Companies · HR / Worktech
Tel Aviv-Yafo · Tel Aviv District, Israel · HR / Worktech · founded 2018 · https://www.tailor-ed.com/
Diligence memoA one-page analyst read on Tailor-ED — recommendation, valuation, rhythm, risks.→Tailor-ED: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Tailor-ED is one of 63 HR / Worktech companies tracked from Tel Aviv-Yafo, Tel Aviv District, Israel, on record since 2018. By capital raised it ranks in the upper tier (ahead of 79% 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”
AI-powered corporate learning for accelerated employee growth & skill…
Tailor-ED is a cutting edge AI-based learning bot calibrated to provide personalized learning experiences and recommend the best resources for learners. We are reshaping workplace training to meet the demands of a world where technology shifts rapidly and the race for new skills never ends. We help companies deliver workforce training faster, better and cheaper. We achieve this by identifying knowledge gaps and offering a learning assistant with personalized training paths, integrating smoothly into the daily workflow via tools like Slack and Teams.
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 63 companies in HR / Worktech. 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 79% of sector peers (real $). Modeled value above 79% 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.
Tailor-ED 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 |
|---|---|---|---|---|---|
| Agentnoon | HR / Worktech | — | — | — | same sector |
| AirHelp | HR / Worktech | — | — | — | same sector |
| Asteroid | HR / Worktech | — | — | — | same sector |
| Bolto | HR / Worktech | — | — | — | same sector |
| Brainbase Labs | HR / Worktech | — | — | — | same sector |
| BrioHR | HR / Worktech | — | — | — | same sector |
| careCycle | HR / Worktech | — | — | — | same sector |
| CareRev | HR / Worktech | — | — | — | 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 |
|---|---|---|---|---|
| Structured AI AI workforce for Construction Engineering | HR / Worktech | — | — | 77% |
| Tailor Headless ERP for retail operations | AI / ML | — | — | 77% |
| Oximy See and control all AI activity across your enterprise | HR / Worktech | — | — | 75% |
| Codecademy The leading online learning platform for technical skills. | Edtech | — | — | 75% |
| Modus Unlock revenue per employee with AI-powered headcount management | HR / Worktech | — | — | 74% |
| Go1 A learning platform that enables you to train your staff or customers. | Edtech | — | — | 74% |
| Sameday The leading AI workforce for the trades. | HR / Worktech | — | — | 74% |
| Humance AI that keeps complex construction projects on schedule. | AI / ML | — | — | 74% |
See where Tailor-ED sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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