DevTools · Data Platforms · 50–200 · Europe #b018_14

Context

We develop an open-source in-memory graph database for real-time analytics and AI retrieval, with a fully remote engineering team.

Industry

DevTools & Software · Data Platforms

Size

50–200 employees

Region

Europe

Tools budget

$1K–5K per month

Needs

Test automation & QA. Changes to our database internals need extensive regression and performance testing, which is slow to run today.

Today: core database team verifies correctness through engineer-written tests, with open issues tracked publicly · Urgency: this year

Faster CI/CD. Long native builds slow down our remote engineers working across time zones.

Today: remote c++ engineers share build and release checks run mostly by the core team · Urgency: later

Guardrails for AI agents and LLM apps. Customers use our graph for AI retrieval and want controls on what data language models can reach.

Today: grounding answers in a knowledge graph is its stated safeguard against model hallucination · Urgency: this year

Who decides

cto · team trial

Expects from suppliers

Fast native build caching; Remote-friendly tooling; Open-source friendly licensing

Not a fit

On-prem-only build infrastructure

Stack

CI/CD pipeline in place, cloud: AWS-class hyperscaler, LLM APIs in production

Buying triggers

AI adoption push, cost pressure