ACCELERATE PHYSICAL AI DEPLOYMENT & ELIMINATE OPERATIONAL RISK
THE CHALLENGE OF PHYSICAL AI
Infinite edge cases generated by the “curse of dimensionality”.
Debug bottleneck due to opaque nature of neural models + high volume of test cases.
Unpredictable AI is probabilistic and can hallucinate.
THE REMNAV ADVANTAGE
Taming the long tail Automated adversarial agents let computing do the work, generating an unlimited number of hostile stress tests.
Fighting AI with AI We deploy AI to analyze massive volumes of test data, automatically pinpointing root causes to replace manual guessing.
Ultimate safety net Our patented, ultra-low latency cloud path provides VLM/VLA reasoning and a human-in-the-loop teleoperation fallback.
BUILD
Slash Integration Time. Start Application Development on Day 1.
RemCore
- Complete Autonomy Stack. We integrate NVIDIA foundation models and build the missing blocks (e.g., Visual Servoing) to ensure a gap-free architecture.
- Unified & Harmonized. No more “CUDA Hell.” All blocks are brought to identical OS/CUDA versions with normalized interfaces, eliminating integration friction.
- Simulation-Ready Rigging. Comes pre-integrated with Isaac Sim—complete with sensor rigging, physics articulation, and ROS bridging. Verified out-of-the-box.
TEST
Automate Stress Testing & Eliminate the Debugging Bottleneck
NO-CODE STRESS TESTING
RemTest
- Stop coding scenarios. Current tools require error-prone manual scripting that misses the “Long Tail”.
- Generative Adversarial Agents. We use computing to permute finite behaviors, generating thousands of hostile scenarios (cut-ins, aggressive braking) automatically.
WHITE BOX DIAGNOSTICS
RemDiag
- Stop stepping through code. Current tools are black box and only identify that a test failed.
- Automated Localization. Pinpoint the exact block that failed using white-box inspection, rather than just seeing the final crash.
AI ROOT CAUSE ANALYSIS
RemRCA
- Stop guessing. Manual correlation of high-dimensional data with 2D heatmaps and tables is impossible.
- AI-Driven Clustering. We use vector embeddings to cluster similar failure types and provide a clear, text-based root cause analysis (e.g., sun glare).
DEPLOY
Close the Reality Gap. Eliminate Downtime. Future Proof your Fleet..
CLOSE THE REALITY GAP
RemGap
- Automated Sim-to-Real divergence identification. AI analyzer flags real-world autonomy stack deviation from learned baseline (e.g., erratic planning, perceptual confusion, or unsafe trajectories).
RemTransfer
- True Closed-Loop Verification. Traditional replay logs are static. RemTransfer enables reactive real-to-sim reproduction. We synthesize new sensor data from failure logs in real-time, allowing you to verify the fix against the robot’s new behavior.
ELIMINATE DOWNTIME. FUTURE PROOF.
RemDrive
- Human-in-the-loop teleoperation. Patented ultra-low latency video compression gives remote operators “in-cab” proficiency, ensuring zero downtime when autonomy stack needs help.
- Cellular, Starlink or Wi-Fi. Multi-modal
RemCloud
- Cloud based VLM/VLA. Uses unbounded VLM/VLA models as a safety overlay to handle edge cases the robot cannot solve.
- Future Proof. Deploy new AI capabilities and logic in the cloud instantly, unconstrained by the limitations of edge computing hardware.
SERVICES
SPECIALIZED ENGINEERING: From Architecture to Optimization
SYSTEM ARCHITECTURE
- Full-Stack Design: We help you select the right sensors and compute, design the safety architecture, and deploy the infrastructure.
- Cloud & Teleop: Set up the complete RemCloud and RemDrive pipeline for human-in-the-loop operations.
- Component Selection: Validating sensor suites for perception-based control.
MODEL REMEDIATION & OPTIMIZATION
- Fix Underperforming AI: When off-the-shelf models fail, we intervene to improve inputs, tune, retrain, or replace the critical blocks.
- CUDA Optimization: optimize latency and memory usage for edge compute (Jetson/Orin).
- Model Replacement: Swap unfit architectures for domain-specific alternatives.
CUSTOM SKILLS & DATA
- Pixel-Heavy Behaviors: We build custom behavior trees and datasets for tasks that rely heavily on vision.
- Complex Skills: Examples, Fork insertion, trailer loading, and manipulation handoffs.
- Training Data Extraction: Instrument expert human operators (e.g., excavators trenching) to capture “action-perception” pairs for training.
ABOUT
REMNAV is founded a group of Silicon Valley veterans with deep backgrounds in Graphics, Video, Computing, and AI.
Gopal Solanki
Graphics and Computing
- SVP NVIDIA, CEO Magnum.
- Decades of hardware/software optimization leadership.
Dr. FC Jeng
Perception AI & Signal Processing
- PhD Signal Processing.
- Expert in Imaging dynamics, Neural Compression.
- ATT Bell Labs, Magnum.
Dr. Greg Lee
Mission-Critical System Design
- PhD Math, MIT.
- Expert in complex, fault-tolerant software design.
- Google.
GET IN TOUCH
Ready to explore how REMNAV can transform your operations? Whether you are interested in our physical AI solutions, stress-testing capabilities, deployment tools, or just want to learn more, we would love to hear from you.