What ai engineering services actually means
Once you have models that work, you need the engineering around them — versioning, evaluation, serving, monitoring, cost control, and a way to roll back when something breaks. Ai engineering services is the practice of building that platform so your data scientists don't spend their time on plumbing.
What we build
- Feature stores and data pipelines.
- Model serving infrastructure with autoscaling and cost optimisation.
- Evaluation harnesses — offline, online, A/B, shadow.
- LLM-specific tooling — prompt versioning, eval, guardrails, observability.
- On-call playbooks and SRE practices for AI systems.