Most businesses don't need an off-the-shelf AI product — they need AI embedded into their specific workflow, trained on their specific data, producing outputs in their specific format. We build custom integrations using the OpenAI API and Anthropic Claude API, including prompt engineering, function calling, RAG and structured output systems.
Most businesses don't need an off-the-shelf AI product—they need AI embedded into their specific workflow, trained on their specific data, and producing outputs in their exact format. While commercial chatbot subscriptions operate in silos, custom OpenAI API and Anthropic Claude API integrations feed directly into your existing databases, CRMs, internal tools, and operational software pipelines with deterministic precision.
We architect production-grade LLM systems utilizing retrieval-augmented generation (RAG) with vector databases, advanced prompt engineering, schema-enforced structured outputs (JSON/Zod), and native tool use / function calling. Every integration is built with robust error handling, rate-limit retry queues, and token-cost optimization. Delivered production-ready with 100% full source code ownership—no recurring API middleware markups, no proprietary vendor lock-in.
From custom LLM connectors and enterprise RAG vector systems to complex prompt engineering and schema-enforced JSON outputs.
High semantic accuracy. Sub-second vector retrieval. 100% structured JSON compliance.
[Client Case Study Placeholder — To be supplied by client before final deployment] A legal-tech firm needed to query over 50,000 pages of multi-jurisdictional contracts and regulatory filings. Out-of-the-box LLMs produced hallucinations and lacked citations to specific clauses.
Engineered a custom RAG architecture pairing Pinecone vector indexing with Anthropic Claude 3.5 Sonnet. Implemented contextual document chunking, hybrid keyword/vector search, and strict JSON output schemas enforcing exact paragraph source citations.
Achieved 99.4% factual precision with zero undetected hallucinations across 10,000+ benchmark legal queries. Reduced attorney document analysis time from 4 hours to under 3 minutes per case.
Answers to common questions regarding custom OpenAI/Claude integrations, RAG architecture, vector databases, prompt engineering, and delivery timelines.
Production architectures, platform comparisons and step-by-step implementation guides from our quantitative engineering team.
Step-by-step technical guide to building autonomous AI agents with OpenAI and n8n workflow platforms for modern enterprise operations and customer support.
Complete integration guide for ElevenLabs voice synthesis and speech automation platforms, covering API key security, latency reduction, and webhooks.
Technical deep-dive into copier architecture, latency bottlenecks, order replication, and risk management in multi-account deployments.
Whether you need a single API integration or a complete RAG-powered knowledge system — tell us what you're building. We'll scope it, design it and deliver it to production standard. Most projects start within 5 business days.
Or email info@psi-square.net · Phone +44 (0) 20 3872 7195 · We reply within 24 hours · NDA available on request