Your Partner for Revenue-Generating Retail AI Engines.

We help Retail & Ecommerce SaaS (5M-100M ARR) platforms build the "Pillar Features" that reduce churn, justify premium tiers, and build an unshakeable competitive moat — through AI strategy & implementation

  • Discover hidden customer micro-tribes worth 10-40% more lifetime value
  • predict optimal upsell timing maximizing lifetime value per individual subscriber
  • identify at-risk customers 30-90 days early automatically triggering hyper-personalized retention offers
  • scrape Instagram/TikTok predicting trending micro-cultures 6 months before competitors
  • automated product enrichment that writes SEO descriptions & generates imagery for 100k+ SKUs
  • discover hidden customer micro-tribes worth 10-40% more lifetime value
Systemic Failure Analysis

The 3 Strategic Failures Affecting SaaS AI Roadmaps

FAILURE MODE 01
PASSIVE "COPILOT" ACTION ENGINE

The Passive "Copilot" Trap

Your competitors are adding generic chatbots that just answer questions. It creates noise, not utility. Users don't want to chat; they want results.

FAILURE MODE 02
INTEREST TIME HYPE CYCLE LTV CRASH

Solving for "Cool Tech"

That generative AI feature your team is excited about? If it doesn't directly impact LTV or Platform Retention, it is a vanity metric that burns cash.

FAILURE MODE 03
Q1 Q2 Q3 IN-HOUSE DELAY IONIO

The "Build vs. Buy" Trap

You think your options are a slow in-house team ($1.5M/year gamble) or a generic dev shop. Both are too slow. Speed is your only moat.

Most of our clients also knew
AI was critical
but didn't know where to begin.

Here's what happened next
Conversational Engine: Turning Legacy Platforms into AI-Native Competitors
Modernizing a 9-year-old Monolith to Defend Against AI-Native Startups

We architected a "Conversational Commerce" layer for a legacy shopping platform with 2M+ MAU, bypassing the need for a risky full-platform rewrite.
The challenge was a stagnating UX that was bleeding users to newer, faster competitors. We deployed an AI engine that navigates the platform's 150+ API routes and 100k+ SKUs to handle end-to-end shopping journeys in under a minute.

The SaaS Outcomes
  • Defended the Moat: Stopped user migration to AI-native competitors by modernizing the UX without touching the core 9-year-old legacy codebase.
  • Stickiness: Reduced search time by 80%, directly improving session retention metrics.
  • Enterprise Compliance: Shipped under strict SOC2/GDPR constraints, allowing the client to retain enterprise contracts.
Confidential retail platform
SupplierHQ: Monetizing Audience with a Recurring SaaS Asset
From "Idea" to "Cash-Flowing SaaS Asset" in 8 Weeks

For a high-ticket ecommerce education company, we executed a rapid "SaaS-ification" of their proprietary data. We designed and deployed SupplierHQ, a platform that gives store owners instant cached access to vetted suppliers.
We didn't just build a database; we built a recurring revenue engine. We shipped the MVP in 8 weeks, scaled it to thousands of paying users, and successfully handed the codebase to an in-house team.

The SaaS Outcome
  • Instant ROI: The client recovered the development cost in under 30 days via subscription revenue.
  • Asset Creation: Turned a static list of data into a sellable SaaS asset with recurring MRR.
  • Competitive Wedge: Created a proprietary tool that anchored students to their ecosystem, significantly reducing course refund rates.
SupplierHQ
Dispute Dine — Automating Operations to Unlock a New SaaS Revenue Stream
Automating a Manual Consulting Workflow into a High-Margin SaaS

Dispute Dine automates the complex chargeback disputes for restaurants on platforms like Uber Eats and DoorDash. We transformed a labor-intensive consulting service into a fully automated SaaS.
We built an engine that ingests order data, applies template-driven dispute logic, generates evidence, and queues filings via background workers—removing the human operator entirely.

The SaaS Outcome
  • Scalable Revenues: Enabled the client to switch from "hourly consulting billing" to "high-margin recurring software subscriptions."
  • 100% Automation: The system handles the full loop, allowing the founders to scale from tens to hundreds of clients without increasing headcount.
  • Net-New Reality: Created a brand new category of software for the client, opening a revenue stream that previously didn't exist.
Dispute Dine
Pumice: Transforming Catalog Management into a Premium Revenue Driver
Transforming a "Passive Database" into a Premium Automation Tier

Together with Width.ai, we built Pumice, a custom-LLM engine designed for PIM (Product Information Management) and Marketplace platforms.
Most PIMs are just dumb databases. We built a value-add engine that combines text and image embeddings (CLIP) to auto-classify products, detect duplicates, and generate SEO attributes at scale (~2M runs per day).

