Q2Q provides an AI‑powered deal sourcing platform that converts acquisition theses into structured search queries, automatically identifies and enriches target companies and owner contacts, and generates personalized multi‑channel outreach. The system includes a human‑in‑the‑loop approval workflow, real‑time response tracking, and calendar integration to schedule qualified introductory meetings for corporate development, private‑equity, venture‑capital and investment banking teams.
Funding
Funding not disclosed
Founders
Product
Problem
Deal teams spend weeks manually scouring reports, building spreadsheets, and hunting for owner contact information, leading to high labor costs, low outreach quality, and delayed deal pipelines. The process is error‑prone, with inconsistent email patterns, missed inbound signals, and fragmented follow‑up tracking that often results in few qualified meetings.
Solution
Q2Q delivers an AI‑powered deal sourcing engine that ingests a user‑defined acquisition thesis, automatically researches target markets, and extracts verified company and owner contact data. The platform generates hyper‑personalized outbound messages—including email drafts and optional AI‑driven voice calls—and routes them through a human‑in‑the‑loop approval workflow. Approved outreach is executed across multiple channels while the system monitors responses in real time. When owners engage, Q2Q schedules introductory calls directly onto the user’s calendar and attaches concise briefing notes, turning raw outreach into ready‑to‑talk meetings. The end‑to‑end automation compresses a multi‑week manual workflow into minutes, freeing deal professionals to focus on evaluation and negotiation.
Target Audience
Primary users are corporate development groups, private‑equity and venture‑capital firms, and investment banks that need a scalable, high‑quality pipeline of acquisition targets and introductory meetings.
Features
- AI thesis parser that translates high‑level buying criteria into structured search queries across web, social, and corporate registries.
- Automated web scraping and entity resolution engine that validates company size, revenue, and ownership to ensure fit against investment thresholds.
- Contact enrichment pipeline that extracts owner emails, phone numbers, and social profiles, applying probabilistic pattern detection to minimize bounce rates.
- Natural‑language generation module that drafts multi‑channel outreach (email, LinkedIn, voice) tailored to each prospect’s profile and recent activity.
- Human‑in‑the‑loop approval UI that lets users review, edit, and approve messages before dispatch, preserving compliance and brand tone.
- Real‑time response tracking with automated follow‑up sequencing and sentiment analysis to prioritize warm leads.
- Calendar sync and meeting‑note generation that auto‑populates CRM or deal‑flow tools with call details and contextual insights.
- Secure, GDPR‑compliant data handling with end‑to‑end encryption and role‑based access controls.