Robotics, Reimagined With Safer Intelligence
Where thoughts become actions.
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Deploy VLAs that were built with safety as a priority, not an afterthought
Grounded in Real Data.
Praxis begins with a curated set of real-world robotic demonstrations that establish the model’s baseline understanding of physical dynamics, object properties, and task semantics. These trajectories define the initial action–perception mapping the model must learn before scaling. By grounding the system in real data first, all subsequent synthetic variations remain anchored to behaviors that are physically valid and operationally meaningful.
Grounded in Real Data.
Praxis begins with a curated set of real-world robotic demonstrations that establish the model’s baseline understanding of physical dynamics, object properties, and task semantics. These trajectories define the initial action–perception mapping the model must learn before scaling. By grounding the system in real data first, all subsequent synthetic variations remain anchored to behaviors that are physically valid and operationally meaningful.
Grounded in Real Data.
Praxis begins with a curated set of real-world robotic demonstrations that establish the model’s baseline understanding of physical dynamics, object properties, and task semantics. These trajectories define the initial action–perception mapping the model must learn before scaling. By grounding the system in real data first, all subsequent synthetic variations remain anchored to behaviors that are physically valid and operationally meaningful.
Scaled in Synthetic Worlds.
We then expand the dataset using large-scale synthetic scene generation. Our simulation pipeline produces millions of physics-accurate trajectories by varying environmental parameters such as lighting, textures, clutter, object attributes, sensor noise, and human motion patterns. This allows the VLA model to train on diverse, rare, or safety-critical situations that are impractical to capture in the real world.
Scaled in Synthetic Worlds.
We then expand the dataset using large-scale synthetic scene generation. Our simulation pipeline produces millions of physics-accurate trajectories by varying environmental parameters such as lighting, textures, clutter, object attributes, sensor noise, and human motion patterns. This allows the VLA model to train on diverse, rare, or safety-critical situations that are impractical to capture in the real world.
Scaled in Synthetic Worlds.
We then expand the dataset using large-scale synthetic scene generation. Our simulation pipeline produces millions of physics-accurate trajectories by varying environmental parameters such as lighting, textures, clutter, object attributes, sensor noise, and human motion patterns. This allows the VLA model to train on diverse, rare, or safety-critical situations that are impractical to capture in the real world.
Tested Extensively.
Praxis incorporates Role Gym — an adversarial scenario generator that produces alignment-critical edge cases. Role Gym systematically creates ambiguous instructions, occluded views, hazardous configurations, unexpected human behavior, and environment shifts. These adversarial trajectories expose failure modes early and force the model to develop robust refusal behavior, uncertainty awareness, and safe action defaults, all before real-world deployment.
Tested Extensively.
Praxis incorporates Role Gym — an adversarial scenario generator that produces alignment-critical edge cases. Role Gym systematically creates ambiguous instructions, occluded views, hazardous configurations, unexpected human behavior, and environment shifts. These adversarial trajectories expose failure modes early and force the model to develop robust refusal behavior, uncertainty awareness, and safe action defaults, all before real-world deployment.
Tested Extensively.
Praxis incorporates Role Gym — an adversarial scenario generator that produces alignment-critical edge cases. Role Gym systematically creates ambiguous instructions, occluded views, hazardous configurations, unexpected human behavior, and environment shifts. These adversarial trajectories expose failure modes early and force the model to develop robust refusal behavior, uncertainty awareness, and safe action defaults, all before real-world deployment.
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Deploy your first VLA in 10 minutes.
Content Creation
Bring stories, posts, and ideas to life with words that flow naturally.
Coding Help
Solve bugs, generate snippets, and navigate code with unseen precision.
Research & Insights
Condense knowledge into clarity, summaries, analysis, and hidden connections revealed.
Focus & Productivity
Bring stories, posts, and ideas to life with words that flow naturally.
Content Creation
Bring stories, posts, and ideas to life with words that flow naturally.
Coding Help
Solve bugs, generate snippets, and navigate code with unseen precision.
Research & Insights
Condense knowledge into clarity, summaries, analysis, and hidden connections revealed.
Focus & Productivity
Bring stories, posts, and ideas to life with words that flow naturally.
Content Creation
Bring stories, posts, and ideas to life with words that flow naturally.
Coding Help
Solve bugs, generate snippets, and navigate code with unseen precision.
Research & Insights
Condense knowledge into clarity, summaries, analysis, and hidden connections revealed.
Focus & Productivity
Bring stories, posts, and ideas to life with words that flow naturally.
Content Creation
Bring stories, posts, and ideas to life with words that flow naturally.
Coding Help
Solve bugs, generate snippets, and navigate code with unseen precision.
Research & Insights
Condense knowledge into clarity, summaries, analysis, and hidden connections revealed.
Focus & Productivity
Bring stories, posts, and ideas to life with words that flow naturally.
Real-Time Performance
Deploy to Any Robot
Research & Insights
Multi-Robot Orchestration
Real-Time Performance
30Hz inference. <100ms latency. Smooth control on any robot without lag or stuttering.