The SaaS Outcomes
  • New Revenue Stream: Enabled the platform to launch an "Automated Enrichment" premium tier (upsell).
  • Operational Moat: Replaced the merchant's need for offshore VAs, reallocating that budget directly to the SaaS subscription.
  • 10x+ ROI on Development: The feature allows the platform to charge for compute-heavy tasks that were previously manual.
MicroSegments: Enabling a Premium Personalization Tier for SaaS
Enabling a "Enterprise-Grade" Personalization Tier for Mid-Market SaaS

MicroSegments is a 4-layer reasoning engine we developed that allows SaaS platforms to offer "Agency-Level" strategy as a software feature.
Instead of giving merchants raw data dumps, this engine ingests transactional data (Shopify/Klaviyo) and uses an LLM reasoning layer to identify high-value micro-tribes (e.g., "Ingredient Researchers"). It then autonomously drafts the offers, bundles, and creative angles required to target them.

The SaaS Outcomes
  • Justifies Premium Pricing: Allows the SaaS to sell a high-ticket "AI Personalization" module that directly competes with expensive marketing agencies.
  • Increases Merchant LTV: By uncovering segments with 10–40% higher LTV, the SaaS becomes the primary driver of its customers' revenue.
  • Differentiation: Moves the platform from a "reporting tool" to a "revenue-generating partner."
MicroSegments (Ionio IP)
Retention AI: Building the Churn Prevention Module SaaS Platforms Need
Building the "Churn Prevention" Feature Your Merchants Are Begging For

We developed an exploratory data analysis and churn modeling system for a global retail brand that now serves as the blueprint for "Retention AI" modules in subscription SaaS.
Our models identify high-risk customers 30–90 days before they churn and map them to specific behavioral interventions. We moved beyond simple "at-risk" flagging to prescriptive retention strategies—telling the merchant exactly which offer (fee waiver, education flow) will save the customer.

The SaaS Outcome
  • Indispensability: Embeds the SaaS platform deeply into the merchant's financial health by directly saving them revenue.
  • Prescriptive vs. Descriptive: Shifts the platform from showing churn charts (depressing) to preventing churn (valuable).
  • High-Value Upsell: This functionality is the primary driver for merchants upgrading to "Pro" or "Enterprise" plans on subscription platforms.
Confidential global retailer
Deep Vertical AI

We Only Solve Four Problems.
Exceptionally Well.

No wrappers. We build deep engines for the Retail SaaS ecosystem ($5M - $100M ARR).

Hyper-Personalization

vs. Klaviyo, Attentive, Omnisend

Merchants are sending generic emails. Segmentation takes hours, yet money is left on the table.

The Ionio Engine
I

Smart Segmentation

Discover hidden tribes. Read more

II

Content That Converts

Auto-generated campaigns for each segment.

III

Profit-First Offers

AI dictates exactly what to promote.

Catalog Management

For PIM & Merchandising Platforms

Merchants view you as "just a database." They waste weeks on manual entry and miss trends.

The Ionio Engine
I

Trend Prediction

Spot viral products via social signals early. Read more

II

Automated Enrichment

Instant SEO descriptions & attributes.

Recurring Revenue

vs. Recharge, Skio

Merchants fly blind on churn. They don't know who is cancelling or how to save them.

The Ionio Engine
I

Churn Prevention

Flag at-risk users 30-90 days early. Read more

II

Smart Retention

Personalized offers that save sales.

III

Revenue Recovery

AI dunning for failed payments.

Attribution & AdTech

Coming Soon

Merchants can't trust post-cookie data. Ad spend is a guessing game.

The Ionio Engine
I

Budget Optimization

Prescriptive AI for max ROAS.

II

Creative Intelligence

Auto-briefs for high-performing ads.

The Ionio Difference: Strategic Transformation vs. The "Dev Shop" Trap

Most agencies build what you spec. We build what the markets demand.

Here's our battle-tested Ionio Transformation Framework that's delivered 5-10x ROI on dev over the last 5 years.

Stage 1

Market Deconstruction

Before we build anything, we study your market inside and out.
  1. Map the Real Problems: We connect your platform challenges (churn, weak differentiation, pricing pressure) to your customers' daily frustrations (manual work, poor personalization, scattered data).
  2. Study Your Competition: We sign up for your platform and your top 3-5 competitors. We take their sales calls, test their features, and analyze their positioning to find the gaps they're missing.
  3. Identify Future-Proof Trends: We spot the macro shifts reshaping retail & ecom SaaS (AI-native platforms, agentic commerce, open standards) so your solution stays relevant for years, not months.

What You Get: A Feature-Opportunity Map showing you exactly where to strike - commoditized features, competitor blind spots, and the single highest-impact wedge opportunity for the next quarter.

