Clear pricing for AI in production without surprises
We don't help you try AI. We help software companies decide what to build, how to build it, and what it will really cost in production.
Where are you now?
1. We have an AI idea or feature
You need to know if it's worth building.
Recommended entry: Express Diagnosis2. We're already using AI, but not confident
Costs, reliability, or scalability start to hurt.
Recommended entry: AI in Production Audit3. We want to launch or scale a feature
Validate with real numbers before burning money.
Recommended entry: Prototype SprintSingle entry point
Express AI-in-Production Diagnosis. Fixed price and a clear answer in 48h.
Express AI-in-Production Diagnosis
90 minFor SaaS teams with AI on the roadmap or early production. Clarity, not theory.
750€
Outcome (within 48h):
- • 1 real risk you should avoid
- • 1 key reliability metric
- • 1 clear cost-reduction lever
- • Next-step recommendation (yes or no)
AI in Production Audits
Avoid cost and reliability surprises before scaling.
AI in Production Audit - Standard
1 week3.500€
Deliverables:
- • Recommended architecture
- • Technical and data risks
- • Production cost estimate
- • Executive report (8-12 pages)
- • Clear decision: scale / don't scale / how
AI in Production Audit - Pro
2 weeks6.000€
Deliverables:
- • Reliability evals design
- • Observability plan
- • Costs by growth scenario
- • Basic threat model
- • Prioritized technical roadmap
Prototype Sprints (fixed price)
Validate with real numbers before committing to production spend.
Sprint S
10 days4.500€
- • 1 critical flow
- • 1 real dataset
- • 1 success metric
- • Internal demo
- • Estimated cost per user
Sprint M
2 weeks7.500€
- • 2 flows
- • Basic evaluation
- • Minimal logging / tracing
- • Technical README
- • Cost per scenario
Sprint L
2-3 weeks11.000€
- • 3 flows
- • Automatic evals
- • Guardrails
- • Testing with real users
- • Clear production plan
Let's talk about your use case
Tell us your context and we'll tell you:
Let's talk about your use case
Tell us your context and we'll tell you:
- • 1 real risk you should avoid
- • 1 key reliability metric
- • 1 clear cost reduction lever
