RoboFLO AI is an AI-powered SaaS platform that ingests raw robotics sensor data — camera feeds, LiDAR scans, IMU streams — and uses AI to auto-label, clean, organize, and version your datasets. Go from raw robot data to trained AI models in hours, not months. Fully cloud-based. Pay per GB.
Example — See How It Works
NeuralyxAI, a warehouse robotics company, uploads 50 TB of LiDAR and camera data from their picking robots to RoboFLO AI. Our AI engine auto-labels every object, removes duplicate frames, cleans sensor noise, and delivers a versioned, training-ready dataset — turning 6 weeks of manual annotation into 4 hours. NeuralyxAI then exports directly to PyTorch and retrains their grasp-planning AI model overnight.
Our AI-powered SaaS platform handles every step of the robotics data pipeline — from raw sensor ingestion to training-ready dataset export. Here's what AI does for you.
Upload raw camera, LiDAR, or depth sensor data — RoboFLO AI automatically labels objects, scenes, and events using state-of-the-art AI vision models. No manual annotation needed.
AI detects and removes duplicates, corrupted frames, sensor noise, and low-quality samples. Your datasets come out clean and ready for training.
Every dataset is versioned automatically. Track changes, compare iterations, roll back to previous versions, and collaborate across your robotics AI team.
Export training-ready datasets directly to PyTorch, TensorFlow, Hugging Face, or your custom ML pipeline with one click. AI formats everything automatically.
Combine camera, LiDAR, IMU, GPS, and depth data into unified, synchronized datasets. AI aligns timestamps and coordinate frames automatically.
Track data volume, labeling accuracy, pipeline throughput, and cost per dataset. AI-powered insights help you optimize your robotics data workflow.
Roadmap
AI generates synthetic training data to augment real sensor datasets — fill gaps, handle edge cases, and expand coverage without collecting more field data.
Roadmap
AI identifies which unlabeled samples would most improve your model's performance, so you label smarter — not harder.
RoboFLO AI is built by a founding team with deep experience in robotics, AI infrastructure, and enterprise SaaS. We're on a mission to make AI-powered data processing accessible to every robotics team in the world.
CEO
Co-founder and CEO of RoboFLO AI. 10+ years in robotics and enterprise software. Leads company strategy, product vision, and go-to-market. Deep domain expertise in AI-powered data pipelines, industrial automation, and scaling robotics AI from prototype to production.
LinkedIn ProfileCTO
Co-founder and CTO of RoboFLO AI. 10+ years building distributed systems, cloud-native platforms, and AI infrastructure. Architects the AI data engine that powers automated labeling, sensor data processing, and ML pipeline integration at scale.
From autonomous vehicles to agricultural drones, RoboFLO AI's AI-powered SaaS platform helps robotics teams across every industry turn raw sensor data into training-ready AI datasets.
Stop wasting months on manual data labeling. RoboFLO AI is the cloud-native, AI-first SaaS platform purpose-built to turn raw robotics sensor data into training-ready datasets.
No hardware to install, no infrastructure to manage. Upload your robot sensor data from anywhere — RoboFLO AI processes everything in the cloud. Subscribe and start in minutes.
Our AI models handle labeling, cleaning, deduplication, and formatting. What used to take a team of annotators weeks now takes RoboFLO AI hours — with higher accuracy.
Start with a free tier, scale to petabytes. Pay only for the data you process. No upfront contracts, no seat licenses — just simple, transparent SaaS pricing.
RoboFLO AI is the SaaS data engine that turns raw robotics sensor data into training-ready AI datasets — automatically. Join the waitlist and be the first to access our AI-powered platform.