About

A data engineering and AI company, founded in Hyderabad in 2026.

We exist because AI projects keep failing for data reasons: missing pipelines, untrusted numbers, no governance. We build the data foundation first, then the AI that runs on it.

Our story

Named after the data lake.

The name comes from the data lake: the place where an organisation’s data lands before it becomes useful. In the AI era that foundation matters more than ever, because every model, assistant and agent is only as reliable as the data underneath it.

We are a young company. We have no client logos to show yet, and we will not invent any. What we can show is how we work: our Labs experiments, our engineering notes, the standards on our service pages, and the credentials below.

The engineers in your discovery call are the engineers who design and build your system.

What we believe

Three rules we work by.

01

Data before models

An AI system is only data it reads. We fix ingestion, quality and access before we put a model on top.

02

Tested or it doesn't exist

Pipelines and AI features run in CI before they run in production, with tests, evaluation sets and infrastructure.

03

Handover is the deliverable

Success is your team running the platform without us. Runbooks, decision records and documentation are part of every scope.

Credentials

Certifications and registrations.

We do not currently hold a partnership with any technology vendor, and we do not claim one.

Certification
AWS Certified Solutions Architect – Associate
Amazon Web Services
Certification
Generative AI professional certification (early adopter)
Generative AI
Registration
Startup India
DPIIT recognition: certificate number in progress
Registration
MSME
Udyam registration: number in progress

Sound like the right partner?

Bring us a data or AI problem. The first conversation is with an engineer who builds, not a salesperson.