Scend offers an agentic search platform tailored for finance workflows, delivering verified data on private‑market companies, people, and deals. The tool lets buy‑side and sell‑side teams quickly source curated investors, generate dynamic market research, and access contact details for decision makers, streamlining sourcing, diligence, and market analysis in a single search.
Funding
$500K 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
Financial teams in private markets spend extensive time manually gathering and verifying data on companies, investors, and deals, leading to slow sourcing, diligence, and market research processes. Inaccurate or incomplete information further hampers decision‑making and outreach efficiency.
Solution
Scend offers an agentic search platform designed for finance workflows that returns verified, contextual answers about companies, people, and transactions in private markets. Users interact with a conversational research assistant that curates investor lists, quantifies total addressable markets, and surfaces relevant deal activity on demand. The system draws from multiple data partnerships and applies automated enrichment to provide contact details and rationale for each result, reducing manual data collection. Results can be exported or integrated with CRM systems, and an API enables embedding the search capability into existing deal pipelines. By delivering ground‑truth data in a single query, Scend accelerates sourcing, diligence, and outreach for both buy‑side and sell‑side professionals.
Target Audience
Primary users are private‑equity firms, corporate development groups, growth‑equity funds, family offices, and investment banks that require fast, reliable intelligence on private‑market companies and investors.
Features
- Conversational, agentic search interface tailored to finance terminology and workflow patterns
- Automated enrichment of company profiles, investor histories, and contact information with verification to minimize bounce rates
- Dynamic market research tools that generate TAM estimates and identify adjacency opportunities through natural language queries
- Buyer and investor discovery module that provides curated lists with strategic rationale and decision‑maker details
- Export functionality and optional CRM integrations for seamless data transfer into existing pipelines
- API access for programmatic queries and integration into proprietary deal‑flow systems
- Usage‑based credit model that scales with the volume of company enrichments, contacts, market reports, and buyer searches