Stage 2

AI-Native Anatomy™

"We don't bolt AI onto your product. We rebuild it from the inside out."
Your retail platform already has the raw ingredients for AI transformation. We architect them into three powerful capabilities:
  1. Unified Intelligence:
    We connect your fragmented data streams—user behavior, product catalogs, transaction history—into one intelligent context layer.
  2. Predictive Insights:
    We build AI that discovers non-obvious patterns your current analytics miss. ex: micro-segments worth 40% more LTV.
  3. Autonomous Actions:
    We create features that don't just show data—they act on it. Automatically drafting campaigns, triggering retention offers, optimizing pricing.

The Output of This Phase: An "AI Transformation Blueprint"The actual code. We build the engine. You get the fully coded, proprietary AI features integrated into your platform.

Data Layer
Unify real-time shipment data, warehouse inventory levels, and carrier performance metrics.
Logic Layer
Predict potential bottlenecks, identifying a 75% probability of a 2-day delay for shipments at a specific hub.
Experience Layer
Autonomously initiate the re-routing of affected packages and notify stakeholders, preventing the delay before it happens.
Data Layer
Unify on-site browsing behavior with historical email engagement data.
Logic Layer
Discover emergent micro-segments like "high-intent researchers who only buy after viewing return policies."
Experience Layer
Autonomously generate a hyper-personalized campaign for that segment, with custom copy and product recommendations, and queue it for approval.
Stage 3

Deployment & Commercial Success

"A feature isn't finished when it's shipped—only when it's winning".
We answer the three questions that keep CEOs up at night after they've spent $$ on development.
  1. "Will users actually use it?" We design onboarding experiences that drive adoption—in-app tours, checklists, and lifecycle emails that get users to their first win in under 60 seconds.
  2. "Will it scale under pressure?" We stress-test for BFCM traffic, optimize for sub-500ms latency, and build multi-tenant architecture that handles growth from day one.
  3. "Can I prove ROI to my board?" We build dashboards that explicitly measure the feature's impact on churn, upgrade rates, and LTV—so you have the data to justify every dollar spent.

The Output:A Production-Grade Revenue Engine revenue-generating engine. Plus, complete documentation and onboarding so your internal team can confidently take over the codebase.

Data Layer
Unify real-time shipment data, warehouse inventory levels, and carrier performance metrics.
Logic Layer
Predict potential bottlenecks, identifying a 75% probability of a 2-day delay for shipments at a specific hub.
Experience Layer
Autonomously initiate the re-routing of affected packages and notify stakeholders, preventing the delay before it happens.
Data Layer
Unify on-site browsing behavior with historical email engagement data.
Logic Layer
Discover emergent micro-segments like "high-intent researchers who only buy after viewing return policies."
Experience Layer
Autonomously generate a hyper-personalized campaign for that segment, with custom copy and product recommendations, and queue it for approval.

AI transformations delivering 10–20x efficiency and 5–10x ROI across 35+ platforms.

Deep expertise in the AI features that actually move the needle for retail SaaS platforms. Some examples of what we typically build.
"Communication was transparent throughout the project, including pricing, process, and timeline."
Jake Valentine - Founder & Growth Consultant
They said “best decision we made.” Your turn?
Excellence in AI

We Only Solve Four Problems.
Exceptionally Well.

We don't build general "AI Wrappers." We build deep, vertical-specific engines for the Retail SaaS ecosystem ($5M - $125M ARR).

I
Marketing & Personalization

Hyper-Personalization

Competing with Klaviyo, Attentive, Omnisend
The Problem

Your merchants are stuck sending generic emails that don't convert. They waste hours on segmentation but still leave money on the table.

  • Smart Segmentation

    AI that discovers hidden customer tribes with 10-40% higher LTV. Read more

  • Content That Converts

    Automatically generated campaigns tailored to each segment. Read more

  • Profit-First Offers

    AI that tells merchants exactly what to promote to whom.

The Result

Your platform becomes the source of your merchants' most profitable campaigns—a feature your competitors can't easily copy.

Book a Call
II
Merchandising

Catalog Management

For PIM, Catalog, and Merchandising platforms
The Problem

Your platform is seen as just a database. Meanwhile, merchants waste weeks on manual catalog work and miss trends until it's too late.

  • Trend Prediction

    AI that spots emerging products from social signals months before competitors. Read more

  • Automated Enrichment

    Instant SEO descriptions, attributes, and product data optimization. Read more

The Result

Transform from "PIM tool" to "Profit Engine"—giving merchants an unbeatable trend advantage that justifies premium pricing.

Know More
III
Retention

Recurring Revenue

Competing with Recharge, Skio
The Problem

Merchants are flying blind on churn. They don't know who's about to cancel or what offer will save them.

  • Churn Prevention

    Identify at-risk subscribers 30-90 days before they cancel. Read more

  • Smart Retention

    Personalized save offers that actually work. View Paper

  • Revenue Recovery

    AI-driven dunning that recovers failed payments.

The Result

Reduce merchant churn by up to 25% and boost subscription upgrades—making your platform essential.

