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
About
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In Mind Supernova
Company Updates & Technology Articles
2025-08-23 20:31:28
We’re excited to introduce support for 3D, LiDAR and point cloud data. With this latest release, we’ve created the first unified and scalable Physical AI suite, purpose-built for AI teams developing robotic perception, VLA, AV or ADAS systems.
2025-08-24 12:55:15
Learn how to leverage Krippendorff’s Alpha to evaluate the quality of your annotated sets and inter-rater reliability (IRR).
Learn how rubric-based evaluation and supervised fine-tuning work together to shape and measure LLM performance with human judgment at scale.
2025-08-24 12:55:16
Culturally adaptive AI enables accurate, respectful communication by going beyond translation to capture nuance and context.
2025-08-24 12:55:17
Expert panelists from Google, Meta, Amazon, NVIDIA, Microsoft, and Mind Supernova discuss what it takes to build safe, scalable, and multilingual AI systems
Protect your AI strategy with a neutral data partner. Learn why independence matters in today’s market.
2025-08-24 12:55:18
Explore key insights from ICLR 2025 on advancing AI safety, human alignment, and trustworthy model evaluation.
2025-08-24 12:55:19
Explore strategic insights from Mind Supernova and IDC on selecting foundation models for GenAI applications. Learn how human evaluation and structured processes drive better model alignment, performance, and ROI.
Explore key takeaways from ICLR 2025, from LLM safety to culturally aware AI—and why human-in-the-loop data is more vital than ever.
2025-08-24 12:55:20
Learn how to leverage adversarial prompting to mitigate threats to large language models, such as prompt injection vulnerabilities.
NVIDIA GTC 2025 shed light on the current AI landscape and the rapid evolution of Agentic AI from a dream to a reality.
2025-08-24 12:55:21
Mind Supernova played a critical role at HumanX 2025, leading industry conversations about the human element in AI development.
