Speda

What Speda does

SPEDA ApS is a Copenhagen-based MedTech company that builds AI-driven software to automate the extraction and structuring of patient data from Electronic Health Record (EHR) systems for clinical research. Its platform integrates primarily with EPIC on the input side and exports structured data to Electronic Data Capture (EDC) systems, with REDCap as the flagship integration. The core technical differentiator is the ability to extract data even when EHR systems lack direct API access, achieved through an AI-based approach that navigates the EHR interface as a human user would. All processing runs on-premise so that data never leaves the hospital's servers and SPEDA never obtains direct access to patient data.

The company sells on a usage-based model, charging per patient and per datapoint extracted, and bundles professional services to coordinate deployment with hospital IT departments. Distribution is exclusively direct and consultative, initiated through a website contact form. SPEDA's primary customer segment is medical researchers at Danish hospitals and clinical research institutions — anchored by the Danish Capital Region — with hospital IT departments as a secondary buyer-influence stakeholder.

The company was founded during the COVID-19 crisis by CEO Ali Al-Alak, who experienced firsthand the manual burden of clinical data extraction, and is led alongside CTO Tom Quast and CCO Nikola Burger. SPEDA has been supported by KU Lighthouse (University of Copenhagen's innovation hub), Innovation Fund Denmark, and a Micro Grant from the Danish Foundation for Entrepreneurship, and in 2024 raised $162,110 through Antler. ISO 27001 certification and GDPR compliance are central pillars of its privacy-first positioning.

Name

Speda

Legal name

SPEDA ApS

Website

https://speda.io

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Short description

SPEDA is a Copenhagen-based MedTech company that uses AI to automate extraction and structuring of patient data from Electronic Health Records for clinical researchers at Danish hospitals, running entirely on-premise to ensure data privacy.

Ownership category

akta.pro rank

Product category

Clinical Data Extraction Software

NAICS

Computer Systems Design and Related Services (54151), Computer Systems Design and Related Services (5415), Software Publishers (513210)

SIC

Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374), Services-Health Services (8000)

akta.pro primary industry

Nursing, Clinical Notes & Documentation Workflow Tools (HLACAAAG)

akta.pro secondary industries

Speech Recognition, Dictation & Medical Transcription Platforms (HLACAAAI), Patient Intake, Digital Registration & eForms (HLACAEAF)

Keywords

• Clinical data extraction
• EHR data automation
• Health record structuring
• Clinical research software
• Medical NLP

Headquarters

HQ city

Christianshavn

HQ country

Denmark

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Usage-based project pricing: Revenue is generated per project, priced based on the number of patients and datapoints extracted. Aimed to be significantly cheaper than the manual extraction alternative. Customers engage on custom-scoped projects, typically starting with a smaller pilot dataset before scaling.
2. Professional services / deployment support: SPEDA works closely with hospital IT departments to handle approval and deployment of the on-premise software as part of project engagements, bundling implementation support into customer projects.

Pricing tiers

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Core offering

Speda provides an AI-driven, on-premise software platform that automates the extraction and structuring of patient data from Electronic Health Record (EHR) systems such as EPIC and transfers it directly into Electronic Data Capture (EDC) systems such as REDCap. The platform uses natural language processing to convert unstructured doctors' notes into analysis-ready structured fields (vital signs, treatment plans, medical history, medications, laboratory results) and operates entirely on hospital servers so that data never leaves the customer's environment.

Product overview

SPEDA is a single unified product (rather than a platform-plus-modules architecture) offered by Copenhagen-based MedTech company SPEDA ApS. It automates data extraction and structuring from Electronic Health Records, integrating with EHR systems such as EPIC on the input side and exporting structured patient data to electronic data capture systems such as REDCap. The product combines API-based EHR connectivity (where available), an AI-based navigation approach that mimics human interaction with the EHR UI, and natural language processing of unstructured doctors' notes. All processing runs on-premise so data never leaves the hospital's servers.