Read Research
IV
In Development
AdTech

Attribution & Analytics

Competing with Triple Whale, Northbeam
The Problem

Merchants can't trust the data. They don't know where to allocate spend for maximum ROAS in a post-cookie world.

  • Budget Optimization

    AI that prescribes exactly where to spend for maximum ROAS.

  • Creative Intelligence

    Automatic insights and briefs for better-performing ads.

Coming Soon

Deliver 10-20% ROAS improvement and provide clarity your competitors can't match.

Most mid-market SaaS platforms face an impossible choice.

You know AI is the key to differentiation, but the path forward is unclear.

01
Hire McKinsey?

A $2M strategy deck with zero code shipped.

They identify the problem but leave you stranded without execution.

02
Outsource Dev Shop?

They build exactly what you spec.

Lacking the market expertise to challenge assumptions or drive revenue.

03
Build In-House?

12-18 months to hire a team.

Another year to ship, and a 73% chance the project fails entirely.

The New Standard

Partner with Ionio.

We are not generalists. We are a specialized force that embeds with your team to deliver a strategic AI moat in 90 days.

Our advisory team includes

Former Product Leaders Expertise from $20M+ retail tech platforms.
Retention Strategists Veterans in Shopify, Klaviyo, Recharge & major competitors.
PIM Architects Engineers who have managed 500K+ SKU catalogs.

What's the ROI on a 15% Churn Reduction?

If your platform does $10M ARR, a 15% reduction in churn is $1.5M in saved annual revenue. Our AI engines are designed to deliver a 5-10x return on your investment, turning your product into an indispensable revenue-driver.

BOOK A CALL

The Economics of Transformation

We build your strategic AI moat in one quarter, not 18 months.
Here is the business case.

The Old Way

The $1.5M In-House Gamble

Total First-Year Cost
$1.5M - $2M+
High burn rate with zero guarantees
Timeline to Value 18 Months
  • Bloated Team: Requires 3 ML Engineers, 2 Data Engineers, 1 PM ($1.2M+/yr).
  • High Risk: 70% of in-house AI projects fail to deliver ROI.
  • Strategic Guesswork: Audits based on "vibes" rather than data.
The Ionio Way

The Ionio Transformation Engine

Fixed-Cost Implementation
$80k - $120k Base + Performance
Exact investment depends on the specific wedge opportunity and revenue impact identified during Market Deconstruction.
Timeline to Value ~90 Days
  • Elite Squad: World-class AI strategists & engineers embedded with you.
  • Aligned Incentives: Deployment & success fees based on actual ROI.
  • Precise Execution: Audit to production in 10-12 weeks.
Client Average: 10x-20x ROI
Ionio IP

We Don't Start From Scratch.
Neither Should You.

Over the years, we've built and refined a library of retail-specific AI components. When you partner with us, you get battle-tested technology ready to be deployed — not experiments.

Personalization

MicroSegments Engine

Discovers hidden customer tribes your analytics miss. Our 4-layer reasoning engine ingests transactional data from Shopify or Klaviyo—and identifies micro-segments worth 10-40% more LTV.

Retention

Churn Prediction Engine

Identifies at-risk customers 30-90 days early. Goes beyond flagging to prescriptive interventions—telling merchants exactly which offer will save each customer.

Published Model HuggingFace →

SOTA Retail Embedding Model

Open-source embedding model fine-tuned for retail. Outperforms general models by 80%+ on product matching, taxonomy standardization, and inventory migration.

A B
Revenue GitHub →

Smart Bundling Engine

Automatically creates dynamic product bundles that increase AOV and ACV. Combines LLM reasoning with our retail embeddings to suggest complementary products and generate bundle marketing copy.

RAW
Merchandising

Catalog Enrichment Engine

Transforms PIMs from passive databases into profit engines. Auto-classifies products, detects duplicates, and generates SEO descriptions at scale. Currently processing ~2M enrichments per day.

Discovery

Visual Search Pipeline

Let customers search with images. Extracts visual attributes—color, shape, texture—and retrieves similar products instantly.

Research

Read about our research work in different domains written by our team of AI researchers, not content writers

Business Applications of Video Chat with LLMs

Have you ever wondered what it would be like to chat with language models as naturally as you video chat with friends? Imagine sharing every random thought or question just as it pops into your mind

Garima Saroj
May 24, 2024
Read

How to Create an AI Agent to Manage Your Email Inbox and Reply to...

This is part 2 of creating an AI agent to manage and reply to your cold emails blog where we saw how to create an AI agent using Langchain which can classify and reply to your cold emails in your tone and style.

Shivam Danawale
May 24, 2024
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A Comprehensive Guide About Langgraph: Code Included

In this blog, we will explore how Langgraph can help us to automate complex and large workflows using its unique decision making and easy to understand architecture.

