Companies · SaaS / Software
San Francisco · CA, USA; Rochester, MN, USA; Remote · SaaS / Software · founded 2022 · https://search-artemis.com/
Diligence memoA one-page analyst read on Artemis Search — recommendation, valuation, rhythm, risks.→Artemis Search: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Artemis Search is one of 381 SaaS / Software companies tracked from San Francisco, CA, USA; Rochester, MN, USA; Remote, on record since 2022. By capital raised it ranks in the upper tier (ahead of 86% 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”
A search technology that actually finds what you’re looking for.
Artemis Search is a vector database search with a twist. We use special-purpose deep-learning models instead of using textual / semantic similarity to evaluate how good a search result is. This enables us to actually reason how well search results match the intent of the search query, eliminating the problems that come from evaluating search results on how much they look like the search query.
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 381 companies in SaaS / Software. 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 86% of sector peers (real $). Modeled value above 86% 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.
Artemis Search 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 |
|---|---|---|---|---|---|
| 42 | SaaS / Software | — | — | — | same sector |
| 500Friends | SaaS / Software | — | — | — | same sector |
| Abbot | SaaS / Software | — | — | — | same sector |
| Actiondesk | SaaS / Software | — | — | — | same sector |
| Advantage Club | SaaS / Software | — | — | — | same sector |
| Aerotime | SaaS / Software | — | — | — | same sector |
| AgendaPro | SaaS / Software | — | — | — | same sector |
| Airshared | SaaS / Software | — | — | — | 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 |
|---|---|---|---|---|
| Confluence Labs AI models that learn from experience | AI / ML | — | — | 74% |
| Vector Management Holdings, LLC Advertising for the new internet | SaaS / Software | Pre-Seed | $726K | 73% |
| AthenaHQ Be the Answer in AI Search - AI SEO across SEO, GEO & AEO | AI / ML | — | — | 73% |
| Artemis Group Inc. | Other Technology | Pre-Seed | $1.6M | 73% |
| Geostar Geostar drives inbound for companies through search. | AI / ML | — | — | 73% |
| Anglera AI-Powered Product Data Enrichment | AI / ML | — | — | 72% |
| LanceDB Open-source, serverless vectordb for production-scale generative AI | AI / ML | — | — | 72% |
| GetDot Your AI Data Analyst | AI / ML | — | — | 72% |
See where Artemis Search sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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