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Latoda

Full company profile

uuid02lou1v

Namestring
Latoda
Legal namestring
Adoxin UG
Websiteurl
latoda.de
Company typeenum
Private
Founded yearstring
-
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersMarburg, Germany
HQ citystring
Marburg
HQ countrystring
Germany
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
customized AI solutions, computer vision software, predictive analytics, anomaly detection systems, vertical AI applications
Industry1 code
1Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights)
CodeHDAEAMADPrimaryNo
NAICS code2 codes
  • Custom Computer Programming Services541511
  • Computer Systems Design and Related Services54151
SIC code2 codes
  • Services-Computer Programming Services7371
  • Services-Computer Integrated Systems Design7373
Product category
AI Software / Vertical Computer Vision & Predictive Analytics
Social media profiles1 record
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1Customized AI Solutions Development
TypeSubscription Recurring
Description

Development of customized AI solutions as features for customer products and processes, generating revenue through project-based engagements and solution licensing arrangements

latoda.de
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Latoda develops customized artificial intelligence solutions combining human-expert-like real-time computer vision, data enrichment, and predictive analytics for B2B customers in healthcare, renewable energy, and maritime sectors. Its offering includes named vertical AI products (MAR-AI for medical decision support, REN-AI for wind turbine inspection, REC-AI for event prediction) and the WindKI wind turbine SCADA anomaly detection system, delivered as integrated features inside client products and processes.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Latoda offers a portfolio of AI-powered solutions for business and industrial applications. The core offering includes customized AI solutions as features integrated into client products and processes. The product line comprises three vertical AI applications: MAR-AI (medical decision support), REN-AI (renewable energy inspection), and REC-AI (event prediction). Additionally, the WindKI project represents a specialized AI diagnostic system developed in partnership with Fraunhofer IWES for wind turbine performance optimization. All solutions are developed in Germany with a focus on computer vision, anomaly detection, predictive analytics, and process automation capabilities.

Product and service5 records
1MAR-AI
CategoryAI application / Healthcare decision support
Description

Decision support system for physicians and hospitals that uses human-expert-like real-time computer vision trained on thousands of medical images to detect relevant items during examinations (e.g., polyp detection during endoscopy), highlight findings on the live video stream, and support automated report generation.

2REN-AI
CategoryAI application / Industrial inspection
Description

Real-time AI-powered object detection solution for the renewable energy sector that detects and classifies relevant areas, objects, and items on wind turbines (e.g., rotor blade damage including rain erosion defects) to reduce maintenance costs and increase product lifetime and performance.

3REC-AI
CategoryAI application / Predictive analytics
Description

Predictive analytics system that anticipates events and behaviors reliably by analyzing historical and actual big data from various sources, enabling better and faster decisions for B2B customers such as maritime operators.

4WindKI
CategoryAI application / Wind energy diagnostics
Description

AI-supported diagnostic system for wind turbines that detects performance losses early, validates power curves (effective wind speed vs. electrical output), and identifies likely causes such as blade angle settings and operating conditions, developed in cooperation with Fraunhofer IWES using SCADA operational data, simulations, and machine-learning models.

5Customized AI Solutions
CategoryProfessional service / Custom AI development
Description

Bespoke AI solutions developed as features for client products and processes, intended to help enterprise customers generate more revenue and increase process and cost efficiency.

Scale indicator3 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-09-01
Description

Joint research collaboration developing autonomous inspection robots for wind turbine blades using multisensory data and AI analysis. Project aims to extend wind turbine service life and reduce maintenance costs through autonomous inspection capabilities.

2Fraunhofer IWES (Fraunhofer Institute for Wind Energy Systems)
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-04-01
Description

Strategic R&D partnership for the WindKI project focused on AI-based performance diagnostics for wind turbines. Fraunhofer IWES provides the 8 MW Adwen AD8 research turbine data, simulation expertise, validation methods, and deep domain knowledge in wind turbine systems. Latoda develops the AI-based analysis system combining sensor data and machine learning to identify anomalies.

latoda.de
Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight4 records

Each record includes

Type, Description

Peers10 records
TypeEmerging player
Description

Aleph Alpha is a German AI foundation model company, a thematic and geographic peer to Latoda as another high-profile German AI venture building enterprise AI capabilities, though operating at a different layer of the stack.

TypeDirect peer
Description

Nautilus Labs applies AI to maritime voyage optimization and vessel performance, directly overlapping with Latoda's REC-AI product for ship owners and managers seeking event and efficiency predictions.

TypeDirect peer
Description

Medtronic's GI Genius is the leading AI-assisted polyp detection system for colonoscopy, directly competing with Latoda's MAR-AI on the same use case, customer segment (hospitals and gastroenterologists), and computer vision modality.