Shivam Danwale
May 13, 2024
Read

Demonstrating Virtual Clothing Try-on(VTON) using Hugging Face

With Virtual Try-On(VTON) technology, your business can help customers feel sure about their choices and enjoy shopping in a whole new way. Are you ready to see how this simple yet powerful tool can help your business.

Garima Saroj
May 2, 2024
Read

What are Large Action Models (LAM) and How They Work?

In this article, we will discuss a new trend in the generative AI field that is large action models that can not only give instruction on how to perform any task but can take action on user's behalf.

Shivam Danawale
May 2, 2024
Read

LLMs in production with guardrails

For LLMs, guardrails are crucial safety measures that guide our models to avoid unintended harm. Implementing these guardrails not only prevents errors and ensures compliance with regulations, but also boosts customer trust and your company's reputation...

Garima Saroj
April 30, 2024
Read

A Comprehensive Guide on Merging Language Models

Combining LLMs with techniques like SLERP, TIES, DARE, and MoE boosts capabilities without excessive computational burden. Uploading merged models to the Hugging Face Hub demonstrates the efficiency of this approach.

Shivam Mitter
April 1, 2024
Read

Fastest Token First: Benchmarking OpenLLMs by inference speed

Latency, especially in the context of Large Language Models LLMs), plays a crucial role in determining their practical utility, especially in real-time applications where responsiveness is paramount.

Srihari Unnikrishnan
March 14, 2024
Read

Business Applications of Video Chat with LLMs

Have you ever wondered what it would be like to chat with language models as naturally as you video chat with friends? Imagine sharing every random thought or question just as it pops into your mind

Garima Saroj
May 24, 2024
Read

How to Create an AI Agent to Manage Your Email Inbox and Reply to...

This is part 2 of creating an AI agent to manage and reply to your cold emails blog where we saw how to create an AI agent using Langchain which can classify and reply to your cold emails in your tone and style.

Shivam Danawale
May 24, 2024
Read

A Comprehensive Guide About Langgraph: Code Included

In this blog, we will explore how Langgraph can help us to automate complex and large workflows using its unique decision making and easy to understand architecture.

Shivam Danwale
May 13, 2024
Read

Demonstrating Virtual Clothing Try-on(VTON) using Hugging Face

With Virtual Try-On(VTON) technology, your business can help customers feel sure about their choices and enjoy shopping in a whole new way. Are you ready to see how this simple yet powerful tool can help your business.

Garima Saroj
May 2, 2024
Read

What are Large Action Models (LAM) and How They Work?

In this article, we will discuss a new trend in the generative AI field that is large action models that can not only give instruction on how to perform any task but can take action on user's behalf.

Shivam Danawale
May 2, 2024
Read

LLMs in production with guardrails

For LLMs, guardrails are crucial safety measures that guide our models to avoid unintended harm. Implementing these guardrails not only prevents errors and ensures compliance with regulations, but also boosts customer trust and your company's reputation...

Garima Saroj
April 30, 2024
Read

Business Applications of Video Chat with LLMs

Have you ever wondered what it would be like to chat with language models as naturally as you video chat with friends? Imagine sharing every random thought or question just as it pops into your mind

Garima Saroj
May 24, 2024
Read

How to Create an AI Agent to Manage Your Email Inbox and Reply to...

This is part 2 of creating an AI agent to manage and reply to your cold emails blog where we saw how to create an AI agent using Langchain which can classify and reply to your cold emails in your tone and style.

Shivam Danawale
May 24, 2024
Read

A Comprehensive Guide About Langgraph: Code Included

In this blog, we will explore how Langgraph can help us to automate complex and large workflows using its unique decision making and easy to understand architecture.

Shivam Danwale
May 13, 2024
Read

Demonstrating Virtual Clothing Try-on(VTON) using Hugging Face

With Virtual Try-On(VTON) technology, your business can help customers feel sure about their choices and enjoy shopping in a whole new way. Are you ready to see how this simple yet powerful tool can help your business.

Garima Saroj
May 2, 2024
Read

What are Large Action Models (LAM) and How They Work?

In this article, we will discuss a new trend in the generative AI field that is large action models that can not only give instruction on how to perform any task but can take action on user's behalf.

Shivam Danawale
May 2, 2024
Read

LLMs in production with guardrails

For LLMs, guardrails are crucial safety measures that guide our models to avoid unintended harm. Implementing these guardrails not only prevents errors and ensures compliance with regulations, but also boosts customer trust and your company's reputation...

Garima Saroj
April 30, 2024
Read

A Comprehensive Guide on Merging Language Models

Combining LLMs with techniques like SLERP, TIES, DARE, and MoE boosts capabilities without excessive computational burden. Uploading merged models to the Hugging Face Hub demonstrates the efficiency of this approach.

Shivam Mitter
April 1, 2024
Read

Fastest Token First: Benchmarking OpenLLMs by inference speed

Latency, especially in the context of Large Language Models LLMs), plays a crucial role in determining their practical utility, especially in real-time applications where responsiveness is paramount.

