LLM applications
Assistants, copilots and document workflows built on large language models, with prompt design, evaluation and cost control.
LLM applications, retrieval-augmented generation, computer vision and intelligent automation, engineered and audited by Cehpoint to run reliably in production, not just to demo well.
We take AI from proof-of-concept to a maintained system, with evaluation, monitoring and security in the loop.
Assistants, copilots and document workflows built on large language models, with prompt design, evaluation and cost control.
Retrieval-augmented generation over your own documents and databases, so answers are grounded and cite their sources.
Detection, classification, OCR and inspection pipelines for images and video, deployed to the cloud or the edge.
Agents and pipelines that read, decide and act across your tools, with human checkpoints on the decisions that matter.
Pipelines, labelling and evaluation harnesses so you can measure quality and catch regressions before users do.
Deployment, monitoring, versioning and rollback: the operational plumbing that keeps AI dependable.
A model call is the easy part. The value is in retrieval quality, guardrails, evaluation, latency, cost and security. We treat AI as software: tested, observable and hardened.
The same team stays across the lifecycle, so nothing falls between a data scientist and an ops team.
Define the outcome, data and acceptance criteria.
Build a working slice and measure it against real examples.
Add guardrails, security, monitoring and cost controls.
Ship to production and keep it healthy, or hand it over.
Tell us the outcome you want from AI. We will tell you honestly what is feasible, and show you a working slice.