Draft:DogBase
Submission declined on 21 February 2026 by MightyRanger (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
This draft is not adequately supported by reliable sources. Wikipedia's verifiability policy requires that all content be supported by reliable sources.
Declined by Dan arndt 12 months ago.
|
This draft's references do not show that the subject meets Wikipedia's criteria for inclusion. The draft requires multiple published secondary sources that:
Declined by Samoht27 17 months ago.
|
Submission declined on 18 February 2025 by KylieTastic (talk). This draft's references do not show that the subject meets Wikipedia's criteria for inclusion. The draft requires multiple published secondary sources that:
Declined by KylieTastic 17 months ago.
|
| Type | Private |
|---|---|
| Industry | Software, Artificial intelligence, Working dog training |
| Founded | 2023 |
| Founders | Almog Koren, Lincoln Rychecky |
| Headquarters | Boulder, Colorado and Las Vegas, Nevada, United States Tallinn, Estonia |
| Products | DogBase (software platform) |
| Website | https://www.dogbase.co/ |
DogBase is a business-to-business software platform designed for the management, training, and performance tracking of professional working dogs. The platform is used by organizations involved in search and rescue (SAR), law enforcement, military, service dog programs, and other professional K9 operations.[1] DogBase integrates digital logging, analytics, and artificial intelligence–based tools to support training documentation, operational oversight, and canine health management.[2]
Overview
DogBase was developed to address inefficiencies in professional working dog training and documentation, particularly the reliance on paper records, spreadsheets, and fragmented digital tools. The platform provides a centralized system for logging training sessions, tracking operational activity, and managing health and performance data across individual dogs and teams.
The software is designed for use across multiple devices, allowing handlers and trainers to record data in the field and review reports through desktop or mobile interfaces.
Features
DogBase includes functionality intended to support training consistency, oversight, and long-term performance analysis:
- Digital logging – Structured recording of training sessions and operational activities via mobile or desktop devices.
- Performance tracking – Analytics and reports covering training volume, outcomes, and historical trends.
- Artificial intelligence tools – Automated summaries and data-driven insights generated from logged training and operational data.[2]
- Health and medical records – Tracking of vaccinations, medications, veterinary visits, and wellness information.
- Team and program management – Support for organizations managing multiple dogs, handlers, and locations.
Applications
DogBase is used across a range of professional working dog disciplines, including:
- Search and rescue (SAR)
- Law enforcement and police K9 units
- Military working dogs
- Explosive and narcotics detection
- Service and assistance dog programs
- Competitive and professional dog sports
The platform is intended to support documentation, compliance, and operational readiness across these domains.
Company history
DogBase was founded in 2023 by Almog Koren and Lincoln Rychecky.[3] The company was established to apply modern software and data analysis techniques to professional working dog training and operations.
Koren's background as a search-and-rescue K9 handler and software engineer informed the platform's focus on practical field use, while Rychecky's experience in backend engineering, artificial intelligence, and large-scale data systems shaped the technical architecture of the platform.
Founders
Almog Koren is a software engineer and search-and-rescue K9 handler. His experience in professional dog training and operational deployments influenced the development of DogBase's training and documentation workflows.
Lincoln Rychecky is a backend engineer and serves as co-founder and chief technology officer of DogBase. He holds a Master's degree in Computer Science from the University of Colorado and specializes in artificial intelligence, machine learning, and large-scale data systems. At DogBase, he oversees platform architecture and the application of data-driven and AI-based analysis tools.
Media and recognition
DogBase has been featured in industry publications and has presented at professional conferences related to law enforcement, border security, and working dog operations.[4][5] The company has appeared in Police K-9 Magazine[6] and participated in events such as the World Police Summit[7] and international police K9 conferences. The platform has also been utilized by organizations such as Frontex, the European Border and Coast Guard Agency.[8]
Technology and data approach
DogBase emphasizes structured data collection and analytics to support objective evaluation of training and operational performance. The platform applies machine learning techniques to identify trends, patterns, and workload indicators across training and operational data.
According to the company, users retain ownership of their data, and training records are not sold or monetized.
References
- ^ "DogBase brings its disruptive AI technology to the fight against domestic violence". EIN Presswire. February 28, 2023.
- ^ a b "DogBase revolutionizes K9 training with innovative generative AI features". EIN Presswire. May 23, 2024.
- ^ "Here are the 12 startups in the first Techstars Tech Central program in Sydney". Startup Daily.
- ^ "DogBase to present workshop at World Police Summit 2024 on use of AI in K9 security and search and rescue". EIN Presswire. August 28, 2023.
- ^ "DogBase to present at the 11th Annual International Police K-9 Conference on AI's role in working dog training". EIN Presswire. February 20, 2025.
- ^ "DogBase: How Tomorrow's Working Dogs Train". Police K-9 Magazine. No. 92.
- ^ "World Police Summit". World Police Summit.
- ^ "Frontex". Frontex.
External links
- https://www.dogbase.co/ Official website
- https://www.dogbase.co/about Company information
- https://www.dogbase.co/press-releases Press releases and media coverage
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.


- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.