Engineering the human data foundation for embodied intelligence.
With a core focus on Physical AI, Vision-Language-Action (VLA) models, and embodied intelligence, Flipside AI delivers high-integrity, training-ready datasets that enable AI systems to perceive, reason, and act in real-world environments.
Precision-Driven AI Data Annotation & Labeling Solutions for Your Entire AI Lifecycle.
As a wholly-owned subsidiary of Nexscient, Inc., Flipside AI provides data engineering products and services specializing in structured data collection, annotation and labeling, human judgment workflows, and quality-controlled curation pipelines that power the new frontier of advanced AI systems.
With a core focus on Physical AI, Vision-Language-Action (VLA) models, and embodied intelligence, Flipside AI delivers high-integrity, training-ready datasets that enable AI systems to perceive, reason, and act in real-world environments.
Flipside AI operates at the intersection of real-world sensory data acquisition, human-in-the-loop supervision, and production-grade dataset engineering, providing scalable solutions for AI teams building systems that must function beyond text and static images; inside homes, workplaces, factories, and dynamic environments.




Delivering Quality Deep Data Annotation and Labeling Services for the Next AI Frontier
Quality & Accuracy
Security & Privacy
Fully Scalable
Competitive Pricing
Empowering Physical AI with the Human Touch
Our services cover the entire machine-learning lifecycle. We are your data partner as you iterate and optimize your model. Our data annotation process starts with annotation optimization and then brings on experienced professionals for task design and deployment, annotation, and quality verification. Throughout the process, we continuously calibrate the project for quality improvement.
Trained Professional Annotators
Our workforce partners can source specialized talent on demand to match the needs of each engagement. For complex annotation programs, we recruit annotators with IT and Data Science backgrounds who are already trained in computer vision and natural language processing workflows. Each team member is then further trained on the unique requirements and nuances of the client’s project and must qualify through high-accuracy benchmark tasks before joining production.
Productivity at Global Scale
Our team can rapidly scale to thousands of skilled data labeling specialists across the globe. We can source project-specific talent to meet precise requirements, including language capabilities, certifications, security clearances, and specialized subject matter expertise. For federal and healthcare engagements, we partner with annotation teams in the U.S. and Europe to support projects requiring compliance with HIPAA, ITAR, EAR, and GDPR standards.
QC Checks and Calibration for Assured Quality
Throughout the annotation lifecycle, we continuously monitor, measure, and refine annotator performance using proven QA methodologies, including ground-truth validation and reviewer scoring. As annotations are submitted, clients can review, evaluate, and approve deliverables directly within the QC platform. By combining in-platform scoring, Flipside AI’s internal quality control processes, client feedback, and ongoing project calibration, we ensure our annotation workforce consistently delivers the scale, precision, and reliability your project demands.













Powering the World's Most Advanced AI Models
Vision Models
We engineer high-precision human intelligence for advanced vision systems, from 2D imagery to 3D LiDAR, sensor fusion, and embodied robotics environments.
Language for Action AI
High-precision supervision and reasoning data for agents, instruction workflows, and embodied systems.
Physical AI Operations
Human-in-the-loop oversight, teleoperation, and real-world validation for embodied and high-stakes AI systems.
Flipside AI Compliance
Flipside AI is a Leading Provider of AI Data Training Services
revenues over last 4 years
processed to date
and contractors retained
of data experience


