Foundation
Humans execute. Agents assist.
1,500 hours a month
2 people and 3 agents
We are Purpose Driven Innovation.
Where thinking thrives to build, evaluate, deploy and learn.
Lab360 is how we do it: seventeen labs in four families on one platform, where human intelligence leads and AI agents execute.
Why Deeplabs exists
Build intelligence that helps people, and grow the people who build it.
Our purpose is to build purpose-driven intelligence that helps people, businesses and communities solve meaningful problems. Profit funds the mission. It is not the mission.
Purpose+Right learning+Disciplined execution=Lasting impact
CustomersReal problems solved, measured against the success measure agreed before the first sprint.
BusinessSustainable revenue that keeps Deeplabs independent and every lab funded.
SocietyHuman-centred AI, and DeepSchool growing the next generation of builders.
The planetLow-power AI today, renewable-energy research on the road ahead.
What DEEP means
Four traits. Without all four, it isn’t Deeplabs.
Every person we hire and every product we ship is held to the same four letters. Choose one to see what it asks of us.
In delivery, DEEP becomes DEEP TEAM. One team, one purpose, with humans leading and AI agents executing.
- TTransformation
- Continuous modernisation and improvement.
- EExecution
- Fast and measurable delivery.
- AAutomation
- Human and AI agent collaboration.
- MMeasurement
- Benchmarks, KPI visibility and Governance360.
The bigger picture
Lab360 keeps growing. Traditional teams can only add headcount.
A traditional team adds people to add capacity, so cost grows in a straight line. A DEEP TEAM lab keeps the same two people in charge and adds AI agents, so capacity grows faster than cost.
Advanced
Humans govern. Agents automate.
2,000 hours a month
2 people and 4 agents
Elite
Humans set strategy. Agents scale operations.
2,500 hours a month
2 people and 7 agents
Person, governing the workAI agent, executingService360 capacity per lab
- TodaySeventeen labs in four families. DeepScrum runs our own delivery, and every lab works to the same DEEP TEAM principles.
- NextThe team grows from 6 to between 12 and 24. Each new lab trains its own interns and contract staff while it delivers.
- 2027Physical AI and renewable-energy research join Lab360, alongside the client platforms that fund them.
Every quarter a team waits, the gap to AI-native teams gets wider. Lab360 is open for the problems worth solving now.
Labs creating success
The labs already doing the work.
From DeepScrum, which runs our own delivery, to the Business labs that keep clients’ revenue, customers and governance in view.
Lab in focus
DeepScrum
Delivery, made visible. Every commitment has an owner, a date and a live status, with stand-ups, scoreboards and wins in one place. It runs our own delivery today, and clients in the Lab Model see the same board we do.
See DeepScrum in Labs 360One rhythm in every lab
Build, evaluate, deploy, learn. Then again.
Every line in this field is a piece of work moving from idea to production. What we do at each stage is written down, so nothing ships on hope.
What we do
AI that ships, and keeps working.
Four practice areas around one AI-first centre. Most AI projects stall between a promising demo and a system people trust. Ours are designed to close that gap.
The AI-first 2×2 model
Choose a practice area.
Clients start with one area and grow into all four. Each runs through build, evaluate, deploy and learn.
Where we go deep
Industries that pass our Purpose Test.
A real human or business need, something that makes us smarter, sustainable for five years, and work we would be proud to show.
HealthcareClinical AI that supports care teams, from radiology pipelines to patient assistants.
Enterprise operationsAgents that take the repetitive load out of finance, HR and support.
Public sectorResponsible AI with the audit trails public bodies need.
EducationLearning platforms shaped by what we learn running DeepSchool.
Startups and foundersFrom idea to an evaluated AI product in weeks.
Energy and sustainabilityEarth intelligence and renewable research from 2027.
ManufacturingPhysical AI and intelligent simulation for real-world operations.
Your fieldBring us the problem. We’ll tell you honestly if AI is the answer.
On our 2026 radar
The shifts we are building for.
Domain models over general LLMsModels that know your field.
Use-case optimisation for agentsThe few workflows that pay off first.
AI-disaggregated applicationsApps rebuilt as composable agents.
Physical AIIntelligence that acts in the world.
Intelligent simulationTest decisions in a digital twin.
Hyper-synthetic dataSafe data where real data is scarce.
Low-power AILower cost and carbon at the edge.
