AI Integration
Your startup has the vision, we bring the AI engineering. From selecting the right LLM to building production-grade AI pipelines, our consultants help you ship AI features that users love without the overhead of a full ML team.
The Problem
We assess your product concept and identify exactly where AI adds genuine value versus where simpler solutions work better - Without this, you risk wasting time, money, and competitive opportunities.
Hands-on comparison of GPT-4, Claude, Llama, Mistral, and specialized models against your specific use cases and budget - Without this, you risk wasting time, money, and competitive opportunities.
Production-grade system design for AI pipelines including RAG, fine-tuning strategies, caching, and fallback patterns - Without this, you risk wasting time, money, and competitive opportunities.
How We Do It
We analyze your product, user workflows, and market position to identify the highest-impact AI features to build first
Proof-of-concept testing with candidate models to validate accuracy, latency, and cost against your specific requirements
Detailed system design covering model selection, data pipelines, API design, caching, monitoring, and failover strategies
Hands-on engineering guidance during build phase with code reviews, prompt tuning, and performance optimization
Production deployment support, cost monitoring setup, and a 90-day optimization plan for continuous improvement
The Proof
CodeLeap transformed our vision into a complete product in just 3 months. The quality and commitment were exceptional - we could not have achieved this on our own in an entire year.
Sarah Chen
Chief Technology Officer, TechVista Inc.
Average efficiency gain for clients after AI integration
What You Get
Timeline: 2-8 weeks
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