Companies · AI / ML

Tuva HealthWinter 2022Active

Salt Lake City · UT, USA; Remote · AI / ML · founded 2022 · https://tuvahealth.com/

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

Tuva Health: 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

Tuva Health is one of 2067 AI / ML companies tracked from Salt Lake City, UT, USA; Remote, on record since 2022. 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”

Open source software that cleans and transforms messy healthcare data.

At Tuva Health, we make open source software that cleans and transforms messy healthcare data. We’re founded by Aaron Neiderhiser and Coco Zuloaga, former senior execs from Health Catalyst and Strive Health. We realized data transformation and data quality is the fundamental problem preventing the healthcare industry from building scalable data products. We launched Tuva and joined the W22 batch of Y Combinator to solve this problem for the entire industry. Since January 1st, we signed our first customer (paying $10k per month) and completed the first major release of the Tuva Project. At Tuva, our goal is to (1) become the open standard for healthcare data transformation and (2) build the data network for multi-site benchmarking, research, and machine learning on top of this open standard.

B2BDigital HealthSaaSai/ml
Find Tuva Health 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
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Base estimate est.
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Conservative case
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Upside case
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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
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Avg between rounds
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Capital velocity
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On record since
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First round
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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
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Modeled next raise
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Modeled next size est.
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Last step-up
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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

Tuva Health 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
AccordAI / ML———same sector
AcelyAI / ML———same sector
AedilicAI / ML———same sector
AemonAI / ML———same sector
Affogato AIAI / ML———same sector
AftercareAI / ML———same sector
Agentic LabsAI / ML———same sector
Ai AibaAI / ML———same 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
Clarion
The AI communication layer for healthcare
Healthtech——76%
Eos AI
Autonomous OS for healthcare
Healthtech——74%
Serif Health Management, Inc.
Healthcare Price Transparency APIs and Data Products
HealthtechSeed$34.1M73%
Tuli Health
Transforming pharmacies in the UK into diagnostic centers
SaaS / Software——73%
BioStack Platforms
Real world training envs for healthcare AI models
Pharma——72%
Rovi Health
AI healthcare concierge for employees
AI / ML——72%
Ankr Health
Virtualizing brick-mortar infrastructures of clinics w/ generative AI
Healthtech——72%
Arctic Health
AI-native credentialing and contracting for healthcare
AI / ML——72%
Frequently asked
What does Tuva Health do and where is it based?
Tuva Health operates in the AI / ML sector, based in Salt Lake City, UT, USA; Remote. Open source software that cleans and transforms messy healthcare data.
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