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KONUX

Transportation · Munich, Germany · Founded 2014

Combining Machine Learning algorithms and IoT to deliver software-as-a-service solutions for operation, monitoring, and maintenance process automation MoreLess

KONUX is a startup that operates in the railway industry, leveraging artificial intelligence (AI) and Industrial Internet of Things (IIoT) technologies to improve the efficiency and reliability of railway systems. The company's primary product, KONUX Switch, uses these technologies to continuously monitor and analyze the health of signalling and track components, providing actionable insights to infrastructure managers. This allows for better maintenance planning, helping to anticipate failures before they occur and determine the optimal time and type of maintenance needed.

The company's innovative approach to maintenance, known as predictive maintenance, has proven to be highly effective. By monitoring the health of point machines, which are critical to the operation of trains and are often a source of delays, KONUX Switch can reduce switch failures by 50%. This not only reduces costly and disruptive delays but also extends the lifespan of the assets and reduces lifecycle costs.

KONUX's business model involves selling its AI and IIoT-based solutions to railway infrastructure managers and operators. The company makes money by providing these clients with the tools and insights they need to improve their operations and reduce costs. By enabling data-driven decision making, KONUX helps its clients realize smoother, more efficient rail operations.

The company's focus on user experience is also noteworthy. It has redesigned the user journey across the entire lifecycle of its product, ensuring that users have easy access to the right information at the right time, with the right level of detail. This user-centric design approach makes the insights provided by KONUX Switch even more actionable.

Keywords: Railway Industry, Artificial Intelligence, Industrial Internet of Things, Predictive Maintenance, Infrastructure Management, Point Machine Health Monitoring, Data-Driven Decision Making, User-Centric Design, Operational Efficiency, Cost Reduction.

Valuation $100–500M
Revenue $1–10M
Headcount 100–500
Total funding $100–500M
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Company overview

KONUX company information

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

Status
Operational
Founded
2014
Headquarters
Munich, Germany
Employees
109
Open positions
None listed
Dealroom signal
65.9
client focusb2btechnologyArtificial IntelligencetechnologyBig DatatechnologyDeep TechtechnologyMachine LearningtechnologyIoT InternetOfThingssub industryMobilitysub industryAutonomous & Sensor Techbusiness modelSaaSsectorPredictive AnalyticssectorIndustrial IoTsectorCore AIsectorPredictive MaintenancesectorIndustry 4.0

Valuation & funding

KONUX funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
SERIES COther financing Jan 2021 $80M $320M NEA · Sanno Capital · DIVC · Richard Kramlich
SERIES BOther financing May 2019 Boundary Holding
SERIES BOther financing Feb 2019 $13M $51M NEA · MIG Capital · Alibaba · Upbeat Ventures
SERIES BOther financing Apr 2018 $20M $80M MIG Capital · NEA
GRANTOther financing Jul 2017 $1.7M European Innovation Council
SERIES AOther financing Apr 2017 Michael Baum · Warren Weiss · NEA · MIG Capital
SERIES AOther financing Apr 2016 NEA · MIG Capital · UVC Partners · Warren Weiss
SEEDOther financing May 2015 Andreas Kunze · Lothar Stein · Oliver Bücken · Michael Baum
GRANTOther financing Jul 2014 FOUNDER.org
SPINOUTOther financing Mar 2014 Technical University Munich
Showing 10 recorded eventsUnlock the complete deal history →

Financials

Revenue and workforce over time

Available revenue and workforce history. Fields without reported data are omitted.

YearRevenueGrowthEmployees
2026 $1.3M 0% 109
2025 $1.3M 0% 122
2024 $1.3M 0% 133
2023 $1.3M 0% 161
2022 $1.3M +30.2% 137
2021 $1M 125
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Growth signals

KONUX website traffic

Latest recorded traffic for KONUX is 3.7K monthly website visits, down 54.9% over the last three months. KONUX's team declined 10.7% over the past year.

Latest monthly visits3.7K 3-month web change-54.9% 1-year team growth-10.7%
Monthly website visits90 observations · Oct 2014–Jul 2026
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Comparisons

KONUX compared with similar companies

Dealroom’s weighted taxonomy model identifies the closest operating peers. Company identity and context stay open; selected comparison metrics preview what is available in the platform.

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Talent graph

KONUX's talent

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Team profiled 53 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 7 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

21 investors on KONUX's cap table

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

Seed 8 investors entered at this stage
FOUNDER.org
Andreas Kunze
Lothar Stein
Oliver Bücken
Michael Baum
Maximilian Hasler
Dennis Humhal
European Innovation Council
Series A 8 investors entered at this stage
NEA
MIG Capital
UVC Partners
Warren Weiss
Upbeat Ventures
Andy Bechtolsheim
Alibaba
Boundary Holding
Series B+ 4 investors entered at this stage
Sanno Capital
DIVC
Richard Kramlich
ATHOS Venture
Other known 1 additional known investor
Technical University Munich

Global footprint

Where KONUX has talent and traffic

Workforce by country
10 countries with
team presence
🇩🇪 Germany81.6%
🇬🇧 United Kingdom7.1%
🇮🇹 Italy2%
🇮🇱 Israel2%
🇷🇴 Romania2%
Top 5 of 10 shown

In the news

Latest news about KONUX

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

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Market sentiment

What the market is saying about KONUX

An AI-synthesized read of the highest-engagement posts about KONUX 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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