TypeEmerging player
Description

Iterative Health applies AI to gastroenterology workflows including polyp detection, an emerging direct competitor to Latoda's MAR-AI in the AI-assisted endoscopy market.

TypeEmerging player
Description

Orca AI provides AI-powered situational awareness and predictive analytics for commercial shipping, an emerging competitor to Latoda's REC-AI in the maritime vertical with similar predictive analytics capabilities.

TypeDirect peer
Description

ONYX InSight provides AI-driven analytics and condition monitoring for wind turbine drivetrains and blades, directly competing with Latoda's REN-AI and WindKI products on the same wind O&M use case and customer segment.

TypeDirect peer
Description

Understory specializes in AI and sensor-based analytics for renewable energy asset performance, directly comparable to Latoda's REN-AI and WindKI solutions targeting wind turbine operators and inspection companies.

TypeEmerging player
Description

Wision A.I. develops AI algorithms for polyp detection and characterization during colonoscopy, making it a direct emerging competitor to Latoda's MAR-AI in the medical imaging computer vision space.

TypeBroad incumbent
Description

Olympus is the dominant endoscopy hardware vendor and is integrating AI-based detection into its imaging platforms, overlapping with Latoda's MAR-AI as both a potential partner and a broad incumbent competitor in AI-assisted endoscopy.

TypeDirect peer
Description

Fujifilm's CAD EYE is an AI-powered detection system for colonoscopy lesions, directly competing with Latoda's MAR-AI in the same endoscopic decision-support workflow and target hospital customer base.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Customer concentration

Classification, Details

Named customers3 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability7 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Latoda

AI Software / Vertical Computer Vision & Predictive Analyticslatoda.de

Latoda firmographics

Firmographics
Name
Latoda
Legal name
Adoxin UG
Website
https://latoda.de
Company type
Private
Operating status
Operating
Headcount range
1–10 employees
Ownership category
akta.pro rank

Where Latoda is headquartered

Location

Headquarters

HQ city
Marburg
HQ country
Germany
HQ region
Europe

Offices1 record

Markets served

Latoda business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

  1. Customized AI Solutions Development: Development of customized AI solutions as features for customer products and processes, generating revenue through project-based engagements and solution licensing arrangements

Go-to-market motion1 record

Distribution channels1 record

Marketing channels3 records

Latoda product offering

Product offering

Core offering

Latoda develops customized artificial intelligence solutions combining human-expert-like real-time computer vision, data enrichment, and predictive analytics for B2B customers in healthcare, renewable energy, and maritime sectors. Its offering includes named vertical AI products (MAR-AI for medical decision support, REN-AI for wind turbine inspection, REC-AI for event prediction) and the WindKI wind turbine SCADA anomaly detection system, delivered as integrated features inside client products and processes.

Product overview

Latoda offers a portfolio of AI-powered solutions for business and industrial applications. The core offering includes customized AI solutions as features integrated into client products and processes. The product line comprises three vertical AI applications: MAR-AI (medical decision support), REN-AI (renewable energy inspection), and REC-AI (event prediction). Additionally, the WindKI project represents a specialized AI diagnostic system developed in partnership with Fraunhofer IWES for wind turbine performance optimization. All solutions are developed in Germany with a focus on computer vision, anomaly detection, predictive analytics, and process automation capabilities.

Differentiator

Problem solved

Functional benefit

Products and services

  • MAR-AI Decision support system for physicians and hospitals that uses human-expert-like real-time computer vision trained on thousands of medical images to detect relevant items during examinations (e.g., polyp detection during endoscopy), highlight findings on the live video stream, and support automated report generation.
  • REN-AI Real-time AI-powered object detection solution for the renewable energy sector that detects and classifies relevant areas, objects, and items on wind turbines (e.g., rotor blade damage including rain erosion defects) to reduce maintenance costs and increase product lifetime and performance.
  • REC-AI Predictive analytics system that anticipates events and behaviors reliably by analyzing historical and actual big data from various sources, enabling better and faster decisions for B2B customers such as maritime operators.
  • WindKI AI-supported diagnostic system for wind turbines that detects performance losses early, validates power curves (effective wind speed vs. electrical output), and identifies likely causes such as blade angle settings and operating conditions, developed in cooperation with Fraunhofer IWES using SCADA operational data, simulations, and machine-learning models.
  • Customized AI Solutions Bespoke AI solutions developed as features for client products and processes, intended to help enterprise customers generate more revenue and increase process and cost efficiency.

