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Black Mesa

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uuid00nbbsn

Namestring
Black Mesa
Legal namestring
Black Mesa
Websiteurl
blackmesa.com
Company typeenum
Private
Founded yearint
2022
Descriptiontext

Black Mesa is a Boston-based technology company founded in 2022 that builds AI-enabled quality assurance tools for pharmaceutical biomanufacturing. Its core product, VERISCAN, is a patent-pending platform that bridges paper-based and electronic batch records by applying computer vision, natural language processing, and machine learning models trained on thousands of batch records to detect documentation errors in real time at the moment of scanning. Each page is fingerprinted with cryptographic hashes and QR codes to prove record integrity, and the platform makes handwritten notes, calculations, and observations searchable across historical batches, addressing the dominant cause of FDA 483 warnings.

The company serves pharmaceutical and biopharmaceutical manufacturers subject to 21 CFR Part 11 regulatory requirements, with particular focus on early-stage drug development organizations still relying on paper-based documentation. VERISCAN is sold via a consultative, enterprise-oriented sales motion anchored by a 'Request Demo' contact mechanism, with pricing not publicly disclosed. Revenue model is recurring platform licensing or subscription alongside implementation support, though no revenue figures are publicly reported.

In January 2026, Black Mesa was awarded ARPA-H funding under the CATALYST program to develop a Good AI Practice (GAIP) framework — an initiative to set standards for AI used in drug development under 21 CFR regulations, with the FDA and NIH as collaborators. The company is led by CEO Charles Fracchia, has 1-10 employees, and previously worked with the Department of Health and Human Services on infrastructure critical to the U.S. medicine supply.

Short descriptiontext

Black Mesa is a Boston-based technology company that provides VERISCAN, an AI-powered quality assurance platform for pharmaceutical biomanufacturing that digitizes and error-checks paper-based batch records without disrupting existing workflows.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersBoston, United States
HQ citystring
Boston
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
batch record review, biomanufacturing quality assurance, pharmaceutical compliance software, electronic batch records, FDA 21 CFR Part 11
Industry1 code
1Quality, Compliance & Validation Software for Labs (GxP/CSV, eQMS for QC Labs)
CodeHLAGAJAIPrimaryYes
NAICS code1 code
  • Software Publishers5132
SIC code2 codes
  • Services-Testing Laboratories8734
  • Laboratory Analytical Instruments3826
Product category
Pharmaceutical Biomanufacturing Quality Assurance Software
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1VERISCAN Platform Licensing/Subscription
TypeSubscription Recurring
Description

VERISCAN is described as a product bridging paper and electronic batch records, suggesting a SaaS or subscription licensing model for biomanufacturing customers. The product is offered alongside implementation support and digital record management services. Revenue is derived from recurring platform fees for AI-enabled batch record review, cryptographic verification, and digital archiving capabilities.

blackmesa.com
Marketing channels4 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 record
1VERISCAN
Description

AI-powered batch record review platform that bridges the gap between traditional paper and electronic batch records. Uses cryptography, machine learning, and data analytics to streamline quality review without requiring customers to switch to a fully digital system.

blackmesa.com
Core offering1 text field

Black Mesa develops and sells VERISCAN, an AI-enabled quality assurance platform for pharmaceutical biomanufacturing that converts paper-based batch records into searchable, error-checked digital records in real time. The product applies machine learning, computer vision, and cryptographic verification to detect missing signatures, calculation errors, and incomplete fields at the moment of scanning, while keeping manufacturers' existing paper workflows intact. The company is also developing the Good AI Practice (GAIP) framework under ARPA-H funding to establish standards for AI use in drug development under FDA 21 CFR regulations.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • 8% of FDA 483 warnings are from documentation and data integrity errors
+4 more records
Product overview1 text field

Black Mesa offers a single core product called VERISCAN - an AI-powered batch record review platform designed specifically for biomanufacturing. VERISCAN bridges the gap between traditional paper-based documentation and electronic batch records, allowing manufacturers to maintain their existing paper workflows while gaining digital benefits including real-time error detection, searchable records, and compliance reporting. The company is also developing a Good AI Practice (GAIP) framework in partnership with ARPA-H to establish standards for responsible AI use in drug development.

