AI AUTOMATION & PRODUCT ENGINEERING

We Build the Systems Your Business Runs On

iotalabs designs AI automation and custom software that removes manual work, connects your tools, and holds up in production.

From first sketch to production. Designed, engineered, supported.
Trusted by forward-thinking brands
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Practical AI insights without the hype

Get useful lessons on AI agents, automation and building production-ready AI systems.

No spam. Unsubscribe anytime.

[ DIY quick hacks ]
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Looks easy. Breaks under pressure.

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Tool limits
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No validation
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Hard to debug
[ iotalabs with guardrails ]
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Unified data access
CRM • Docs • Email
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Safety & compliance
Access controls
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Human oversight
Review when needed
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Reliable execution
Tickets • Updates
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Engineered, observable, safe

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Validated outputs
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Safe actions
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Tracked updates
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Rated 5 stars by the teams we ship for

“Great technology matters, but true impact comes from understanding the problem first.”

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Founder, iotalabs
WHAT WE BUILD

AI Automation and Product Engineering

AI Workflow Automation

We map the work your team repeats every day and rebuild it as automated, observable pipelines.

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Process mapping
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Real-time system integration
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AI Agents & Copilots

Custom agents that hold context, make scoped decisions, and act inside your systems, with a human in the loop.

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Support & Chat Automation

Assistants that answer from your real documentation and escalate the moment they should.

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What do you want to automate?
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We handle 100+ support chats a day.
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I can take tier-1, route the rest, and sync to your desk.
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Let’s do it.
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Client Satisfaction rate

Product Design & Engineering

We design and ship the web and mobile products around your AI, from prototype to production release.

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Data Platforms & Integrations

We unify data across your stack so information moves automatically, accurately, and with an audit trail.

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Pipelines & warehousing
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Cross-platform automation
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Not Sure Where to Start?

20 to 30 minutes. A real conversation, no pitch deck.
why choose us

Engineering That Survives Contact With Production

iotalabs is a small senior team of engineers, designers, and AI specialists. We build systems we’d be happy to be on call for.

How can we use AI to handle inquiries, tasks, and follow-ups automatically?

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We plug into your stack:
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Senior-Only Team

The people who scope your project are the people who build it. No handoff to a junior bench.

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Fits Your Stack

We integrate with the tools, data, and workflows you already run. No rip-and-replace.

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Human + AI Approach

Approvals, audit trails, and clean escape hatches. Oversight designed in, not bolted on.

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End-to-End Delivery

Strategy, design, build, deploy, and the unglamorous work of keeping it running.

[ Built for production ]
[ Designed for people ]
[ Measured, not guessed ]
[ Human in the loop ]
[ Shipped, not demoed ]
[ Built for production ]
[ Designed for people ]
[ Measured, not guessed ]
[ Human in the loop ]
[ Shipped, not demoed ]
[ Built for production ]
[ Designed for people ]
[ Measured, not guessed ]
[ Human in the loop ]
[ Shipped, not demoed ]

From Strategy to Something You Can Ship

A four-stage process that turns a rough goal into a running system, with checkpoints you control.

[ Step - 01 ]

Discovery & Consultation

We start with your goals, your constraints, and an honest read on where automation actually pays back.

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Identify automation opportunities
Discovery
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Planning
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Development
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Optimization
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Review
[ Step - 02 ]

Strategy & Blueprint

You get a written roadmap: what we build, what data it needs, where it plugs in, and what it costs.

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Build your strategy blueprint
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Outline project scope and success metrics
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Map AI workflow architecture
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Approve the final implementation plan
[ Step - 03 ]

Development & Implementation

We build and deploy in reviewable increments, so you see working software long before launch day.

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Design, build, and test your AI solution

Our engineers bring the plan to life, developing custom AI agents, automation pipelines, and chat systems. Each component is integrated with your internal tools, tested in real conditions, and optimized for stability before going live.

[ Step - 04 ]

Optimization & Support

We monitor what we shipped, tune it against real usage, and stay reachable when something breaks.

