Companies · AI / ML
San Francisco · CA, USA · AI / ML · founded 2023 · https://useinari.com
Diligence memoA one-page analyst read on Inari — recommendation, valuation, rhythm, risks.→Inari: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Inari is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, 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”
Your junior AI product manager
Inari automatically surfaces actionable insights and product opportunities from your customer feedback, CRM, and backlog. Instead of sifting through 1000’s of sales calls, support tickets, and customer feedbacks manually, Inari automates the process of extracting useful quotes, surfacing customer insights and product opportunities, then linking insights and issues with your CRM and backlog so your team can spend less time analyzing and more time building products that customers love.
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.
Inari 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 |
|---|---|---|---|---|
| ScopeAI Automatically extract valuable insights from customer service… | AI / ML | — | — | 79% |
| item The AI-Native CRM that works for you | AI / ML | — | — | 78% |
| Anglera AI-Powered Product Data Enrichment | AI / ML | — | — | 77% |
| Observe.AI Contact center AI platform. | Insurance | — | — | 76% |
| 222 the AI social facilitator for offline human to human interactions | AI / ML | — | — | 76% |
| Monterey AI Turn user feedback to product insights | AI / ML | — | — | 76% |
| Inventive AI AI Agents For RFP and Questionnaire Response Automation | Hardware / Semiconductors | — | — | 75% |
| Ciro GTM AI that books you 5-8 meetings/week | AI / ML | — | — | 75% |
See where Inari sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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