Internal AI projects drag on while competitors ship faster
First-time implementation means costly mistakes
Your engineers should build product, not research AI
Define scope, choose models, set metrics
Build, integrate, test
Deploy, monitor, optimize
Average delivery
Vector embeddings, semantic search, RAG. Help users find what they need.
Writing assistants, generation, summaries. Create at scale.
Chatbots, support automation. Automate 60% of conversations.
Process PDFs, extract data, classify. Turn docs into structured data.
Free, 45 min - We audit your product and recommend approach
$8K-25K, 2-4 weeks - Fixed-scope AI feature development
Production-ready code, docs, handoff
1 simple feature, 2 weeks, GPT-3.5, basic integration
1-2 complex features, 3 weeks, GPT-4/Claude, full integration, 30-day support
Multiple features, 4-8 weeks, custom architecture, team training
"Delivered our AI search in 3 weeks vs our 6-month estimate. Quality exceeded expectations."
"Deep expertise, moved fast, production-ready code with great docs."
"Clear communication, predictable timeline, actual working software."
After building AI features for startups and enterprises, I saw the pattern: smart teams waiting months for AI their customers wanted yesterday. RNHCG brings battle-tested patterns, production code, and startup speed to companies ready to lead with AI.
Book a free discovery call. No sales pitch—honest advice on whether AI makes sense now.
Book Your Discovery Call