Companies · Data / Analytics
SAN FRANCISCO · CA, USA · Data / Analytics · refined from filed group “Other Technology” · founded 2012 · https://www.lever.co/
Diligence memoA one-page analyst read on Lever, Inc. — recommendation, valuation, rhythm, risks.→Lever, Inc. has raised $69M over 2 rounds; too few niche peers to rank its valuation yet.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the data/analytics sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Lever, Inc. is one of 41 Data / Analytics companies tracked from SAN FRANCISCO, CA, USA, on record since 2012. By capital raised it ranks among the largest (ahead of 98% of sector peers), and among the largest by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
Talent Acquisition Suite that combines ATS + Talent CRM
Lever is one of the most recognized brands in talent acquisition software for high growth companies. We enable teams to post jobs, source, interview, and hire top talent. We've combined ATS & CRM into a single platform, Lever TRM. Our Talent Acquisition Suite also includes tools for recruitment marketing and analytics: Lever Nurture, Lever Advanced Analytics, and Lever Data Warehouse Sync. Our customers include Netflix, KPMG, Spotify, Talend, Cirque du Soleil, and over 5000 other customers. Lever has raised $123 million in funding from Apax Digital, Adam Street Partners, Scale Venture Partners, Matrix Partners, and Y Combinator among others. With an overall gender ratio of 50:50, Lever is also fiercely committed to building a team culture that celebrates diversity and inclusion. For more information, visit https://www.lever.co/.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). No record for: Pre-Seed, Seed, Series A — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 40%.
Round size and date are reported; the stage label is inferred from round size (latest is Series C — a $40M–$100M round). Valuation is modeled from stage benchmarks scaled by the data/analytics sector profile. Directional, not a quoted figure.
Benchmarked against 41 companies in Data / Analytics. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 98% of sector peers (real $). Modeled value above 98% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series C) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful.
Not enough valued peers in this cohort to chart positioning.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Gro Intelligence, Inc. | Series C | $87.9M | $2.4B | 1.37× |
| Lever, Inc. this company | Series C | $69.1M | $1.1B | 0.63× |
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| Series B | $19.1M | 2016-01-19 | $106.1M | $620.1M | 85% |
| Series C | $50.0M | 2021-11-04 | $333.3M | $1.1B | 90% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| Dana Stalder | — | 8 other | 2021-11 |
| Stacey Bishop | — | 8 other | 2016-01 |
| Fred Wang | — | 5 other | 2021-11 |
| Dana Stadler | — | — | 2016-01 |
| David Hollady | — | — | 2021-11 |
| Mia Hegazy | — | — | 2021-11 |
| Nathaniel Smith | — | — | 2016-01 |
| Sarah Nahm | — | — | 2016-01 |
Lever, Inc. is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| Gro Intelligence, Inc. | Data / Analytics | Series C | $87.9M | $2.4B | same sector · same stage |
| Fuzzy Pet Health, Inc. | Healthtech | Series C | $66.1M | $775.9M | network1 shared operator · same stage |
| Aryaka Networks, Inc. | Other Technology | Series C | $82.2M | $1.6B | network1 shared operator · same stage |
| Demandbase, Inc. | Other Technology | Series C | $108.2M | $1.5B | network1 shared operator · same stage |
| ThreatQuotient, Inc. | Other Technology | Series B | $75.1M | $76.1M | network1 shared operator |
| Nexusbird, Inc | Other Technology | Series B | $60.1M | $280.8M | network1 shared operator |
| Digital Shadows, Inc. | Software / Tech | Series B | $54.5M | $307.6M | network1 shared operator |
| Cyphort Inc. | Other Technology | Series B | $53.7M | $913.7M | network1 shared operator |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| Levers Automating collection and boosting cashflow for B2B companies | Fintech | — | — | 76% |
| Gem Talent engagement platform | SaaS / Software | — | — | 75% |
| HireSweet A talent acquisition software built for data-driven recruiting teams. | — | — | — | 74% |
| Crew Next Gen ATS/CRM for Modern Recruitment Agencies | AI / ML | — | — | 73% |
| Talentdrop Your personal hiring page. | SaaS / Software | — | — | 73% |
| 42 Analytics stack for omnichannel retailers and brands | SaaS / Software | — | — | 73% |
| Amplitude, Inc. Digital Analytics Platform | AI / ML | Series D+ | $6.3B | 72% |
| Candidately The digital storefront for staffing and recruiting teams. | AI / ML | — | — | 72% |
See where Lever, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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