+80%

est. 2Y upside i

HR TechSeries B

Rank

#910

Sector

AI Workforce / AI Agents

Est. Liquidity

~4Y

Data Quality

Data: Low

Relevance AI is a high-velocity Series B with 334% YoY ARR growth, Bessemer backing, and proven blue-chip enterprise logos — a genuinely exciting set of fundamentals.

Last updated: May 14, 2026

Bull (28%)+250%

Relevance AI sustains its 334% YoY trajectory for another 12–18 months, crossing $80–100M ARR by late 2027, and attracts a strategic acquisition or Series C at $900M–$1B+ enterprise value. From an estimated $250M current valuation, employee common stock nets roughly 250% upside after one dilutive round of ~20%.

Base (42%)+70%

Growth decelerates to 80–120% YoY as the AI agent market matures and incumbent platforms erode the TAM, bringing ARR to ~$45–55M by end-2027 and supporting a Series C at $450–600M. After ~20% dilution from the next round, the 2-year mark-to-market gain on employee equity is approximately 70%.

Bear (30%)-65%

OpenAI Agents, AWS Bedrock Agents, and Google Vertex AI Agent Builder commoditize low-code agent orchestration, stalling growth at 30–50% YoY and leaving Relevance AI with ~$22–25M ARR and a flat-to-down Series C at $100–150M. With $37M in liquidation preferences ahead of common stock, employee equity in this scenario suffers approximately 65% downside.

Est. time to liquidity~4.0 years

Preference Stack Risk

moderate

Funding Intensity

15%

Total funding of $37M against an estimated valuation of ~$250M implies a ~14.8% preference overhang — squarely in the moderate band, but would shift to high if the actual Series B valuation is below $185M.

Dilution Risk

high

With profitability unknown and a $24M Series B as the most recent capital event, a Series C within 18–24 months is likely, and each future round typically dilutes common stock 15–25%, compounding to 30–40% by the realistic exit window.

Secondary Liquidity

limited

As a private Australian-headquartered company at Series B, meaningful secondary market access on platforms like Forge or Nasdaq Private Market is unlikely; equity should be treated as fully illiquid for at least 3–5 years absent an acquisition.

R&D — 13 roles

S&M — 7 roles

G&A — 1 role

View all 21 open roles at Relevance AI →

Last updated: March 10, 2026

Questions to Ask at the Interview

Strategic questions based on Relevance AI's data — designed to show you've done your homework.

  • 1

    “How does Relevance AI's low-code orchestration layer maintain defensibility as OpenAI's Assistants API and cloud-native agent services commoditize the baseline tooling — is the moat in proprietary connectors, multi-agent workflow state management, or customer data lock-in?”

  • 2

    “What is the current net revenue retention rate, and what share of ARR is consumption-based versus seat-based — specifically, how volatile is the credit/consumption cohort revenue month-to-month?”

  • 3

    “At what valuation was the Series B priced, what are the specific liquidation preferences on the full $37M of cumulative funding, and does the company expect to reach cash-flow breakeven before needing a Series C?”

Community

Valuation Sentiment

Our model estimates +80% upside. What do you think?

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Disclaimer: This analysis is AI-generated and does not constitute financial or career advice. Always conduct your own due diligence.