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Platform
One operating system. Five proprietary subsystems.
Built for AI-native operations — engineered and owned end to end, not assembled from integrations.
Illustratif — le mécanisme est réel ; les données affichées sont un exemple
How it works.
Follow one request through the stack. Every layer is ours.
- 1
vConnect
ReachA customer reaches you on voice, WhatsApp, or email — received through our own communication layer.
- 2
AgentOS
WorkforceThe right AI worker picks it up, with a scoped identity and the memory of every prior interaction.
- 3
Smart Router
IntelligenceEach step is routed to the best model for the task, at the right cost — across providers, never locked to one.
- 4
Secure Runtime
TrustThe worker acts by writing code against a curated SDK in an isolated sandbox, under permission — every action sealed in an audit log.
- 5
Maestro
CreationWhen the work needs new software, Maestro builds it — so the system extends itself, in production.
The technology
Built on proprietary infrastructure — not integrations.
AgentOS, Smart Router, vConnect, Secure Runtime, and Maestro aren't wrappers around someone else's tools. They're infrastructure we engineered and own end to end — the layer that turns AI into something an organization can run on.
Model-agnostic by architecture
A learned gateway routes every request across providers to the best model for cost and quality — never locked to one.
Code-mode execution, sandboxed
Agents write code against a curated SDK in an isolated runtime — not dozens of brittle tool calls.
Real-time, omnichannel by default
Live voice and every messaging channel through our own communication layer — one agent, everywhere.
Persistent identity & memory
AI workers with durable identity and shared memory engineered into the platform — not prompt-stuffed.
Software that builds software
A multi-agent system that turns plain language into production code.
Enterprise outcomes, on infrastructure you don't have to assemble — because we built it.
Enterprise control.
You decide what AI may do — and you can prove what it did.
Permissions
Per-tool permissions and role-based access scope exactly what every worker can touch.
Budgets & limits
Per-team budgets, rate limits, and model allow-lists keep spend and behavior in bounds.
Approval gates
High-risk actions wait for human approval before they run.
Audit logs
Every action is recorded in an append-only, tamper-evident log you can export.
Human-in-the-loop
Escalate to a person at any step; you set the autonomy level per worker.
Deployment options
Managed cloud today, with your-cloud and self-hosted on the roadmap.
This is not integration work.
An integration moves data between apps. It connects systems.
95% operates intelligence across them — it gives AI an identity to act with, memory to act on, a model to think with, a runtime to act in, governance to stay accountable, and the ability to build what's missing.
That's a platform. Not a connector.
Questions evaluators ask
- What is an AI-native operating system?
- The layer beneath the work that makes AI execution possible, visible, and safe: identity, memory, routing, sandboxed execution, and audit as one platform surface — not a point solution added on top of old processes.
- How is 95% different from an integration platform?
- An integration moves data between apps; it connects systems. 95% operates intelligence across them: AI workers hold identity and memory, every action runs governed in one environment, and the whole record is auditable. That's a platform — not a connector.
- Do the five subsystems work standalone?
- Each subsystem — AgentOS, Smart Router, vConnect, Secure Runtime, Maestro — is a real product that can be adopted on its own, and each becomes stronger inside the operating system where identity, routing, reach, trust, and creation share one record.
See the architecture for yourself.
Talk to our team, or request a technical architecture review.