Acellus Health Inc.

What Acellus Health Inc. does

Acellus Health Inc. is a private healthcare technology company headquartered in Wilmington, Delaware, that builds the ACE Engine, a data normalization and extraction platform focused on oncology clinical records. The platform uses natural language processing to transform unstructured clinical notes, pathology reports, and imaging summaries into structured, analysis-ready datasets across 21+ fields spanning diagnosis, staging, biomarkers (ER, PR, HER2, Ki-67), pathology (tumor size, lymph nodes, margins, LVI), genomics (Oncotype DX, BRCA1/2), and treatment information. The platform supports custom schemas, longitudinal patient histories, integration with any EHR system, and on-premises deployment to preserve customer data ownership.

The company serves three primary segments: healthcare systems seeking to build internal AI/ML predictive modeling pipelines; healthcare AI companies that need structured oncology data for model training, validation, and deployment; and academic research institutions building real-world datasets for AI evaluation. Customer engagement is conducted via direct enterprise field sales, with inquiries routed through a contact form, an info@ email, and Calendly-scheduled intro calls, supported by a content marketing motion through a technical blog. Pricing is not publicly posted and the company operates on a quote-based enterprise model.

Acellus Health was founded in 2021, lists 1-10 employees, and appears to be bootstrapped or self-funded, with no disclosed institutional funding rounds, no named customers, no patents, and no partnerships in the source data. The core team includes Co-Founder Patrick Callahan, Executive Director of Patients Ashley Respress, and AI/Software Engineers Connor Callahan and William Rollins, suggesting a founder-led, technically driven organization in an early commercial stage, as evidenced by the website's 'Join the waitlist' call to action.

Name

Acellus Health Inc.

Legal name

Acellus Health Inc.

Website

https://acellushealth.ai

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

Acellus Health Inc. operates the ACE Engine, an NLP-based data normalization platform that converts unstructured oncology clinical records into structured, analysis-ready datasets. It serves healthcare systems, healthcare AI companies, and academic research institutions seeking data infrastructure for AI/ML applications.

Ownership category

akta.pro rank

Product category

Clinical Data Infrastructure

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Clinical & Translational Informatics (Clinical Data Integration/Real-World Data for R&D) (HLAGAJAF)

akta.pro secondary industries

Multi-Omics Precision Medicine Platforms (genomics/proteomics/metabolomics) (HLAAANAF), Digital & AI-Enabled Diagnostics (algorithmic interpretation, decision support tied to assays) (HLAAALAO)

Keywords

• Clinical data extraction
• Healthcare AI infrastructure
• Oncology data normalization
• EHR data pipeline
• Structured clinical datasets

Headquarters

HQ city

Wilmington, Delaware

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Acellus Health builds the ACE (Automated Clinical Extraction) Engine, a software platform and API that converts unstructured oncology clinical records into structured, analysis-ready datasets. It enables healthcare organizations to design custom schemas, extract 21+ clinical fields (diagnosis, biomarkers, pathology, genomics, treatment) at scale, integrate with any EHR, and deploy on-premises while retaining full data ownership.

Product overview

Acellus Health offers the ACE Engine as its core unified platform for clinical data infrastructure. ACE Engine serves as the data normalization layer and extraction pipeline that converts unstructured clinical records into structured datasets. The platform supports custom schemas, longitudinal patient histories, integration with any EHR system, and on-premises deployment. Users access the platform via an API to build clinical intelligence applications on top of structured healthcare data.

Differentiator

Problem solved

Functional benefit

Brands

• ACE Engine: The data normalization layer and clinical data pipeline platform that transforms raw clinical records into structured, analysis-ready datasets with custom schemas and API deployment.

Products and services

• ACE Engine ACE (Automated Clinical Extraction) Engine is a data pipeline platform that transforms raw, unstructured clinical records into structured, analysis-ready datasets for clinical intelligence. It enables healthcare organizations to design custom schemas, extract 21+ clinical fields (diagnosis, biomarkers, pathology, genomics, treatment) at scale from any EHR system, and deploy processing on their own infrastructure via an API.

Quantifiable outcome

• 80% of clinical data is unstructured (buried in notes, reports, and narratives)
• +2 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature3 records

Recent moves4 records

Expansion highlights4 records

Direct peers

• Datavant: Datavant connects and de-identifies clinical data across providers, payers, and life sciences for research and AI use cases. It addresses the same upstream problem Acellus solves — turning fragmented clinical records into usable, linkable data — but at a horizontal rather than oncology-vertical level.
• Flatiron Health: Flatiron curates oncology-specific real-world clinical data extracted from EHRs and sells it to researchers, providers, and life-sciences companies. It is the closest large-scale analogue to Acellus's oncology-focused clinical data normalization, with a much larger installed base and broader data network.
• Komodo Health: Komodo Health builds a large-scale clinical data platform for healthcare and life-sciences analytics, including patient-level longitudinal datasets. It is comparable to Acellus as a clinical-data infrastructure layer enabling AI/ML use cases for life sciences and providers.
• Tempus Labs: Tempus builds AI-enabled precision medicine data platforms in oncology, structuring clinical and molecular data for providers, researchers, and pharma. It overlaps with Acellus on the oncology clinical + genomics data structuring layer and on the buyer segments Acellus targets.
• ConcertAI: ConcertAI is an oncology-focused real-world data and AI company serving healthcare systems, providers, and life sciences. It competes directly with Acellus on oncology-specific clinical data extraction and on AI-ready dataset delivery to research customers.

Broad incumbents

• IQVIA: IQVIA is a global life-sciences and clinical-research data giant with oncology real-world data, EDC, and analytics offerings. It represents the large incumbent that Acellus's academic-research and AI-vendor customers may already use for clinical data.
• Google Cloud Healthcare API: Google Cloud's Healthcare API offers FHIR-based data ingestion and clinical NLP at hyperscaler scale. It competes with ACE Engine on the underlying 'make clinical text structured and queryable' problem, with substantially broader platform reach.
• Amazon HealthLake (AWS): AWS HealthLake is a cloud-based service for storing, transforming, and querying clinical data using NLP and standard schemas. It is the most direct hyperscaler incumbent to Acellus's cloud-or-on-prem clinical extraction value proposition.

Emerging players

• Mendel: Mendel applies AI to clinical text and structured records to make healthcare data machine-readable for providers and researchers. It is a closer technological match to ACE Engine's NLP-based clinical extraction approach, though it operates more broadly than oncology.
• Deep 6 AI: Deep 6 AI uses NLP to mine clinical records for trial feasibility and real-world evidence, including oncology cohorts. It overlaps with Acellus on the structured-data extraction use case and on the academic-research buyer segment.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/acellushealth

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds

Investors

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

M&A

Investments

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

Frequently asked questions about Acellus Health Inc.