One platform for agents that do real work.
The infrastructure for the next generation of autonomous AI. AEGIS is the agentic AI platform FLEXVOTIX is building, to help teams build and operate intelligent multi-agent systems with orchestration, runtime infrastructure, contextual memory, model intelligence, execution observability and enterprise governance in one unified platform.
The core idea
Authority follows the plan.
Objective
What a person or application asked for, with stated limits.
Plan
A versioned graph of steps, validated before it runs.
Mandate
The authority granted to a step. A child can only be narrower than its parent.
Decision
Allow, require approval or deny, made outside the model.
Approval
A person's decision, bound to the digest of the exact action.
Record
The ordered event log behind state, trace, audit and replay.
Capabilities
Eight capabilities, four layers.
Execute
Act and think
Technical architecture
Execution in the middle. Control around it.
Orchestration Engine
Keeps plans as data, resolves dependencies, schedules steps and derives each child Mandate.
When it fails
If a step fails, its retry class and failure policy decide what happens next.
Example workflow
From a request to evidence, in six moves.
This is the flow the platform is being designed around. The demo shows a scripted version.
Define
Publish a versioned agent with a model route, tools and requested authority.
Submit
An application sends an objective with a root Mandate.
Plan
The Orchestrator compiles and validates a plan, then derives child Mandates.
Run
Workers execute steps durably. Every model and tool call passes through the gateway.
Decide
Guard allows, denies or requests approval. Waits hold no compute.
Prove
Inspect the record, replay the run, and turn it into a regression test.
Technical explanation
Why these are one platform.
A shared record
Every state transition is an event written in the same transaction as the state. Trace and audit are views of it, so they cannot disagree with what ran.
A single path out
All model and tool calls leave through the gateway. Guard sits in that path, which is why policy can be enforced without trusting the agent.
Neutral interfaces
Model providers, safety checks and exporters sit behind stable interfaces, so the core does not depend on any one vendor.
Plans as data
A plan is a stored graph rather than code in a process. It can be validated in advance, resumed after a crash and compared between versions.
What ships when
An honest scope.
| Phase | Scope |
|---|---|
| Phase 1: Foundation MVP | Agent registry, basic multi-agent orchestration, model provider adapters, tool gateway, Mandates, policy, approvals, execution history, basic tracing. |
| Phase 2: Developer platform | Visual Studio, SDKs, API documentation, MCP, memory, agent testing, evaluations. |
| Phase 3: Production infrastructure | Advanced orchestration, customer-hosted runner, model routing, advanced observability, validated NVIDIA ecosystem adapters. |
| Phase 4: Enterprise scale (research) | Private deployment, enterprise identity, multi-region, advanced governance. |
See the platform's ideas run.
The demo is scripted and synthetic, and it will take about two minutes.