01
Slow, stale analytics
Your product team waits 20 minutes for a query. Customers can't see their own usage live. Business metrics are a day stale when operators need to act today.
For SaaS companies
The data backbone your product deserves.
SaaS companies generate enormous amounts of data and rarely use it well. We build the pipelines, warehouses, and AI infrastructure that turn your data into a product advantage.
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Live
Ingestion pipeline Healthy
Throughput
1.2M/m
Freshness
480ms-40ms
Quality
99.4%+0.3%
Quality gateslast run 12s ago
Schema contractpassed
Null / range checkspassed
Freshness SLApassed
SaaS data problems we solve
02
Data silos between teams
Product, sales, and customer-success data live in three systems nobody can join. Every cross-functional question turns into a two-week data project.
03
AI on the roadmap, forever
You want to ship AI features but your data isn't structured, accessible, or clean enough to build on. The model is only as good as the data behind it.
How we solve them
Real-time event pipeline
Sub-second streaming from your app to analytics on Kafka or Kinesis. Product metrics that are live, not lagged.
Unified data model
A lakehouse or warehouse that joins product, revenue, and customer data. One query answers cross-functional questions.
Data API layer
Clean internal APIs so your product consumes analytics without direct database access. Decoupled, versioned, performant.
AI and ML infrastructure
Vector stores, embedding pipelines, and model serving for the features your team has been asking for. Built for production.
Ship the data features your product team has been waiting for
- Real-time product analytics for operators and customers
- AI features that ship to production, not just prototypes
- A unified data model that grows with your product
- No proprietary lock-in across any layer of the stack
Every engagement starts with a technical audit of your product data path. No commitment required for the first conversation.
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