They quoted six months. You'll have it in three weeks.

CapsuleAI delivers enterprise AI in fixed three-week units. Scope frozen on day zero. Working software on day 21. Full IP transferred to you — no licence, no lock-in, no retained dependency.

3 wksEvery delivery
Day 21Full IP transfer
100%Open-source stack
On-premYour data stays inside
The problem

Your AI budget is approved. Your AI project isn't moving.

Every enterprise innovation team we speak to describes the same three blockers — different logos, identical story.

Decision latency kills ideas

Evaluations that should take three weeks drag on for six to eighteen months. By the time leadership approves, the window has closed.

Internal teams are at capacity

Your best developers are tied up on BAU delivery. Innovation POCs sit on the backlog, quarter after quarter, waiting for a gap that never comes.

Vendors quote six months to scope

Traditional firms add discovery phases and minimum engagement sizes designed to protect billing rates — not to deliver value.

The result: good ideas die in committees. Innovation budgets go unspent. Competitors move faster.

The capsule model

One POD × three weeks = one unit of service

Not a retainer. Not a discovery phase. A single atomic unit of delivery you can buy once, judge on its merits, and repeat only if it earned it.

01

The POD

A mixed team of senior human engineers and AI agents. The ratio adapts to the work — POC, build, data, or integration.

02

Frozen scope

Scope is locked on day zero. Any new requirement becomes the next unit. No mid-sprint renegotiation. No scope creep.

03

Guaranteed delivery

Working software on day 21. Not a status update, not a prototype — a tested, documented increment you own entirely.

Day 0Scope lockedFrozen scope document signed
Day 7CheckpointHuman lead reviews agent output
Day 14IntegrationComponents assembled and tested
Day 21DeliveryWorking software, IP transferred

A six-month programme is ten sequential units — and you can stop, pivot, or continue after any one of them.

Inside the POD

Senior humans. Intelligent agents. One accountable team.

Agents do the volume. People make the calls. Every line that ships has a named engineer behind it — the person you call when it's wrong.

Human team
TL

Tech lead

Architecture decisions, client communication, quality gate at day 7 and day 21.

SD

Senior developer

Complex problem solving, agent output review, domain-specific implementation.

Decades of combined enterprise and startup delivery experience across India and Australia.

AI agent team
RA

Research agent

Domain research, requirements synthesis, spike outputs.

BA

Build agent

Code generation, test writing, API integration.

QA

QA agent

Automated testing, CI/CD integration, performance.

All agent output passes a human review gate. Nothing ships without sign-off.

Demo builds

What one unit actually produces

These are working demo applications built by CapsuleAI to show what a single three-week unit delivers. Each runs live — not slideware, not a mockup. Ask for a screen-share and we'll walk you through the code.

Demo build

PII Anonymisation

Detects and anonymises Indian PII formats — Aadhaar with checksum validation, PAN, IFSC, phone numbers and names. Six anonymisation methods including format-preserving encryption. Ships with a full audit trail for compliance review, and runs entirely inside your network.

For: BFSI and GCC compliance teams
Request a walkthrough →
Demo build

Fraud Detection Dashboard

Machine-learning transaction scoring that produces a 0–100 risk score per transaction, with an analyst review dashboard and explainable model outputs so a human can justify every decision to an auditor.

For: Payments and fintech GCCs
Request a walkthrough →
Demo build

Clinical Pattern Prediction

Automated analysis across patient and device data to surface dialysis treatment patterns and early-warning signals, with clinician-facing summaries rather than raw model output.

For: Healthcare and med-tech GCCs
Request a walkthrough →
Demo build

Churn Prediction + Intervention

Subscription churn scoring paired with recommended retention interventions, ranked by expected impact — so the output is an action list for the retention team, not just a probability.

For: OTT and subscription platforms
Request a walkthrough →
Built for procurement

Designed to pass your legal review

Most AI vendors stall at procurement, not at the demo. We chose the stack with your compliance team in mind.

Entirely open-source

No proprietary licences, no per-seat fees, no black boxes your legal team cannot inspect. Every dependency is auditable.

Runs inside your network

On-premise or your private cloud. Sensitive data never leaves your environment — essential for PII, payments and health records.

Audit-ready by design

Every capsule ships with audit trails, documentation and full source code. Your team reviews everything and owns everything.

PythonFastAPIStreamlit LangGraphscikit-learnMicrosoft Presidio PostgreSQLDocker
Where proprietary tools stall in legal review, open-source capsules walk through it.
Engagement models

You buy units, not months

Every engagement is priced per three-week unit. Start with one. Commit to more only once you have working software in your hands.

Spark

POC accelerator
1–2 units
  • One human tech lead plus AI agents
  • Three-week fixed delivery
  • Working POC and documentation
  • Full IP transfer, day-7 checkpoint
Best for first engagements and technology evaluation.
MOST COMMON

Build

Sequential units
3–8 units
  • Two humans plus AI agents
  • Working increment every three weeks
  • Handoff and documentation each unit
  • Full IP transfer, priority pod
Best for post-POC builds and an ongoing innovation pipeline.

Scale

Dedicated pod
9+ units
  • Flexible human-to-agent ratio
  • Dedicated pod, not shared
  • Weekly sync and checkpoint
  • Full IP transfer, priority pod
Best for six-month-plus programmes and enterprise partnerships.

Unit pricing scales down as you commit to more units. Ask for the rate card — we'll send it before the first call.

A different kind of engagement

When the work isn't a project — it's a person.

Some initiatives don't have a fixed scope to freeze. They need one exceptional engineer, embedded inside your team, who moves fluidly between the business conversation, the design decision, and the commit — without a handoff in between.

A CapsuleAI Forward-Deployed Engineer is not a contractor and not a POD. They're the person who would have been your first AI hire — except you don't have to source, interview, or manage them.

  • Sits inside your team, not alongside it — your tools, your standups, your Slack
  • End-to-end: scopes with the business, designs the solution, writes the code, ships it to production
  • Senior only — every FDE has shipped production AI systems before, not junior augmentation
  • Month-to-month, no minimum term beyond the first 4 weeks
Forward-Deployed Engineer
EngagementMonthly, ongoing
PlacementFull-time embed, on-site or remote
ScopeEvolves with the initiative
OwnershipFull IP transfer, same as every capsule
FDE vs. a POD unit

Choose a POD when you can name the deliverable and the deadline. Choose an FDE when the initiative is still taking shape and you need standing capability, not a bounded output.

Ask about an FDE
Who you're working with

Built by people who have shipped enterprise software for 25 years

[Your Name]

Founder
  • 25 years in enterprise IT delivery
  • Two startup exits
  • PhD candidate, Strategy — IIM Nagpur
  • Bengaluru, India
LinkedIn →

CapsuleAI exists because the delivery model was the problem, not the technology. After two and a half decades inside enterprise IT — and two companies built and sold — the same failure repeated: capable teams, adequate technology, and an engagement structure that made finishing almost impossible.

The three-week unit is the answer to that. It is short enough that scope cannot drift, long enough to produce something real, and small enough that you can walk away after one without having lost a quarter.

The AI agents are what make it economic. The senior humans are what make it safe. Neither works without the other.

CapsuleAI is the trading brand of Green Peas Technologies LLP, registered in Bengaluru, Karnataka.

Let's find your first unit.

We are not asking for a six-month programme. We are asking for thirty minutes and one clearly scoped problem.

01Tell us the POC that has been sitting on your backlog
02We scope it together in thirty minutes
03If we cannot agree a scope, there is no charge
04If we can, you have working software in three weeks