COMPETITIVE LANDSCAPE

AI Interview Market - Massive Validation

$120M+ Raised in 18 Months

Three major players raised significant capital from top-tier VCs. This validates that AI interviews work, the market is huge, and timing is now.

COMPETITOR ANALYSIS

Listen Labs

Founded 2023

$96.6M

Sequoia Capital, Ribbit Capital

TRACTION

  • 1M+ interviews conducted
  • 8-figure ARR (15x growth in ~1 year)
  • 45 employees
  • 30M+ pre-qualified participants

CUSTOMERS

  • Microsoft
  • Sweetgreen
  • Perplexity
  • Robinhood, Canva

WHAT THEY DO

AI-moderated interviews (text, audio, video), automatic analysis and synthesis, PowerPoint generation, video highlight reels, 50+ language support.

Strella

Founded 2023, Launched Oct 2024

$18M

Bessemer, Decibel Partners

TRACTION

  • 40+ paying enterprises
  • 10x revenue growth in 1 year
  • 90% average time savings
  • Mobile app with screen-sharing

CUSTOMERS

  • Amazon
  • Duolingo
  • Apollo GraphQL
  • Chobani, Spanx

POSITIONING

"Democratize customer research" for teams of all sizes. 10x faster, half the cost of traditional methods.

Conveo

Founded April 2024, YC W24

$5.8M

Y Combinator, 6 Degrees Capital

TEAM

  • 6 employees
  • CEO founded DataCamp (13 years)
  • CPO ex-McKinsey, AI & PE
  • 100x faster than traditional research

CUSTOMERS

  • Unilever
  • Orange (telecom)
  • Sanofi (pharma)
  • Google, P&G

POSITIONING

"90% of time in qualitative research spent on automatable tasks." Research in hours not weeks. AI research co-worker.

THE GAP MPF FILLS

WHAT COMPETITORS DO WELL

  • Execute AI-moderated interviews at scale
  • Analyze and synthesize qualitative data
  • Generate deliverables (reports, highlight reels, presentations)
  • Reduce research time from weeks to days/hours
  • Make interviews more honest (participants open up to AI)

WHAT COMPETITORS DON'T DO

  • Strategic market selection - You decide which market to research
  • Distribution channel discovery - Focus on product features, not GTM
  • Answer Thiel's 7 questions - No systematic framework for PMF
  • Orchestrate discovery strategy - You bring the research plan
  • Segment/niche identification - Assumes you know your ICP

MPF'S POSITIONING

COMPETITORS = INTERVIEW EXECUTION

  • You decide: Which market? Which channel? What to ask?
  • They execute: Moderate interviews, analyze data, generate reports
  • Value prop: Speed + scale of interview execution

MPF = DISCOVERY STRATEGY

  • MPF decides: Which market segment? Which distribution channel?
  • MPF orchestrates: Strategy → Recruitment → Interviews → Positioning
  • Value prop: Systematic answers to Thiel's 7 questions

COMPLEMENTARY, NOT COMPETITIVE

PRICE POINTS

  • MPF: $5K (strategic discovery, 4-8 week engagement)
  • Competitors: Enterprise pricing (per-interview execution)

USE CASES

  • MPF: Pre-product, pre-raise, finding WHICH market
  • Competitors: Post-product, validating features, scaling research

ENTERPRISE VALIDATION = STARTUP DE-RISKING

All three competitors target ENTERPRISE:

  • Listen Labs: Microsoft, Sweetgreen, Robinhood, Perplexity ($500M valuation)
  • Strella: Amazon, Duolingo, Chobani, Apollo GraphQL
  • Conveo: Unilever, P&G, Google, Sanofi, Orange

What this means:

  • Technology VALIDATED at Fortune 500 scale
  • AI interviews PROVEN with largest brands on earth
  • Adoption risk for startups = ZERO
  • Methodology trusted by most sophisticated research teams

"Microsoft pays $100K+ for systematic discovery.
You pay $5K for the same methodology."

THE OPPORTUNITY

Market Validation

  • ✓ $120M raised proves AI interviews work
  • ✓ Fortune 500 trust AI moderation
  • ✓ Multiple players = massive market

De-Risked for Startups

  • ✓ Zero adoption risk - enterprises trust it
  • ✓ Proven methodology at 1/20th price
  • ✓ Level playing field for founders

Open Gap

  • ✓ No one sells to pre-product founders
  • ✓ No one targets seed-stage startups
  • ✓ Enterprise tools assume existing product

MPF's Position

  • ✓ Enterprise-validated at startup pricing
  • ✓ First purchase before building
  • ✓ Different customer (founders)