Companies · AI / ML
READING · AI / ML · refined from filed group “Other” · https://snyk.io/
Diligence memoA one-page analyst read on Snyk Ltd — recommendation, valuation, rhythm, risks.→Snyk Ltd looks fair against its niche peers and is at-risk on financing cadence.
Synthesized from the figures below est. — every claim rests on a number shown on this page. Valuation uses the ai/ml 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.
Snyk Ltd is one of 2067 AI / ML companies tracked from READING. By capital raised it ranks among the largest (ahead of 99% of sector peers), and among the largest 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”
Snyk is the AI Security Fabric — the independent validator that makes AI-generated code, AI agents, and AI-native applications trustworthy. Unleash AI innovation securely.
Snyk is the AI Security Fabric — the independent validator that makes AI-generated code, AI agents, and AI-native applications trustworthy. Unleash AI innovation securely. An independent security layer that continuously validates AI-generated code, governs development agents, and secures AI-native applications—so organizations can move fast with AI without losing control. Machine-speed threats have eliminated the luxury of backlog. AI attacks chain multiple vulnerabilities autonomously — no human in the loop. What used to be a contained vulnerability becomes a full platform compromise before an analyst finishes reading the alert. 65–70% of production code is now AI-generated — and nearly half contains vulnerabilities. AI agents write code, invoke tools, and commit changes with no security checkpoint between inception and production. Security debt is accumulating at machine speed and shrinking at human speed. Security teams have no inventory of the models, workflows, or agents running in production. AI-native components are embedded everywhere — and you cannot enforce policy, pass an audit, or respond to an incident for systems you didn't know existed. Snyk is how organizations answ
Trades publicly as Snyk.
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). No record for: Pre-Seed, Seed, Series A, Series B — the company may have raised it under a different exemption, merged it into an adjacent record, or skipped it. Sequence completeness: 33%.
Round size and date are reported; the stage label is inferred from round size (latest is Series D+ — a $100M–$400M round). Valuation is modeled from stage benchmarks scaled by the ai/ml sector profile. Directional, not a quoted figure.
Benchmarked against 2067 companies in AI / ML. 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 99% of sector peers (real $). Modeled value above 99% of peers (estimate).
A tighter cohort than the sector chart above — only companies at the same stage (Series D+) that last raised in the same ~3-year era, ranked by modeled value est. (not money raised). This is the exact set the analyst read compares against, so a like-for-like cohort is what makes "over/under-valued" meaningful. This company ranks #4 of 11.
| Company | Stage | Raised · real | Value · est | vs peer med. |
|---|---|---|---|---|
| Inflection Ai, Inc. | Series D+ | $225.0M | $5.4B | 1.57× |
| Shield AI Inc | Series D+ | $452.7M | $4.5B | 1.31× |
| Magic AI, Inc. | Series D+ | $466.2M | $4.3B | 1.27× |
| Snyk Ltd this company | Series D+ | $799.9M | $3.9B | 1.14× |
| Vendr, Inc. | Series D+ | $272.2M | $3.5B | 1.02× |
| Sigma Computing, Inc. | Series D+ | $675.3M | $3.4B | 1.00× |
| AI Software, LLC | Series D+ | $266.0M | $2.9B | 0.84× |
| Klaviyo, Inc. | Series D+ | $621.0M | $2.2B | 0.65× |
| AutoLab AI, Inc. | Series D+ | $234.9M | $1.7B | 0.51× |
| Cresta Intelligence Inc. | Series D+ | $125.0M | $1.5B | 0.43× |
| Tractian Ltd | Series D+ | $122.9M | $1.4B | 0.40× |
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. |
|---|---|---|---|---|---|
| Series C | $100.0M | 2020-08-25 | $666.7M | $3.9B | 90% |
| Series D+ | $175.0M | 2021-03-03 | $1.5B | $5.9B | 90% |
| Series D+ | $24.1M | 2021-06-11 | $200.8M | $749.7M | 90% |
| Series D+ | $304.3M | 2021-09-02 | $2.5B | $8.9B | 90% |
| Series D+ | $196.5M | 2022-12-12 | $1.6B | $3.9B | 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 |
|---|---|---|---|
| Ping Li | — | 12 other | 2021-06 |
| Peter McKay | — | 3 other | 2020-08 |
| Philippe Botteri | — | 3 other | 2020-08 |
| Ken Fox | — | 2 other | 2020-08 |
| Guy Podjarny | — | 1 other | 2020-08 |
| Ken MacAskill | — | 1 other | 2022-12 |
| Michael Scarpelli | — | 1 other | 2021-06 |
| Zachary Nelson | — | 1 other | 2022-12 |
| Kathleen Murphy | — | — | 2022-12 |
| Matthew Weigand | — | — | 2020-08 |
| Sanjay Poonen | — | — | 2022-12 |
| Stephanie Dominy | — | — | 2020-08 |
| Tamar Yehoshua | — | — | 2021-06 |
Snyk Ltd is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Discovered from snyk — the partnerships, launches, hiring and press it publishes about itself. Evidence the company is alive and what it is doing now, not financial data.
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 |
|---|---|---|---|---|---|
| Klaviyo, Inc. | AI / ML | Series D+ | $621.0M | $2.2B | network1 shared operator · same sector · same stage |
| Tanium Inc. | AI / ML | Series D+ | $911.8M | $5.8B | same sector · same stage |
| Sigma Computing, Inc. | AI / ML | Series D+ | $675.3M | $3.4B | same sector · same stage |
| Highspot, Inc. | AI / ML | Series D+ | $653.8M | $6.5B | same sector · same stage |
| UiPath, Inc. | AI / ML | Growth/Late | $2.0B | $27.3B | network1 shared operator · same sector |
| Counsel AI Corp | AI / ML | Series D+ | $490.8M | $3.1B | same sector · same stage |
| Celestial AI Inc. | AI / ML | Series D+ | $482.0M | $1.5B | same sector · same stage |
| Docusign, Inc. | AI / ML | Series D+ | $476.5M | $1.5B | same sector · 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 |
|---|---|---|---|---|
| MindFort Autonomous Security Agents | AI / ML | — | — | 77% |
| Naïve Agent Infrastructure as Code | Regtech | — | — | 77% |
| CodeAnt AI Autonomous offensive and defensive security platform | Cybersecurity | — | — | 76% |
| Opslane Verify AI-generated code before you ship it | AI / ML | — | — | 75% |
| Amika Infra to build your own software factory | AI / ML | — | — | 75% |
| Tusk AI agent that generates unit and integration tests | AI / ML | — | — | 75% |
| SafetyKit, Inc. AI agents for risk, compliance, and safety | Fintech | Series B | $155.4M | 75% |
| Dataleap AI Employees for the Enterprise | AI / ML | — | — | 75% |
See where Snyk Ltd sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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