Forward deployed AI engineers
R Systems
Two engineers. Production AI. Every output measured.
For close to a year, two Steinn AI forward deployed engineers have worked inside R Systems' AI delivery, building production AI and an evals pipeline for a self-driving car company.
“For close to a year, Steinn Labs has supported R Systems with AI forward deployed engineers who have been a real asset to our AI delivery. Their engineers bring a rare combination of deep technical expertise and practical judgment, working directly alongside our teams and clients to turn AI ideas into reliable, production-ready solutions. Steinn Labs has proven to be a dependable partner, and we look forward to building more together.”
- Partner
- R Systems
- End client
- A self-driving car company
- Team
- 2 Steinn AI forward deployed engineers
- Engagement
- Close to a year, ongoing
- Scope
- Production AI solutions; observability, monitoring and evals pipeline
- Model
- Embedded with R Systems' teams, working directly with the end client
At a glance
The challenge
Autonomous driving leaves no room for AI that only works in the demo.
From idea to production
The client needed AI solutions that hold up in production, not prototypes that stall after the pilot.
You can't trust what you can't measure
Without observability and evals, there's no way to know if the AI is getting better, or quietly getting worse.
Engineers who can face the client
R Systems needed AI engineers who could ramp up fast and work independently in client-facing settings.
What we delivered
A production AI system that can prove it's working.
Production-grade AI solutions
AI capabilities for the client's self-driving platform, engineered to be reliable in production, not just in a demo.
Observability and monitoring
Visibility into how the AI behaves in the real world, so issues surface quickly and nothing fails silently.
An efficient evals pipeline
Systematic evaluation of AI quality, so every change is measured and regressions are caught before release.
What we built
The build.
Production AI solutions for the client's self-driving platform, with observability, monitoring and an evals pipeline built alongside, so every run is traced, quality is scored and regressions are caught before release.
Our approach
If it isn't measured, it isn't production.
Shipping an AI feature is the start, not the finish. In autonomous driving, the real question is whether it keeps working. So the engineers built the observability and evals alongside the AI itself. Every release can be monitored, scored and compared, turning AI quality from a feeling into a number.
Results
AI ideas turned into reliable, production-ready solutions.
Embedded in R Systems' AI delivery.
An ongoing partnership, with more to build together.
Shipped with observability, monitoring and evals built in.
The next step
Building something
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