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Giilab

How we work

From first call to working system.

Every project follows the same path: understand the problem, prove the approach on your own data, then build it properly. You can stop after any stage, and every stage gives you something you can evaluate.

Ways to work with us

Start small, scale on evidence.

Free, 30 minutes

Discovery call

Tell us the problem. We give you an honest view of whether AI, automation or plain software is the right fix, and what it would take.

Weeks, not months

Proof of concept

A short build tested on your real cases, measured against a target agreed up front. It ends in a clear go or no-go.

Built to last

Production build

The proven approach built properly: tests, monitoring, guardrails and the integrations that make it part of your systems.

Your choice

Support or handover

A supervised rollout, then a clean handover to your team or ongoing support from us.

Already have an engineering team? We also run architecture reviews and build-versus-buy assessments.

Our process

From discovery to production.

You are never more than one stage away from stopping, and every stage produces something you can evaluate.

01

Discover

We map the workflow, the data and the limits. Then we agree what a good result looks like, as a number rather than a feeling.

02

Prove

A short build against your real cases, measured on that number. It ends in a clear go or no-go, with the evidence attached.

03

Build

The proven approach built properly: tests, observability, guardrails and the integration work that makes it part of your stack.

04

Run

A supervised rollout, with monitoring and human escalation in place. Then a clean handover to your team, or ongoing support from us.

What you need to start

  • The problem you want solved, and what a good result looks like.
  • A handful of real example cases or sample data to test against.
  • One person on your side who knows the process and can answer questions.

No technical specification needed. We help define it.

How we measure success

  • We agree how success will be measured before we build.
  • We test on your real cases, not on a demo.
  • We report the result against that measure, including when it falls short.
  • If we cannot back a claim with evidence, we leave it out.

Confidentiality

We sign NDAs before reviewing sensitive information. Client work is shared only with the client’s permission, and access to your data is limited to the people who need it.

Technology we use

The stack we build on.

We choose the simplest technology that delivers the result. These are the tools we reach for most, along with the retrieval (RAG) and agent patterns we build on them.

AI models, agents & automation

  • Claude
  • GPT
  • Gemini
  • Vertex AI
  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI
  • n8n
  • LiteLLM
  • agentgateway
  • LangSmith
  • Langfuse

Languages, frameworks & APIs

  • Python
  • TypeScript
  • Node.js
  • Go
  • Rust
  • FastAPI
  • Django
  • Flask
  • Express.js
  • React
  • Next.js
  • Astro
  • Angular
  • REST APIs
  • GraphQL
  • gRPC

Databases & vector stores

  • PostgreSQL
  • MySQL
  • MongoDB
  • Neo4j
  • FalkorDB
  • pgvector
  • ChromaDB
  • Pinecone
  • Qdrant
  • Weaviate

Cloud

  • AWS
  • Google Cloud
  • Azure

Next step

Ready to take the first step?

Tell us about the problem. The first 30-minute conversation is free and carries no obligation.

Or email us at hello@giilab.in