braket labs
Data foundations · ai systems

foundations, and what you build on them

We are technology consultants. We set up the data infrastructure a company actually runs on, then build the applications and AI systems that stand on top of it. Two acts, one surface.

two acts

Act i

the ground you stand on

Warehouses, pipelines, lineage, governance, access. The unglamorous layer that decides whether anything above it can be trusted — and the one most teams postpone until it hurts.

  • platform architecture & migration
  • ingestion & transformation pipelines
  • semantic models & contracts
  • governance, lineage, cost control
Act ii

the thing people use

Applications, agents and decision systems built for the AI era — with evaluation, observability and a deployment story. Shipped into production, not into a slide.

  • product & application engineering
  • retrieval & agent architectures
  • evaluation harnesses & guardrails
  • internal tooling & enablement

how an engagement runs

01
read the terrain

Two weeks inside your data and your delivery process. We map what exists before proposing anything.

02
pour the foundation

The smallest platform that makes the first real use case possible — in your cloud, with your team watching.

03
build the thing

The application or agent that justifies the platform, with evaluation from the first commit.

04
hand over the keys

Documentation, runbooks and pairing until your engineers would rather we left. Then we leave.

we're cooking a few experiments

Client work under NDA, a few internal tools, and one benchmark we're not ready to defend yet. We'll be back with more news — leave an address if you want it first.