Aarya · Conversational AI
Warm, multilingual voice experiences for inbound and outbound conversations—built around real turn-taking, context, routing, and human handoff.
Calls → qualification → action Applied intelligence, in production
AI agents that do the work.
We build voice and workflow agents that understand people, make decisions, and act across calls, CRM, messaging, and operations.
Aarya · Live conversationHI
Listening with context
What we build
One intelligence layer.
Every customer moment.
Purpose-built agents for the messy parts of business: understanding intent, preserving context, choosing the next move, and completing it inside the systems your team already uses.
Agentic CRM
Control the sales system in natural language. Research leads, prioritize action, update records, and move work forward with human oversight.
Ask → decide → executeBugHunter
An operations agent that connects reporting, triage, ownership, updates, and replies across email, Slack, and engineering workflows.
Signal → owner → resolutionContext that survives the conversation
Session memory, business rules, tool access, observability, and safe recovery—designed as one system so the agent can stay useful beyond a single turn.
Live context + durable stateInteractive system
See the agent think
in outcomes.
Choose a workflow. The interface below shows how one agent moves from a human request to verified action—without losing the person behind the data.
MAS Agent OS / simulationsecure orchestration
Aarya is active
Guide a student to the right path
A natural conversation becomes structured context and a clear next step.
LiveKitSarvam AIOpenAIExotelGoogleSlackGmailCRM
How we build
Designed for the
real world.
A demo can talk. A production agent must listen through noise, handle ambiguity, respect permissions, recover safely, and make its work visible.
Human at the center
Agents know when to act, when to ask, and when a person should take over.
India-first voice
Built for natural multilingual conversations, telephony realities, and the way customers actually speak.
Observable by design
Decisions, actions, ownership, and outcomes stay inspectable—so teams can trust and improve the system.
Build with MAS AI Labs
Bring us the workflow people say is “too messy” to automate.
We’ll turn it into an agent system that can understand, decide, and move the work forward.
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