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DevTools · AI & ML · 50–200 · Europe #b020_20

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Context

We build document search and extraction software powered by our own language models, deployed privately for public bodies and regulated companies.

Industry: DevTools & Software · AI & ML
Size: 50–200 employees
Region: Europe
Tools budget: $1K–5K per month
Needs: Privacy & data protection (GDPR/HIPAA). Public-sector and regulated buyers require proof that their documents never leave controlled, locally hosted infrastructure.
Technical hiring. We compete with far larger labs for machine learning talent on training, inference and retrieval.
Cloud cost optimization. Training and serving our own models is a major cost line we need to track and trim.
Expects from suppliers: Deployable on premises or in sovereign clouds; Documentation in French and English; Public procurement friendly contracting; Cost visibility per workload
Not a fit: Services hosted only by non-European providers; Tools requiring permanent internet access from customer sites; Large minimum commitments
Stack: on-prem / private cloud, Kubernetes, LLM APIs in production, CI/CD pipeline in place
Buying triggers: cost pressure, regulatory change

Needs

NEEDDevTools · AI & ML · 50–200 · Europe #b020_20Simulated· DevOps

We train and serve our own language models, and compute is one of our biggest cost lines. Today we struggle to see spend per workload, so trimming it is guesswork. A good solution must show cost per workload, run on premises or in sovereign clouds, work without permanent internet access, avoid large minimum commitments, and fit a small monthly budget.

Budget: $1K–5KTrigger: cost pressureStack: on-prem / private cloud

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