Companies that use Latoda

Customer profile

Named customers3 records

Segments3 records

Ideal customer profiles3 records

Latoda technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature6 records

Latoda partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered core.

  • University of WürzburgcoreStrategic or Co-development Partner · 1 September 2025Joint research collaboration developing autonomous inspection robots for wind turbine blades using multisensory data and AI analysis. Project aims to extend wind turbine service life and reduce maintenance costs through autonomous inspection capabilities.
  • Fraunhofer IWES (Fraunhofer Institute for Wind Energy Systems)coreStrategic or Co-development Partner · 1 April 2024Strategic R&D partnership for the WindKI project focused on AI-based performance diagnostics for wind turbines. Fraunhofer IWES provides the 8 MW Adwen AD8 research turbine data, simulation expertise, validation methods, and deep domain knowledge in wind turbine systems. Latoda develops the AI-based analysis system combining sensor data and machine learning to identify anomalies.

Scale indicators3 records

Recent moves5 records

Expansion highlights4 records

Latoda competitors and assessment

Company assessment

Emerging players

  • Aleph Alpha: Aleph Alpha is a German AI foundation model company, a thematic and geographic peer to Latoda as another high-profile German AI venture building enterprise AI capabilities, though operating at a different layer of the stack.
  • Iterative Health: Iterative Health applies AI to gastroenterology workflows including polyp detection, an emerging direct competitor to Latoda's MAR-AI in the AI-assisted endoscopy market.
  • Orca AI: Orca AI provides AI-powered situational awareness and predictive analytics for commercial shipping, an emerging competitor to Latoda's REC-AI in the maritime vertical with similar predictive analytics capabilities.
  • Wision A.I. Wision A.I. develops AI algorithms for polyp detection and characterization during colonoscopy, making it a direct emerging competitor to Latoda's MAR-AI in the medical imaging computer vision space.

Direct peers

  • Nautilus Labs: Nautilus Labs applies AI to maritime voyage optimization and vessel performance, directly overlapping with Latoda's REC-AI product for ship owners and managers seeking event and efficiency predictions.
  • Medtronic (GI Genius): Medtronic's GI Genius is the leading AI-assisted polyp detection system for colonoscopy, directly competing with Latoda's MAR-AI on the same use case, customer segment (hospitals and gastroenterologists), and computer vision modality.
  • ONYX InSight: ONYX InSight provides AI-driven analytics and condition monitoring for wind turbine drivetrains and blades, directly competing with Latoda's REN-AI and WindKI products on the same wind O&M use case and customer segment.
  • Understory: Understory specializes in AI and sensor-based analytics for renewable energy asset performance, directly comparable to Latoda's REN-AI and WindKI solutions targeting wind turbine operators and inspection companies.
  • Fujifilm (CAD EYE): Fujifilm's CAD EYE is an AI-powered detection system for colonoscopy lesions, directly competing with Latoda's MAR-AI in the same endoscopic decision-support workflow and target hospital customer base.

Broad incumbents

  • Olympus (medical AI): Olympus is the dominant endoscopy hardware vendor and is integrating AI-based detection into its imaging platforms, overlapping with Latoda's MAR-AI as both a potential partner and a broad incumbent competitor in AI-assisted endoscopy.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Customer concentration

Latoda social profiles

Digital presence

Latoda financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Latoda leadership team

Management profile

Number of profiles

Profiles1 record

Latoda funding detail

Funding detail

Funding overview

Funding rounds

Investors

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

Latoda M&A and investment

M&A and investment

M&A

Investments

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

Frequently asked questions about Latoda

What does Latoda do?

Latoda develops customized artificial intelligence solutions combining human-expert-like real-time computer vision, data enrichment, and predictive analytics for B2B customers in healthcare, renewable energy, and maritime sectors. Its offering includes named vertical AI products (MAR-AI for medical decision support, REN-AI for wind turbine inspection, REC-AI for event prediction) and the WindKI wind turbine SCADA anomaly detection system, delivered as integrated features inside client products and processes.

Is Latoda a public or private company?

Latoda is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Latoda founded?

Latoda was founded in -1. It employs 1 to 10 people.

Where is Latoda based?

Latoda is headquartered in Marburg, Germany, in the Europe region.

How does Latoda make money?

One revenue line is on record: customized AI Solutions Development.

Who are Latoda's main competitors?

Emerging players on record are Aleph Alpha, Iterative Health, Orca AI and Wision A.I.. Direct peers are Nautilus Labs, Medtronic (GI Genius), ONYX InSight, Understory and Fujifilm (CAD EYE). Olympus (medical AI) is listed as a broad incumbent.

Does Latoda have an API?

No public API is recorded for Latoda.

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