Market mapping and deal sourcing
Define a sector, geography, or thesis and surface relevant private companies, including off-market targets that may not appear in traditional databases.
Inven
RivendicaInven is an AI platform for M&A teams that helps map private markets, source deals, enrich company records, and run commercial due diligence. It uses proprietary private-market data and integrates with tools like Claude, ChatGPT, CRM systems, Excel, and browsers.
What Inven does
Inven is an AI platform for M&A teams that helps map private markets, source deals, enrich company records, and run commercial due diligence. The site positions it as purpose-built for workflows such as market mapping, deal sourcing, company materials preparation, and portfolio or pipeline monitoring.
The product is built around proprietary private-market data rather than general-purpose web search. Inven says it covers 28M+ companies globally, 430M+ verified professional contacts, 3M+ transactions, and active coverage across 160+ markets, and it offers integrations so teams can work in Claude, ChatGPT, CRM systems, Excel, and browsers without switching tools.
Core capabilities
Private market data enrichment
Use proprietary company, contact, transaction, and document data to enrich lists with ownership, roles, deal history, and other sourced fields.
Batch market analysis
Run repeatable research tasks across many companies at once so teams can analyze markets, compare peers, and rank opportunities in one workflow.
Presentation and materials generation
Turn structured research into client-ready slides, profiles, and sheets through Inven Skills and related export workflows.
Workflow integrations
Connect to Claude, ChatGPT, CRM systems, Excel, the browser, and internal systems through MCP, API, Chrome Extension, and exports.
Security and access controls
Apply access controls and security features designed for sensitive deal work, including SSO, MFA, encryption, and role-based permissions.
Common ways teams use Inven
Map a market for a mandate
Build a sector map from a thesis, then filter by geography, ownership, or other mandate criteria to create a target universe for outreach or analysis.
Source deals earlier
Identify founder-led, family-owned, PE-backed, or otherwise change-prone companies using ownership and intent signals that can indicate a potential sale process.
Prepare for client or deal conversations
Enrich a target list with contacts, ownership, deal history, and company data before a call, pitch, or outreach sequence.
Support diligence and benchmarking
Run structured questions and peer comparisons across a large set of companies to support commercial due diligence and competitive analysis.
Publish and operationalize research
Export structured outputs to slides, Excel, CRM systems, or internal tools so the research can move directly into the next team workflow.
Pros and Cons
Pros
- Covers the private-market workflow end to end, from mapping and sourcing to due diligence and materials prep.
- Uses proprietary data with source traceability, which the site presents as useful for defensible research.
- Supports multiple entry points into the workflow, including web app, AI tools, CRM, browser, Excel, API, and presentation outputs.
- Includes security features that matter for sensitive deal work, such as encryption, SSO, MFA, GDPR alignment, and role-based access controls.
- Surfaces off-market or hard-to-find companies that may not appear in standard databases.
Cons
- The source does not provide pricing details, so buyers cannot evaluate plan structure from the available pages.
- Some integration details are listed only at a high level; the source names supported tools and methods but does not give a full connector matrix or setup requirements.
FAQ
What is Inven used for?
Inven is built to map private markets, source deals, enrich company data, and support commercial due diligence for M&A teams. The site highlights use across private equity, investment banking, corporate development, and consulting.
How do teams use Inven in their workflow?
The source pages describe access through Inven’s web platform and integrations such as MCP, API, CRM connections, Chrome Extension, and exports to tools like Excel and presentation workflows.
How does Inven handle data security?
The security page says Inven does not use queries, outputs, or company data to train or improve its AI models, and it supports encryption at rest and in transit, GDPR compliance, SSO, MFA, and role-based access controls.
What data does Inven cover?
The source mentions 28M+ companies globally, 430M+ contacts, 3M+ transactions, and 100M+ financial documents analyzed or accessible, with active coverage across 160+ markets.
Does Inven publish pricing on the site?
The provided pages do not show pricing. The pricing route returns a not-found page, so pricing details are not available from the source material.
Quick Facts
- Product category
- AI platform for M&A
- Primary users
- Private equity, investment banking, corporate development, consulting
- Data coverage
- 28M+ companies, 430M+ contacts, 3M+ transactions
- Workflow
- Market mapping, deal sourcing, due diligence, materials preparation
- Integrations
- Claude, ChatGPT, CRM, Excel, Chrome Extension, API
- Source domain
- inven.ai