Viven provides a Digital Twin platform that captures and replicates the decision logic and tacit knowledge of subject‑matter experts by continuously ingesting communications, documents, and workflow data. The AI‑driven twins can be queried through native connectors to enterprise SaaS tools, delivering instant expertise, automating routine tasks, and supporting secure, compliant deployment on SaaS, VPC, or on‑premises environments.
Funding
$35M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprise teams lose critical expertise when subject‑matter experts are unavailable, over‑booked, or leave the organization. Tacit decision logic and contextual knowledge remain trapped in emails, chats, and undocumented processes, causing project delays, repeated work, and costly knowledge leakage.
Solution
Viven delivers a Digital Twin platform that creates AI‑driven replicas of individual experts by ingesting their communications, decisions, and domain artifacts. These twins provide instant, always‑on access to specialist reasoning, enabling any employee to query expertise even when the human is offline. The twins also act as personal knowledge assistants, automating routine updates, meeting preparation, and decision workflows. Built with enterprise‑grade security, the platform supports SaaS, VPC, or on‑premises deployment, ensuring data isolation and compliance while integrating seamlessly with existing collaboration and productivity tools.
Target Audience
Large enterprises and mid‑market organizations that rely on specialized knowledge—such as engineering, sales, product, HR, and customer‑experience teams—seeking to preserve expertise, accelerate decision‑making, and reduce dependency on individual availability.
Features
- Automated model training pipeline that continuously ingests emails, documents, meeting transcripts, and CRM data to capture an expert’s decision logic and tacit knowledge.
- Pairwise privacy architecture with role‑based access controls and end‑to‑end encryption, guaranteeing that only authorized users can query a twin’s knowledge.
- Agentic workflow engine that converts natural‑language queries into actionable tasks such as status updates, approvals, or handoffs across integrated applications.
- Native connectors to over 30 enterprise SaaS tools (e.g., Slack, Microsoft Teams, Salesforce, Jira, Confluence, Box, GitHub) enabling context‑rich, cross‑application queries.
- Deployment flexibility: hosted SaaS, private VPC, or on‑premises installation with isolated data stores and customizable compliance settings.
- Scalable inference service optimized for low latency and high concurrency, supporting enterprise‑wide simultaneous twin interactions.
- API and SDK for building custom domain‑specific twins and embedding twin capabilities into internal tools or third‑party platforms.
- Centralized analytics dashboard that surfaces usage metrics, knowledge gaps, and performance insights for continuous improvement.