Srihari Unnikrishnan
March 14, 2024
Read

Working with the Ionio team has been incredible. They took our complex, undocumented codebase and turned it into a clean, production-ready system with proper CI/CD, testing, and documentation. Their technical depth and professionalism raised the bar for our own internal standards. Despite limited time zone overlap, communication was seamless, with constant progress updates and zero blockers. I fully trust and rely on the team for all future projects.

Shaun Brown

Orbit Metrics - Founder & CEO

Working with the team was an outstanding experience from day one. They helped us move from concept to a full SaaS MVP in just six weeks and kept iterating rapidly from there. Communication was clear despite the time zone gap, and their responsiveness during critical moments was exceptional. The project management and professionalism made development smooth and fast. I’d absolutely collaborate with this team again for future products.

Michael Guimarin

Wordout - Founder & CEO

We'd be happy to refer your work in future.

Anshula Chowdhury

Social Asset Measurements - Toronto, Ontario

 
Working with the team was an incredible experience from start to finish. They understood my idea instantly and delivered a solution before our first call. Communication was smooth, and their professionalism stood out throughout the project. What impressed me most was how effortlessly they bridged the gap between technical and non-technical understanding. I couldn’t recommend them more highly for anyone building something impactful.

Eanna Mac Gearailt

GrowthLab growthlab.ie

"Ionio are true professionals. Rohan took the time to understand our business needs, helped us setup an efficient cold emailing automation system, and patiently walked us through the entire process. It is rare to find a company that is as transparent, reliable, and committed as Ionio. Highly recommend!"

Jared AE

Winchester College

Working with the Ionio team has been an absolute pleasure. They built a solid MVP that helped us quickly go to market and scale. Communication was seamless across time zones — always quick, responsive, and collaborative on Slack and WhatsApp. The team consistently delivered high-quality work and made the entire process effortless. I’d fully recommend them to anyone looking for a reliable, world-class tech partner.

Reid Chong

Dex - Co-Founder

Ionio worked on our US hours with daily Slack updates — no timezone friction and no black-box surprises.Rohan already knew the pieces; they shipped a handwriting model and data-sourcing system in a couple weeks.That pipeline let us target the right prospects, acquire several assets, and generate multiple six-figure revenue on a $5–10k spend.

Alexander Pryor

PSA 10 Invesment Group - Co-Founder

Working with the Ionio team has been an incredible experience. They instantly understood my vision and turned my SaaS idea into a clean, user-friendly product that exceeded expectations. The team is fast, reliable, and always meets deadlines without compromising quality. They made even complex transitions, like a SaaS acquisition, feel smooth and stress-free. I’d recommend them to anyone looking for a talented, trustworthy development partner.

Thomas Manwaring

Hypemail - Founder & CEO

Working with the team has been nothing short of amazing. They took my concept, understood it deeply, and turned it into a working SaaS in just eight weeks. The process was smooth, communication effortless, and results exceptional. Their attention to detail and speed made everything feel easy. I genuinely trust them with every part of my product journey.

Greg Warner

Revvy - Founder

We'd be happy to refer your work in future.

Anshula Chowdhury

Social Asset Measurements - Toronto, Ontario

"Ionio exceeded our expectations in every aspect of building our MVP. Their ability to understand our vision, fill in the gaps in our requirements, and deliver a high-quality product within a tight timeline was truly impressive. The team's professionalism and dedication shone through, especially during the stressful launch period, where their round-the-clock support and quick resolution of issues were invaluable. With Ionio's expertise, we not only launched a successful MVP but also gained confidence in our product's potential. Working with Ionio was a game-changer for our startup journey!"

Brad Milne

SupplierHQ - Co-Founder

"Ionio is a good partner for startups because they are willing to work with the client throughout the entire development process.  This was essential for me as I didn't have a lot of experience building software products."

"Ionio is willing to take the time to understand the client's needs and build a product that meets their specific requirements.  This was invaluable to me as I was starting out and didn't have a clear vision for what the final product should look like."

Ryan Samii

Standard Draft - Founder & CEO

"I had the pleasure of working with Rohan and his team, and it was a truly enlightening experience. They guided us through a thorough Discovery phase, asking the right questions and genuinely listening to our needs. What impressed me the most was their ability to understand our concept and transform it into something concrete. They provided what we needed, not just what we asked for.

The collaboration involved creating flow diagrams and a first draft proof of concept, showcasing their capabilities. This allowed us to propose the idea to clients and gauge its viability.

Ionio's creativity and willingness to challenge our concepts were outstanding. They provided valuable guidance and made the creative process exciting.I highly recommend Ionio for their expertise, professionalism, and ability to turn ideas into tangible solutions."

