Project podWeeks to months
One product, one goal.
Strategy, proof of concept, production. Senior designers and engineers who have shipped this before, working to your timeline.
Ask about a project podBuild the AI product. And the team to run it.
Intelligaia designs and builds AI products, with studios in Cary, NC and Mohali. Kelaca is our talent partner, so the people who will run the product after handover are hired while we build it. You plan it once, with both of us.
- Dedicated design and AI pods
- A GCC in India, set up with you
- Private AI with Yantra
- Hiring support from Kelaca
0+years of product
design and engineering
design and engineering
0+engagements
delivered
delivered
4.7 / 5Based on 9 client reviews
Dedicated pods
A senior pod, ready from week one.
Designers and engineers who have shipped this kind of work before. Use a pod for one product, or keep it on as your AI product team.
Dedicated podLong running
Your AI product team, without building the department.
A long-running pod that owns the roadmap, delivery and adoption with you, and hands over when your own team is ready.
Ask about a dedicated podWho is in a pod
- Product and UX designResearch, service design, UI, design systems
- AI and ML engineeringAgents, RAG, copilots, evals
- Full-stack engineeringAPI-first platforms, React UIs, integrations
- Delivery and QADelivery lead, QA for agentic systems
Global capability centre in India
Growing abroad? Start with a centre in India.
Your own team in India, set up and run from our studio in Mohali, Punjab. The office, the people and the product work, so the centre does real work from the first month.
Build, operate, transfer
We set it up and run it. Then it becomes yours.
The team, the office and the delivery, with a planned handover when you are ready to own it.
Managed centre
Your team in India, run by us.
You set the priorities. We handle the people, the space and the day to day.
Starter pod
Begin small, grow when it works.
A pod in Mohali that does real work from the start and can grow into a full centre.
Talk about a centre in India ↗Design, AI and engineering work next to the team you hire.
Yantra, the private AI platform
Stop renting intelligence. Own it.
A private AI gateway inside your own network. Every request passes through it, runs on the model it needs under your rules, and teaches a model you own.
Inside the tools your teams already use
One gateway. Mail, calendar, drive, Teams, Slack, Meet and slides.
The same rules and the same audit log in every app. An HR team gets a first draft reply to a new joiner, written from approved policy, waiting for a person to send.
Medha, the chat experience
One place to ask.
Employees ask in plain words. Medha answers from your approved sources, cites each one, and hands over to a person when it is not sure.
- Answers only from approved sources
- A source with every answer
- Says when it does not know, and hands over
- Runs through Yantra, under the same rules
Design concept. Medha is being rebuilt now.
Your teamsmedha:latest ⌄+
I joined last week. When do I get my first payslip, and where do I see it?
medha:latest
Salaries are paid on the last working day of the month. Your first payslip appears in the HR portal under Pay, the same day.
- Check: bank details and tax declaration in your profile
- Missing something? Raise a ticket to Payroll from the same page
I can open the profile page for you now.
Source: New joiner handbook, 3.1 PayCan I get an advance on my first salary?
medha:latest
That is not in the documents I can see, so I will not guess. I have passed it to the HR team; they usually reply within one working day.
Handed to a person, HR team
Clarity Capsule, learning
Learning that ends in a skill people use.
AI-led learning for onboarding new hires, staff training and upskilling. One step a day, answers only from the course, and proof it worked. Runs on your own hardware, through Yantra.
Emma's first weekPension services officer. Goal set by her manager Pema: use AI safely at work
AI design and engineering services
Build yours with the team behind these.
From the workflow you frame to the product your team owns. Step off after any stage.
Frame · in weeksAgree the workflow, priorities and path to delivery.
One to three weeks, and the output is yours to keep.
You leave withA clear workflow and delivery direction
→
Prototype · in a quarterPut a working experience in your team's hands.
Eight to twelve weeks. Test it with the people who will use it before a full build.
You leave withA working experience to use and learn from
→
Own · for the work aheadTake ownership of the product and its next chapter.
Three months and more. We stay through rollout and adoption until your team runs it.
You leave withA product your team owns
Talk about your product ↗Experience across enterprise platforms, AI and product systems.
Proof in practice
Done at scale.
Experience across complex systems and the people who use them.
Guided operations for enterprise assets
Scattered asset data and operational decisions.
Asset data and human approval, in one workspace.
Data engineering, AI, workflow automation and experience design.
Read the story : Guided operations for enterprise assets
An enterprise AI/ML data platform
Complex AI and machine-learning infrastructure.
An enterprise data platform built around its users.
Experience design, design system and front-end contribution.
Read the story : An enterprise AI/ML data platform
One intelligence-led sales system
Fragmented seller workflows obscure the next priority.
One decision system surfaces risk and priority.
Research, product design and a shared design system.
Read the story : One intelligence-led sales systemWhat people ask first.
The questions most teams ask before the first call.
How do we start?
Fill the form or write to us. We set up a short call, understand what you want to build, and come back with a team and a plan. Most work starts with a Frame of one to three weeks.
Who runs the work?
A named pod: a designer, an AI engineer, a researcher and a lead. The same people through Frame, Prototype and Own, until your team runs it without us.
Can our own people take over?
Yes, and we plan for it from day one. Handover is part of the work: documentation, training, and time working side by side.
Where does our data go?
With Yantra, through a gateway inside your own setup. If a request goes to an outside AI provider, what they keep depends on that provider and your settings. Yantra lets you decide, and logs every request.
One call.
Then a plan.
Tell us what you want to build. We come back with a team and a plan.