ORIGIN AI®
We engineer production-grade Generative AI systems — from LLM integration and prompt engineering to custom fine-tuning and multi-modal pipelines — powered by Claude, GPT-4, Gemini, and open-source models.
We don't just call an API — we engineer the full stack. From system prompt architecture and context management to streaming responses and fallback chains, every LLM integration we build is production-hardened and cost-optimised.
Every Generative AI solution we build is purpose-built for your domain — not a generic wrapper around a public API.
Domain-specific AI assistants trained on your data, tone, and workflows. Customer support bots that actually resolve issues, internal knowledge assistants that search 10,000-page documentation in seconds, and sales copilots that personalise every outreach message.
Automated content at scale — blog posts, product descriptions, social media, email campaigns, and reports generated in your brand voice with human-level quality.
AI-powered code generation, review, documentation, and test writing integrated directly into your development workflow and CI/CD pipeline.
Extract, summarise, and query information from PDFs, contracts, reports, and unstructured documents with LLM-powered understanding far beyond basic OCR.
Real-time translation, multilingual customer support, and content localisation powered by LLMs with cultural nuance, not just word-for-word translation.
Domain-specific fine-tuned models that outperform general LLMs on your task at a fraction of the inference cost — medical, legal, finance, and more.
Every project ships with proper evaluation frameworks, cost monitoring, hallucination guards, and production observability baked in.
Deployed a Claude-powered pipeline that ingests radiology, pathology, and clinical notes — summarising 40-page reports into structured 1-page briefs for physicians. Integrated with EMR systems via FHIR API with full audit logging for compliance.
Fine-tuned GPT-4o on 50k product descriptions to generate SEO-optimised copy in brand voice. Reduced content production time from 2 hours to 8 seconds per product.
AI system that reviews NDAs, SaaS agreements, and employment contracts — flagging risky clauses, summarising obligations, and suggesting redlines in seconds.
Adaptive AI tutor that adjusts explanation style, difficulty, and pacing based on student performance history. Deployed across 3 universities with 15k+ active users.
Analyses earnings calls, 10-K filings, and financial charts together — producing risk summaries, growth signals, and competitor comparisons for investment teams.
Real-time AI copilot for support agents — surfaces relevant docs, suggests responses, and auto-drafts tickets with context from CRM, reducing average handle time by 60%.
We work across the full LLM ecosystem. Model selection is driven by your task requirements, latency budget, cost constraints, and data privacy needs — not brand loyalty. We benchmark every deployment before it goes live.
Tell us your use case, the LLM you're curious about, and the outcome you need. We'll take it from there.