Product and service1 record
1VERISCAN
CategoryPharmaceutical Quality Assurance Software
Description

AI-enabled quality assurance platform for pharmaceutical biomanufacturing that transforms paper batch records into searchable, error-checked digital records using cryptography, machine learning, and data analytics. Catches missing signatures, calculation errors, and incomplete fields at the moment of scanning, provides cryptographic record integrity with QR-coded fingerprints, makes handwriting searchable, and generates compliance reports for FDA 21 CFR Part 11 environments. Targeted at pharmaceutical and biopharmaceutical manufacturers operating paper-based or hybrid batch record systems.

Scale indicator2 records

Each record includes

Type, Value, Description, Source

Partnership4 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-01-20
Description

Black Mesa was awarded funding from ARPA-H to develop a Good AI Practice (GAIP) framework under the CATALYST (Computational ADME-Tox and Physiology Analysis for Safer Therapeutics) program. The GAIP framework will create methods ensuring AI models, datasets, and infrastructure used in drug predictions meet high-quality, traceable, and regulatory-compliant standards under 21 CFR regulations. This is a flagship partnership given its direct alignment with Black Mesa's core product strategy and the prestige of ARPA-H funding.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-20
Description

Black Mesa built on prior work with HHS where they 'defended billions of dollars of infrastructure critical to the American medicine cabinet.' This prior engagement laid the foundation for the current ARPA-H GAIP project, indicating an established relationship with federal health agencies focused on pharmaceutical infrastructure protection.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-01-20
Description

FDA is referenced as a key government partner within the ARPA-H CATALYST program ecosystem. Andy Kilianski (ARPA-H Acting Deputy Director) stated that CATALYST's tools will be developed in collaboration with the FDA, NIH, and partners across government, academia, and industry. The GAIP framework specifically addresses 21 CFR regulatory compliance requirements enforced by the FDA.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-01-20
Description

NIH is referenced as a partner within the ARPA-H CATALYST program alongside the FDA and collaborators across government, academia, and industry. While mentioned as part of the broader CATALYST initiative, NIH's role appears secondary to the FDA in the context of Black Mesa's GAIP framework.

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

Frontline operations and quality apps platform for manufacturers, including regulated industries. Comparable because both bring digital, app-based capabilities into paper-heavy manufacturing and quality workflows where shop-floor documentation is the bottleneck.

TypeDirect peer
Description

Cloud-native eQMS for life sciences startups and mid-market manufacturers, including document control and batch record modules. Comparable because both sell to small and mid-sized biopharma manufacturers seeking modern, AI-friendly quality tooling.

TypeBroad incumbent
Description

Dominant cloud software provider for life sciences, offering Vault Quality, Vault Manufacturing, and CTMS suites that include document management and batch record capabilities for biopharma. Comparable because Veeva is the incumbent platform that biomanufacturers often already use for regulated document and quality workflows.

TypeBroad incumbent
Description

LIMS and laboratory informatics platform used by pharma manufacturers to manage batch records, quality data, and compliance. Comparable because both serve regulated biomanufacturing documentation and quality use cases, even though LabVantage sits more on the LIMS side.

TypeEmerging player
Description

Scientific data cloud and AI data platform purpose-built for life sciences R&D and manufacturing. Comparable because both seek to unlock latent data from paper-based and unstructured pharma workflows and route it into analytics, AI, and compliance systems.

TypeEmerging player
Description

AI-enabled quality management software for life sciences on the Salesforce platform, including document control and quality workflows. Comparable because both apply AI to GxP quality and documentation problems for pharma and biotech manufacturers.

TypeDirect peer
Description

Electronic validation and logbook platform purpose-built for regulated life sciences environments. Comparable because both target paper-to-digital transitions in GxP documentation workflows that include batch records and compliance audit trails.

TypeDirect peer
Description

Lifecycle and validation management software for life sciences, focused on electronic validation, logbooks, and compliance documentation. Comparable because both compete for regulated documentation and process integrity workflows in biomanufacturing.

TypeDirect peer
Description

Provider of eQMS, document control, and batch record software for life sciences manufacturers. Directly comparable to VERISCAN because both target GxP-compliant quality and documentation workflows in pharmaceutical and biotech manufacturing.

TypeEmerging player
Description

Quality and compliance software provider serving life sciences manufacturers with document, training, and audit capabilities. Comparable because both focus on streamlining GxP documentation and audit readiness for small and mid-sized biopharma.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Black Mesa

Pharmaceutical Biomanufacturing Quality Assurance Softwareblackmesa.com

Black Mesa is a Boston-based technology company that provides VERISCAN, an AI-powered quality assurance platform for pharmaceutical biomanufacturing that digitizes and error-checks paper-based batch records without disrupting existing workflows.

