AI engineers who ship LLM features you can trace, trust and audit

Embedded AI engineers who build LLM applications and agents, then instrument them end to end — so you know what your AI did, why it did it and what it cost.

AI Observability

Your AI is in production. Can you see what it's doing?

Agents are calling tools, retrieving documents and making decisions inside real workflows. When an answer is wrong, a cost spikes or a regulator asks for evidence, most teams can’t reconstruct what happened. Traditional monitoring tells you a service is up. It doesn’t tell you whether your model gave a good answer.

AI Deliverables

LLM and agent development. Retrieval-augmented generation (RAG), tool-using agents and AI features built into your existing product and platform.
End-to-end AI tracing. Capture prompts, retrieval steps, tool calls, tokens, latency and errors with OpenTelemetry-compatible instrumentation.
Quality evaluation in production. Automated evaluations and human review loops that catch bad answers before customers do.
Cost and latency control. Attribute token spend by feature, team and customer; find the slow or expensive steps.
Governance and audit trails. Record model and prompt versions, inputs, outputs and human approvals, ready for your AI risk review.
AIOps for your operations team. Apply machine learning to alert correlation and incident triage so your SREs spend less time sorting noise.

AI Compliance

Enterprise buyers now review AI vendors with detailed governance questionnaires. Our engineers design for that from the start: data handling, access controls, explainability and evidence of human oversight. We work inside your approved tools and policies, not around them.

AI Engineering FAQ

What's the difference between AI observability and regular monitoring?

Monitoring tells you whether a service is up and fast. AI observability tells you whether the model’s output was correct, safe and worth what it cost, step by step.

Can you work with the models and platforms we already use?

Yes. Regardless of wehther you are using OpenAI, Anthropic, Azure OpenAI, or AWS Bedrock, we can help.

Do you only build, or also run AI in production?

Both. Most engagements cover building the feature and making it observable and reliable once it’s live.

Put AI in production without flying blind

Get AI features working with peace of mind. We’ll reply within one business day with a plan to move you forward.

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