Eric Bort

ClearlyTrained - Founder & CEO

"We needed to automate our monthly internal workflow to save time. I found Rohan, and his communication was excellent. They understood our needs, budget constraints, and North American business practices. We collaborated on the project workflow using flowcharts, Loom videos, and a Google Sheets mock-up. Rohan quickly understood and improved upon my ideas. They were transparent about pricing, timelines, and obstacles we faced. The fixed price agreement gave us peace of mind.

Ionio delivered the software on time and adapted to changes in our workflows. They were committed to project success and building a long-term relationship. The software saves us around 100shrs/ month and eliminates the need for virtual assistants. It streamlines our processes and facilitates scaling.

I highly recommend reaching out to Ionio for their exceptional work. Thank you, Rohan and Ionio!"

Jake Valentine

DealFlow - Founder

We'd be happy to refer your work in future.

Anshula Chowdhury

Social Asset Measurements - Toronto, Ontario

"Shout out to Rohan & the team at Ionio for their flawless communication and outstanding work on our SaaS project. We were facing a payment problem in the influencer agency space and needed technical talent…Rohan's communication was excellent, and he even suggested valuable improvements for our product. We provided designs and core functionality, and within eight weeks, they helped us ship our MVP. Rohan & the team at Ionio were proactive in debugging and implementing fixes. It was an incredible experience working with them.

I highly recommend Ionio for AI and SaaS projects. Thank you!"

Dean Sloves

PayBatch - Founder & CEO

We'd be happy to refer your work in future.

Anshula Chowdhury

Social Asset Measurements - Toronto, Ontario

"We consulted with the lonio team on a crucial piece of Infrastructure we were blocked on. In Just 2 sessions, they were able to unblock us and helped save thousands $$$. In trial and error cost. lf you're a bootstrapped SaaS founder. it's easy to skip critical infrastructure decisions that impact the long-term health of your software. This knowledge is usually very costly (either in time or in dev cost), so consulting with someone like Rohan and his team is a no-brainer if you need clarity on to what the best steps forward are. Do it even before you start coding, or as soon as possible! Bonus: Rohan is always happy to extend sessions and truly help out."

Yash Chavan

Saral - Founder & CEO

"Ionio has been exceptional. They have been accommodating with cultural and language barriers, and their availability during our working hours has made communication seamless. They provided valuable expertise and suggestions for our product roadmap. They consistently deliver on time with minimal bugs. Overall, Ionio has been the perfect partner for our outsourced development needs, and we look forward to continuing our collaboration in the future."

TJ Grottfried

Veerview - Founder & CEO

We'd be happy to refer your work in future.

Anshula Chowdhury

Social Asset Measurements - Toronto, Ontario

"Ionio has been a trusted partner to Recommendify for the last year. Their CEO Rohan is an invaluable source of advice on emerging technology trends and building remote teams in a cost-effective way."

Evan Dempsy

Recommendify - CEO

Rohan Sawant, the CEO of Ionio does excellent consulting work for my business. I can't say enough good things about him and his team of associates. He's a great guy to work with and he works hard for us. He has extensive technical knowledge of Web Development, Programming & Online Marketing. He's is always organized, responsive and accountable. He takes pride in his work and is highly motivated. He's a talented guy with a good work ethic. I could recommend him for all sorts of work and know he would do a good job.

Michael Stewart

US Commercial Photography Business Owner

The Ionio team is just fire. Want something done fast? “Yep Yep”. Want something cool and innovative? “We can do that”. Nothing is beyond their reach. They are available to chat, strategize and revise. Simply put - they get it done and we enjoy working with them. Great people!

Brooke D. Daye

FIT24 - Founder & CEO

We'd be happy to refer your work in future.

Anshula Chowdhury

Social Asset Measurements - Toronto, Ontario

Rohan and his team definitely know what they're talking about when it comes to building software. As an engineer myself, I can totally vouch for Rohan and his team! They're not one of those devs where they fuck you over with overpriced quotes and crappy made projects. Man really knows how to deliver, and most importantly -- executing fast on that.

Kristian Ivanov

Influetize

Holy SMOKES! I had the pleasure of getting to meet with Rohan and he patiently walked me through a ton of answers I've had about the SaaS game and the technical side of SaaS (where I'm most in the dark). Extremely helpful, sharp, highly recomended!

Brittany McDaniel

Text An Offer - CEO

I reached out to Rohan when I was looking for a development agency to build a SaaS for me. He was able to come up with the basic architecture within like 30 minutes then quickly sent over a technical overview, cost estimate, risks, limitations and more. Rohan even went out of his way to research and refer me to a few relevant projects - all based off a short description I gave Rohan of what I wanted. I was impressed by not only his technical proficiency but also his speed and transparency. Rohan knows his tech, I'd. happily trust him to build a SaaS for me any day. 

