Companies · Data / Analytics
Paris · Île-de-France, France · Data / Analytics · founded 2021 · https://whaly.io
Diligence memoA one-page analyst read on Whaly — recommendation, valuation, rhythm, risks.→Whaly: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Whaly is one of 41 Data / Analytics companies tracked from Paris, Île-de-France, France, on record since 2021. By capital raised it ranks in the upper tier (ahead of 76% of sector peers), and in the upper tier 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”
Whaly is building a self-service analytics platform
Whaly helps data teams save time on maintenance and analysis building while making business users more autonomous on the analysis they want to improve their decision making. We do this by providing a self service data platform where both data and business teams can work together. We understood that most data teams were ending up being a bottleneck for the rest of the company and needed to give more autonomy to business teams to back their decisions with data. Emilien, Florian and Pierre were the minds behind the Data advertising platforms of the major media and e-commerce companies in France in their earlier position as Product Manager and head of Customer Success, giving them an edge on how to execute successfully a data project.
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 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 76% of sector peers (real $). Modeled value above 76% 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.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
Whaly 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 |
|---|---|---|---|---|---|
| Artie, Inc. | Data / Analytics | Series B | $36.0M | $742.0M | same sector |
| BeatDeck | Data / Analytics | — | — | — | same sector |
| Big Data Analytics, Inc. | Data / Analytics | Pre-Seed | $252K | $11.4M | same sector |
| Bracket | Data / Analytics | — | — | — | same sector |
| Brewit | Data / Analytics | — | — | — | same sector |
| Briefer | Data / Analytics | — | — | — | same sector |
| CareerTu | Data / Analytics | — | — | — | same sector |
| Castled.io | Data / Analytics | — | — | — | same sector |
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 |
|---|---|---|---|---|
| IOMETE Self-hosted data lakehouse platform | AI / ML | — | — | 74% |
| Dataglade The smart way to research stocks. | Fintech | — | — | 73% |
| Clidey Turn scattered data into one platform for decision-making | SaaS / Software | — | — | 72% |
| Honeydew The home for shared data logic | SaaS / Software | — | — | 72% |
| Findly Co-pilot for Business Intelligence | AI / ML | — | — | 72% |
| Sigma Computing, Inc. Our mission is to remove the barriers that prevent people from analyzing data by delivering the full spectrum of self-service cloud analytics and BI. | AI / ML | Series D+ | $3.4B | 72% |
| Dome A unified API for prediction markets, like Kalshi and Polymarket | — | — | — | 72% |
| Moby Analytics AI financial auditors | AI / ML | — | — | 72% |
See where Whaly sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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