Cloud-native infrastructure built for enterprise scale
Kubernetes-based microservices across AWS, GCP, and Azure with enterprise-grade reliability.
Platform overview
Deploy AI workers with confidence across agents, context, governance, and interfaces — with full visibility into workforce performance.
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agents
Agent definition
Define how your agents think, speak, and act.
Omni channel messaging
Build agent once, deploy across WhatsApp, SMS, email, Slack, and voice, with human-like voices for 30+ languages, low latency, and proprietary transcription accuracy.
Complex workflow logic
When predictability is not optional, use deterministic logic to govern exactly what your agents do, when, and how.

context
Agents as a key data source
Automatically extract, classify, and map agent interactions into a structured context layer that powers every workflow.
Contact Intelligence
Know every contact before they speak — history, preferences, and open issues surfaced in real time.
Integrations to your existing systems
Leverage 200+ native integrations to connect agents to the systems your business already runs on.

governance
Behavioral northstars
Define what good looks like precisely and measurably for every agent behavior.
Pre-deployment testing
Test agent behavior exhaustively across planned scenarios, real production failures, and adversarial attacks.
In-production audits
Automatically sample and audit everything in production without reviewing every conversation manually.
Continuous improvement loop
Improve every future evaluation automatically with closed-loop feedback, observability, and A/B testing.

interfaces
Visualize insights generated from agents
Purpose-built operational interfaces to monitor, intervene, and collaborate with your AI workforce.
Interfaces for any use case
Build interfaces for customer support, logistics, escalation management, and more.
Manage agents directly via custom interfaces
Configure, monitor, and control your AI agents through interfaces tailored to your teams.

the intelligence layer
Build workflows faster with an AI copilot
Describe what you want to build and the copilot drafts workflows, tests, and configurations for you.
Monitor workflows proactively
Always-on agent watches your deployment and surfaces anomalies before they impact operations.
Improve your workforce over time
Every audit result, human feedback signal, and production failure feeds back into continuous improvement.
Get recommendations from AI that knows the platform
The build copilot understands the platform end to end and recommends the right next steps.

True partnership
Launch your AI workforce today with the team, process, and expertise to deploy and scale with confidence.
Kubernetes-based microservices across AWS, GCP, and Azure with enterprise-grade reliability.
We build end-to-end or your engineers lead with forward-deployed engineer support.
Discovery → implementation → testing → go-live with a proven deployment playbook.
Post-deployment care period with forward-deployed engineers on call as you expand.