Real-Time Performance
Deploy to Any Robot
Research & Insights
Multi-Robot Orchestration
Real-Time Performance
30Hz inference. <100ms latency. Smooth control on any robot without lag or stuttering.
One prompt to begin, three steps to clarity.
1 – Connect
Install the Praxis SDK (5 lines of code). Plug your robot in—Franka, UR5, Spot, or custom hardware. We handle the abstraction layer.
2 – Integrate
Choose any supported VLA model, configure your API keys, and instantly connect its input and action endpoints to your robot’s control stack—no matter the hardware—using just a few lines of code for seamless, real-time integration.
3 – Monitor
Our system continuously analyzes every input and output, enforcing safety and alignment in real time. Robust compliance checks and event telemetry keep your robot’s actions secure and reliable.
1 – Connect
Install the Praxis SDK (5 lines of code). Plug your robot in—Franka, UR5, Spot, or custom hardware. We handle the abstraction layer.
2 – Integrate
Choose any supported VLA model, configure your API keys, and instantly connect its input and action endpoints to your robot’s control stack—no matter the hardware—using just a few lines of code for seamless, real-time integration.
3 – Monitor
Our system continuously analyzes every input and output, enforcing safety and alignment in real time. Robust compliance checks and event telemetry keep your robot’s actions secure and reliable.
1 – Connect
Install the Praxis SDK (5 lines of code). Plug your robot in—Franka, UR5, Spot, or custom hardware. We handle the abstraction layer.
2 – Integrate
Choose any supported VLA model, configure your API keys, and instantly connect its input and action endpoints to your robot’s control stack—no matter the hardware—using just a few lines of code for seamless, real-time integration.
3 – Monitor
Our system continuously analyzes every input and output, enforcing safety and alignment in real time. Robust compliance checks and event telemetry keep your robot’s actions secure and reliable.
Pricing
Pricing
Pricing
Choose the plan that matches your ambition
Monthly
Yearly
20% OFF
Starter
$0
/month
10K free API calls/month
Features
100 API calls/month (demo)
1 VLA model access
1 Robot hosting
Pro
Popular
$29
/month
50K API calls/month included
Features
10K API calls/month
5 VLA models to choose from
Multiple Robot hosting
Lifetime
Custom
Full power with custom options, priority support, and team-ready collaboration.
Features
Dedicated workspace
Advanced model tuning
Scale without limits
Compliance
Popular
$0.002–$0.005 /per call (Depending on model)
The Compliance API intercepts every VLA inference before execution and enforces real-time policy constraints joint limits, workspace boundaries, force thresholds, safety rules. It logs every decision (approved/rejected with reason) in an audit trail, creating an immutable record of every robot action for regulatory compliance.
Features
Real-time policy enforcement
OSHA/FDA-ready audit trails
Compliance monitoring dashboard
Monthly
Yearly
20% OFF
Starter
$0
/month
10K free API calls/month
Features
100 API calls/month (demo)
1 VLA model access
1 Robot hosting
Pro
Popular
$29
/month
50K API calls/month included
Features
10K API calls/month
5 VLA models to choose from
Multiple Robot hosting
Lifetime
Custom
Full power with custom options, priority support, and team-ready collaboration.
Features
Dedicated workspace
Advanced model tuning
Scale without limits
Compliance
Popular
$0.002–$0.005 /per call (Depending on model)
The Compliance API intercepts every VLA inference before execution and enforces real-time policy constraints joint limits, workspace boundaries, force thresholds, safety rules. It logs every decision (approved/rejected with reason) in an audit trail, creating an immutable record of every robot action for regulatory compliance.
Features
Real-time policy enforcement
OSHA/FDA-ready audit trails
Compliance monitoring dashboard
Monthly
Yearly
20% OFF
Starter
$0
/month
10K free API calls/month
Features
100 API calls/month (demo)
1 VLA model access
1 Robot hosting
Pro
Popular
$29
/month
50K API calls/month included
Features
10K API calls/month
5 VLA models to choose from
Multiple Robot hosting
Lifetime
Custom
Full power with custom options, priority support, and team-ready collaboration.
Features
Dedicated workspace
Advanced model tuning
Scale without limits
Compliance
Popular
$0.002–$0.005 /per call (Depending on model)
The Compliance API intercepts every VLA inference before execution and enforces real-time policy constraints joint limits, workspace boundaries, force thresholds, safety rules. It logs every decision (approved/rejected with reason) in an audit trail, creating an immutable record of every robot action for regulatory compliance.
