Provides a data management platform that uses event-based triggers to collect and process only the most relevant subsets of data from autonomous systems, transforming raw big data into actionable "Smart-Data." This approach reduces data overload, bridges the simulation-reality gap, and ensures compliance with privacy regulations, enabling engineering and operational teams to optimize performance and collaboration.
Funding
$10.1M 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.
SIFounders
Product
Problem
Autonomous systems generate vast amounts of raw data, leading to data overload and making it difficult to extract relevant information for engineering and operational teams. Traditional data management approaches struggle to efficiently identify and process the most critical data subsets, hindering innovation and optimization. Transferring learnings between real-world scenarios and simulations is also complex, and compliance with data sharing and privacy regulations poses additional challenges.
Solution
Heex Technologies offers a Smart-Data Platform that uses event-based triggers to collect and process only the most relevant data from autonomous systems, transforming raw big data into actionable insights. By focusing on pertinent data, the platform enables engineering teams to extract small, relevant data packages at the edge or in the cloud. This approach improves productivity, optimizes costs and resources, and facilitates better collaboration across organizations by seamlessly distributing relevant datasets to the right teams. The platform helps AI companies find the "needle in the haystack" by specifically focusing on the most pertinent data.
Target Audience
The primary users are engineering teams, operational teams, data science teams, robotics engineers, in-line managers, and process engineers working with autonomous systems in industries such as AMRs, industrial robots, smart mobility, and off-road autonomy.
Features
- Event-based data collection with pre-set triggers to focus on the most relevant data.
- Edge and cloud data extraction for flexible deployment.
- Automated transformation of raw big data into Smart-Data.
- Seamless data distribution across teams to improve collaboration.
- Software agents that integrate with any robotic control system.
- OAuth 2.0 for logins, JWT for API authentication, and HTTPS (TLS) for agent-to-cloud communication.
- Adaptable software agent framework and SDK for customization.
- Over-the-air reprogramming of triggers and conditions from a centralized platform.