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ProLaps

AI & Machine Learning

Models and agents that survive contact with production.

From RAG systems and copilots to forecasting and computer vision. We start with an evaluation harness, not a demo — so you can prove the thing works before it touches a customer.

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What this includes

LLM applications, copilots & agents
Retrieval-augmented generation pipelines
Evaluation harnesses & guardrails
Forecasting and recommendation systems
Computer vision & document intelligence
MLOps, monitoring and cost control

What you get

  • Eval suite with baselines
  • Inference infrastructure
  • Prompt & model registry
  • Drift monitoring dashboards

Not sure this is the right service?

Describe the problem instead. We will tell you which capability fits — or that you do not need us at all.

Talk to an engineer

How we deliver it

01

Discover

We sit with your team, your users and your data before we write anything. You leave discovery with a scope, an architecture and a number — not a proposal full of maybes.

02

Design

Interaction design and system design happen together. You get a prototype you can click and an architecture your CTO can challenge, at the same time.

03

Build

Working software every fortnight, in your environment, behind feature flags. Nothing is 90% done for three months. You see velocity, burn and risk in the same dashboard we do.

04

Launch

Phased rollout, load tested, with rollback rehearsed before it is needed. We run the launch with you, on your side of the incident channel.

05

Evolve

Ninety days of hypercare, then whatever shape you need — a retained squad, a support SLA, or a clean handover to your own team with the documentation to make it stick.

AI & Machine Learning in practice