Unleash provides an enterprise AI platform that ingests data from SaaS tools via over 100 connectors and creates a retrieval‑augmented knowledge index. The platform offers no‑code AI assistants and semantic search that can be embedded in Slack, Salesforce, Teams, and other workflow applications, with LLM‑agnostic support and deployment options from shared SaaS to self‑hosted, all under enterprise security and compliance controls.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often have fragmented internal data across dozens of SaaS tools, making it difficult for employees to locate accurate information quickly. Traditional search and knowledge‑base solutions lack AI‑driven relevance, and deploying custom AI models raises security and compliance concerns. Consequently, teams waste time, experience slower onboarding, and struggle to scale support and sales operations.
Solution
Unleash delivers an enterprise‑grade AI platform that turns a company’s existing data into an AI‑ready knowledge index. Using Retrieval‑Augmented Generation (RAG) and semantic search, the platform powers no‑code AI assistants that can be embedded directly into Slack, Salesforce, Zendesk, Teams, and other workflow tools. Customers choose any leading LLM (GPT‑4, Claude, etc.) and deploy the solution in a shared‑tenant, single‑tenant, or self‑hosted cloud environment, ensuring data never leaves the organization. A dedicated success manager and R&D team fine‑tune results, while centralized security controls enforce existing directory permissions, encryption, SOC 2 Type II, and GDPR compliance. The platform also offers an API for developers to integrate AI search and assistant capabilities into custom products.
Target Audience
Primary customers are large enterprises and mid‑market organizations that need AI‑enhanced knowledge access for engineering, sales, customer support, and people‑operations teams.
Features
- Over 100 pre‑built data connectors (e.g., GitHub, Confluence, Jira, Salesforce, SharePoint) for instant knowledge ingestion.
- No‑code AI assistant builder that lets users create, train, and deploy bots within minutes, with optional custom prompts.
- RAG‑enabled semantic search engine delivering context‑aware answers and source citations across all connected apps.
- LLM‑agnostic architecture allowing seamless switching between providers (GPT‑4, Claude, Anthropic, etc.) without vendor lock‑in.
- Flexible deployment models: shared‑tenant SaaS, dedicated single‑tenant SaaS, or self‑hosted on the customer’s cloud (AWS or Azure).
- Enterprise security suite: AES‑256 at rest, TLS 1.2+ in transit, SOC 2 Type II, GDPR compliance, SAML/SSO, SCIM, and fine‑grained access controls tied to existing identity providers.
- Centralized monitoring dashboard with usage analytics, query performance metrics, and role‑based access reporting.
- Developer API and SDKs (TypeScript, Python) for embedding AI search, assistants, and Go Links into external applications.