Companies · AI / ML

KlarismoSummer 2015Inactive

San Francisco · CA, USA · AI / ML · founded 2015 · http://klarismo.com

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

Klarismo: 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

Klarismo is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2015. 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

Klarismo turns your body into an interactive experience. We built a…

Fully-automated Quantitative MR Image Analysis. Our software converts a user’s full body magnetic resonance scan (MRI) into a 3D virtual model of their body in the cloud. The model is annotated with explanatory information so they can easily explore and learn about different parts of their body. Klarismo is the only provider of MR analytics that can offer truly scalable analysis for large data collections. Cloud-based processing allows 1000s of acquisitions to be analyzed simultaneously. Machine learning techniques utilize Klarismo’s proprietary collection of labelled MRI data and eliminate the need for manual processing to produce precise volumetric measurements. Klarismo specializes in the detailed analysis of body composition, including volumetric measurements of different muscle and fat tissues, from whole-body acquisitions.

Health TechMedical Devicesai/ml
Find Klarismo 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
Base estimate est.
Conservative case
Upside case
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
Avg between rounds
Capital velocity
On record since
First round
0
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
Modeled next raise
Modeled next size est.
Last step-up
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

Klarismo 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
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AedilicAI / MLsame sector
AemonAI / MLsame sector
Affogato AIAI / MLsame sector
AftercareAI / MLsame sector
Agentic LabsAI / MLsame sector
Ai AibaAI / MLsame 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
iSono Health, Inc.
AI-powered platform for Accessible and Personalized Breast Health…
Medical DevicesSeed$6.7M77%
Klarify
AI Agent for Therapists
Insurance75%
Klarity
Company Brain for people and agents to work in harmony.
AI / ML75%
MICSI
Higher resolution MRI with faster scan times.
Healthtech74%
AgileMD
Predictive analytics and clinical pathways for hospitals
Healthtech74%
Mecha Health
Foundation models to automate x-ray analysis for radiologists
Healthtech73%
Klarity Intelligence, Inc.AI / MLSeries B$456.7M73%
Astraea, Inc.
AI Operating System for Clinical Development
AI / MLSeries A$93.3M72%
Frequently asked
What does Klarismo do and where is it based?
Klarismo operates in the AI / ML sector, based in San Francisco, CA, USA. Klarismo turns your body into an interactive experience. We built a…
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See where Klarismo sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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