From 'we should look into AI' to production-ready in 30 days.
A focused sprint to choose the right model, design the right architecture, and ship a working prototype — before you burn 5 months on the wrong stack.
Shipped in 45 days · Multi-LLM expertise · Working prototype, not slides
For teams shipping AI in production.
The Problem
Most AI projects stall in evaluation hell — too many models, too many opinions.
The wrong architecture in week 1 = a rewrite in month 5.
Off-the-shelf consultants ship decks. You need shipped code.
45
days to production
60%
cost reduction vs. naive implementation
10+
architectures evaluated per engagement
How It Works
Feasibility + use-case scoring (week 1)
What's actually worth building.
Model + architecture selection (weeks 2–3)
GPT, Claude, open-source, hybrid — chosen on cost, latency, accuracy, privacy fit.
Prototype + roadmap (week 4)
Working prototype on your data, plus a 60-day implementation plan your team can execute.
We've evaluated 15+ LLMs so you don't have to.
“Shipped AI search in 45 days. Had been stuck for 5 months.”
— VP Product, Series C
AI feature shipped in 45 days — previously stuck 5 months
Working prototype against real production data by day 28.
“[Testimonial coming soon — client feedback in progress]
Pricing
AI Strategy Sprint
Scoped to use case complexity
- Feasibility scoring
- Model evaluation
- Architecture design
- Working prototype
- 60-day implementation roadmap