Authenticity platformsProvenance for content and identity.
Labs 360
Every product, one orbit.
The inner ring is Deeplabs Presents, the products we build to create or replace a space. The outer ring is Fuelling Deeplabs, the client work that keeps our mission independent.
Deeplabs PresentsFuelling Deeplabs
The four arms
How the labs fit together.
Each arm serves the same purpose: build intelligence that helps people, and grow the people who build it.
DeepSchoolGrows people and founders with purpose, through learning paths, public sessions and university partnerships.
Deeplabs PresentsBuilds products that create or replace a space: DeepScrum, DeepCloud, DeepWiki, DeepHealth and Physical AI.
Fuelling DeeplabsEarns the revenue that keeps the mission independent: Trillium, Service 360, Integration Technology & Exchange.
Building DeeplabsBuilds the capability to endure: the Lab Model, SOPs and SOWs, and GCC-level readiness.
How we work
Humans lead. AI agents execute.
Governance lives in the stack, not in a review board. Here is exactly how a piece of work moves from idea to production.
From idea to production
Five steps, every release.
Select a step to see what happens and what you get at the end of it.
The agent-first operating model
People, process and technology, in balance.
No tool fixes a people or process gap. We name who builds, how it ships and what enforces it before the first sprint.
People
Who builds
- Platform engineersInfrastructure, governance, patterns
- Agent engineersDomain agents, evaluation thresholds
- SMEs and operatorsPrompts, ground truth, feedback
Process
How it ships
- BuildPrompts, tools, orchestration
- TestDatasets, evals
- DeployCanary, human in the loop
- MonitorTraces, feedback
- Iterate and governFix loop, guardrails
Technology
What enforces it
- Build frameworkFor example LangChain, LangGraph
- Traces and evalsFor example LangSmith
- Agent runtimeGoverned deployment
- LLM and tool gatewayLeast-privilege access
- Trace data layerEvery action recorded
Governance, security, FinOps, compliance and interoperability are enforced in the stack.
Engagement models
Ways to build with us.
We recommend a model after a first conversation. All three share the same rhythm and the same guardrails.
In every engagement
What never changes.
Purpose firstSuccess measures agreed before building.
Evals before launchThresholds set with your experts.
Visible commitmentsOwner, date and status in DeepScrum.
Weekly demosWorking software, not slides.
Human in the loopWherever decisions matter.
Risks raised earlyIn writing, never buried.
Your data stays yoursIn environments you approve.
Built to lastSustainable for at least five years.
Life @ Deeplabs
Purpose built by people. People built by purpose.
Stillness before action. Ownership over instruction. A team that knows why the work matters, and shows up for each other.
Your first 90 days
Success is designed, not assumed.
We learned this the hard way. Joiners used to start without a clear goal. Now every member knows what great looks like from the first morning.
Day 1Your role card, responsibilities, benchmarks and first KPIs, agreed and signed. You sign the Foundation Pledge.
Day 30First commitments shipped and visible on DeepScrum. Your DeepSchool learning path is set.
Day 60Owning outcomes inside your lab. Training tracked against clear success points.
Day 90Your first DEEP review cycle complete, with peer recognition and a plan for the next quarter.
The habits we share
How we show up.
Stillness before actionA few minutes of meditation before the day and before big decisions.
Ownership over instructionAct within purpose without waiting to be told.
Compound our intelligenceCapture every lesson so the next person starts further ahead.
Raise risks earlyAn honest early warning beats a perfect late report.
Calm, respectful, directDisagree on ideas, never on people.
Wins in publicSuccess celebrated on the scoreboard, not saved for a review.
Where you can grow
Every layer grows the next.
The best interns grow into the Deep Team. Deep Team members grow into the Executive Team. No layer depends on one person.
CommunityPartners, mentors, universities, founders
Contract and internA 1–2 year runway, learning while delivering
Deep Team2×2 labs of engineers and SMEs with AI agents
Executive TeamHeads of Products, Fuel and DeepSchool
Founding TeamCustodians of purpose and the Foundation Pillars
Inside the studio
Foundation Day, DeepSchool and ordinary Tuesdays.
Placeholders for real team photos.
Foundation Day 2026
DeepSchool session
Morning stillness
Lab demo day
Wins wall
Open roles in Ahmedabad
Find your place in a DEEP TEAM.
Example openings. Final titles and experience ranges to be confirmed.