OpenAI & LLM Integration Services
Adding AI to your product is easy to demo and hard to ship. Production LLM features need prompt engineering, cost controls, rate-limit handling, content moderation, evaluation, and fallbacks — the unglamorous engineering that separates a viral demo from a reliable feature.
We integrate OpenAI, Anthropic Claude, and open-source models into websites, apps, and business systems: semantic search, content generation, summarization, classification, and custom copilots — engineered for reliability and predictable cost at scale.
What's included
LLM Feature Development
Generation, summarization, extraction, and classification built into your product.
Semantic Search & RAG
Vector embeddings with Pinecone or pgvector for meaning-based search over your data.
Prompt Engineering & Evals
Systematically tested prompts with regression suites that prevent quality drift.
Cost & Rate Management
Caching, model routing, and token budgets that keep API bills predictable.
Multi-Provider Architecture
Abstractions across OpenAI, Claude, and open models — never locked to one vendor.
Why it matters for your business
- Ship AI features users trust, not demos that embarrass
- Predictable API costs even as usage scales
- Search that understands meaning, not just keywords
- Freedom to switch models as the AI landscape evolves
How we deliver
- 01
Discovery
- 02
Planning
- 03
Design
- 04
Development
- 05
Testing
- 06
Launch
Every engagement includes 30 days of free post-launch support — and transparent, fixed pricing agreed before any work begins.
Frequently asked questions
Related services
Ready to get started with OpenAI Integration?
Tell us about your project and get a free consultation with fixed, transparent pricing — no obligation, no pressure.