Our Data Services
At Mind Supernova, we go beyond annotation to provide a full spectrum of data services including Data Annotation, Data Collection, Data Validation, and Labeling. With one of the industry’s most highly skilled human-in-the-loop workforce solutions providers, we deliver high-quality datasets to power your machine learning models with the best tools and workflows.
We stand above the competition by offering top-tier solutions in image & video annotation, text annotation, content moderation, text classification, Natural Language Processing (NLP), audio annotation, and more.
Data Annotation
Transform raw, ambiguous data into enriched high-context training datasets for your advanced AI and ML models. Leveraging automated data labeling with expert-in-the-loop validation. We operate at a global scale, handling billions of annotations and complex multimodal data like 3D sensor fusion, video, image and audio data, including 500 annotation languages.
Data Collection
Access diverse high-quality, multimodal and multilingual data collection solutions. Our operational experience spans complex onsite moderated field operations to large-scale digital collection, which we’ve streamlined with technology. Our intuitive data collection app features on-device data capture, dynamic UI and built-in feedback and quality checks.
Labeling services
Monitor production traffic to surface quality metrics, issues and alerts. Detect anomalies (e.g. prompts that are not covered by your evaluation datasets) to add them to your test suite.
Automotive Data Engine
Enhance your Automotive Data Engine with our expert-led, post-processing and validation solutions. Our platforms offer configurable workflows, a flexible UI with deep customization, seamless system interactivity, and tailored development. This ensures your automotive models receive high-quality multimodal training data, human-in-the-loop validation, and critical safety services such as scenario stress-testing and edge-case detection.
Our Case Studies
Explore how leading organizations have partnered with us to transform raw data into actionable intelligence. Our case studies showcase real-world projects where we’ve delivered end-to-end solutions in data annotation, collection, validation, and labeling—driving innovation in industries such as automotive, healthcare, retail, and AI research.
From building safer autonomous driving systems to powering next-gen NLP models, each case study highlights the measurable impact of our expertise, scalable platforms, and human-in-the-loop solutions.
Text FinTrust Transaction Labeling & Behavioral Modeling
“Mind Supernova delivered a rigorous, production-ready dataset and an annotation workflow that integrated seamlessly with our ML ops. Their work materially improved our detection precision and reduced investigation time.”
Clinical Imaging: X-Ray, CT & MRI Annotation Suite
“We completed the initial review of Mind Supernova’s output and are delighted by the exceptional accuracy and clinical rigor. Their dataset has accelerated our pilot and given clinicians high confidence in model outputs.”
Mercato Multilingual Review Annotation & Sentiment Engine
“Mind Supernova transformed our unstructured customer data into actionable signals. Their attention to taxonomy and cross-language consistency was a game changer for our analytics team.”
Industries Empowered by Our Data Services
From monitoring crops with drones to enhancing smartphone security with facial recognition, and from powering autonomous vehicles to advancing next-gen robotics, AI is transforming every industry. But the true performance of these technologies depends on the quality of the data that powers them.
At Mind Supernova, we deliver a complete suite of Data Services — including Data Annotation, Data Collection, Data Validation, and Labeling. With our expert workforce and configurable workflows, we provide training datasets with up to 95% accuracy, ensuring your AI strategies achieve measurable impact and reliable results across Retail, Healthcare, Insurance, Agriculture, Robotics, and more.
Healthcare
Requires precisely annotated medical images (X-rays, CT scans, MRI) and patient records to support AI-assisted diagnostics, accelerate clinical research, and improve treatment outcomes with reliable decision support.
Health Insurance
Relies on expertly labeled claims documents, medical codes, and risk data to automate claim processing, detect anomalies, and enable accurate policy recommendations tailored to individual health profiles.
Cybersecurity
Demands annotated network traffic, log data, and phishing patterns to train AI systems that can detect threats, prevent fraud, and strengthen enterprise defenses against evolving cyberattacks.
Fintech
Needs clean, validated financial transaction data and labeled customer interactions to power fraud detection, risk assessment, algorithmic trading, and personalized digital banking experiences.
Robotics
Requires multimodal annotated datasets—including vision, audio, and sensor data—to enable robots to recognize environments, interact safely with humans, and perform tasks with high precision.
Logistics
Depends on structured and validated data for shipment tracking, route optimization, inventory labeling, and demand forecasting, ensuring greater efficiency and reduced operational costs.
Retail & E-Commerce
Needs annotated product images, customer reviews, and purchase behavior data to drive recommendation engines, enhance search relevance, and deliver personalized shopping experiences.
Autonomous Vehicles
Require expertly labeled data—including signboards, lane markers, pedestrians, and surrounding vehicles—to train machine learning models that ensure safe navigation, precise object detection, and reliable decision-making on the road.
Our Beliefs
1 In the coming years, the need for high-quality data annotation will increase dramatically as the world moves towards more digital solutions. Consequently, the companies will adapt more AI and machine learning-driven models to keep up with the trends and replace human-powered work processes with AI-based algorithms.
2 The best AI models require accurate data annotation, which is much more challenging than before when it was sufficient to label just a few notches on the face for training, but now with advancements in technology alone lips can have 20 points labeled, and the best results require accurate data annotation.
3 We provide best-in-class data annotation services to provide high-quality annotated data for your AI & ML algorithms.
Data Security
We are EU-GDPR compliant and SOC 2 Type 1 Organisation. Keeping your Data Safe & Secure is our priority.
Skilled Human-Powered Workforce
Our entire business processes are handled by our experts. None of our work is outsourced to freelancers.
Scalable Solutions
Our ready-to-deploy human-powered workforce can complete projects of any scale and size with fast delivery.
95%+ Best-In-Class Accuracy
At Mind Supernova our data annotators specialists annotate your data with 95% accuracy.
We have changed the game of AI data—hear it from our customers.
From RLHF to data labeling to model evaluation to enterprise apps, learn from experts why Mind Supernova is key to any AI strategy.
compliant with the following industry best practice standards and frameworks
