Companies · SaaS / Software
Wilmington · DE, USA; Remote · SaaS / Software · founded 2022 · https://karatelabs.io
Diligence memoA one-page analyst read on Karate Labs — recommendation, valuation, rhythm, risks.→Karate Labs: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Karate Labs is one of 381 SaaS / Software companies tracked from Wilmington, DE, 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”
Open-source API & UI test automation
Karate is an open-source unified test automation platform combining API testing, API performance testing, API mocks & UI testing. 1.5 million monthly downloads, used by 500+ companies including 76 of the Fortune 500, are a testimony of Karate removing friction from the developer experience (DX). We did this by making it exceptionally simple to write tests (low code), simulating end-user workflows accurately, re-using API tests as performance tests, parallel execution, and collaboration via Git. Staying true to Karate’s “LOCAL-FIRST” approach (user data remains within the customer's firewall, ensuring security and addressing any concerns), we launched the official Karate plugins (IntelliJ and VS Code) for frictionless onboarding, simplified installations, configuration, and maintenance. Our plugins include all Karate open-source features, including exploring of APIs, and premium features (testing for Async APIs, API documentation, API data importer and more).
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.
Karate Labs 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 |
|---|---|---|---|---|
| Trigger.dev Build and deploy fully‑managed AI agents and workflows | Edtech | — | — | 74% |
| Optic Making APIs Developer-friendly | — | — | — | 73% |
| cubic AI-powered code review platform | AI / ML | — | — | 72% |
| OpenPipe Turn expensive prompts into cheap fine-tuned models | Developer Tools | — | — | 72% |
| Rainforest no-code end-to-end testing that integrates with any CI/CD pipeline | Developer Tools | — | — | 72% |
| Bun Bun is an incredibly fast all-in-one JavaScript toolkit | — | — | — | 72% |
| Tracecat The open source AI-native security automation platform | AI / ML | — | — | 71% |
| SST For whatever you build. | AI / ML | — | — | 71% |
See where Karate Labs sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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