Tesrex

Overview

Tesrex designs operational layers around AI models to accelerate workflows. The platform integrates source ingestion, contextual retrieval (RAG), language model management, reviewer queues, evidence file preparation and handoff to teams. The approach rests on compressing existing processes by a factor of 10, by automating preparation without replacing human judgment. AI prepares drafts and evidence files whilst teams retain control of decisions, review notes and transmission paths.

Services and expertise

Workflow Products

Tesrex offers products dedicated to specific workflows: request for proposal response preparation, property examinations, Copilot readiness assessment, root cause analyses, access management and operational customer queues. Each product connects existing sources and transforms preparation into actions ready for review.

Build AI Platforms

Building product layers around language models covers ingestion, embeddings, contextual retrieval, model controls, parallel checks and role-based interfaces. The platform manages source connectors, reviewer queues, workflow state, evidence files and user feedback.

Modernise Teams

Tesrex trains leaders, engineers and operators in practices that make AI reliable in production environments. Training covers context windows, retrieval, prompt systems, review habits and escalation limits.

Estate to Evidence

Modernising Cisco, Microsoft, security and collaboration infrastructure ensures that AI systems can trust the underlying data. Areas include Copilot source quality, secure access, Cisco data, permissions and telemetry.

Private AI Engineering

Tesrex defines privacy boundaries: authorised sources in RAG, customer data localisation, context window assembly, exposed models and temperatures, and dual control gates before action. Specialised approaches cover finance, health and technology with approved sources and open or private models.

Methodology

Tesrex's methodology prioritises source quality before model choice. It insists on decision traceability: AI prepares drafts and evidence files, named reviewers validate before action, and the workflow remains appropriable by the team. Assumptions, gaps and modifications remain visible before action routing.

More information on https://tesrex.com