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The AI-native GTM platform

Your prospecting workflow. Connected to AI.

Discover companies and people, organize shared lists, and approve contact access. Use the app, REST API, and MCP tools with the same workspace permissions and credit balance.

Find the companies that fit your question.

Turn a market definition into explicit criteria. Build a company set with a clear reason for every record.

Explore company discovery
Explore the details

  • Industry and location

    Define the market and geography you want to understand.

  • Employee range

    Keep the company set within a useful stage and team size.

  • Company identity

    Inspect the name and domain behind every matching company.

  • A saved shortlist

    Keep relevant source references in a named workspace list.

25M+ company records. Website demonstrations use fictional companies; the workspace identifies its connected source and release.

Keep the research together.

Organize prospects in named lists, save useful search criteria, and add team notes. Your workspace research stays separate from the external source record.

Explore shared research
Explore the details

  • Named prospect lists

    Group companies or people by the research task your team shares.

  • Team notes

    Keep workspace-entered context beside the saved source reference.

  • Saved searches

    Keep criteria ready for the next intentional search.

  • Explicit unknowns

    An absent field remains unknown rather than becoming a guess.

Profiles, saved references, lists, and saved search criteria do not spend credits. Running a nonempty search page costs one credit.

Understand the people around the company.

Search by role, seniority, geography, and company context. Review contact availability and approve the specific evidence and cost before unlocking.

Explore people discovery
Explore the details

  • Professional roles

    Read the role, department, and seniority in one connected view.

  • Company relationships

    Keep the professional attached to the correct company context.

  • Contact fields

    Inspect fictional work emails and distinguish absent contact details.

  • Deliberate contact access

    Work email costs one credit; direct or mobile phone costs five. Repeats of the same unlocked evidence are free.

299M+ contact records. Availability describes historical evidence, not a guarantee of current employment or deliverability.

Use your AI client as part of the stack.

Use bounded tools for search, profiles, lists, and contact approvals. Scoped credentials keep the agent within your workspace permissions.

Read the developer docs
Explore the details

  • Shared record definitions

    Inspect the fields, types, and example values in the documentation.

  • API contract

    Read supported search, profile, list, credit, and error contracts.

  • MCP contract

    Connect scoped tools and inspect the source evidence behind a result.

  • Human-readable evidence

    Carry explicit limits and open questions into the research handoff.

Use REST and MCP with a verified workspace account at app.vencavo.com. Setup guides cover scopes, credits, and supported client connections.

Data principles

Useful context. Clear boundaries.

Resolve the company first.

A name is a starting point. Use the domain and company context before joining people or events to a record.

Inspect the useful fields.

A record should help answer a research question. Keep identity, industry, location, and team size easy to review.

Keep relationships clear.

A department label and a reporting relationship are different claims. Do not quietly turn one into the other.

Leave room for unknowns.

Missing contact details, event dates, and reporting lines stay visible as gaps. They are not filled with assumptions.

Built for AI

Connect your AI client.

Read the implemented MCP tools and setup guide.

Keep the work portable.

Download the sample CSV and read the documentation as HTML or Markdown. Your research can move with you.

Make availability explicit.

Public interactions use fictional examples. Source labels distinguish connected records from fixtures in the product.

Explore the data

A clearer record. A better place to start.

Choose a workspace plan, keep a shared research list, and spend credits on the next useful step.

Explore the sample.

Fictional company records. Working local filters.

Open the explorer

Choose your workspace plan.

Shared credits. Clear costs. App, API, and MCP.

Explore plans