SakLabs AI ingests every call, chat, and email - transcribes across
11 Indian languages, extracts intent, and turns it into tracked tasks.
A customer explains everything on the phone. The moment they hang up, half of it is gone - never written down, never followed up.
Customers speak Hindi, Tamil, Bengali, Kannada. Your tooling speaks English. Meaning gets lost in the handoff.
Voice notes, chats, email threads. The full picture lives nowhere, so nothing gets prioritised correctly.
Someone reads every message, decides what it is, and forwards it on. Slow, expensive, and error-prone at scale.
Audio, text, and email enter the same orchestrated pipeline - transcribed, understood, remembered, and turned into action.
Transcribe and translate across 11 Indian languages with Sarvam AI - no meaning lost in the handoff.
Per-user and per-org context stored with mem0 + ChromaDB - it survives restarts and grows over time.
Tasks are created, deduped, and routed automatically. An IMAP listener even ingests email every minute.
Five focused microservices - gateway, processing, intelligence, memory, and task management - engineered together for one job: turning raw conversation into reliable action.
Sarvam AI transcribes and translates across 11 Indian languages. OpenAI + Agno then classify intent, pull entities, and score urgency and sentiment.
Context persists in per-user and per-org memory with mem0 + ChromaDB. Understood once. Remembered forever.
Voice recordings, text messages, and emails all flow through one unified pipeline - no separate tooling per channel.
Classify each message - task, complaint, lead, escalation - and pull entities, urgency, and sentiment with OpenAI + Agno.
Transcribe and translate across 11 Indian languages via Sarvam AI - Hindi, Tamil, Telugu, Bengali, Kannada, and more.
Per-user and per-organisation context stored with mem0 + ChromaDB - survives restarts and grows with every interaction.
An IMAP listener polls connected inboxes every minute and pushes new mail straight through the full AI pipeline.
Create, dedupe, and track tasks across projects, teams, and roles - with full audit logs and a clean dashboard.
See how raw natural conversations are instantly broken down, cross-referenced against vector memories, and routed to your team in real-time.
Incoming voice calls are streamed directly into Sarvam speech models. Native audio is transcribed and aligned to intent states.
Entities and facts are stored using mem0 into ChromaDB. During live chats, historical interactions are recalled based on cosine distance.
Intent classifier determines task domains (e.g. Sales, Support, billing). Duplicate checks prevent ticket floods across messaging channels.