RecidivizSummer 2019Active☆Watch⊞Compare

Recidiviz is one of 46 Govtech / Public Sector companies tracked from New York, NY, USA, on record since 2019. By capital raised it ranks in the upper tier (ahead of 76% 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”

Helping create a smaller, fairer, safer justice system

Recidiviz is a non-profit technology company that drives meaningful changes in criminal justice systems and improved outcomes for justice-impacted individuals. Criminal justice data today is inefficient and ineffective: researchers, advocates, policymakers and practitioners each need funding and time for data collection and cleaning (for almost any data at all), and most data collected is too stale by the time it’s compiled to be useful. Recidiviz has built an open-source platform to ingest data from across data silos, link it, standardize it, and expose it in usable formats to the ecosystem. We provide products and analyses on top of this platform to help government agencies understand how their justice systems are functioning, set and track progress towards goals, drive evidence-based improvements to practice and policy, and ensure justice-impacted folks reenter their communities as safely and quickly as they can.

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 46 companies in Govtech / Public Sector. 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 76% of sector peers (real $). Modeled value above 76% 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.

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.

Recidiviz 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.

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.

See where Recidiviz sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Recidiviz, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.