AI Agent
Development
We build autonomous AI agents that think, plan, and act, so your team focuses on what only humans can do. From single-tool agents to multi-agent pipelines, we know the stack inside out.
We track every major agent framework
and ship with the ones that hold up in production
Our stack below is what we use with clients this week, not a list we update once a year.
Agent Frameworks
Foundation Models
Memory & Vector Stores
Infrastructure
What our agents actually do
Customer Support Agent
24/7 intelligent support that understands context, escalates edge cases, and keeps improving from every conversation.
Code Review & Generation
Agents that review PRs, suggest refactors, write tests, and generate boilerplate, integrated directly into your dev workflow.
Data Analysis & Reporting
Turn raw data into actionable insights with agents that query databases, build charts, and generate executive summaries on demand.
Document Processing
Extract, classify, and reason over thousands of PDFs, contracts, and reports, with human-level accuracy and zero fatigue.
Sales & Lead Qualification
Autonomous agents that research prospects, personalise outreach, qualify intent, and hand off hot leads to your team.
Research & Knowledge Mgmt
Agents that browse the web, synthesise papers, maintain internal wikis, and surface the right knowledge at the right moment.
Multi-Agent Pipelines
Orchestrate teams of specialised agents that collaborate, debate, verify each other, and solve complex multi-step problems.
Process Automation (RPA+AI)
Replace brittle rule-based RPA with AI agents that adapt, handle exceptions, and integrate across any system via browser or API.
From idea to production agent
Discovery & Goal Mapping
We start by understanding what decision or action you want the agent to handle autonomously, and where human oversight stays necessary.
Architecture Design
We design the agent graph: tools, memory, retrieval strategy, and model selection, tailored to your latency, cost, and accuracy targets.
Rapid Prototyping
A working prototype in days, not weeks. We move fast, get it in front of stakeholders, and iterate on real feedback.
Evaluation & Red-Teaming
We systematically probe for failure modes, adversarial inputs, and edge cases before anything touches production.
Production Deployment
Containerised, observable, and scalable. We wire up logging, tracing, cost monitoring, and fallback handling from day one.
Continuous Improvement
Agents improve over time. We set up feedback loops, fine-tuning pipelines, and weekly reviews to keep performance climbing.
We're the team that lives and breathes AI agents
We use what we build
Every tool in our stack is something we've shipped in production. No cargo-culting, no tutorial demos.
Agents need iteration
Most agent failures come from prompt, tool, or architecture issues, not the model itself. We've debugged hundreds of them.
Right-sized solutions
We'll tell you when a simple LLM call beats a complex multi-agent system. We optimise for your outcome, not our invoice.
Production-grade by default
Observability, rate limiting, fallback chains, and cost guardrails are part of every build from day one.
Ready to discuss your project with us?
