Sigma Computing, Inc.☆Watch⊞Compare

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.

Sigma Computing, Inc. is one of 2067 AI / ML companies tracked from SAN FRANCISCO. 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”

Our mission is to remove the barriers that prevent people from analyzing data by delivering the full spectrum of self-service cloud analytics and BI.

Our mission is to remove the barriers that prevent people from analyzing data by delivering the full spectrum of self-service cloud analytics and BI. Sigma is where analytics becomes execution. Explore live data, then take action with writeback, approvals, and automated steps powered by AI. Everything stays connected to the warehouse and governed end-to-end. Sigma goes beyond analytics, letting your team build intelligent, interactive applications directly on your cloud data warehouse, no engineering required. We're honored to be backed by a group of incredibly insightful investors Stop buying a new tool for every workflow. Build it once on governed data, then scale it across the business. © 2026 Sigma Computing. All rights reserved.

Trades publicly as Sigma.

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.

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 #6 of 11.

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.

Step-up, pace versus the sector's normal cadence, and revenue/exemption moves — read straight from the reported round facts reported.

1. Series A$8.0M2014-04-15
   • First recorded raise — entered as Series A.
   • 31 investors on this round.
2. Series B$20.0M2017-12-20
   • Raised again after 44 mo — slower than the ~11 mo sector norm.
   • Round 2.5× larger than the prior — scaling up.
   • 27 investors on this round.
3. Series B$30.0M2019-07-01
   • Raised again after 18 mo — slower than the ~11 mo sector norm.
   • Round 1.5× larger than the prior — scaling up.
4. Series B$8.3M2021-04-05
   • Raised again after 21 mo — slower than the ~11 mo sector norm.
   • Round 3.6× smaller than the prior — bridge or down round.
   • 23 investors on this round.
5. Series B$15.0M2021-09-10
   • Came back fast: 5 mo vs the ~11 mo sector norm.
   • Round 1.8× larger than the prior — scaling up.
   • 23 investors on this round.
6. Series D+$340.0M2021-11-18
   • Came back fast: 2 mo vs the ~11 mo sector norm.
   • Round 22.7× larger than the prior — scaling up.
   • 63 investors on this round.
7. Series D+$300.0M2021-11-18
   • Filed alongside the prior round (same month) — likely a tranche or amendment.
   • Round roughly the size of the prior one.
   • 50 investors on this round.
8. Series D+$254.0M2024-04-05
   • Raised again after 29 mo — slower than the ~11 mo sector norm.
   • Round roughly the size of the prior one.
   • 35 investors on this round.
9. Series D+$264.0M2024-04-05
   • Filed alongside the prior round (same month) — likely a tranche or amendment.
   • Round roughly the size of the prior one.
   • 36 investors on this round.

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.

Sigma Computing, 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.

Discovered from sigmacomputing — the partnerships, launches, hiring and press it publishes about itself. Evidence the company is alive and what it is doing now, not financial data.

• UpdateManufacturing FP&A Portal
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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 Sigma Computing, Inc. sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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