What Black Mesa does

Black Mesa is a Boston-based technology company founded in 2022 that builds AI-enabled quality assurance tools for pharmaceutical biomanufacturing. Its core product, VERISCAN, is a patent-pending platform that bridges paper-based and electronic batch records by applying computer vision, natural language processing, and machine learning models trained on thousands of batch records to detect documentation errors in real time at the moment of scanning. Each page is fingerprinted with cryptographic hashes and QR codes to prove record integrity, and the platform makes handwritten notes, calculations, and observations searchable across historical batches, addressing the dominant cause of FDA 483 warnings.

The company serves pharmaceutical and biopharmaceutical manufacturers subject to 21 CFR Part 11 regulatory requirements, with particular focus on early-stage drug development organizations still relying on paper-based documentation. VERISCAN is sold via a consultative, enterprise-oriented sales motion anchored by a 'Request Demo' contact mechanism, with pricing not publicly disclosed. Revenue model is recurring platform licensing or subscription alongside implementation support, though no revenue figures are publicly reported.

In January 2026, Black Mesa was awarded ARPA-H funding under the CATALYST program to develop a Good AI Practice (GAIP) framework — an initiative to set standards for AI used in drug development under 21 CFR regulations, with the FDA and NIH as collaborators. The company is led by CEO Charles Fracchia, has 1-10 employees, and previously worked with the Department of Health and Human Services on infrastructure critical to the U.S. medicine supply.

Black Mesa firmographics

Firmographics
Name
Black Mesa
Legal name
Black Mesa
Website
https://blackmesa.com
Company type
Private
Founded year
2022
Operating status
Operating
Headcount range
1–10 employees
Short description
Black Mesa is a Boston-based technology company that provides VERISCAN, an AI-powered quality assurance platform for pharmaceutical biomanufacturing that digitizes and error-checks paper-based batch records without disrupting existing workflows.
Ownership category
akta.pro rank

Black Mesa industry classification

Industry
Product category
Pharmaceutical Biomanufacturing Quality Assurance Software
NAICS
Software Publishers (5132)
SIC
Services-Testing Laboratories (8734), Laboratory Analytical Instruments (3826)
akta.pro primary industry
Quality, Compliance & Validation Software for Labs (GxP/CSV, eQMS for QC Labs) (HLAGAJAI)

Keywords

  • Batch record review
  • Biomanufacturing quality assurance
  • Pharmaceutical compliance software
  • Electronic batch records
  • FDA 21 CFR Part 11

Where Black Mesa is headquartered

Location

Headquarters

HQ city
Boston
HQ country
United States
HQ region
North America

Offices2 records

Markets served

Black Mesa business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

  1. VERISCAN Platform Licensing/Subscription: VERISCAN is described as a product bridging paper and electronic batch records, suggesting a SaaS or subscription licensing model for biomanufacturing customers. The product is offered alongside implementation support and digital record management services. Revenue is derived from recurring platform fees for AI-enabled batch record review, cryptographic verification, and digital archiving capabilities.

Go-to-market motion1 record

Distribution channels2 records

Marketing channels4 records

Black Mesa product offering

Product offering

Core offering

Black Mesa develops and sells VERISCAN, an AI-enabled quality assurance platform for pharmaceutical biomanufacturing that converts paper-based batch records into searchable, error-checked digital records in real time. The product applies machine learning, computer vision, and cryptographic verification to detect missing signatures, calculation errors, and incomplete fields at the moment of scanning, while keeping manufacturers' existing paper workflows intact. The company is also developing the Good AI Practice (GAIP) framework under ARPA-H funding to establish standards for AI use in drug development under FDA 21 CFR regulations.

Product overview

Black Mesa offers a single core product called VERISCAN - an AI-powered batch record review platform designed specifically for biomanufacturing. VERISCAN bridges the gap between traditional paper-based documentation and electronic batch records, allowing manufacturers to maintain their existing paper workflows while gaining digital benefits including real-time error detection, searchable records, and compliance reporting. The company is also developing a Good AI Practice (GAIP) framework in partnership with ARPA-H to establish standards for responsible AI use in drug development.

