Problems we solve
The Trust Gap
To compete, you need the best robots. But buying globally can mean unclear connections to vendor clouds.
Data Ownership Risk
How do you keep your map and sensor data yours? Default cloud connections can send sensitive data to vendor servers you don't control.
AI Safety You Can't Verify
How do you verify the robot's brain? Without a control boundary, firmware updates can change behavior without notice and bypass your safety process.
Innovation Gets Blocked
Security concerns shouldn't force you into worse options. If you can't trust vendors, you lose access to the best tech and get stuck with one vendor.
Ownership
The Power of
True Ownership
Robots are no longer isolated machines; they are connected systems. Without a control layer, it's hard to know who owns what and who is responsible.
Robotitan keeps control where it belongs: with your organization.
Fragmented Operations
- Unclear data flows outside the organization
- Hidden data pipelines
- Unclear responsibility for updates
Unified Command
- Clear accountability and ownership
- Compliance and regulatory alignment
- Prevent direct vendor access to operational data
Our Solution
Control And Operations Layer For AI Robots
Robotitan provides a control and operations layer for AI embedded, connected robots. We sit between robots and the cloud, so organizations decide how data is shared, how software is updated, and how robots operate over time.
Freedom To Choose
Source the best robots globally without vendor lock-in.
Full Ownership
Complete control of data, connectivity, and updates.
One Control Plane
Unified management for multi-vendor robot fleets.
Flexible Deployment
Cloud managed or integrated with your existing cloud.
How it works
The Control Boundary
Robotitan sits between robots and the cloud as the control boundary. It lets you manage data and updates in one place.
1. Connect
Robots connect through Robotitan's secure boundary.
2. Govern
Policies approve data transfers and software updates.
3. Access
Cloud services run on your terms.
Zero Trust Architecture
The Secured Wrapper
We do more than encrypt data: we protect the whole communication path with a strict, zero-trust wrapper.
Outbound-Only mTLS Tunnel
No open inbound ports. The edge agent starts the mTLS connection, so only authenticated traffic flows.
Per-Packet Integrity
Every command is signed and checked on the robot before it runs, blocking man-in-the-middle attacks.
Secure Inference Boundary
Protected AI
Environment
Run AI models inside a hardware-backed secure enclosure, protecting sensitive logic and data from tampering.
Isolated Model Execution
AI models run in an isolated environment, which helps prevent inspection or tampering by compromised software.
IP & Weight Protection
Your model weights are stored and handled with strong encryption, so your core IP never hits disk unencrypted.
Hardware-Backed Security
Use TEE (Trusted Execution Environments) to anchor security directly in the hardware.
End-to-End Synchronization
Unified Data Transactions
We build a two-way transaction layer that connects robots, cloud infrastructure, and apps. Every state change is applied fully and can be verified.
Full-Stack Transaction Integrity
Whether it's a remote-control command, telemetry from ROS, or a policy update from the cloud, data stays consistent and verified end to end.
Multi-Protocol Normalization
We translate ROS 1, ROS 2, MAVLink, and DDS into one shared format, so different robots and your apps can work together in real time.
Transparency
The Trust Bridge
We align incentives between robot manufacturers and customers. Robotitan acts as a trusted intermediary, ensuring manufacturers get the visibility they need for support, while customers retain absolute control over sensitive operational data.
Data Ownership
Your Data, Your Cloud
Keep full control of your operational metrics. Critical robotics data stays in your private cloud, with no compromise on privacy or compliance.
Full control of operational metrics
Zero data leakage to vendors
Complete audit trail of all access
Built for scale
Growth Without Re-architecture
Expand across sites, vendors, and use cases while retaining uniform control.
Early Stage Testing
Start with a small deployment or a single lab robot.
Expanding Sites
Expand across sites, vendors, and use cases with uniform policies.
Large Scale Production
Maintain control as systems grow globally.
Get started
Staged Approach
Start with a deployment readiness review and move from pilot to production with confidence.
Readiness Review
Identify gaps and risks.
Guided Pilot
Validate policies in a controlled environment.
Production Rollout
Accelerate time to value.
