Applied AI and emerging technology.

Fidelity Agentic is the compliance, risk and control layer for agentic ecosystems. One trace engine sits over every agent you run: every response, tool call and inter-agent exchange is recorded, stratified by level of interest, and streamed to the organisation on a need-to-know basis. Policy is applied at the point of action, so anything that touches a rule is held for review with the full record attached. The evidence for the AI management standard is produced by the agents themselves, structured to ISO/IEC 42001.

Command and control gives operators live visibility of every agent, the context it is working with and the prompts that shape it, with the controls to act on what they see: spend, scope, data-access and runtime limits per agent, and the ability to pause, narrow or take an agent offline, each order recorded alongside the action. Delivered with a catalogue of agents engineered for enterprise workflows and more than 300 connectors across CRM, finance, data, productivity and developer tools.

Using multi-agent AI in health is always exciting, and this is a great example of a need that has had gatekeeping for way too long.

People want every piece of information available for their specific circumstance. myHealthLake offers a self-operated UI that keeps the complexity under the hood, so users can reach complex information and arrive at better questions to ask their health professionals.

An online agentic cost simulator and calculator. It helps companies forecast the cost of their agentic builds before they get committed to the spend.

Real-world assets over blockchain are becoming the prevalent way consumers want to deal with assets, no middle man, no broker, immediate transfer confirmation, asset and money settled in the same block.

We run a permanent network for companies that want to test and run blockchain RWA trades. The testnet is in closed beta, reach out for access.

A safer agentic harness for autonomous agents, built for teams who know their use case deeply and want to ship it without rebuilding the orchestration layer.

Orchestrator agents, unlike chat models, are always on. We use the harness internally to test model suitability across AI labs, so clients don't have to do the trial-and-error themselves.

Our team comes from a mix of commercial and academic backgrounds, so there's a deliberate focus on sharing understanding. The AI industry is leaving most people behind, especially SME and SMB owners too busy making their business work.

For founders, builders and innovation teams, we offer lightweight technical interactions through a private builder community and Founders Corner, an application-based mentorship for teams building transformative technology.