Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2026 · https://manicule.dev
Diligence memoA one-page analyst read on Manicule — recommendation, valuation, rhythm, risks.→Manicule: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Manicule is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2026. 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”
AgentRel — Devrel For Agents
Manicule does AgentRel. We get companies discovered and used by AI agents. Think DevRel, rebuilt for a world where agents make all the decisions. We own developer documentation and technical content across social channels, end-to-end. We've grown 100% MoM over the last three months to $53K in monthly revenue, with customers like Supermemory, Greptile, Reducto, and Mastra. Getting discovered and used by agents is its own job now, and the market for it is broken. The SEO/GEO SaaS tools just show you data like where you rank in AI answers. The agencies are slow and lack know-how with agents. The one person who could own all of it end-to-end, a DevRel, is nearly impossible to hire: our customers have had roles open for months at $300K+ and still can't find anyone good. We solve all these gaps. Naman has been doing fractional DevRel since he was 13, working with companies like PromptLayer, Brightdata, and Courier.com. Shreyans has been building since 14 — he built an AI app that hit App Store Productivity Trending within a month, and was the founding engineer at Supermemory. We met in high school and have built multiple startups together since.
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.
Manicule 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 |
|---|---|---|---|---|
| Wordware AI agents you can rely on | AI / ML | — | — | 79% |
| Redouble AI Java-native multi-agentic AI operating system for enterprise | Pharma | — | — | 78% |
| Persana AI Sales Agents with 100+ data sources to close more deals | AI / ML | — | — | 78% |
| Rhizome AI Agent Platform for Life Sciences | AI / ML | — | — | 77% |
| Superagent Red teaming for AI agents | AI / ML | — | — | 77% |
| throxy Vertical AI agents that run the sales funnel on autopilot | Fintech | — | — | 77% |
| Sprites The AI performance marketing agent for entrepreneurs and growth teams | AI / ML | — | — | 77% |
| Senso Control what AI says about you | AI / ML | — | — | 77% |
See where Manicule sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
If you work at Manicule, 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.