AI & ML
Agentic AI
AI systems that plan, use tools, and complete multi-step tasks on their own. The technology is advancing fast, but production deployment demands careful safety design.
Trusted by leading organisations
AI systems that plan, use tools, and complete multi-step tasks on their own. The technology is advancing fast, but production deployment demands careful safety design.
Trusted by leading organisations
Traditional software follows predetermined paths. Agentic AI systems choose their own path at runtime. They decide which tools to call, what information to gather, and when to ask a human for help.
The frameworks are evolving quickly. LangGraph, CrewAI, Anthropic tool use, and OpenAI function calling each take a different approach to agent orchestration. Most will change significantly within two years.
The hard problems are architectural, not framework-related. How do you test something non-deterministic? How do you bound its authority? How do you audit every decision it makes?
Technology snapshot
Current industry demand for this technology
How widely used by development teams worldwide
How well it handles growth in load and complexity
At a glance
Define the planning loop, tool registry, memory strategy, and escalation policy. Each choice shapes both capability and risk.
Connect agents to APIs, databases, code interpreters, and other agents. Manage execution graphs, retries, and communication.
Build input validation, output filtering, authority boundaries, cost ceilings, and circuit breakers for production agents.
Audit logging, authority boundaries, and human checkpoints built in before the first line of agent code.
We evaluate LangGraph, CrewAI, and Claude tool use against your requirements. No vendor lock-in.
Error recovery, cost controls, rate limiting, and observability. We move agents from notebooks to SLA-backed services.
We build our own production AI tools including Lovelace, Primrose, and Lineer. Our advice comes from shipping, not reading.
Every agent run is traced: tokens consumed, tools called, decisions made, time elapsed. Cost ceilings prevent runaway spend.
Recorded tool responses, assertion-based evaluation, and adversarial input suites make non-deterministic systems auditable.
Talk to us about agent architecture, safety frameworks, multi-agent orchestration, or moving a prototype into production.
Talk to Our Experts