Companies · AI / ML
New York City · NY, USA · AI / ML · founded 2020 · https://explo.co/
Diligence memoA one-page analyst read on Explo — recommendation, valuation, rhythm, risks.→Explo: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Explo is one of 2067 AI / ML companies tracked from New York City, NY, USA, on record since 2020. 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”
Embedded Analytics and Data Sharing Platform
Explo allows you to build customer-facing dashboards and reporting, lightning-fast. With Explo, you can create custom white-labeled dashboards for your application, share custom reports, or embed an AI report builder. - Dashboards: build fully white-labled dashboards for your application or enable your users to create their own dashboards from a library of charts you create - Report Builder: embed a full self-service analytics experience into your application, allowing your users to create their own tables and charts from scratch - Email: cadenced and one off emails to share analytics and data with your users - Explo AI: embed an AI experience into your product to enable your users to gain insights into their data Explo is built for product teams and developers. We power analytics of all sizes from YC companies to Fortune 500 companies.
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.
| 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.
Explo 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 |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | 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.
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|---|---|---|---|---|
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| Auxos Simulations of real people for market research | AI / ML | — | — | 73% |
| Vizly Data to insights in seconds | AI / ML | — | — | 73% |
| Sprites The AI performance marketing agent for entrepreneurs and growth teams | AI / ML | — | — | 73% |
| AtlasGrid Accelerate Product Iteration | AI / ML | — | — | 73% |
| Watto AI AI-powered McKinsey-quality reports in seconds | AI / ML | — | — | 73% |
| o11 Bespoke AI For Financial Firms | AI / ML | — | — | 73% |
| Surface Labs Building the AI-powered marketing ops platform that turns website… | AI / ML | — | — | 73% |
See where Explo sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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