- AI Systems Agency
AI systems that
Jakhura designs and builds AI automations, LLM integrations, and custom tools that run in production — not in a slide deck. UK-based, engineering-led, outcome-first.
Built with
- What we build
AI, engineered for production
Six ways we help businesses turn AI capability into working software.
AI Automation
We replace manual workflows with agents and pipelines that run themselves, reliably.
LLM Integration
Drop-in LLM features wired into your existing product, stack, and data with proper guardrails.
Custom AI Tools
Internal copilots and bespoke tools built around how your team actually works.
RAG & Knowledge Systems
Search and retrieval over your own documents and data, grounded and citation-backed.
AI Web Apps
Full-stack AI-native products, from prototype to a polished, scalable release.
MLOps & Deployment
Evaluation, monitoring, and infrastructure so your AI systems stay fast, safe, and cheap to run.
- How it works
From idea to production in four steps
A tight loop that keeps scope honest and ships fast without cutting corners.
Discover
We map your workflows, data, and constraints to find the highest-leverage AI opportunity.
Design
We spec the system architecture, model choice, and UX before a line of production code is written.
Build
Our engineers build in short, visible sprints with working demos, not slideware.
Ship
We deploy, monitor, and hand over a system your team can run and extend with confidence.
- Featured work
Systems in production
A sample of what we’ve shipped for clients across retail, logistics, and finance.
Support Triage Agent
An LLM agent that classifies, routes, and drafts replies for inbound support tickets.
Internal Knowledge Copilot
Grounded search across 40,000+ internal documents with source-linked answers.
Dynamic Pricing Engine
A self-serve pricing dashboard backed by a forecasting model retrained nightly.
- OpenAI
- Anthropic
- LangChain
- Pinecone
- Postgres
- Docker
- AWS
- n8n
“Jakhura didn't just bolt on a chatbot — they rebuilt how our support team actually works. It shipped in six weeks and hasn't gone down since.”
- FAQ
Questions, answered
Straight answers on timelines, models, security, and support.
How quickly can you ship an AI system?
Most automations and LLM integrations go live in 4–8 weeks. We run short sprints with working demos, so you see real progress from week one.
Which AI models and platforms do you work with?
We’re model-agnostic: OpenAI, Anthropic, open-source models, and vector databases like Pinecone and Postgres/pgvector. We choose based on accuracy, cost, and your data requirements.
Is our data kept secure?
Yes. We design with least-privilege access, keep sensitive data in your own infrastructure where possible, and add guardrails, logging, and evaluation before anything reaches production.
Do you support systems after launch?
Every engagement includes monitoring and handover. Ongoing support plans cover model updates, evaluation, cost optimisation, and new features as your needs grow.
Let's build your next
Tell us what you want to automate. We’ll come back within one business day with a clear plan, timeline, and fixed quote.