Features
Real-time policy enforcement
OSHA/FDA-ready audit trails
Compliance monitoring dashboard
Testimonials
Testimonials
Testimonials
We were amazed at how quickly we got our robotics lab running with the VLA API. The integration process was fast and painless—just a few lines of code, and suddenly our very different hardware platforms were speaking the same unified language. This not only freed our engineers from messy, device-specific code, but drastically sped up our time to deployment
Lisa Kuroda
Founder, Studio Analog
We were amazed at how quickly we got our robotics lab running with the VLA API. The integration process was fast and painless—just a few lines of code, and suddenly our very different hardware platforms were speaking the same unified language. This not only freed our engineers from messy, device-specific code, but drastically sped up our time to deployment
Lisa Kuroda
Founder, Studio Analog
We were amazed at how quickly we got our robotics lab running with the VLA API. The integration process was fast and painless—just a few lines of code, and suddenly our very different hardware platforms were speaking the same unified language. This not only freed our engineers from messy, device-specific code, but drastically sped up our time to deployment
Lisa Kuroda
Founder, Studio Analog
"The platform’s monitoring features have completely changed how we manage our robotics fleet. The compliance and event dashboards gave us peace of mind, catching missteps and odd behaviors proactively. Having all robot actions transparently logged let us spot subtle issues before they became bigger problems; for safety-critical jobs, this is absolutely essential"
Daniel Reyes
Director, Framehaus
"The platform’s monitoring features have completely changed how we manage our robotics fleet. The compliance and event dashboards gave us peace of mind, catching missteps and odd behaviors proactively. Having all robot actions transparently logged let us spot subtle issues before they became bigger problems; for safety-critical jobs, this is absolutely essential"
Daniel Reyes
Director, Framehaus
"The platform’s monitoring features have completely changed how we manage our robotics fleet. The compliance and event dashboards gave us peace of mind, catching missteps and odd behaviors proactively. Having all robot actions transparently logged let us spot subtle issues before they became bigger problems; for safety-critical jobs, this is absolutely essential"
Daniel Reyes
Director, Framehaus
"Operating in a factory with unpredictable layouts and constant change used to require constant supervising, but since switching to this API we’ve seen a huge reduction in manual interventions. The compliance layer tracks evolving conditions and the robot adjusts automatically. It’s reduced our downtime and made hands-off automation finally possible."
Mei Tanaka
UX Designer, Nuro
"Operating in a factory with unpredictable layouts and constant change used to require constant supervising, but since switching to this API we’ve seen a huge reduction in manual interventions. The compliance layer tracks evolving conditions and the robot adjusts automatically. It’s reduced our downtime and made hands-off automation finally possible."
Mei Tanaka
UX Designer, Nuro
"Operating in a factory with unpredictable layouts and constant change used to require constant supervising, but since switching to this API we’ve seen a huge reduction in manual interventions. The compliance layer tracks evolving conditions and the robot adjusts automatically. It’s reduced our downtime and made hands-off automation finally possible."
Mei Tanaka
UX Designer, Nuro
"We loved how the API let us experiment with different VLA models without the usual integration headaches. Swapping models was as simple as changing a setting—and everything just worked. It made testing new capabilities incredibly easy, and we avoided weeks of coding and validation normally required for model upgrades."
Julian Pierce
Director, Vektor Inc.
"We loved how the API let us experiment with different VLA models without the usual integration headaches. Swapping models was as simple as changing a setting—and everything just worked. It made testing new capabilities incredibly easy, and we avoided weeks of coding and validation normally required for model upgrades."
Julian Pierce
Director, Vektor Inc.
"We loved how the API let us experiment with different VLA models without the usual integration headaches. Swapping models was as simple as changing a setting—and everything just worked. It made testing new capabilities incredibly easy, and we avoided weeks of coding and validation normally required for model upgrades."
Julian Pierce
Director, Vektor Inc.
"After deploying, we noticed real improvements every week—no retraining or manual tuning needed. The platform’s learning loop quietly analyzed performance and made adjustments in the background. Our robots are noticeably safer and more efficient now than when we started, thanks to this hands-off, continuous improvement cycle."
Hana Samoto
CEO, Willow Studio
"After deploying, we noticed real improvements every week—no retraining or manual tuning needed. The platform’s learning loop quietly analyzed performance and made adjustments in the background. Our robots are noticeably safer and more efficient now than when we started, thanks to this hands-off, continuous improvement cycle."
Hana Samoto
CEO, Willow Studio
"After deploying, we noticed real improvements every week—no retraining or manual tuning needed. The platform’s learning loop quietly analyzed performance and made adjustments in the background. Our robots are noticeably safer and more efficient now than when we started, thanks to this hands-off, continuous improvement cycle."
Hana Samoto
CEO, Willow Studio
Your questions, answered with clarity
What types of robots do your APIs support?
How difficult is it to integrate a new robot or model?
How does the monitoring and compliance system work?
Can I switch between VLA models or update models easily?
hat happens if my environment changes or becomes unpredictable?
What security measures are in place for API access?
What types of robots do your APIs support?
How difficult is it to integrate a new robot or model?
How does the monitoring and compliance system work?
Can I switch between VLA models or update models easily?
hat happens if my environment changes or becomes unpredictable?
What security measures are in place for API access?
What types of robots do your APIs support?
How difficult is it to integrate a new robot or model?
How does the monitoring and compliance system work?
Can I switch between VLA models or update models easily?
hat happens if my environment changes or becomes unpredictable?
What security measures are in place for API access?
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