What We Build

We build agentic AI that carries work forward inside real organisations. Going beyond chatbots and dashboards, these are decision-capable systems that operate across workflows, teams, and tools, under real constraints: incomplete data, regulatory oversight, legacy infrastructure, and human dependencies.

Why ‘Agentic’ Matters

Most AI products are conversational. Most work inside organisations is not. Real work is a multi-step, multi-system journey that ends in a business outcome: a quote sent, a costing sheet prepared, a compliance document filed, a customer issue resolved. An agentic system manages this journey. It interprets context. Sequences decisions. Engages systems and people autonomously. Generates the artefacts. Knows when to ask, when to act, when to escalate, and when to stop. That's the difference between AI that answers and AI that works.

Layered Decision Architecture

Mitochondria’s ATP separates Interpretation (understanding intent, context, ambiguity), Policy (checking permissions, rules, constraints), Risk (determining confidence thresholds, escalation needs), and Execution (acting, deferring, or routing). This separation allows the system to adapt as business rules change, remain auditable as usage scales, and evolve without constant retraining.

Human-in-the-Loop by Design

Human involvement is an architectural decision made upfront. Our systems are explicit about which decisions are autonomous, which require human judgement, who is accountable at each step, and how outcomes are logged and learned from. This preserves responsibility while reducing cognitive load. It ensures continuity beyond any individual employee.

Agentic Meshes

Real work is rarely handled by a single AI agent. We design networks of specialised AI agents, each with a defined scope, collaborating under shared rules, memory, and logging. One handles intake, another validates, another generates documents, and another routes approvals. Together, they behave less like a tool and more like a team of AI colleagues: fast, consistent, bounded in authority, and improving through exposure. Organisations don't install colleagues, do they? They onboard them, define boundaries, review their work, and let trust build over time. ATP works the same way.

Calm Transformation

‘Disruption’ tends to trigger defence. Team identities are often tied to their workflows. Organisational memory is fragile. Teams protect inefficient systems because they understand them. Adoption works when AI calmly preserves continuity, assists before it replaces, respects existing roles, and delivers an early, visible win. One team. One workflow. Tight feedback loops. Then expand. ‘Calm’ is a feature.

Decision Memory

Every workflow ATP runs produces structured data: logged decisions, traceable outcomes, and cleaner inputs. Over time, this compounds into organisational intelligence (also termed as a context graph), a living record of how decisions are made, not just what was decided. This cannot be bought off the shelf. You grow it, one workflow at a time.