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KenSci

Health Tech & Medtech · Seattle, United States · Founded 2015

KenSci offers Healthcare AI platfrom & prediction apps that work across Clinical workflows, Cost Mgmt & Hospital Ops. #DeathVsDataScience MoreLess

KenSci operates in the healthcare analytics market, providing an AI-driven platform designed to optimize patient care and improve operational efficiency. The company serves large health systems, hospitals, and healthcare providers, offering tools that leverage electronic medical records (EMR) data to predict patient outcomes, manage bed capacity, and identify high-risk patients. KenSci's business model involves selling its solutions through the Azure Marketplace, with an initial free trial period followed by subscription-based pricing. The company generates revenue by enabling healthcare providers to make data-driven decisions, thereby improving patient outcomes and reducing costs. Key features include real-time bed availability tracking, risk stratification, and discharge planning. KenSci's solutions are particularly relevant in managing the COVID-19 pandemic, offering tools for case prediction, patient tracking, and resource allocation.

Keywords: AI-driven, healthcare analytics, patient care, operational efficiency, EMR data, bed management, risk stratification, COVID-19, Azure Marketplace, subscription-based.

Company overview

KenSci company information

The essential company record, classifications and operating signals in one place.

Status
Acquired
Founded
2015
Headquarters
Seattle, United States
Employees
51
Open positions
None listed
Dealroom signal
60.8
client focusb2btechnologyArtificial IntelligencetechnologyBig DatatechnologyDeep TechtechnologyMachine LearningtechnologyNanotechsub industryHealth Platformbusiness modelSaaSindustryHealthsectorRisk ManagementsectorAnalyticssectorPredictive AnalyticssectorCore AIsectorSpinout

Valuation & funding

KenSci funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
ACQUISITIONExit Jun 2021 $0 Tegria
SERIES BEquity / VC Feb 2019 $22M $88M Osage University Partners · UL Ventures · Polaris Partners · Ignition Partners
SERIES AEquity / VC Jan 2017 $8.5M $34M Osage University Partners · Ignition Partners · Mindset Ventures
SPINOUTOther financing Dec 2015 $0 University of Washington
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Financials

Workforce over time

Available workforce history. Financial fields without reported data are omitted.

YearEmployees
2026 51
2025 51
2024 51
2023 51
2022 51
2021 44
2020 58
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Growth signals

KenSci website traffic

Latest recorded traffic for KenSci is 170 monthly website visits, down 22.7% over the last three months. KenSci's team grew 0% over the past year.

Latest monthly visits170 3-month web change-22.7% 1-year team growth0%
Monthly website visits67 observations · Jan 2017–May 2023
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Comparisons

KenSci compared with similar companies

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Talent graph

KenSci's talent

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Team profiled 6 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 3 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

7 investors on KenSci's cap table

Sourced from Dealroom's funding and investor records. Investor profile links are shown where available.

Series A 5 investors entered at this stage
Ignition Partners
Osage University Partners
Mindset Ventures
Polaris Partners
UL Ventures
Other known 2 additional known investors
Tegria
University of Washington

Global footprint

Where KenSci has talent and traffic

Workforce by country
🇺🇸 United States · Seattle HQ
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In the news

Latest news about KenSci

Recent press, funding announcements, and product moves mentioning KenSci — open to read from the original sources.

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Market sentiment

What the market is saying about KenSci

An AI-synthesized read of the highest-engagement posts about KenSci on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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