AI Engineering

Rapid PoC

From idea to production-ready prototype in 3–4 weeks, using your real data and infrastructure — before you commit to full scale.

LLM / ML Fast delivery AI Pilot AWS / GCP / Azure
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3–4 weeks
From kickoff to measurable business impact
3
Structured phases with clear deliverables
2–3
Hypotheses validated per PoC
0
Long-term commitment required

How it works

Rapid prototype creation Agile development cycles Continuous stakeholder feedback Iterative refinement
Phase I 3–5 days

Technical Discovery

  • Use case requirements analysis
  • Infrastructure & platform evaluation
  • Foundation model selection & testing
  • Architecture blueprint development
Phase II 8–10 days

Rapid Prototyping

  • Working prototype development
  • Multi-model integration & testing
  • Custom prompt engineering
  • Performance optimization & tuning
Phase III 2–3 days

Production Readiness

  • Production environment setup
  • Security implementation
  • Performance benchmarking
  • Deployment documentation

What you get

Deliverables

⚡

Working prototype

A functional system running on your infrastructure, not a demo environment.

📐

Architecture blueprint

Full technical design ready for production engineering handoff.

📊

Performance benchmarks

Latency, accuracy, and throughput data to inform go/no-go decisions.

📄

Deployment documentation

Security setup, environment config, and runbook for your team.

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