Services

What we build, and how we build it.

Six core services and the engineering practices behind them. We deliberately keep the list short — these are the systems we build well, for businesses across India.

Core services

The work we lead with

Most engagements start with one of these. They share the same foundations — grounded in your data, bounded by clear limits, and measured before release.

Engineering capabilities

The practices behind every engagement

These are not separate services you buy. They are how the work above gets built, and they are included.

Private & on-premise deployment
LLM integration (Anthropic, OpenAI, Google, open-weight)
Fine-tuning & domain adaptation
Evaluation harnesses & regression testing
Vector databases & hybrid search
API design & system integration
Cloud deployment (AWS, Azure, GCP)
Containerisation & CI/CD
Observability & tracing
Access control & audit logging
Human-in-the-loop review flows
Prompt & context engineering

Evaluation-driven

Every build ships with an evaluation suite, so quality is measured rather than asserted.

Deployed your way

Your cloud account, VPC or on-premise — including open-weight models where data cannot leave.

Source-code handover

You receive the code and the documentation. No lock-in to us to keep it running.

Human in the loop

Approval gates and review queues wherever an automated mistake would be costly.

Delivery model

Five stages, from question to working system

Short cycles, working software you can see, and a handover that leaves your team able to run it.

01

Discover

We map the business problem, check technical feasibility and agree what success would actually look like.

02

Design

Reference architecture, data flows, access rules and an evaluation plan — agreed before code is written.

03

Build

Short, eval-driven cycles. You see working software regularly rather than a status report.

04

Deploy

Ship to your cloud, VPC or on-premise, with monitoring and a rollback path in place.

05

Handover

Documentation, source code and a walkthrough — so your team can run and extend the system.

Not sure which of these fits your problem?

Describe the problem rather than the technology. We will tell you which of these fits — or that none of them do, if that is the honest answer.

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