Gen Alpha AI advisory is for teams that need a decision, not a deck. You bring the question — inference engine selection, eval stack design, build-vs-buy economics, compliance gaps — and we bring the research method and the engineering judgment that drives the publication.
How it works
- Scoping call. A short call to define the question, the constraints, and what a good outcome looks like. No charge for this.
- Working session. A focused engagement (typically 1–2 sessions plus written analysis) against your real system and data.
- Written findings. You get a prioritized, written set of decisions and next steps your team can execute.
Offerings
Architecture review
A focused review of your inference stack, agent harness, or RAG architecture. We work from your constraints and your real traffic, then hand you a prioritized, written set of decisions.
- Inference engine + serving choices (vLLM, SGLang, custom)
- Agent harness + eval stack design
- Build-vs-buy-vs-lease cost analysis
- Written findings + prioritized recommendations
Custom evaluation design
Design an LLM-as-judge + human review eval program that catches drift, hallucination, and regression before users do. Built around your tasks, not a generic benchmark.
- Task-specific eval rubrics
- LLM-as-judge setup with human review gap closure
- Drift monitoring patterns
- Handoff doc your team can run
Compliance walkthrough (EU AI Act / GPAI)
A practical engineering walkthrough of where your system sits under the EU AI Act and GPAI transparency rules, and the concrete gaps to close before a deadline.
- GPAI provider vs deployer scoping
- Transparency + documentation gaps
- Engineering audit checklist
- Prioritized remediation plan
Start with a scoping call
Tell us the decision you are stuck on and the constraints (budget, timeline, stack). If we are not the right fit, we will say so and point you somewhere better. Email hello [at] genalphai [dot] com.
Request a scoping call →Advisory is scoped per engagement and priced on request. We take on a limited number of engagements at a time so the work stays focused.