For startups
Built right, from the start.
Most startups underbuild their data infrastructure, then spend two years paying for it. We help you get it right the first time, without the overhead of a full-time data team.
Start a projectThe problem with startup data
We see the same three failure modes across early-stage companies, regardless of industry.
01
Underbuild now, rebuild later
CSV exports and manual SQL feel fine at Series A. By Series B, when investors want real-time metrics and your product needs a data layer, the rebuild costs more than doing it right once.
02
Can't hire a full data team
A senior data engineer runs $200-300k a year and takes months to hire. Your needs aren't consistent enough yet to justify the headcount. You need the expertise without the overhead.
03
Vendor lock-in at scale
No-code data tools are fast to start and expensive to leave. Lock-in that feels harmless at $10k ARR becomes punishing at $10M ARR, right when switching is hardest.
The math on underbuilding
A quick data stack is cheap until the day it isn't. The rewrite lands right when you can least afford it: mid-raise, mid-scale, with the whole team blocked on it.
Building on solid foundations costs a little more up front and stays flat and predictable as you grow. No cliff, no rewrite, no lost quarter.
What we build for startups
01
Data foundation audit
We assess your current state and design an architecture that scales to 100x your volume without a rebuild.
02
Pipeline architecture
Event streaming, warehouse setup, and transformation layers your team can understand, extend, and own.
03
Analytics infrastructure
Real-time dashboards and metrics operators and investors actually use, not vanity BI nobody opens.
04
AI-ready data layer
Vector stores, embedding pipelines, and feature stores ready for the AI features on your roadmap.
01 / 04
Data foundation audit
We assess your current state and design an architecture that scales to 100x your volume without a rebuild.
01
Data foundation audit
We assess your current state and design an architecture that scales to 100x your volume without a rebuild.
02
Pipeline architecture
Event streaming, warehouse setup, and transformation layers your team can understand, extend, and own.
03
Analytics infrastructure
Real-time dashboards and metrics operators and investors actually use, not vanity BI nobody opens.
04
AI-ready data layer
Vector stores, embedding pipelines, and feature stores ready for the AI features on your roadmap.
What you leave with
Every startup engagement ends with full ownership transfer. You run it. We stay available if you need us.
- Architecture your team understands and can extend without calling us
- Full documentation and runbooks, written for your engineers
- A system built to scale without a rebuild at Series B or beyond
- Zero proprietary lock-in on any layer of the stack
- 30-day post-launch hardening included in every engagement