Differentiator

Problem solved

Functional benefit

Products and services

• SPEDA Platform AI-driven on-premise software platform that automates the extraction and structuring of patient data from Electronic Health Record (EHR) systems such as EPIC and transfers it directly into Electronic Data Capture (EDC) systems such as REDCap. Converts unstructured doctors' notes into analysis-ready structured fields (vital signs, treatment plans, medical history, medication prescriptions, laboratory results) and runs entirely on the hospital's servers so that data never leaves the customer environment. Targeted at medical researchers and clinical research institutions running studies that require structured patient datasets.

Quantifiable outcome

• Customer testimonial indicates significant streamlining of research process with high data quality; user notes 'tremendous potential for time savings' on datasets of 100+ patients
• +2 more outcomes

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability5 records

Feature5 records

Partnerships

Three partnerships are on record, tiered core and major.

• REDCapcoreTechnology or IntegrationREDCap is described as the main electronic data capture (EDC) integration for SPEDA — the preferred choice of SPEDA's customers. Extracted patient data is exported directly into REDCap, and SPEDA can also export to virtually any other EDC system a researcher might use.
• EPICcoreTechnology or IntegrationEPIC is the primary EHR system SPEDA currently focuses on for data extraction. SPEDA is expanding to serve all regions in Denmark on EPIC and is working to enable its solution on other EHR systems and markets.
• KU Lighthouse (University of Copenhagen)majorStrategic or Co-development PartnerKU Lighthouse — Copenhagen University's hub for innovative solutions — is displayed under SPEDA's 'Supported By' section. It recognized SPEDA's potential early on and supported the company during its formation, including during the COVID-era origin of the product.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• IQVIA: Global clinical research and real-world evidence giant offering technology, data, and services across the clinical-research lifecycle. Overlaps with SPEDA on the data-extraction-for-research workflow, with a far broader portfolio and enterprise sales reach into hospital systems.
• Flatiron Health: Acquired by Roche, Flatiron extracts and structures oncology EHR data for real-world evidence and clinical research. A well-capitalized incumbent operating at scale in exactly the 'structured EHR data for clinical research' category SPEDA targets, but specialized in oncology and US-based.
• Datavant: Broad health data connectivity and de-identification platform that links and structures patient data across EHRs, claims, and other sources for research. Significantly larger and more established, but addresses the same underlying problem of making hospital patient data usable for research, and uses a privacy-preserving architecture conceptually adjacent to SPEDA's on-premise approach.
• InterSystems: Provides the InterSystems IRIS data platform and HealthShare health informatics suite that integrates data across EHR systems and supports clinical research workflows. Competes with SPEDA at the EHR-integration layer, but at a far broader enterprise scale with established hospital deployments.

Direct peers

• Mendel: AI platform that structures unstructured clinical text from EHRs into analysis-ready data for life sciences and clinical research, directly overlapping with SPEDA's NLP-based extraction of doctors' notes. Targets similar enterprise use cases of turning clinical free-text into structured data for downstream analytics.
• Atropos Health: Translates questions about patient outcomes into queries against de-identified EHR data to produce real-world evidence for clinicians and researchers. Competes with SPEDA in the 'generate structured evidence from hospital EHRs for research' workflow, with a stronger focus on physician decision support.
• Clinerion: Provides EHR-based patient data for clinical research, including structuring of hospital records and real-world data for study feasibility and recruitment. Overlaps with SPEDA in extracting patient information from hospital EHRs into research-ready datasets; like SPEDA it has a strong European hospital footprint.
• TriNetX: Global health research network that aggregates structured patient data from hospital EHRs for clinical trial feasibility, cohort discovery, and real-world evidence. Direct competitor in the 'EHR-to-research-database' workflow that SPEDA automates, though at a much larger network scale.

Emerging players

• Deep 6 AI: AI-driven clinical-trial patient matching and cohort discovery platform that mines structured and unstructured EHR data. Adjacent to SPEDA in applying AI to unstructured clinical text inside hospital EHRs, with a narrower focus on trial recruitment.
• Lifebit: Genomics and biomedical data platform that federates and structures health data for research use, including via trusted research environments. Overlaps with SPEDA on making sensitive hospital data usable for research while preserving privacy, and operates across European genomics and clinical data.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

Investors1 record

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 Speda