Robotics Teams, Makerspaces & Labs
Physical AI lab coordinator and private compute fabric
Digital Twin Pro is a private AI appliance for Robotics Teams, Makerspaces & Labs — fully assembled, with no display, keyboard, or mouse. Pair it with your phone, give your agent a name, and your private AI goes to work for you.
Private AI + frontier AI
Everyday work runs privately on hardware you own — no subscription, even offline. When you want the most capable models, your assistant can call Claude, GPT, or Gemini through your own account.
Kept at the cutting edge
AI moves fast. Covered fixes keep the supported software version stable, and a one-time Software Refresh is available whenever you want the latest image. You own it outright and stay in control — all hardware and software required to use it is included.
A supercomputer on call
For approved large jobs, Private Large-Job Processing is available as a one-time service — finished results return to your appliance.
NVIDIA hardware on your desk
Lab notebooks and datasheets that answer back
Test logs, datasheets, build notes, and project documentation — indexed on the same class of NVIDIA hardware you prototype on. Ask which runs failed the same way, where the datasheet contradicts observed behavior, and what the last team already tried. Institutional knowledge that survives graduation.
Getting it loaded is a one-time service: with Life Upload, your approved archive is prepared and imported privately — and from then on, asking is instant. For truly heavy jobs, approved one-time large-job processing is available, and Digital Twin Pro Spark brings 128GB of unified memory when the work outgrows the desk unit.
A day with your private AI
As you start your day in the lab, your assistant pulls real-time sensor data from your robotics workshop and drafts insightful summaries that guide your decisions. By midday, you review these reports while your assistant schedules maintenance checks for all machines, ensuring smooth operation. As evening approaches runs smoothly. As evening approaches and you conclude today’s work, your assistant is already preparing tomorrow's research notes based on the day’s experiments. This automation with Digital Twin Pro keeps your R&D data secure within your facility, adhering to a 'local by default' approach that minimizes exposure to public clouds. With strong privacy and control over critical innovations, you can focus entirely on advancing technology without concerns about external threats or unpredictable costs.
What your agent handles
Thirty ways to put your agent to work — each one private, local, and yours to approve.
Use case 01
Robotics project assistant
Your assistant is the lab's standing assistant — parts lookups, wiring questions, and build-log memory across projects.
Use case 02
Jetson node discovery
Instantly reveals every Jetson on the bench, showing IP, hostname, and JetPack version for quick lab inventory.
Use case 03
Sensor data workflow support
Helps robotics teams quickly review recent sensor streams for anomalies without leaving the lab bench.
Use case 04
Camera pipeline orchestration
Your assistant monitors and controls camera pipelines across Jetson nodes, letting lab teams start, stop, and verify streams instantly.
Use case 05
Robot status dashboard
A live dashboard for robotics teams showing each robot's battery, network health, last heartbeat, and active task at a glance.
Use case 06
Model endpoint registry
For robotics labs, instantly see every served model’s name, host, port, and last access time in a single view.
Use case 07
Codebase assistant
Your assistant answers questions about your own codebase — where things live, what changed, why that function exists.
Use case 08
Lab device inventory
Every board, sensor, and tool gets a searchable inventory entry with location and checkout status.
Use case 09
Hardware health monitoring
Continuously tracks temperature trends on lab Jetson nodes and warns before sustained overheating causes throttling.
Use case 10
Experiment log assistant
Automatically records experiment parameters, dataset version, and results in a uniform log for robotics teams.
Use case 11
Local documentation search
Datasheets, schematics, and past project reports answer questions without anyone digging through folders.
Use case 12
Dataset organization
For robotics teams, your assistant organizes, versions, and deduplicates captured data directly on your local storage.
Use case 13
Build/test automation
Automatically rebuild and test the navigation stack after each code merge, reporting only failures.
Use case 14
Safety checklist
Guides robotics teams through interactive pre‑operation safety checks before powering any robot near people.
Use case 15
Student/member onboarding
Helps robotics teams onboard new members by delivering lab safety rules and tool certifications directly from the device.
Use case 16
Equipment booking support
Helps robotics teams quickly reserve shared machines and avoid scheduling conflicts.
Use case 17
Vision workload offload
Vision inference shifts to the vision-optimized node so the Orin Nano stays free for real-time control.
Use case 18
Heavy reasoning offload
Your assistant hands intensive reasoning jobs to the larger model tier in your lab and returns the refined results.
Use case 19
Orin Nano as lab control plane
Your assistant reports every Jetson node's container runtime in one view, so version drift surfaces before it breaks builds.
Use case 20
Multi-robot coordination experiments
Enables simultaneous start of multiple robots and merges their sensor logs into a single synchronized file for analysis.
Use case 21
ROS documentation assistant
ROS questions answered against the docs version you actually run, not whatever the internet remembers.
