Services

One studio, four ways to engage.

Choose the entry point that matches your situation: build a new AI capability, understand an existing system, fix the highest-value problems, or take working AI into production. The same engineering discipline runs through all four.

Sequence

Start with the problem you have today. We scope the smallest workstream that can produce a measurable outcome.

See clearlyFounding assessments open

AI Audit / Assessment

Find the problem before fixing it.

We review an existing AI system across accuracy, retrieval, grounding, agent reliability, security, cost, latency, and observability. You receive a clear scorecard, failure map, and prioritized plan for what to do next.

curiousdevs services · audit

Illustrative preview

Dimensions

REVIEWED

Test set

RANKED

Risks

CLEAR

Next step

Entry

Existing AI system

Output

Score + report

Proof

Failure evidence

Illustrative workspace, not live client data — AI Audit / Assessment engagements are currently open.

AI Production Score across eight practical dimensions
RAG retrieval, grounding, and answer-quality review
Agent workflow, tool-use, edge-case, and regression review
Prompt-injection, data leakage, access, and guardrails review
Latency, model usage, token cost, and infrastructure review
Written findings, priority order, and a decision-ready next step

Discuss AI Audit / Assessment

Delivery execution graph

One delivery system, from problem to proof.

Every engagement follows the same evidence-based path. The work may be Build, Fix, or Scale, but the baseline, evaluation, and handover discipline stays consistent.

Engineering capabilities

Full lifecycle AI engineering.

We make quality measurable through test sets, retrieval analysis, edge cases, regression suites, and comparable before-and-after evidence.

Chunking, metadata, hybrid retrieval, reranking, and vector tuning
Accuracy, grounding, hallucination, latency, and cost analysis
Agent trajectory tests, QA automation, and regression checks

Evaluation Summary

accuracybaseline

retrievalmeasured

edge casesqueued

regressiontracked

Have an AI idea? Build it. Have an AI system? Improve it.

Tell us what you are trying to build or what is going wrong with the AI you already have. We will help define the right service and next step.

Questions

The things people ask first

Short answers on what we build, what we fix, how we measure improvement, and how founding engagements work.

We build AI-native products and make existing AI systems reliable, secure, measurable, and production-ready. Our work covers Build, Fix, and Scale engagements.