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Continuous improvement and support
•  Task success rate
•  Response accuracy
•  Processing speed
OUR TOOLKIT

The Engine Room

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LangChain
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TensorFlow
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PyTorch
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Zapier
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Make (Integromat)
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n8n
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Python
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LangChain
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TensorFlow
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PyTorch
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Zapier
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Make (Integromat)
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n8n
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Python
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LangChain
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TensorFlow
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PyTorch
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Zapier
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Make (Integromat)
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n8n
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Python
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Google Sheets
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Airtable
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Notion Database
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PostgreSQL
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BigQuery
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HubSpot
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Python
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Google Sheets
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Airtable
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Notion Database
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PostgreSQL
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BigQuery
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HubSpot
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Python
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Google Sheets
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Airtable
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Notion Database
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PostgreSQL
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BigQuery
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HubSpot
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Python
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Cloudflare
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Datadog
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Vercel
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AWS
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Twilio
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Gmail
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Intercom
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Cloudflare
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Datadog
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Vercel
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AWS
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Twilio
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Gmail
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Intercom
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Cloudflare
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Datadog
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Vercel
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AWS
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Twilio
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Gmail
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Intercom
This is the stack we actually ship on, chosen for boring reliability over novelty.

Case Studies

Building Scalable AI for

Healthcare

Finance

Logistics

We’ve built for regulated industries and fast-moving startups alike. The engineering discipline doesn’t change.

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Schedule a Consultation
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Prat Sawant, Project Manager
FIXED-PRICE PROJECTS

Every Project Gets a Fixed Quote, Not a Guess.

You'll know the exact number before we write a line of code. No surprise invoices, no scope creep.

Essential Automation

A single well-scoped automation, live and documented.

1–2 week build
Included Features:
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1 to 2 basic automations
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Basic chatbot or light
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Email support
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Integration with 1 tool
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Workflow testing
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1 revision

Advanced AI Build

Most popular

For teams that need a real agent, real integrations, and real testing.

4–8 week build
Included Features:
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Custom AI agent
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Multi-tool integrations
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Automated workflows
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Full testing + optimization
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Documentation
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Two revisions

Software Product Build

A web or mobile product designed, built and shipped to production.

6–12 week build
Included Features:
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Web or mobile app
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UX and interface design
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API and database build
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Auth and user roles
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Deployment and handover
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Two revisions

Ongoing Support & Optimization

Updates, tweaks, bug fixes, and monitoring on what we built.

Monthly · Cancel anytime

Not sure which of these fits?

DELIVERY SCENARIOS

What Good Delivery Looks Like

Clear scope, thoughtful implementation, and systems built to hold up in production.

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Customer Support Team

B2B software
Delivery approach

Routine questions are answered from the existing help centre, while clear handoff rules show the support team exactly why a conversation was escalated.

Support assistant connected to the existing help centre and ticket queue.
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Operations Team

Professional services
Delivery approach

The first release removes weekly copying and checking while preserving the approval step the operations team already trusts.

Workflow automation with review checkpoints and a searchable audit trail.
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Product Team

Early-stage SaaS
Delivery approach

The smallest useful release ships first. Monitoring then shows where it fails before the product team adds more integrations.

Scoped product build with staged rollout and production monitoring.

Your Questions, Answered

Here are answers to the questions we get most often about our projects, pricing, and process.

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Need More Clarity?

We’re here to help you make the right decision.

How do I know which pricing plan is right for me?

Start with Essential Automation if you have one clear, repetitive process to remove. Choose Advanced AI Build if you need a custom agent, several integrations, or multi-step workflows. If you’re between the two, book a call and we’ll tell you which one your problem actually needs.

Do you offer monthly or subscription-based pricing?

Build work is fixed-price and one-time, so you know the number up front. Ongoing Support & Optimization is the only monthly line item, and it’s optional. Plenty of clients take the build and run it themselves.

What tools and platforms do you work with?

Most of our work lands on Python, TypeScript, and Postgres, with LangChain for agent orchestration and n8n, Make, or Zapier where a visual workflow is the right answer. We integrate with the CRM, docs, and comms tools you already use rather than asking you to move.

How long does an AI project usually take?

A single automation is usually two weeks. A custom agent with integrations and testing runs four to eight weeks. Product builds depend on scope. We give you a written estimate before anyone writes code, and we flag slippage early rather than at the deadline.

Do you provide ongoing support after the project?

Yes. Everything we build ships with documentation and a handover session, so you can run it without us. If you’d rather we stayed on for monitoring and tuning, that’s the ongoing plan, but it’s a choice, not a lock-in.

Who owns the code you write?

You do. Every artefact we produce, including code, prompts, workflow definitions and infrastructure config, is delivered into your own repositories and accounts and is yours outright. Nothing is held back to keep you on a retainer.

WRITING

Notes From the Build

Ready to Build Something That Lasts?

Tell us what you’re trying to fix. We’ll tell you straight whether we’re the right team for it.