For SaaS and data product companies. We build the pipelines, models and AI features your customers pay for, and keep them fast, fresh and safe.
Most data teams spend more time keeping things running than building what customers pay for. We flip that.
Cost figures are illustrative, not woodfrog results, unless linked to a case.
Upstream teams change a field and nothing warns you. The first alert is a customer ticket.
Customer views run on raw tables. Every new customer adds load and cost.
Customers ask for numbers you have but cannot show safely. Each request becomes a one-off export.
An AI demo is easy. A feature that is accurate, safe and cheap to run is not.
Access rules, retention and audit trails are added late. Enterprise buyers ask for them first.
Trading · StockJarvis
Trading platform
Fintech · Series CBuilt in your cloud and your repositories. Your team can change it without us.
A small team from Pune, India. The people who scope your problem are the people who build it.
Meet the team →Measured on your own numbers: freshness, latency, cloud cost and feature adoption.
Yes. We build in your cloud and your repositories, with pull requests your engineers review, so your team owns everything we write. We agree how we work with your engineers at the start.
We work with what you already run where it fits: Kafka, Airflow, dbt and Spark for pipelines, and Snowflake, BigQuery, Databricks or Postgres for storage. We recommend changes only when something in the current stack is the cause of the problem.
We build the technical controls those audits look at: access rules by tenant, PII masking, retention and audit logs. We do not certify you ourselves; that is done by your auditor, and we make the data side ready for them.
Yes. We build agents on Claude that work from your structured data, test them with evaluations before each release, and trace every answer to its source so you can explain it to a customer.
It depends on where you start. The first audit finds the pipelines, queries or features that cost you the most, and sets the order of work. We measure results on your own numbers, such as freshness, latency and cloud cost.