Differentiator

Problem solved

Functional benefit

Brands

  • VERISCAN: AI-powered batch record review platform that bridges the gap between traditional paper and electronic batch records. Uses cryptography, machine learning, and data analytics to streamline quality review without requiring customers to switch to a fully digital system.

Products and services

  • VERISCAN AI-enabled quality assurance platform for pharmaceutical biomanufacturing that transforms paper batch records into searchable, error-checked digital records using cryptography, machine learning, and data analytics. Catches missing signatures, calculation errors, and incomplete fields at the moment of scanning, provides cryptographic record integrity with QR-coded fingerprints, makes handwriting searchable, and generates compliance reports for FDA 21 CFR Part 11 environments. Targeted at pharmaceutical and biopharmaceutical manufacturers operating paper-based or hybrid batch record systems.

Quantifiable outcome

  • 8% of FDA 483 warnings are from documentation and data integrity errors
  • +4 more outcomes

Companies that use Black Mesa

Customer profile

Segments2 records

Ideal customer profiles2 records

Black Mesa technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature6 records

Black Mesa partnerships and signals

Strategic signal

Partnerships

Four partnerships are on record, tiered flagship, core and minor.

  • ARPA-H (Advanced Research Projects Agency for Health)flagshipStrategic or Co-development Partner · 20 January 2026Black Mesa was awarded funding from ARPA-H to develop a Good AI Practice (GAIP) framework under the CATALYST (Computational ADME-Tox and Physiology Analysis for Safer Therapeutics) program. The GAIP framework will create methods ensuring AI models, datasets, and infrastructure used in drug predictions meet high-quality, traceable, and regulatory-compliant standards under 21 CFR regulations. This is a flagship partnership given its direct alignment with Black Mesa's core product strategy and the prestige of ARPA-H funding.
  • Department of Health and Human Services (HHS)coreStrategic or Co-development Partner · 20 January 2026Black Mesa built on prior work with HHS where they 'defended billions of dollars of infrastructure critical to the American medicine cabinet.' This prior engagement laid the foundation for the current ARPA-H GAIP project, indicating an established relationship with federal health agencies focused on pharmaceutical infrastructure protection.
  • FDA (Food and Drug Administration)coreStrategic or Co-development Partner · 20 January 2026FDA is referenced as a key government partner within the ARPA-H CATALYST program ecosystem. Andy Kilianski (ARPA-H Acting Deputy Director) stated that CATALYST's tools will be developed in collaboration with the FDA, NIH, and partners across government, academia, and industry. The GAIP framework specifically addresses 21 CFR regulatory compliance requirements enforced by the FDA.
  • NIH (National Institutes of Health)minorStrategic or Co-development Partner · 20 January 2026NIH is referenced as a partner within the ARPA-H CATALYST program alongside the FDA and collaborators across government, academia, and industry. While mentioned as part of the broader CATALYST initiative, NIH's role appears secondary to the FDA in the context of Black Mesa's GAIP framework.

Scale indicators2 records

Recent moves5 records

Expansion highlights5 records

Black Mesa competitors and assessment

Company assessment

Emerging players

  • Tulip Interfaces: Frontline operations and quality apps platform for manufacturers, including regulated industries. Comparable because both bring digital, app-based capabilities into paper-heavy manufacturing and quality workflows where shop-floor documentation is the bottleneck.
  • TetraScience: Scientific data cloud and AI data platform purpose-built for life sciences R&D and manufacturing. Comparable because both seek to unlock latent data from paper-based and unstructured pharma workflows and route it into analytics, AI, and compliance systems.
  • Dot Compliance: AI-enabled quality management software for life sciences on the Salesforce platform, including document control and quality workflows. Comparable because both apply AI to GxP quality and documentation problems for pharma and biotech manufacturers.
  • Polaris Compliance: Quality and compliance software provider serving life sciences manufacturers with document, training, and audit capabilities. Comparable because both focus on streamlining GxP documentation and audit readiness for small and mid-sized biopharma.

