FusionAI is a model-agnostic agentic platform. You describe the outcome; FusionAI decides the right combination of models, tools, memory, and execution mode to get the work done — in the cloud, locally, or both.
Manual follow-up, disconnected tools, and fragile automations are still the real cost of operations. FusionAI gives you agents that can work across systems with memory, approvals, and observability — so the platform can carry execution without losing context or control.
FusionAI combines model-agnostic routing, persistent memory, tools, workflows, webhooks, and hybrid cloud/local execution in one platform — so teams delegate work instead of stitching AI infrastructure together.
Live agent state shows the orchestrator's reasoning, the sub-agents it spawned, and every tool call as it happens — not a black box.
One brief, many specialized agents working in parallel — then synthesizing a single result.
Long-term, short-term, and episodic memory. Agents remember context across sessions, projects, and users — and get better over time.
When the agent detects a predictable, step-by-step process, it builds a deterministic workflow and runs it directly — zero tokens, zero cost.
Google, Microsoft, Stripe, Telegram, GitHub, Notion and thousands more — connected through MCP and a single integration standard.
When an agent hits a task it can't do, it writes a new skill, packages it, and reuses it — then any other agent can use it tomorrow.
None of this is on the roadmap — it's live today. Agent groups, agent-to-agent messaging, event-driven entry points, scheduled work, dual cloud/local execution, self-learning skills, and a visual map of how it all connects.
@mention any agent, fan one task out to several specialists at once, and get a single orchestrated synthesis back — one brief, many minds.
Agents talk to each other asynchronously — direct unicast or agent_mail — so long-running work hands off and reports back without losing context.
Every agent can be an endpoint. Fire a webhook or trigger and a full agent — memory, tools and skills included — picks up the event and runs.
Cron, recurring and one-shot jobs that run in the background: checks, monitors and follow-ups that keep working while you're away.
The same agent network runs in the cloud runtime and locally on your machine via the CLI local node — files, repos and terminal on one side; memory, triggers and coordination on the other.
See the CLI →Agents learn as they work: recurring tasks become reusable skills, sharpened by your feedback and installable from a connected catalog.
A visual graph of how your agents relate: who depends on whom, what's impacted when something changes, and where the work actually flows.
The orchestrator's reasoning, the sub-agents it spawned, every tool call as it happens. The agentic black box, made glass — so you always know what's running and why.
Every incoming event becomes a real conversation with a payload inspector beside it — raw and parsed, routing resolved, latency and status inline. Point any service at a URL and an agent reacts.
FusionAI agents don't just generate text — they own entire business processes. From financial collections to engineering automation, deploy agents that operate on your real systems, follow your compliance rules, and report back with results.
Not “draft a reminder.” The agent runs collections end-to-end — contacts each client, negotiates a date, and follows up on its own until the money lands.
The agent lives next to your codebase in a real environment. It catches a bug, writes the fix, runs the tests, and opens a PR that ships on green — autonomously.
Certified security controls. Your data never trains our models. Full audit logs on every agent action.
Deploy in your region or on-premise. Your data stays where your compliance requires it.
Granular permissions per agent, workflow, and integration. SSO with your existing identity provider.
Enterprise SLAs with dedicated support, guaranteed response times, and a named account team.
Run FusionAI entirely inside your infrastructure. Air-gapped deployments available for regulated industries.
Implementation engineers, onboarding support, and a customer success manager from day one.
Write what you want done in plain language — or talk to it. Connect the tools it should use. No prompt engineering required.
It breaks the work into steps, decides where an LLM is needed, and spawns specialized sub-agents to run in parallel.
Agents act on real systems — send emails, write code, update CRMs — then hand you a finished result. On schedule. 24/7.
Everyone else hands you a model endpoint — then you build memory, RAG, threads, tools, and orchestration yourself. FusionAI hands you the whole agent. No history to replay, no context to manage. Call it over REST, drop in the SDK, or give an event a brain with a webhook.
Call it from your website, your backend, a sensor, or a camera. Agents don't just read text — they reason over images, video, audio, telemetry, and documents, then act on real systems. Put an agent inside the loop of how your business already runs.
MCP unifies every tool under one standard. Agent-to-Agent lets your agents hand work to each other — autonomously.
Deploy FusionAI across your enterprise — collections, compliance, support, logistics, and engineering automation. SOC 2 certified, on-premise ready, and built for scale.
One command. Your full agentic platform — locally. Run agents, trigger workflows, and deploy automations without leaving your terminal.