Companies · Fintech
New York · NY, USA · Fintech · founded 2023 · https://dataglade.com
Diligence memoA one-page analyst read on Dataglade — recommendation, valuation, rhythm, risks.→Dataglade: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Dataglade is one of 1063 Fintech companies tracked from New York, NY, USA, on record since 2023. By capital raised it ranks mid-pack (ahead of 66% 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”
The smart way to research stocks.
Dataglade is the smart way to research stocks. Our AI generates clear analyses and financial models for any public company, and our fundamental data fulfills almost every research need. We save investors hours every day by eliminating the need to manually dig through financial filings. Customers trust our reports because every number is backed by citations to our proprietary financial data warehouse. We inform $1+ billion of trades every day, and we’re just getting started. Check us out at dataglade.com.
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 1063 companies in Fintech. 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 66% of sector peers (real $). Modeled value above 66% 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.
Dataglade 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 |
|---|---|---|---|---|---|
| 1stCollab | Fintech | — | — | — | same sector |
| Abacus | Fintech | — | — | — | same sector |
| Absa Bank | Fintech | — | — | — | same sector |
| Accend | Fintech | — | — | — | same sector |
| Accept.inc (formerly BoardRE) | Fintech | — | — | — | same sector |
| Aer | Fintech | — | — | — | same sector |
| Affinity | Fintech | — | — | — | same sector |
| Agent Banking Company | Fintech | Growth/Late | — | — | 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 |
|---|---|---|---|---|
| Patterns Next-Gen Financial Analysis and Reporting with AI Agents | AI / ML | — | — | 80% |
| Centauri AI The Modern ETL and Data Science Platform for Finance | Fintech | — | — | 79% |
| Databricks, Inc. Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform. | AI / ML | Growth/Late | $41.5B | 78% |
| Bayesline Highly customizable and blazingly fast analytics for asset managers. | Fintech | — | — | 77% |
| Secoda Secoda is the AI layer for your Analytics | AI / ML | — | — | 77% |
| Heron Data We automate document-heavy workflows in financial services and beyond | Fintech | — | — | 76% |
| attimet we predict stuff | — | — | — | 75% |
| Benchmark Decision infrastructure for investment firms | Fintech | — | — | 75% |
See where Dataglade sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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