Data platforms
Data you can run the business on.
Most companies have more data than trust in it. We build the platform underneath: ingestion from every system you use, models that agree on what a customer and an order are, and the analytics and AI layers that read from one source of truth.
Start a project
- Postgres
- ClickHouse
- dbt
- Airflow
- Kafka
- TypeScript
What it includes
- Ingestion from your operational systems, with schema checks so bad data stops at the door
- A warehouse and semantic layer that define each metric once
- Dashboards, reporting and alerting built on the same models
- Access controls and lineage so you can say where any number came from
How it is built
- Idempotent, replayable pipelines with tests on every model
- Incremental processing sized to your volumes, measured before launch
- Retrieval and feature layers ready for the AI work that follows
What you keep
- Pipelines, models and infrastructure as code in your repository
- A data catalogue with owners and freshness per dataset
- Runbooks for backfills, incidents and schema changes
Related
Often built together
- Enterprise AI agents
Agents that read, decide and act inside your systems, with evals, permissions and an audit trail from day one.
- Custom platforms
Multi-tenant platforms built to be operated: auth, billing hooks, admin, observability and documentation included.
- CRM engines
The customer record, pipeline and automation layer underneath your product, with AI scoring and enrichment built in.
Tell us what you need built.
A short brief, a real engineer reading it, and a scoped answer within a few business days.