Steve Caruso

CEO - Cold Email Champs

I am a follower of Rohan on Twitter and I was always impressed by how well he understood SaaS. I was curious and had some questions about services and how he validates product ideas. I jumped on a call with Rohan at Ionio. I was impressed by Rohan's experience and advice he gave me on idea validation. If you are looking to get a SaaS or an App built, I would happily trust guys over at Ionio

Krisztian Gyuris

Kadabra Labs

Rohan (& the team) at Ionio provided excellent consulting on the development of our software application process coupled with insights into customer success and application. He inquired, listened, and provided solutions to help me, with selfless regard only for my own interest. If there is anyone interested in building software to help themselves or their customers' success, Rohan is the man for the job.

Ian Baun

Founder, Olexicon

"If you're in the exploratory, initial phase of your App Development venture, I highly encourage Rohan & the team at Ionio as a guide to walk you through it. They are the kind of personalities you need right now."

"Communication with Rohan is always warm, straightforward, and based on bidirectional trust that money just cannot buy. If you cannot afford to get it wrong the first time, you should go with Rohan."

SaaS Tux

CEO

I have had the delight and pleasure to be acquainted with Rohan Sawant over the past few years… He has made valuable contributions to the online community that we are both members… The projects that I have seen him work on have beencommunicated in a fashion that provokes interest and further questions… There is also the willingness to ask for information from other areas, and incorporateimportant concepts into his projects…  I look forward to the continuing progress of Rohan's work – this is one to watch.

Arlene Andrews

Context Tester / Writer

I had a new idea for a SaaS and was looking to validate the idea. I came across Rohan and we outlined some plans to get from A to B faster. Saving me a couple of days of planning, priceless.

SaaS Sniper


I approached Rohan for his suggestion regarding an issue I was trying to resolve. He has responded pretty soon and suggested few changes in the code which worked out in resolving the issue. He has good knowledge of various aspects of Web frameworks in Python. Thank you for your response and suggestions.

Naren Vema

Lead Developer at National Collateral Management Services

I had an issue with AWS Kinesis Video Stream SDK CPP library for compiling and building G Streamer plugin for kinesis video stream service. I found that Rohan was one of the contributor for the library and I hit him up for a solution. With his great python knowledge and experience using docker, he suggested me the best solution that I could get for the problem. He was really responsive and professional in his way of explaining on how to tackle the issue.

Harkirat Grewal

Student Researcher at WIMTACH

Not many people can be so efficient and helpful as Rohan was. He is knowledgeable and a pleasure to work with. When I was going through the hardships of my current project, he was somebody that I trusted and  looked toward for guidance and advice. His overall presence had a positive impact on my work along with my individual knowledge. He helped me in understanding Azure infrastructure and many more. I'm sure he'll be an asset to any organization he joins.

Chaitanya Lakshmi Indukuri

AWS Certified Solutions Architect

Rohan has an extremely strong grasp over the intricacies, complexities, and Challenges of working with Deep Learning, Machine Learning, and Software in general. I reached out to Rohan when I needed help with an OpenCV Python issue I was having trouble with. He was surprisingly excited to help me with it, Rohan was able to fix something less than an hour. He even went on to answer my corresponding Stack Overflow. So that others could benefit from it as well. Rohan is technically strong, a real people person and someone whom I can see myself collaborating with for several projects to come in the near future.

Sajjad Rostami

PhD in AI

Stop Guessing. Start Growing.

Still have questions? Let's talk. Book a 30-min strategy call

We are a very lean core team, so can only take on 3-5 partners at a time. The next step is a 30-minute AI Strategy Call where we'll map your market's biggest opportunity. You’ll meet me, Rohan Sawant, Founder.

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Frequently Asked Questions

"How is this different from hiring 3 ML engineers?"

An engineering team builds what you spec. We bring a proven framework—market deconstruction, adoption playbooks, ROI dashboards—that ensures the feature wins. You're buying a 5x faster path to revenue, not just code.

"What if Shopify launches this feature tomorrow?"

That's exactly why we build moats, not features. Our architectures use your proprietary data and customer relationships—things Shopify can't replicate. We future-proof against commoditization.

"Can we start small to prove ROI?"

Every engagement starts with a $5-25K AI Strategic Audit. You get the full battlefield map before committing to build. No blind bets.

"Our in-house team is already experimenting with AI."

Perfect. We embed with them, upskill them in our 90-day sprint, and ship 10x faster. You keep the IP; we keep the execution risk.

"How do you measure success?"

We build board-ready dashboards that track impact on churn, LTV, and upgrade rates. If we can't measure it, we don't ship it.

"What's the catch?"

We are a very lean core team, so can only take on fewer than 3-5 partners at a time. We work better with companies who have flat hierarchies, lack of extended middle management, those who value relentless intensity & total ownership in execution over red tape, busy work & politics. We would not be a good fit for slow-moving organizations resistant to change, iteration & speed.