Mind Supernova Data EngineData for training models
Data AnnotationPrecise labeling to enhance AI model accuracy
Data CollectionCurated datasets tailored for AI training
Data ValidationReliable checks to ensure dataset integrity
Labeling servicesScalable labeling for diverse AI applications
For AutomotiveUnlock L2 to L5 autonomy
Mind Supernova EvaluationEvaluation of AI models and applications
For Model DevelopersModel evaluations and red teaming
AI Safety & Red TeamingTest robustness, risks, and system safety
Human-synthetic DataBlend real and synthetic data for stronger AI
Data Annotation
Data Collection
Data Validation
Labeling Services
For Automotive
For Model Developers
AI Safety & Red Teaming
Human-synthetic Data
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In Mind Supernova
Company Updates & Technology Articles
2025-08-24 13:19:54
Mind Supernova is gearing up for some of the world’s leading industry events this summer. Our team will be exhibiting at conferences and trade shows around the globe, showing
2025-08-24 13:19:55
For many organizations, the temptation to annotate data for machine learning (ML) projects in-house is hard to deny. These companies typically feel that using internal
2025-08-24 13:19:57
Mind Supernova is pleased to announce that we have received a 2019 Donor Award from Translators Without Borders (TWB). The award is part of TWB’s annual Access to Knowledge award
2025-08-24 13:19:59
Mind Supernova recently exhibited at AutoSens Detroit, where we shared our approach to data collection and annotation for in-car navigation, infotainment, and monitoring, as well as
2025-08-24 13:20:00
Mind Supernova recently sponsored the IEEE International Conference on Acoustics, Speech, and Signal Processing (iCASSP) in Brighton. Our VP of Business Development in Europe, Dorota
2025-08-24 13:20:01
Mind Supernova is excited to announce our official ranking as one of the largest language service providers (LSPs) in the global translation and interpreting industry. Issued May 2019
2025-08-24 13:20:02
Machine learning (ML) algorithms are generally only as good as the data they are trained on. Bias in ML training data can take many forms, but the end result is that it can
2025-08-24 13:20:04
A leading provider of vehicle electronics software approached Mind Supernova to collect audio and linguistic data to help develop automatic speech recognition (ASR) capabilities for
2025-08-24 13:20:05
At the FinovateSpring 2019 conference in San Francisco, AI was a hot topic. From financial institutions using AI to power everything from personalized customer experiences to
2025-08-24 13:20:06
The Mind Supernova team is excited to be exhibiting at iCASSP (The International Conference on Acoustics, Speech, and Signal Processing) in Brighton this week. iCASSP is the world’s
2025-08-24 13:20:07
With the proliferation of mobile devices, consumers expect to stay connected, no matter where they are — especially in their car. Voice recognition in cars, however,
2025-08-24 13:20:10
For simple computer vision projects, such as recognizing a pattern in a group of images, publicly available image datasets will usually suffice to train your machine learning