Direct peers

  • Qualio: Cloud-native eQMS for life sciences startups and mid-market manufacturers, including document control and batch record modules. Comparable because both sell to small and mid-sized biopharma manufacturers seeking modern, AI-friendly quality tooling.
  • Kneat Solutions: Electronic validation and logbook platform purpose-built for regulated life sciences environments. Comparable because both target paper-to-digital transitions in GxP documentation workflows that include batch records and compliance audit trails.
  • ValGenesis: Lifecycle and validation management software for life sciences, focused on electronic validation, logbooks, and compliance documentation. Comparable because both compete for regulated documentation and process integrity workflows in biomanufacturing.
  • MasterControl: Provider of eQMS, document control, and batch record software for life sciences manufacturers. Directly comparable to VERISCAN because both target GxP-compliant quality and documentation workflows in pharmaceutical and biotech manufacturing.

Broad incumbents

  • Veeva Systems: Dominant cloud software provider for life sciences, offering Vault Quality, Vault Manufacturing, and CTMS suites that include document management and batch record capabilities for biopharma. Comparable because Veeva is the incumbent platform that biomanufacturers often already use for regulated document and quality workflows.
  • LabVantage Solutions: LIMS and laboratory informatics platform used by pharma manufacturers to manage batch records, quality data, and compliance. Comparable because both serve regulated biomanufacturing documentation and quality use cases, even though LabVantage sits more on the LIMS side.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

Black Mesa social profiles

Digital presence

Black Mesa financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Black Mesa leadership team

Management profile

Number of profiles

Profiles1 record

Black Mesa funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Black Mesa M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Black Mesa

What does Black Mesa do?

Black Mesa develops and sells VERISCAN, an AI-enabled quality assurance platform for pharmaceutical biomanufacturing that converts paper-based batch records into searchable, error-checked digital records in real time. The product applies machine learning, computer vision, and cryptographic verification to detect missing signatures, calculation errors, and incomplete fields at the moment of scanning, while keeping manufacturers' existing paper workflows intact. The company is also developing the Good AI Practice (GAIP) framework under ARPA-H funding to establish standards for AI use in drug development under FDA 21 CFR regulations.

Is Black Mesa a public or private company?

Black Mesa is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Black Mesa founded?

Black Mesa was founded in 2022. It employs 1 to 10 people.

Where is Black Mesa based?

Black Mesa is headquartered in Boston, United States, in the North America region.

How does Black Mesa make money?

One revenue line is on record: VERISCAN Platform Licensing/Subscription.

Who are Black Mesa's main competitors?

Emerging players on record are Tulip Interfaces, TetraScience, Dot Compliance and Polaris Compliance. Direct peers are Qualio, Kneat Solutions, ValGenesis and MasterControl. Broad incumbents are Veeva Systems and LabVantage Solutions.

Does Black Mesa have an API?

No public API is recorded for Black Mesa.

What industry is Black Mesa in?

Black Mesa's product category is Pharmaceutical Biomanufacturing Quality Assurance Software. Its primary akta.pro industry code is HLAGAJAI, Quality, Compliance & Validation Software for Labs (GxP/CSV, eQMS for QC Labs). Its NAICS code is 5132 and its SIC code is 8734.

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Live signals
WikipediaUser:Dawsonjgraham/sandboxSan Fortwan, a New Mexico county seat, was founded in 1876 by the José Fortwan Mining Company. A 1901 mine shaft collapse killed 21 miners and injured 32, leading the company to shut down. Black Mesa National Laboratory was built nearby in the 1950s.The News StarBlack Mesa awarded ARPA-H funding to develop a ‘Good AI Practice’ (GAIP) frameworkBlack Mesa, a Boston-based technology company, has been awarded funding from the Advanced Research Projects Agency for Health (ARPA-H) to develop a Good AI Practice (GAIP) framework for drug discovery and development. The GAIP framework, part of ARPA-H's CATALYST program, will establish standards modeled after existing Good Practice guidelines to ensure AI technologies used in drug development maintain rigorous data integrity under 21 CFR regulations. The framework aims to make AI models, datasets, and infrastructure used in drug predictions high-quality, traceable, and compliant with strong regulatory requirements.EIN PresswireBlack Mesa awarded ARPA-H funding to develop a âGood AI Practiceâ (GAIP) frameworkBlack Mesa, a Boston technology company, has been awarded funding from the Advanced Research Projects Agency for Health (ARPA-H) to develop a Good AI Practice (GAIP) framework for drug discovery and development. The framework, part of ARPA-H's CATALYST program, aims to help organizations use AI responsibly while maintaining data integrity under 21 CFR regulations. The project builds on Black Mesa's prior work with the Department of Health and Human Services and is designed to protect drug safety and efficacy by preventing data integrity risks from uncontrolled AI use.