Platform overview

The platform to put agents to work in complex environments

Deploy AI workers with confidence across agents, context, governance, and interfaces — with full visibility into workforce performance.

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Platform diagram

agents

It all starts with Agents that take action

  • 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.

Learn more about Agents

context

Agents collect and learn from 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.

Learn more about Context

governance

Agents are evaluated against benchmarks

  • 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.

Learn more about Governance

interfaces

Humans interact with agents through 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.

Learn more about Interfaces

the intelligence layer

Proactive intelligence

  • 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

Enterprise Deployments

Launch your AI workforce today with the team, process, and expertise to deploy and scale with confidence.

Cloud-native infrastructure built for enterprise scale

Kubernetes-based microservices across AWS, GCP, and Azure with enterprise-grade reliability.

You choose how you deploy

We build end-to-end or your engineers lead with forward-deployed engineer support.

Established process to production

Discovery → implementation → testing → go-live with a proven deployment playbook.

Scale new markets on what's already built

Post-deployment care period with forward-deployed engineers on call as you expand.

Put agents to work in complex environments

Book a demo