Now accepting new projects

London's AI-first
engineering partner

We build custom AI solutions and intelligent automation for UK enterprises. From LLM integrations to full-stack applications, shipped in 4-12 weeks.

Production-ready in weeksEnterprise-grade securityOngoing support included
PrismAgent
Running
📥

Ingest

ACTIVE

Data collection

🧠

Analyze

AI processing

Execute

Run automation

🚀

Deploy

Ship to prod

0 errors|99.9% uptime
Technology Stack

Powered by cutting-edge tools

We select the right technology for each project, combining proven frameworks with the latest AI innovations.

GPT-5

AI & ML

OpenAI's most advanced reasoning model for complex problem-solving and nuanced understanding.

How We Use It

We leverage GPT-5 for complex document analysis, multi-step reasoning tasks, and generating human-quality content that requires deep contextual understanding.

Common Use Cases

Document summarizationCode generationStrategic analysisContent creation

Plus many more specialized tools tailored to each project's unique requirements

About Us

Engineers who ship AI to production

Prism Labs is an AI-first software studio. We specialize in intelligent systems that automate workflows and extract insights from data, but we're also full-stack engineers who build custom software of any kind.

We're not AI researchers chasing benchmarks. We're engineers focused on production: latency, reliability, cost optimization, and systems that work at scale. If it doesn't ship, it doesn't count.

Our clients range from startups building their first AI feature to enterprises needing custom internal tools or intelligent automation. Most projects deploy within 4-12 weeks.

Production-ready code
No vendor lock-in
UK-based team
Ongoing support
0+

Projects delivered

0+

AI integrations

0+

Years experience

0wks

Avg time to launch

How We Work

From data to deployed AI

A structured approach to building AI systems that actually work in production.

01
01

Assess

Audit your data, workflows, and existing systems. Identify high-impact automation opportunities.

Feasibility report & scope
Learn more
02
02

Architect

Select the right models and infrastructure. Design RAG pipelines, API contracts, and integration points.

Technical specification
Learn more
03
03

Integrate

Build and deploy the solution. Connect to your systems with proper auth, error handling, and fallbacks.

Working system in staging
Learn more
04
04

Monitor

Track accuracy, latency, and costs in production. Iterate based on real usage patterns and edge cases.

Production deployment
Learn more
Reference Architectures

Real solutions we have built

Technical case studies from recent engagements. Client details anonymized under NDA, but the architectures and results are real.

Tier-1 UK Bank

Regulatory Document Processing

The Challenge

Manual review of 50,000+ compliance documents annually. 3 FTEs dedicated to extraction and categorization.

Our Solution

RAG pipeline with custom-trained extractors. Human-in-the-loop for edge cases. Direct integration with existing GRC platform.

Key Architecture
  • Azure-hosted for data residency
  • Fine-tuned extraction models
  • 99.2% accuracy on key fields
  • Audit trail for regulators
£1.2M
Annual savings
80%
Time reduction
12 weeks
To production
National Logistics Provider

Intelligent Support Automation

The Challenge

24/7 support team handling 2,000+ daily tickets. 70% were routine queries about tracking and scheduling.

Our Solution

Agentic AI system connected to TMS and WMS. Handles queries, updates, and escalations autonomously.

Key Architecture
  • Real-time system integration
  • Multi-turn conversation memory
  • Automatic escalation triggers
  • Performance analytics dashboard
60%
Ticket automation
< 30s
Response time
4.6/5
CSAT maintained
Series B SaaS Platform

AI-Native Product Feature

The Challenge

Needed to ship AI assistant feature before fundraise. Internal team had no LLM experience. 10-week deadline.

Our Solution

Full-stack implementation from prompt engineering to production deployment. Handed off with documentation.

Key Architecture
  • Next.js frontend with streaming
  • LangChain orchestration layer
  • Semantic caching for cost control
  • Usage-based billing integration
10 weeks
On-time delivery
15%
Conversion lift
£0
Post-launch bugs

Want to discuss how we could approach your specific challenge?

Book a Technical Review
Common Questions

Frequently asked questions

Everything you need to know about working with us. Can't find what you're looking for? Get in touch.

Most projects go from initial assessment to production deployment in 4-12 weeks, depending on complexity. A focused RAG pipeline or workflow automation can ship in 4-6 weeks. More complex multi-model systems or enterprise integrations typically take 8-12 weeks. We provide a detailed timeline after the initial technical assessment.
Start a Project

Ready to automate?

Tell us about the workflow you want to automate or the AI capability you need. Most projects launch in 4-12 weeks with measurable ROI.

Free technical assessmentResponse within 24 hoursNo commitment required

Location

London, United Kingdom

Response time

Within 24 hours