Fine-tuned language models, computer vision systems and custom neural networks for products that need AI trained on specific data. We build and train models for document classification, image recognition, anomaly detection, demand forecasting and domain-specific NLP — delivered with full model weight ownership.
While general-purpose commercial APIs excel at broad tasks, some problems require a model trained specifically on your own data — with your business owning the resulting model weights rather than depending on a third-party API indefinitely. We build custom AI models, fine-tuned LLMs, computer vision systems, and neural networks tailored for document classification, image recognition, anomaly detection, demand forecasting, and domain-specific NLP.
This is different from integrating an existing model like OpenAI or Claude via API — this is training a model from the ground up, or fine-tuning one, on data specific to your business. We engineer end-to-end training pipelines, perform supervised fine-tuning and parameter-efficient tuning, generate synthetic datasets, and optimize inference latency for edge or private cloud environments.
Every project is delivered with complete training pipeline documentation, code, and model weight ownership — no licensing fees, no per-seat markups, and zero vendor lock-in.
Proprietary AI model engineering and fine-tuning pipelines built for enterprise accuracy and privacy.
Government-grade document digitization pipeline combining OCR, semantic search, and NLP classification.
A national securities regulator holds decades of acts, ordinances, rules, regulations, circulars and enforcement orders across dozens of categories. Locating a specific document meant manually browsing rigid folder structures, with no way to search by meaning or content and no consistent way to classify incoming filings.
Government-grade document digitization pipeline combining OCR-based processing to convert scanned and legacy documents into structured, searchable text, an ElasticSearch-powered semantic search engine, and NLP classification to automatically categorize documents by type and regulatory area. Built with a compliance-focused architecture on AWS.
Staff and the public can now search the regulator's full document archive by meaning and content rather than folder navigation, with new filings automatically classified and indexed as they arrive — replacing manual document handling with fast, auditable retrieval at government scale.
Answers to common questions regarding custom AI model development, fine-tuning, training data requirements, and deployment.
Technical blueprints, AI architecture breakdowns, and implementation guides.
Whether you need a fine-tuned language model or a custom computer vision system — tell us what you're building. We scope every project individually and provide fixed-price quotes within 24 hours.
Or email info@psi-square.net · Phone +44 (0) 20 3872 7195 · We reply within 24 hours · NDA available on request