Companies · AI / ML
San Francisco · CA, USA; New York, NY, USA; Jacksonville, FL, USA; Remote · AI / ML · founded 2023 · https://linkgrep.com
Diligence memoA one-page analyst read on LinkGrep — recommendation, valuation, rhythm, risks.→LinkGrep: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
LinkGrep is one of 2067 AI / ML companies tracked from San Francisco, CA, USA; New York, NY, USA; Jacksonville, FL, USA; Remote, on record since 2023. 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”
AI browser copilot for teams
Modern teams work in the browser. But browsers weren't built for teams 😔. This leads to a bunch of problems like: - Knowledge/info that is hard to find (links that get lost, documentation that gets, buried, silos, etc) - Poor collaboration - Inefficient workflows LinkGrep is an AI browser copilot that solves those problems by making your browser team friendly. Specifically we help teams: 1. 🔗 Keep track of links, documents, and more automatically. With LinkGrep you'll never have to manually add or save a link. 2. 🔍 Find information that matters. LinkGrep connects with your existing tools like Notion and Slack and will automatically suggest relevant information to you as your browse (we have semantic search that you can fallback on). Demo: https://youtu.be/jwcPGDRy4oQ 3. 👥 Collaborate better. LinkGrep lets you leave notes and comments directly on web pages — you won't ever have to copy paste a link into Slack ever again. 4. 🤖 Automate team actions like opening up the right links before a meeting. Never disrupt a meeting to send a link again. Demo: https://youtu.be/an3VKpAWft0
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 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 62% of sector peers (real $). Modeled value above 62% 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. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
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.
LinkGrep 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 |
|---|---|---|---|---|---|
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Aemon | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Agentic Labs | AI / ML | — | — | — | same sector |
| Ai Aiba | AI / ML | — | — | — | same sector |
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 |
|---|---|---|---|---|
| BaseFrame Detect what AI can automate for your team | AI / ML | — | — | 75% |
| StableBrowse Browser Layer for AI agents | AI / ML | — | — | 74% |
| Tiptap The open-source document editor for humans and AI agents. | AI / ML | — | — | 74% |
| OneGrep AI Agent for DevOps Workflow Automation | Public Safety & Security | — | — | 73% |
| Helonic Automatic Construction Drawing Clash Detection | — | — | — | 73% |
| GoLinks Intuitive, easy-to-remember short links - powered by AI. | AI / ML | — | — | 73% |
| Glue The Interface Design Canvas for AI agents | AI / ML | — | — | 73% |
| Waydev AI Track AI-generated code from commit to production | AI / ML | — | — | 73% |
See where LinkGrep sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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