LOGIC
RACKS
Engagements from £40k

AI systems that ship to production.

Custom AI agents, retrieval-augmented platforms and fine-tuned models — built on your data, evaluated against your metrics, deployed to your cloud.

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What we build

Capabilities included in every engagement.

Agentic Workflows

Multi-agent systems that reason, plan and execute. Built on LangGraph, AutoGen or custom orchestration — with human-in-the-loop checkpoints.

RAG Platforms

Retrieval-augmented generation grounded in your documents, data and APIs. Vector indices, hybrid search, citation tracing, no hallucinations.

Fine-Tuning & Evals

Custom fine-tuned models when generic LLMs fall short. Eval pipelines covering accuracy, hallucination, latency, cost-per-task.

How we work

The 4-step engagement.

01

AI Discovery

Map workflows, data and constraints. Score opportunities. Pick the right model.

02

Prototype & Eval

Working prototype in 2–3 weeks. Eval framework alongside, so we know it actually works.

03

Production Build

Hardened pipeline, observability, cost controls, security review.

04

Operate & Improve

Weekly model reviews, drift monitoring, continuous re-evaluation, incident response.

Deliverables

What you receive.

  • Agent / RAG architecture document
  • Evaluation pipeline + benchmarks
  • Production-ready AI pipeline
  • Observability + cost dashboards
  • Human-in-the-loop UI
  • Security + compliance pack
  • Documentation + runbooks
  • Ongoing model ops (optional)

Engagement tiers

Pick the engagement that fits.

AI Pilot

From £40k

  • Single agent / RAG
  • Eval pipeline
  • 6 weeks
  • 30 days ops support
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AI Platform

From £120k

  • Multi-agent system
  • Production observability
  • 12 weeks
  • 90 days ops support
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AI at Scale

From £250k

  • Enterprise-grade
  • Fine-tuning + custom models
  • 20+ weeks
  • Ongoing platform ops
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Logic Racks built an AI agent that replaced three finance tools and half a finance hire. Pays for itself in the first week of every month.

Emma L.

Founder, UK Finance-Tech Startup

Common questions

FAQs for this service.

Do you build with closed or open-source models?+
Both. We pick based on accuracy, latency, cost and data-residency needs. We have shipped with OpenAI, Anthropic, Llama, Mistral and fine-tuned in-house variants.
How do you handle hallucination and drift?+
Every AI system ships with an eval pipeline — accuracy benchmarks, hallucination rate tracking and human-in-the-loop for high-risk paths. We measure, not assume.
Where does our data live?+
Your cloud, your region. We deploy to AWS, Azure or GCP — UK / EU by default. We never train shared models on your data without explicit, separate contract.
How quickly can we see a working prototype?+
Most AI pilots have a working prototype within 2–3 weeks of kickoff.

Let's build the system
that grows your business.

Book a free strategy call. Walk away with a clear plan — whether you hire us or not.