Companies · HR / Worktech
Bengaluru · KA, India · HR / Worktech · founded 2022 · https://www.compup.io
Diligence memoA one-page analyst read on CompUp — recommendation, valuation, rhythm, risks.→CompUp: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
CompUp is one of 63 HR / Worktech companies tracked from Bengaluru, KA, India, on record since 2022. 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”
Building a compensation graph to help companies optimise people spend
With over 500M white-collared job offers rolled out annually, companies find it very difficult to be certain about what to offer. Companies rely on old compensation survey data, which are updated only once every year. The salary expectations of candidates in the market change significantly on a quarterly basis (~7% statistically) in the startup ecosystem. This results in more than 50% of qualified/selected candidates not joining the company due to expectation mismatch. CompUp is an API-driven compensation benchmarking tool. We integrate with your existing HR/payroll systems, removing the need for manual data entry, and also getting updated in real-time. CompUp provides the most accurate real-time compensation benchmarking data which helps you make the right offer to the candidate. The platform allows you to make better compensation decisions such as annual increments, candidate offers using internal and external data. This has the following advantages : - All the process of compensation data submission is automatic and needs no manual intervention - Since the job market is dynamic in nature, the offers made on CompUp's real-time benchmarks would be the most efficient - The presentation of the offer to the candidate makes it look more appealing and explanatory to the candidate
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.
CompUp 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 |
|---|---|---|---|---|
| Workpay Payroll, compliance, benefits, and Employer of Record services for… | Fintech | Seed | $69.9M | 73% |
| SalaryBox Gusto for India | HR / Worktech | — | — | 71% |
| BrioHR All-in-one HR management platform for SMEs | HR / Worktech | — | — | 71% |
| Onfolk Gusto for the UK | HR / Worktech | — | — | 71% |
| NewCraft Universal API for HR & Payroll | HR / Worktech | — | — | 70% |
| Zenefits HR for small businesses: onboarding, payroll and benefits. | Insurance | — | — | 70% |
| Kombo Unified API for HR, payroll and recruiting software | HR / Worktech | — | — | 70% |
| FirstWork Rippling for seasonal workers | Insurance | — | — | 70% |
See where CompUp sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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