Provides a visual intelligence platform that integrates and analyzes diverse visual data sources, such as CCTV, drones, and satellites, to extract actionable insights and detect patterns. It enables AI developers and machine learning engineers to improve model reliability by identifying and correcting data failures, optimizing performance, and scaling data processing for petabyte-sized datasets.
Funding
$4.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FCFounders
Product
Problem
Machine learning (ML) engineers face challenges in ensuring the reliability and performance of computer vision models due to data failures and the complexities of managing large, diverse visual datasets. Traditional methods for identifying and correcting data issues are often manual, time-consuming, and do not scale effectively to petabyte-sized datasets. This can lead to delayed model deployment and suboptimal performance in real-world applications.
Solution
Tenyks provides a visual intelligence platform that enables ML engineers to improve the reliability and performance of their computer vision models. The platform integrates diverse visual data sources, including CCTV, drones, robots, media, and satellites, transforming raw footage into actionable insights. It allows users to detect, visualize, and correct data failures, optimize model performance, and scale data processing efficiently. By providing tools for failure analysis, model performance comparison, scenario analysis, and data quality analysis, Tenyks helps teams ship better models faster.
Target Audience
The primary users are data analysts and machine learning engineers within Fortune Global 500 companies and other industry-leading organizations working with computer vision data.
Features
- Multi-modal search to find specific objects, events, people, and activities across large visual data assets
- Interactive dashboards to monitor and compare trends over time and generate comprehensive reports
- Drag-and-drop integration with a user-friendly UX, SDK, and private cloud storage connectivity
- Scalable data processing to handle petabytes of visual data from various sources
- Failure analysis to detect, visualize, and correct data failures
- Model performance comparison to ship industry-leading models quickly
- Scenario analysis to compare model performance on user-defined data slices
- Data quality analysis to visualize, identify, and correct issues in data