Icertis offers an AI‑native contract intelligence platform that centralizes all contracts as structured, connected data and automates drafting, redlining, obligation tracking, and risk analytics through its Vera agents. The solution leverages a contract data lake, AI embeddings, and a semantic knowledge graph to provide real‑time compliance enforcement and actionable insights, while integrating securely with enterprise systems such as SAP, Microsoft, and Salesforce.
Funding
$50M 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
Enterprises struggle with fragmented contract processes that are manual, siloed, and prone to errors, leading to slow deal cycles, missed obligations, regulatory non‑compliance, and hidden financial risk.
Solution
Icertis provides an AI‑native contract intelligence platform that centralizes all contracts as structured, connected data. The platform leverages a large contract data lake, AI embeddings, and a semantic knowledge graph to understand industry‑specific language and regional regulations. AI agents (Vera) automate drafting, redlining, obligation tracking, and insight generation while operating within enterprise‑defined guardrails. Users interact through a natural‑language interface for fast composition and analysis, and the system integrates directly with core ERP, CRM, and procurement systems to embed contract intelligence across the organization. The solution delivers real‑time risk detection, compliance enforcement, and actionable insights without requiring external API calls to large language models.
Target Audience
Primary customers are large enterprises across industries such as financial services, healthcare, public sector, and technology that need to manage high volumes of contracts and integrate contract intelligence into their core business processes.
Features
- AI‑driven Vera agents for autonomous contract drafting, redlining, obligation fulfillment, and risk analytics
- Structured contract data lake with embeddings and a semantic knowledge graph linking intent, context, and risk relationships
- Omni‑LLM architecture allowing use of any large language model under a controlled, enterprise‑grade security layer
- Integrated playbooks, templates, and industry‑specific vertical solutions for finance, healthcare, public sector, and more
- Seamless integration with SAP, Microsoft, Salesforce, and other enterprise systems via native connectors
- Enterprise‑grade security, compliance, and no external API calls to LLM providers
- Natural‑language Copilot for query‑driven search and execution across the contract portfolio
- Visual Agent Studio for building custom AI agents and end‑to‑end workflow orchestration