Dialogue AI raises $6M Seed to speed up product discovery with live AI interviews
Product teams live or die by the quality and speed of their customer learning. Dialogue AI, an AI-native market research platform based in Los Angeles, has launched with a $6 million Seed round to make interviews and synthesis happen in real time. The platform centers on a live, conversational AI interviewer that runs end-to-end research-from study design and recruitment to AI-moderated interviews and automated analysis.
The company is already used by teams at Wayfair, Square (Block), Nextdoor, and Suno. If you've felt the drag from manual research ops, this is built to compress that cycle.
Who backed the round
The Seed round was led by Lightspeed Venture Partners with participation from Seven Stars, Uncommon Projects, The Tornante Company (founded by Michael Eisner), and angels including the CPO of Discord, former CPO of Nextdoor, and former CTO of Match Group. Lightspeed manages over $30B across the U.S., Europe, India, Israel, and Southeast Asia, with a track record in AI, enterprise, consumer, health, and fintech.
What Dialogue AI does
Founded in 2025 by Benjamin Lo, Justin Hoang, and Hubert Chen, Dialogue AI runs real-time, human-like interviews and turns raw conversations into usable insights fast. It streamlines study creation, participant recruitment, AI-moderated sessions, and automated synthesis-so teams can move from questions to decisions without the usual handoffs. Think less coordination, more validated learning.
Why product teams should care
- Shorter discovery loops: run iterative interviews in hours, not weeks.
- Scale: reach more segments and time zones without adding moderators.
- Consistency: no moderator drift; same script logic, same depth, every time.
- Instant synthesis: push structured insights into PRDs, JTBD summaries, and opportunity trees.
- Clear ROI: more interviews per sprint, faster signal on problem-solution fit.
Practical use cases you can run now
- Concept and messaging tests pre-/post-launch.
- Onboarding and UX narrative interviews to surface friction.
- Pricing and packaging sensitivity checks with target segments.
- Churn and win-loss interviews for roadmap and GTM alignment.
- Persona refreshes and continuous voice-of-customer feeds.
What the funding enables
Dialogue AI plans to deepen product development, expand go-to-market, and scale its live AI interviewer across industries. Translation: broader feature set, better coverage for specialized workflows, and easier adoption for enterprise teams.
Implementation tips for product leaders
- Start focused: pick one journey (onboarding, churn, or key workflow) and automate that research loop first.
- Set guardrails: sampling criteria, consent, and bias checks should be explicit and auditable.
- Benchmark: run a small A/B-human vs. AI-moderated interviews-and compare depth, time, and cost.
- Wire insights into delivery: pipe synthesized findings into your backlog (e.g., Jira or Linear) with tags.
- Track outcomes: measure interview cycle time, interviews per week, and decision confidence lift.
Quick facts
- Company: Dialogue AI, Inc.
- Round: Seed
- Raised: $6.0M
- Date: October 2025
- Lead Investor: Lightspeed Venture Partners
- Additional Investors: Seven Stars, Uncommon Projects, The Tornante Company, and angels from Discord, Nextdoor, and Match Group
- Headquarters: Los Angeles, California
- Clients: Wayfair, Square (Block), Nextdoor, Suno
- Website: https://dialogueai.com/
If your org is leveling up on AI-driven research workflows, explore role-specific learning paths here: AI courses by job.
Source: Business Wire
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