Kinometrix
Techstars '23Fort Belvoir, US · Founded 2018 · 3 employees on LinkedIn · 4 known investors
Find your way into Kinometrix
Kinometrix develops machine learning-based risk assessment tools for clinicians to identify patients at high risk of falls and prevent patient harm in healthcare settings. The platform integrates with electronic health records to support clinical decision-making without disrupting workflows.
Also known as K-FRAS
Investors · 4
How we know: Lighthouse Network Ventures Llc's portfolio page · Not right? Tell us
How we know: the Techstars portfolio · funding news · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us
How we know: a partner's Signal profile · Not right? Tell us
How we know: press coverage · Not right? Tell us
Company profile
researched Sep 2026Kinometrix offers a "Precision Patient Safety Platform" aimed at reducing hospital-acquired conditions (HACs), which the company states harm patients and cost US hospitals $98 billion annually. The platform applies machine learning to real patient electronic health record (EHR) data to assess the risk of patient harm events occurring in hospitals, and delivers real-time decision support to frontline clinicians.
The company's first solution is the Kinometrix Fall Risk Assessment Solution (K-FRAS), which automates patient fall-risk assessment using existing EHR data and returns a fall risk score together with the specific drivers of an individual patient's risk in real time. Kinometrix frames this against the problem that roughly 1 million patients fall in hospitals each year, with about a third of those events resulting in injury, and that existing clinical fall prediction tools remain subjective and imprecise. A second solution area addresses pressure injuries.
Business model
Kinometrix supplies software to hospitals and health systems, integrating its risk-prediction solutions into their existing electronic health record systems via a bi-directional API.
▸Full profile — market position, technology, go-to-market
Market position
The company targets prevention of hospital-acquired conditions, focusing initially on inpatient falls and pressure injuries.
Kinometrix positions its approach against conventional clinical prediction tools, which it describes as largely subjective and imprecise with no tool shown to be significantly more accurate than others. Its platform is designed to work within existing clinical workflows and reduce documentation requirements, in contrast to EHR-integrated tools that it says require additional documentation or work to use.
Technology
The platform is built on machine learning models developed using real patient EHR data. It is designed as a "headless" system, meaning it can be integrated with any EHR and customized to a given hospital or health system's needs, exchanging data through a bi-directional API to deliver real-time risk predictions and the underlying risk drivers.
Go-to-market
Hospitals and health systems, with the end users being frontline clinicians responsible for patient risk assessment.
Compiled by commissioned research from 2 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Competitors · 4
by search overlapCompanies competing with Kinometrix for the same Google search keywords, organic and paid, via search-intersection analysis.
In the news
▸Research sources · 2
primary sources listed
- Kinometrixkinometrix.com · web
2 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Kinometrix do?
- Kinometrix builds a machine learning platform that uses EHR data to predict hospital patient harm risks such as falls.
- Who are Kinometrix's investors?
- Kinometrix's investors include Lighthouse Network Ventures Llc, Techstars, Fabric VC, Virginia Venture Partners.
- Where is Kinometrix headquartered?
- Kinometrix is headquartered in Fort Belvoir, US.







