AI Agents & Agentic Workflows
Multi-step agents that plan, call your systems and finish real work — like Mindgate's Jira RCA agent and Meesho Memory, built on Google's Agent Development Kit.
Generative AI
GenAI that ships,
not just demos.
AI agents, automations and agentic workflows wired into the work your people do every day — and Gemini Enterprise with 80+ premade connectors when you're ready for AI on every desk. Full-scale AI transformation, already live across enterprises and two state governments.
- $150K Saved by one AI voice agent
- 80+ Premade Gemini Enterprise connectors
- 2 State governments live
The point of it all
Everyone can demo GenAI. Far fewer can run it.
A polished demo is the easy 20%. The hard 80% is grounding a model in your own data, keeping it private and accountable, and making it dependable enough that people trust it on a Monday morning. That's the part we're good at — AI agents, automations and agentic workflows built on Google Cloud, governed properly, and tied to outcomes you can measure. Whether it's one use case or a company-wide AI transformation, our own delivery runs majorly on AI too — which is how we move at startup speed with enterprise rigour.
What we build
Six ways AI earns its keep.
AI Automation
End-to-end automations that take whole workflows off your team's plate — triage, document handling, analysis — plus custom models and APIs where the problem is genuinely yours, like Pratilipi's four story-intelligence APIs.
Conversational AI
Contextual, human-like interactions across chat, voice and support — like the Meesho voice bot we made 40% faster.
Intelligent Search & RAG
Multilingual search and Q&A grounded in your whole ecosystem — answers with citations, not hallucinations.
Content & Creative Generation
High-quality, brand-aligned content produced faster and far more affordably — at the volume modern marketing actually needs.
Gemini Enterprise · 80+ Connectors
AI on every desk: unified search, expert agents and 80+ premade connectors — rolled out, governed and genuinely adopted.
How it works
From use case to production.
Frame
We pick a use case with a real owner and a measurable outcome — not the flashiest one, the useful one.
Ground
We connect the model to your data with RAG, so answers are sourced from your truth.
Build
We ship the agent, automation or copilot, integrated into the tools your team already lives in.
Evaluate
We measure quality, add guardrails, and harden it for privacy, cost and accuracy.
Adopt
We drive real adoption and hand over something your team owns and improves.
Why it matters
The model is the easy part. Trust is the hard part.
We build agents and automations that are grounded, governed and genuinely adopted — so they survive contact with a Monday morning.
Customer wins
In production, on the record.
A few of the AI agents, automations and transformations we've shipped on Google Cloud.
Mindgate AI-powered Jira RCA agent
Jobizo AI-first recruitment, 3 intelligent APIs
Meesho Memory Document intelligence on Workspace
Meesho Talk-to-your-data AI agent
Trumeds 85%+ AI forecast accuracy, 22,000 SKUs
Also live with —
Pratilipi · 4 story-intelligence APIs
ONDC · AI chatbot
Eros Now · face-swap & lip-sync
PhysicsWallah · 10,000 calls analysed
Maharashtra Govt · multilingual search
Gujarat Govt · chatbots & voice
Good questions
The things people ask us first.
How is this different from the usual GenAI hype?
We move past demos to production. Our track record spans real enterprise and government deployments — Pratilipi, ONDC, Eros Now, PhysicsWallah and two state governments — not slideware.
Do you build AI agents and agentic workflows?
Constantly. Multi-step agents that plan, call your systems and complete real work — like Mindgate's Jira root-cause-analysis agent and Meesho Memory on Google's Agent Development Kit — plus the AI automations around them.
Will our data stay private?
Yes. We build on Google Cloud with enterprise-grade security, clear data governance and responsible-AI guardrails — your data trains your solution, not someone else's model.
Which models do you use?
We're model-pragmatic: Gemini and Google Cloud's AI stack by default, with the right model chosen per use case. The goal is the outcome, not allegiance to one model.
Should we build or buy?
Both, honestly. We roll out Gemini Enterprise with its 80+ premade connectors where it fits, and build custom agents and models where your problem is genuinely yours. We'll tell you which is which.
Can you handle regulated or government work?
We already do — multilingual search and chatbots for the Maharashtra and Gujarat governments, across hundreds of sources and multiple languages.
Generative AI
Have a use case in mind?
Tell us the workflow that's eating your team's week. We'll show you what GenAI does to it.