People.aiSummer 2016Active☆Watch⊞Compare

People.ai is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2016. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack 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”

Harnesses business activity to unlock growth.

People.ai accelerates enterprise growth through the power of AI. Founded in 2016 on the premise that AI and machine learning technologies can help automate CRM functions that humans often leave behind, it has grown into a platform that powers actionable insights across go-to-market functions. The platform has become the cornerstone of decision-making for enterprises such as Zoom, PTC, and Hexagon PPM, eliminating guesswork to create an unprecedented level of intelligence for those and other businesses looking to grow and thrive in a competitive digital landscape. People.ai does this by automating the ingestion of GTM data from primary sources like email systems. We then translate this information into actionable insights that help sellers, marketers, and operations leaders deliver more pipeline growth that leads directly into revenue and margin growth. We call it our next-generation revenue engine, which helps companies accelerate opportunities and close deals faster.

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.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% of peers (estimate).

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.

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.

People.ai 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.

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.

See where People.ai sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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