The AI-augmented data engineering platform

Multiply your data team’s capacity without multiplying your data engineers.

KESDONE takes the data engineering that surrounds the code: understanding the need, understanding the data and who owns it, building, proving, deploying, operating, and remembering. Your team keeps the decisions.

Build a data product See how it works

The work a data engineer spends days on, per request. Your cloud or ours, whether or not you have a data team.

Build and maintain the data product for your dashboard

Watch KESDONE build it.

Marion asks for churn features for her retention model. The seven moments, from her first sentence to the context shared with her team.

The shift

The code was never the bottleneck.

Ask any data team where the time goes. Not in writing SQL. In understanding what the business actually asked for, finding out who owns which field and what it means here, agreeing on definitions, then maintaining all of it when a source changes. Generating code stopped being the hard part. The context is the hard part, and no assistant of code holds it. KESDONE starts from the request, anchors the meaning, engineers the product, proves it, and keeps it right.

What KESDONE removes

The work between a request and a product that runs.

Not "I need a feature store": "I need three people for six weeks". This is that work, and what happens to it.

Done by hand todayWith KESDONE

Find the right sources and get accessSources connected once, permissions read from them

Understand schemas, documents and what fields meanSources read, field meanings proposed, owners identified

Design the product for the consumerA manifest drafted from the requirement

Write pipelines and transformationsGenerated product code

Write tests, check quality, prove provenanceEvery promise scored before release

Set up infrastructure, secrets, schedulingGenerated, or provided if you have none

Deploy, and expose it the way the consumer reads itDeployed in the consumer's shape

Monitor, notice drift, fix, redeployWatched, diagnosed, fixed as a new version

How it works

Seven moments. One contract.

What you describe at the start is what everything after is measured against.

SpecifyDescribe the product, or hand over your manifest. The contract every later step is checked against. BuildData understood, rules applied, product code and infrastructure generated, provided if you have none. ProveEvery promise scored before release. Critical numbers computed twice and reconciled. DeployLive in the shape the consumer reads, with scheduling and monitoring wired in. ConsumeA finished product with its endpoint, its numbers and its callers, not a pipeline to finish. OperateDrift noticed, cause found, fix shipped as a new validated version. You set the autonomy.

RememberDefinitions, decisions and their reasons kept and versioned, so the next request starts further along.

Watch the seven moments run in the studio

Consumer-aware

One request. Shaped for whatever will consume it.

A dashboard needs one definition per metric, reconciled and fresh. An application needs a stable, permissioned interface. A model needs features computed at the right date. An assistant needs cited passages, an agent needs governed tools. An auditor needs a figure that can be reproduced a year later. The same discipline produces each of them, from the sources that consumer actually needs.

See the five data products How it engineers them, step by step

The new data engineering workflow

What does your data team not have the time to do today?

Give it to KESDONE. Scoping is free, and nothing is built until you approve the plan.

Talk to the team Explore the workflow