San Francisco · CA, USA · founded 2026 · https://www.tryglen.com/
Diligence memoA one-page analyst read on Glen — recommendation, valuation, rhythm, risks.→Glen: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
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”
Unified organizational context for agents and humans
Glen is unified context for every agent and human on your team. Most MCP tools hand an agent a slice, one Slack thread, a single diff, and leave it to stitch the rest together itself. Glen reads from where your work already lives, code and PRs, issues, docs, and meetings, reconciles it, and gives your agents the full picture instead. With Glen a coding agent knows why a line was written, not just what it says. Ask a PR assistant anything about a change and the clarifying-question relay disappears. Bug bots read the intent behind the code before they comment, so they stop flagging deliberate choices as defects and stop repeating mistakes they already made. A sales agent can coach your head of sales off the full account history, how teammates handle similar calls, what was promised, where the deal stalled, etc. As the work gets done, Glen also distills it into skills and offers them back to the next agent, or person, who hits the same task.
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 8525 companies in this sector. 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 96% of sector peers (real $). Modeled value above 96% 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.
Glen is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
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 |
|---|---|---|---|---|
| The Context Company Monitor AI agents and understand user behavior | AI / ML | — | — | 78% |
| Armature Armature builds, monitors and optimizes products' Agent Experience. | AI / ML | — | — | 76% |
| Tasklet Agents that own the work | AI / ML | — | — | 76% |
| Humwork Human experts as API for AI Agents | AI / ML | — | — | 75% |
| Scope We help software companies get discovered and used by AI agents | AI / ML | — | — | 75% |
| Nessie A shared context layer for you, your team, and your agents. | AI / ML | — | — | 75% |
| Command AI AI-powered user assistance platform | AI / ML | — | — | 75% |
| Kinect The AI-Native Commerce Stack | AI / ML | — | — | 74% |
See where Glen sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
If you work at Glen, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.
Is this your company? Update your profile or add contact details — and choose exactly who can reach you. Reviewed before anything is published.