Companies · AI / ML

HyperGlueWinter 2021Acquired

San Francisco · CA, USA; Remote · AI / ML · founded 2022 · https://www.hyperglue.com

Diligence memoA one-page analyst read on HyperGlue — recommendation, valuation, rhythm, risks.→
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Total raised · real
0
Rounds
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Latest step-up
Top 39%
Sector rank · raised
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Latest stage · inferred

HyperGlue: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

Where it sits in AI / ML

HyperGlue is one of 2067 AI / ML companies tracked from San Francisco, CA, USA; Remote, on record since 2022. By capital raised it ranks mid-pack (ahead of 62% of sector peers), and mid-pack 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”

Business intelligence on text

There is more text generated than any one person or team can read. A single product team can not hope to sift through their thousands of feedback responses and determine the signal amongst the noise. Hyperglue enables operators, product managers, and analysts to instantly access machine intelligence on large text datasets without the engineering or headcount overhead required to deploy natural language AI within their business.

B2BMachine LearningNLPai/mldata/analytics
Find HyperGlue online

As reported in public records reported — not modeled.

US
Jurisdiction
Amount raised vs valuation, by round

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.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
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Base estimate est.
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Conservative case
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Upside case
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Modeled post-money

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.

Financing rhythm
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Avg between rounds
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Capital velocity
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On record since
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First round
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Rounds on file
How it compares to the market

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.

Total raised — vs sector median (real $, all stages)
This company—
Sector median$4.7M
Modeled value — vs sector median (estimate, all stages)
This company—
Sector median$27.9M

Raised more than 62% of sector peers (real $). Modeled value above 62% of peers (estimate).

Full financing history

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.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
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Modeled next raise
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Modeled next size est.
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Last step-up
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Capital velocity

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.

Registry & provenance

HyperGlue is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

United States
Country of record
US
Jurisdiction
Similar companies

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.

CompanySectorStageRaised · realValue · estWhy similar
100xAI / ML———same sector
14.aiAI / ML———same sector
21stAI / ML———same sector
AbsurdAI / ML———same sector
AemonAI / ML———same sector
AetherAI / ML———same sector
AfterQueryAI / ML———same sector
AgentMailAI / ML———same sector
Semantically similar

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.

CompanySectorStageValue · estMatch
Hyperspell
Your Company Brain
AI / ML——78%
Hyperbound
Revenue Activation Platform
AI / ML——78%
superglue
AI that fixes enterprise glue
AI / ML——77%
Hypercubic
Agentic AI for Mainframe Operations and Modernization
Insurance——77%
Sapling.ai
Language models for enterprise applications.
AI / ML——76%
Hyper
Sell memberships to your Discord server
AI / ML——76%
Cloudglue
The video context layer for AI.
AI / ML——75%
hotglue
Native user-facing SaaS integrations for your customers
SaaS / Software——74%
Frequently asked
What does HyperGlue do and where is it based?
HyperGlue operates in the AI / ML sector, based in San Francisco, CA, USA; Remote. Business intelligence on text
Explore related

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

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