Agents
Autonomous AI workers that handle complex conversations, follow defined procedures, feed shared context, and surface outcomes through custom interfaces.
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Define how agents think and act
Agents reason in real time to determine when to call tools, retrieve information, or escalate - transparently and within the boundaries you set.
Write your agent's persona, tone, and communication boundaries directly into the prompt, defining what it always says, never says, and how it handles sensitive topics.
Give agents step-by-step instructions for how to handle specific situations, like verifying identity before account access or confirming a waybill before sharing shipment data.
One agent brain across every channel
The same agent logic and knowledge works across voice, SMS, email, WhatsApp, web chat, Microsoft Teams, and Slack.
Agents maintain context across sessions, inject authenticated user data at session start, and process file uploads so customers never have to repeat themselves.
Escalations route instantly into channels of your choosing (Microsoft Teams, Slack, and more) when a conversation needs a human touch.
Human-like voices built for real world operations
Fine-tuned and proprietary text-to-speech (TTS), end-of-turn (EOT) detection, fillers, and voice activity detection (VAD) with keyword boosting and domain accuracy ensure that agents handle accents, jargon, and interruptions without breaking flow.
AI workers speak 30+ languages including English, Spanish, French, Arabic, and more with automatic failover and voice matching across providers so callers never notice a switch.
Dynamic denoising models and acoustic conditioning handle background noise, poor call quality, crosstalk, and messy environments, so agent performance doesn't degrade when conditions aren't perfect.
Every voice pipeline component is optimized for live telephony so conversations flow naturally without getting cut off mid-sentence or any awkward pauses.
Deterministic logic for when predictability matters
Programmatic workflow logic
Define branching paths, conditional routing, retry logic, and fallback behaviors - or drop custom code anywhere in the workflow when precision matters. Fully predictable, every step.
Access to tools and external systems
AI workers invoke APIs, perform OCR, query databases, write to CRMs, and route to external agents via MCP mid-workflow, passing context, waiting, and continuing seamlessly.
Any trigger
Workflows run on inbound calls, web hooks, scheduled runs, file uploads, or inbound messages. Any pattern, any channel, at any scale.
Any execution pattern
Run multiple tasks simultaneously and merge results before moving on, iterate through every item in a list at any volume, or loop a sequence until a condition is met - no bottlenecks, no manual intervention.
Agents built for fast, reliable deployments
Versioned workflows
Fork any workflow, build and test in isolation, and deploy instantly - production keeps running untouched until you're ready.
Isolated environments
Dev, staging, and production run independently so multiple changes can be validated simultaneously and promoted to production.
Configurable and reusable components
Build prompts, nodes, and workflows once and reuse them across every deployment. Update in one place and every agent that uses it reflects the change instantly.
Accelerate with FDEs
Forward Deployed Engineers (FDEs) can accelerate deployments by designing workflows and configuring agents so your AI workforce is production-ready.
Use intelligence to build agents and workflows
Confirm your approach in Plan mode before applying changes - bigger edits surface as reviewable cards first. The build copilot asks questions crucial to the best agent experience.
Describe what you need and build copilot assembles the workflow, wires triggers, sets up nodes, and writes prompts
Close the panel mid-build and the conversation resumes right where it left off when you come back.