We embed AI engineers inside your team — and ship production systems in weeks, not quarters.
Alpha Proxima places senior engineers directly into your workflows to design, build, and ship AI systems that actually reach production. No decks. No 6-month roadmaps. Working software, fast.
$ ap ship --pilot logistics-router
→ mapping stack ................. ok
→ embedding engineers ........... 2 senior
→ building RAG pipeline ......... done
→ evaluating (n=1240) ........... 94.2% acc
→ deploying to prod ............. live
✔ pilot promoted to production in 21 daysBuilt by engineers with backgrounds in ML research & systems engineering
The problem
Most AI pilots never make it to production.
Teams spend months on strategy decks and proofs of concept that stall before they touch a real workflow. The gap isn't ambition — it's the hands-on engineering needed to take AI from demo to dependable.
That's the gap we close.
What we do
Forward-deployed engineering, not slideware.
Forward-Deployed Engineering
We place senior engineers inside your team to build and ship — integrated with your stack, your data, your workflows, not a separate vendor track.
Custom Model Development
Fine-tuning, evaluation frameworks, and RAG pipelines built for your specific domain and data — not generic wrappers around a foundation model.
Agentic Systems
We design and deploy autonomous and semi-autonomous agents for real operational workflows, with the guardrails and monitoring production systems require.
AI Strategy & Audit
A scoped, time-boxed engagement that ends with a concrete build plan — not a 40-slide deck that sits unread.
Proof
Recent work
Series B logistics platform
- Problem
- Manual dispatch routing bottlenecked ops during peak hours.
- What we built
- Embedded engineers shipped an agentic routing system integrated with their dispatch stack.
Result
38% faster dispatch decisions
Fintech compliance team
- Problem
- Analysts drowning in unstructured KYC documents.
- What we built
- Domain-tuned RAG pipeline with evaluation harness and human-in-the-loop review.
Result
6× throughput per analyst
Healthcare SaaS
- Problem
- Legacy support workflow with 4-hour first response times.
- What we built
- Production agent framework with guardrails, observability, and escalation paths.
Result
72% reduction in response time
How we work
Three phases. One team, working alongside yours.
Scope
Week 1We map your systems, data, and constraints, and agree on a concrete pilot with a clear success metric.
Build
Weeks 2–4Our engineers embed with your team and ship a working system — not a prototype that dies in a repo.
Scale
OngoingWe iterate alongside your team, monitor performance, and expand scope as results prove out.
Team snapshot
The people behind the work.
Daniel Egbo
Chief Executive
Godwin Mba
Co-founder & Infrastructure Engineer
See if we're a fit.
20 minutes. No pitch deck — just an honest conversation about what you're trying to build and whether we're the right team for it.
Book a call