Viven
UnclaimedScale expert knowledge and decision-making across your organization with AI Digital Twins.
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TL;DR - Viven
- Creates AI Digital Twins of experts to scale knowledge and decision-making.
- Automates routine tasks for individuals, acting as a personal AI assistant.
- Offers enterprise-grade security and flexible deployment options for data control.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Scales expert knowledge without increasing workload.
- Retains critical enterprise knowledge and context.
- Accelerates onboarding for new team members.
- Reduces time spent on repetitive information sharing.
- Provides robust security and data control options for enterprises.
Cons
- Requires initial training data from individual experts.
- Implementation may require integration with existing communication and knowledge systems.
- The concept of 'Digital Twin' might require cultural adoption within an organization.
Key Features
AI Digital Twins of expertsTacit knowledge encoding and preservationDomain-specific knowledge assistantsTeam Twins for collective expertiseAgentic workflows for task automationFlexible deployment (SaaS, VPC, On-Prem)Enterprise-grade security and compliancePersonalized AI assistance for routine tasks
Pricing
Paid
Viven offers paid plans. Visit their website for current pricing details.
About Viven
By Toolradar Team·
Viven creates AI Digital Twins of key experts within an organization, training them on their decisions, communications, and domain knowledge. These Digital Twins act as an always-on resource, allowing teammates to instantly query an expert's Twin to access specialist reasoning, even when the human expert is unavailable or overbooked. This addresses bottlenecks caused by expert time loss, stalled projects due to unavailability, and the challenge of capturing tacit knowledge.
Beyond scaling expert knowledge, Viven's Digital Twins also function as personal assistants for the experts themselves. They handle routine tasks such as status updates, meeting preparation, and basic decision-making, freeing up the human expert to focus on high-impact work. The platform is designed for enterprise use, offering robust security, flexible deployment options (SaaS, VPC, On-Prem), and compliance with regulatory standards, ensuring that critical context and expertise are retained and accessible across the entire organization.
How we evaluate tools →Source: viven.ai
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Viven FAQ
How does Viven's Digital Twin differ from a standard AI chatbot or knowledge base?
Viven's Digital Twin is an AI version of a specific expert, trained on their unique decisions, communications, and tacit domain knowledge, rather than just general information. This allows it to provide specialist reasoning and context that a generic chatbot or knowledge base cannot, effectively replicating an individual's expertise and decision-making process.
What kind of data is used to train a Viven Digital Twin?
Digital Twins are trained on an expert's decisions, communications, and domain knowledge, which can include emails, documents, meeting transcripts, and other forms of work data. This allows the AI to capture the nuances of how an individual operates and makes judgments.
Can a Viven Digital Twin perform actions or only provide information?
Viven's Digital Twins support agentic workflows, meaning they can turn conversations into actions. This includes triggering updates, approvals, handoffs, and other automations, moving beyond just providing answers to actively assisting with tasks.
How does Viven ensure data privacy and security for enterprise deployments?
Viven is built with enterprise-grade security, offering deployment flexibility including hosted SaaS, private VPC, or on-premises options. This provides full customer control over data residency, with features like data isolation, encryption, and compliance with enterprise regulatory standards.
What is a 'Team Twin' and how does it benefit an organization?
A Team Twin provides a shared view of how an entire team operates by combining the individual knowledge and expertise of its members into one coherent Digital Twin. This creates a collective intelligence resource that the whole organization can rely on, ensuring consistent operational understanding and decision-making across the team.
Source: viven.ai