Unlearn.ai, Inc.

SAN FRANCISCO, CA · Founded 2017 · Medtech · Still private

AI-powered digital twins of clinical trial participants for simulating treatment outcomes and reducing trial complexity

New patent ·
Claim this profile

Follows are private to you and power your alerts

Updated · unlearn.ai

Sector
Medtech
Headquarters
SAN FRANCISCO, CA
Founded
2017
Latest Form D
$50M, Feb 2024
Total capital
$112M
Federal grants
None on recordNo awards found in SBIR/STTR, NIH, NSF or DoD records.
Private capital raised
$112M
3 Form D · last Feb 2024
33 months since last filing
Federal contracts
None on recordNo federal contract awards found.
Granted patents
7
33 pending · first 2023
Rank in peer group#15 of 122

Capital timeline

20202021202220232024FEDERAL ↑EQUITY ↓Cumulative $112M1st Form D$12M2nd Form D$50M3rd Form D$50M
20202021202220232024FEDERAL ↑EQUITY ↓Cumulative $112M1st Form D$12M2nd Form D$50M

Latest events

  • Private capital raisedForm D · SEC · 3rd filing$50M
  • Private capital raisedForm D · SEC · 2nd filing$50M
  • Private capital raisedForm D · SEC · 1st filing$12M

Node area is scaled to amount. Form D reports securities sold, which can differ from an announced round; filings are numbered in the order they were made.

Standing among 122 peers

Line = median

Medtech · Software

  • Granted patents#15 · top 12%

Cumulative measures favor older companies. Rankings describe position today, not outcome. Below the median, ranks show as a band rather than a number.

Founders and team

From SEC Form D filings
  • Aaron SmithDirectorNamed in SEC Form D filings
  • Andrew GillExecutive OfficerNamed in SEC Form D filings
  • Ann TaylorDirectorNamed in SEC Form D filings
  • Charles FisherExecutive Officer, DirectorNamed in SEC Form D filings
  • Dylan MorrisDirectorNamed in SEC Form D filings
  • Eric ShiozakiDirectorNamed in SEC Form D filings
Show all 11 people
  • Ermira MuratiDirectorNamed in SEC Form D filings
  • Francisco Ryan GimenezDirectorNamed in SEC Form D filings
  • John Ryan HamerDirectorNamed in SEC Form D filings
  • John McGovernExecutive OfficerNamed in SEC Form D filings
  • Jonathan Ryan WalshExecutive OfficerNamed in SEC Form D filings

