OpenAI-powered features
built into your product.
We integrate OpenAI's APIs — GPT-4, Assistants, Vision, Embeddings, and Whisper — into production software. Not demos. Not prototypes. Features your users actually rely on, with the latency, error handling, and cost controls that production requires.
OpenAI features that are actually useful — not just impressive in demos
We've shipped AI features into products people pay for. The gap between a working demo and a production-ready AI feature is where most integrations fail. We've navigated it.
AI Chat & Assistants
Context-aware chat interfaces with memory, tool use, and structured outputs. Assistants API for complex multi-step conversations — with proper streaming, error handling, and fallbacks.
RAG — Retrieval-Augmented Generation
AI that answers questions from your own content — documents, knowledge bases, product catalogues. We build the embedding pipeline, vector store, retrieval layer, and generation chain.
AI Content Generation
Structured content generation with output validation — product descriptions, reports, emails, and summaries. We built Tully AI, an AI content platform, entirely on OpenAI's API stack.
Vision & Document Analysis
GPT-4 Vision for image understanding — invoice processing, document extraction, photo analysis. Combined with structured outputs for clean, reliable data extraction.
Production AI is an engineering problem, not just an API call
Calling the OpenAI API is easy. Building an AI feature that's fast, cheap, and reliable in production is the actual work. Here's what we focus on.
Latency and streaming
Users don't wait for AI features. We implement streaming responses, intelligent caching, and background pre-computation to make AI features feel instant — not like waiting for an API.
Cost controls from day one
Token usage compounds fast at scale. We build token budgeting, context compression, model routing (using cheaper models where quality is sufficient), and usage dashboards that prevent surprise bills.
Structured outputs and validation
LLMs hallucinate and produce unexpected formats. We use OpenAI's structured outputs, JSON mode, and Zod/Pydantic validation to ensure AI responses are always in the shape your application expects.
Fallbacks and error handling
OpenAI has rate limits and occasional outages. We build retry logic, model fallbacks (GPT-4 → GPT-3.5 for non-critical paths), and graceful degradation so your product keeps working.
What we build OpenAI integrations with
The full stack behind production OpenAI features — not just the API call.
Common questions about OpenAI integration
How do you handle data privacy with OpenAI?
For sensitive data, we implement data anonymisation before sending to OpenAI, use OpenAI's Zero Data Retention option where available, or recommend using Azure OpenAI Service (which has stronger enterprise data agreements). We'll map out the right approach for your compliance requirements.
Can you integrate OpenAI with our existing application?
Yes — this is the most common engagement. We integrate OpenAI features into existing Node.js, Python, .NET, or PHP backends. The integration pattern depends on your existing architecture, which we assess before scoping.
How do you control OpenAI API costs?
Through model routing (using cheaper models for lower-stakes tasks), semantic caching (returning cached responses for similar queries), context compression (trimming conversation history intelligently), and token budgets with hard limits per user/tenant.
What's the difference between using OpenAI directly vs Anthropic or Gemini?
We work with all three. OpenAI has the most mature tooling and the widest library support. Anthropic (Claude) performs better on long-context and nuanced tasks. Gemini has multimodal strengths. We'll recommend the right model for your specific use case — or build a multi-provider setup with routing.
Want to add AI features to your product?
We've shipped it. Not just prototyped it.
Tell us what you're trying to build with AI. We'll tell you honestly what's feasible, what'll cost you at scale, and whether OpenAI is the right tool for it.
Free 30-min scoping call
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