Ariadne is a continuous-cognition orchestrator that observes, reasons and acts across your systems — turning tangled operations into clear, guided outcomes. Engineered in Britain, trained on our own Grace Blackwell cluster.
Most AI tools answer a question and stop. Ariadne keeps going — maintaining a live model of your problem space, forming long-term intents, and taking the lowest-effort actions that move you toward them.
Ariadne brings perception, memory, reasoning and action together in one coherent platform — so your teams orchestrate outcomes instead of stitching tools together.
Ingests text, structured data, telemetry and events, building a continuously updated model of the problem space it's given access to.
Extracts correlating, distinct and opposing patterns, then plans strategies through a lowest-cost, time-restricted gradient map of possible actions.
Combines vector memory, key–value stores and lambda expression trees so context and hard-won outcomes persist across every interaction.
Real-time tensor-weight updates let Ariadne learn from observation as it works — improving with every action instead of between releases.
Turns intent into execution — taking previously undefined actions to reach long-term goals or steer clear of undesired outcomes.
Runs entirely on your infrastructure. On-premise or private-cloud deployment keeps sensitive data inside your walls, under your control.
Beyond the engine, Ariadne is a place your team and its agents share — visual canvases, live 3D scenes, code, data and connected tools, all in one interface.
A collaborative canvas with a shape library built from your own SVGs. Pin notes to any shape, invite others live, and ask an agent to expand a note into a finished diagram.
Agents build in three dimensions — placing primitives and custom Three.js meshes into a shared scene that updates live as the work happens.
A conversational assistant, a coding mode that writes, reviews and runs code, and a query mode for exploring your structured data — the right tool for each task.
Markdown notes with semantic search, plus curated knowledge bases your agents can read and write — so context is never lost between sessions.
Record and replay browser tasks, crawl sites with the web spider, and connect mailbox, calendar, transcription and read-aloud — all agent-accessible.
Extend agents into your own environment — an ACP server for JetBrains and VS Code, real local file access, and a native Windows desktop app.
Ariadne connects to your systems and maintains a live picture of the current state.
It weighs your long-term intents against what it sees and simulates candidate strategies.
It executes the lowest-effort path that moves conditions toward your goals.
Every outcome is measured and stored, sharpening the next decision automatically.
Trained in-house on our Grace Blackwell cluster — tuned for speed, intelligence and the ability to act, not just answer.
A native NVFP4 high-speed diffusion foundation model built for real-time, high-throughput generation.
A high-intelligence foundation model for the heavy reasoning and planning at Ariadne's core.
A fine-tuned NVIDIA omnimodel with text, image, audio and action support for grounded, multi-modal tasks.
Full-lifecycle delivery in C#, C++, SQL and TypeScript — web, desktop, embedded and smart-card systems, architected with ArchiMate.
Resilient design across L2/L3, BGP, DNS, PKI, Hyper-V, Kubernetes, firewalls and VPNs including MPLS/ExpressRoute.
Windows, Linux and FreeBSD servers, ASP.NET sites, MS SQL and NoSQL — provisioned and maintained.
Cost savings, efficiency gains and rapid troubleshooting, plus hands-on cloud provisioning across Azure, AWS and Google Cloud.
Ariadne is built by a working consultancy. The same team that trains our models can turn your idea into a product, harden your infrastructure, or untangle a difficult IT problem.
Fully equipped with MSDN Enterprise licenses, our own production servers, a secure remote-access solution and specialist contacts across almost every corner of IT.
Fizl Ltd is a British software and AI company. When we're not delivering for clients, we're in the lab — building a genuinely adaptive form of AI on our own Grace Blackwell cluster.
We describe what we're building as Level 2–3 synthetic intelligence: systems that don't just recognise inputs, but generate and enact strategies to reach long-term goals — and adjust those goals as the world changes.
Founded and led by Simon Soanes. Read more on the blog or explore our open work on GitHub.
UK company no. 10374740, independently owned.
A working lab exploring self-learning AI beyond machine learning.
Models trained on our in-house Grace Blackwell hardware.
Private-by-design deployments; your data stays yours.
Request access and we'll show you how continuous-cognition orchestration works on a problem from your own operations.