Companies · Regtech
SEATTLE · CA, USA · Regtech · refined from filed group “Other” · founded 2024 · https://www.riveterhq.com/
Diligence memoA one-page analyst read on Riveter Inc — recommendation, valuation, rhythm, risks.→Riveter Inc has raised $22M over 4 rounds; too few niche peers to rank its valuation yet.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the regtech sector profile.
Analyst read est. — computed against this company's niche peers in the same era. Inputs shown; not a quoted figure.
No named principal in this company's public records yet — see all operators below.
Explore how these operators interlock with other companies in the operator network.
Riveter Inc is one of 29 Regtech companies tracked from SEATTLE, CA, USA, on record since 2024. 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”
Turn the web into structured data
Riveter fully automates web data extraction, end to end. With a single API, agents can search, scrape, and structure data from the web. Customers like Snapchat and OpenAI use us to enrich datasets using Riveter's AI search agents that combine data from the web with third party or internal data. Their AI agents, custom scrapers, and integrations pack the power of browser use and automation for search, at a cost that allows for scale. You can even create a custom data API for repeated searches live in your app or internal databases. Perplexity and ChatGPT are great for single questions, but they can’t handle large amounts of data at once. And they’re working with a single agent and context window instead of one in every cell. And Riveter’s web browsing can go further—even reading PDFs and images that may contain answers. Most teams still spend hours (or hire UpWorkers/contractors) to manually copy product specs, check competitor pricing, pull custom KYB/KYC data to assess customer risk, or scrape filings. Or they spend months building web scrapers, and when that still doesn't work, they come to Riveter. Our founding team (Cody Watters - CTO, Abby Grills, CEO) brings deep product and engineering expertise from to YC-backed companies Gusto, Retool, and Middesk.
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.
The line shows cumulative reported funding over the period; + labels show new capital added between points when there is room. Toggle on-bar figures, plus the niche-peer and market averages, to read this company against its cohort. Benchmarks are modeled medians.
Stages are modeled from round size (public records carry no series label). Ladder is contiguous — every modeled rung has a record.
Round size and date are reported; the stage label is inferred from round size (latest is Series A — a $4.0M–$15M round). Valuation is modeled from stage benchmarks scaled by the regtech sector profile. Directional, not a quoted figure.
Benchmarked against 29 companies in Regtech. 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. |
|---|---|---|---|---|---|
| Pre-Seed | $720K | 2017-01-13 | $4.0M | $25.9M | 90% |
| Pre-Seed | $550K | 2017-01-13 | $3.1M | $19.8M | 90% |
| Seed | $1.2M | 2017-07-21 | $6.0M | $34.7M | 90% |
| Series A | $5.5M | 2018-03-06 | $24.9M | $128.7M | 90% |
| Series A | $14.3M | 2018-12-06 | $65.2M | $337.6M | 90% |
Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.
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.
Officers, directors and promoters named in this company's public recordsreported — the people who run it (not its investors). "Also runs" counts come from name-matching across all records, so verify before acting.
| Person | Role | Also runs | Tied since |
|---|---|---|---|
| John Zagula | — | 4 other | 2018-12 |
| Hope Cochran | — | 3 other | 2017-01 |
| Nick Grouf | — | 2 other | 2018-12 |
| Amy Nelson | — | 1 other | 2017-01 |
| Kim Peltola | — | — | 2017-01 |
Riveter Inc 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 |
|---|---|---|---|---|---|
| Mindee Inc | Regtech | Series A | $18.0M | $60.6M | same sector · same stage |
| Strike Graph, Inc. | Other Technology | Series A | $18.1M | $54.2M | network1 shared operator · same stage |
| Contactable | Regtech | Series A | $13.5M | $44.1M | same sector · same stage |
| Anzen Technologies, Inc. | Software / Tech | Series A | $14.1M | $57.4M | network1 shared operator · same stage |
| Regology, Inc. | Regtech | Series A | $7.7M | $128.2M | same sector · same stage |
| Smile Identity | Regtech | Series A | $7.0M | $112.0M | same sector · same stage |
| Enclarity Inc | Hospitals and Physicians | Series A | $5.5M | $103.2M | network1 shared operator · same stage |
| Novel Effect, Inc. | Other Technology | Series A | $4.2M | $116.9M | network1 shared operator · same stage |
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 |
|---|---|---|---|---|
| Reworkd The simplest way to extract web data at scale | AI / ML | — | — | 77% |
| The Hog Real-time web intelligence API for AI agents and GTM teams | AI / ML | — | — | 76% |
| Hyperbrowser Web infra for AI agents | AI / ML | — | — | 76% |
| Rivet Open-Source alternative to Durable Objects | AI / ML | — | — | 75% |
| Fiber AI The freshest data APIs for AI sales, recruiting, & growth products | AI / ML | — | — | 75% |
| Captain Give AI agents accurate knowledge search that scales | AI / ML | — | — | 74% |
| Browser Use Leading open-source web agent project with 50k stars in 3 months | AI / ML | — | — | 74% |
| kater.ai Deliver complete data analysis from a single question | AI / ML | — | — | 73% |
See where Riveter Inc sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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