What it has protected

USPTO · 7 granted of 40
Show all 40 patent records
  • Systems and Methods for Designing Augmented Randomized TrialsOct 6, 2026 · US 12,755,817Granted
  • Systems and Methods for Training Conditional Generative ModelsJun 9, 2026 · US 12,651,147Granted
  • Systems and Methods for Optimizing Composite ScoresDec 18, 2025 · Application 19242683Pending
  • Systems and Methods for Optimizing Clinical Trial DesignsAug 14, 2025 · Application 19053313Pending
  • Systems and Methods for Bayesian Prognostic Covariate AdjustmentApr 24, 2025 · Application 18920772Pending
  • Systems and Methods for Adjusting Covariates and Producing Treatment Effect Inferences in Randomized Controlled TrialsMar 6, 2025 · Application 18818460Pending
  • Systems and Methods Enabling Baseline Prediction CorrectionJan 16, 2025 · Application 18669364Pending
  • Systems and Methods for Supplementing Data with Generative ModelsDec 19, 2024 · Application 18745869Pending
  • Systems and Methods for Training Conditional Generative ModelsSep 12, 2024 · Application 18662679Pending
  • Systems and Methods for Designing Augmented Randomized TrialsAug 8, 2024 · Application 18163157Pending
  • Systems and Methods for Designing Augmented Randomized TrialsAug 1, 2024 · Application 18439385Pending
  • Systems and Methods Enabling Baseline Prediction CorrectionJun 25, 2024 · US 12,020,789Granted
  • Systems and Methods for Training Generative Models Using Summary Statistics and Other ConstraintsJun 11, 2024 · US 12,008,478Granted
  • Systems and Methods for Supplementing Data With Generative ModelsMay 23, 2024 · Application 18352960Pending
  • Systems and Methods for Training Predictive Models that Ignore Missing FeaturesApr 23, 2024 · US 11,966,850Granted
  • Systems and Methods for Training Predictive Models that Ignore Missing FeaturesJan 9, 2024 · US 11,868,900Granted
  • Systems and Methods for Adjusting Randomized Experiment Parameters for Prognostic ModelsNov 2, 2023 · Application 18330259Pending
  • Systems and Methods for Adjusting Randomized Experiment Parameters for Prognostic ModelsNov 2, 2023 · Application 18308619Pending
  • Systems and Methods for Modeling Probability DistributionsApr 25, 2023 · US 11,636,309Granted
  • Systems and Methods for Estimating Treatment Effects in Randomized Trials Using Covariate Adjusted Stratification and Pseudovalue RegressionDec 29, 2022 · Application 17808954Pending
  • Systems and Methods for Designing Efficient Randomized Trials Using Semiparametric Efficient Estimators for Power and Sample Size CalculationOct 27, 2022 · Application 17659428Pending
  • Systems and Methods for Model SelectionOct 6, 2022 · Application 17658228Pending
  • Methods and Systems to Account for Uncertainties from Missing Covariates in Generative Model PredictionsJun 2, 2022 · Application 17457233Pending
  • Systems and Methods for Designing Augmented Randomized TrialsMay 19, 2022 · Application 17649660Pending
  • Systems and Methods for Prognostic Covariate Adjustment in Logistic Regression for Randomized Controlled Trial DesignApplication 19152872Pending
  • System and Methods for Training Generative Models Using Summary Statistics and Other ConstraintsApplication 62923337Pending
  • System and Method for Supplementing Data in Randomized Controlled Trials with Generative ModelsApplication 62891240Pending
  • Simulating Biological and Health Systems with Restricted Boltzmann MachinesApplication 62792648Pending
  • Systems and Methods for Supplementing Data with Generative ModelsApplication 19129280Pending
  • Systems And Methods For Supplementing Data With Generative ModelsApplication PCTUS2020047054Pending
  • Optimizing Composite Scores for Better Decision MakingApplication 63661481Pending
  • Systems and Methods for Optimizing Clinical Trial DesignsApplication 63553006Pending
  • Bayesian PROCOVA v2.0 Method ProposalApplication 63552962Pending
  • Systems And Methods For Prognostic Covariate Adjustment In Logistic Regression For Randomized Controlled Trial DesignApplication PCTUS2024013850Pending
  • Bayesian Prognostic Covariate Adjustment with MixtureApplication 63593507Pending
  • Bayesian Prognostic Covariate Adjustment with MixtureApplication 63591421Pending
  • Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled TrialsApplication 63579207Pending
  • Systems And Methods For Supplementing Data With Generative ModelsApplication PCTUS2023070276Pending
  • Digital TwinGeneration ArchitectureApplication 63510306Pending
  • Neural Boltzmann MachinesApplication 63502027Pending

Regulatory activity · Medtech

Sector-level, not company-level

Rules are matched to sector, not to company. Recent activity in a sector is context rather than a signal about this business — until rules are matched to what a company actually builds, the section is shown as context and nothing more.

Sources

Federal grants from SBIR/STTR, NIH, NSF and DoD records. Federal contracts from USAspending.gov. Private capital from SEC Form D. Patents from USPTO. Publications from OpenAlex. Regulatory activity from the Federal Register. Press matched on company name.

How to read this page

Figures show associations in public records, not causes or predictions. Nothing here is investment advice. An em-dash means no record was found under this company's name, not that none exists.

Data freshness

SEC Form D filings through . SBIR and STTR awards through .