Use case 22
Lab meeting summaries
Turns lab meeting audio into concise decisions and action items, posted instantly to the team channel.
Use case 23
Research paper summarization
New papers get summarized against your projects: what's relevant, what's reproducible on your hardware.
Use case 24
Prototype demo assistant
Helps robotics teams rehearse prototype demos by timing segments and prompting fallback explanations.
Use case 25
Local-only model testing
Enables robotics teams to instantly benchmark and rank candidate models on-device before deployment.
Use case 26
NIM/vLLM endpoint management
For robotics labs, your assistant manages NIM/vLLM endpoints, enabling versioned deployment, health checks, and rollback from a single interface.
Use case 27
Camera calibration workflow support
Guides robotics teams through stereo camera calibration, capturing images, verifying coverage, and storing parameters with the rig's inventory.
Use case 28
Maintenance reminders
Automated maintenance reminders for belts, filters, solder tips, and filament keep robotics labs running smoothly.
Use case 29
Weekly lab report
Generates a concise weekly lab report summarizing experiments, machine usage, incidents, and pending blockers for robotics teams.
Use case 30
Private physical-AI compute fabric
For robotics teams, your assistant instantly reveals which lab machines have spare GPU capacity and the OS they run.
Set up in an afternoon
- 1Place your Digital Twin Pro on the lab network.
- 2Pair lab manager and team roles.
- 3Give your agent a name — Atlas, Friday, anything you like. It answers to whatever you choose.
- 4Install node agents on Jetsons, a vision-capable tier, a larger Digital Twin Pro tier, and lab machines.
- 5Register cameras/sensors and approved robotics tools.
- 6Create experiment log and safety workflows.
- 7Enable compute routing across Orin, a vision-capable tier, and a larger Digital Twin Pro tier.
Works with
Where it lives
Lab bench, robotics area, makerspace network shelf, classroom lab, or dev desk.
The right hardware
Digital Twin Pro as lab control plane. A vision-capable tier strongly recommended. A larger Digital Twin Pro tier strongly recommended for advanced AI/robotics labs.
Three ways to say hello
Copy a prompt, send it to your agent, and watch it get to work.
I am setting up my agent for Robotics Teams, Makerspaces & Labs. My primary goal is: [your main goal]. My location/device placement is: [where the appliance will sit]. My approved integrations are: [your approved integrations]. My privacy requirements are: [local-only or cloud-allowed-with-approval]. Create a setup plan, recommended automations, and the first 10 prompts I should try.
Agent, scan only my approved local network for the Robotics Teams, Makerspaces & Labs setup. Do not control anything yet. Show me discovered devices grouped by type, risk, and recommended action. Ask for approval before enabling any integration or automation.
Agent, give me my daily Robotics Teams, Makerspaces & Labs briefing. Include: important changes, open tasks, devices or systems needing attention, recommended next actions, and anything requiring approval. Keep it practical and prioritize what matters today.
Begin with Digital Twin Pro
One appliance. One considered purchase. A private AI that works for you — with humans to help you get set up.
Shop Digital Twin Pro — from $1,699Common questions
Straight answers about privacy, cost, and what to expect. One-time support services are available whenever you need them — see services.
Can students use it without creating accounts or sending data off-network?
Processing is local by default; data leaves only through routes you explicitly enable, like an external provider or a care/backup mode. Your data stays on the appliance; you can copy backups to your own drive whenever you like, and a one-time service can set that up with you.
There are no required ongoing fees — optional one-time services (setup help, Software Refresh, Life Upload) are available whenever you want them.
The appliance costs $1,699 upfront. Covered fixes keep the supported software version stable, and a one-time Software Refresh brings you the latest image whenever you choose. This is a straightforward cost, unlike some cloud AI services that charge $20-$40 per month per user, often with hidden fees.
How long from unboxing to the first lab query — and who has to be involved?
Simply plug in the power and Ethernet cables, then pair the appliance with the companion app on your phone. The setup process takes about ten minutes and requires no assembly or technical configuration.
Can Digital Twin Pro perform real-time video processing or control physical robots directly?
Digital Twin Pro can't process videos in real-time or control robots on its own. It's designed for text-based tasks and runs your assistant language model locally. To work with videos or robots, you'll need to add external devices and write custom code to connect them.
How can I use Digital Twin Pro to help students prototype AI-driven robot behaviors in a makerspace?
Students can interact with your assistant to generate behavior scripts, test decision‑logic, and simulate sensor inputs via text prompts. The generated code can then be deployed on their robot hardware using standard APIs or libraries they already use.
What kind of support is available if the appliance encounters a software issue during a lab session?
Backups stay in your hands: export to a USB drive or NAS from the dashboard whenever you like. Without it, you can reboot and restore from a backup on your own, and email support is available to help troubleshoot.
One easy decision
$1,699 — once. About $1.55 a day over three years. 30-day home trial, 1-year warranty, real-person setup included.
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