Who Is CTai LABS?
CTai LABS Simplifies Physical ai Deployment
CTai LABS is the AI engineering department of Connect Tech, combining industry-leading AI integration, sensor integration, and Edge AI optimization with CTI’s EdgeAI Stack. The stack brings together Edge AI compute platforms, vision and sensor interfaces, software, firmware, BSP integration, accelerated networking, security, I/O, and a robust partner ecosystem. One team connects the complete technology stack for rugged, deployable applications. Design, build, and deploy with one partner.
Why CTai LABS
Physical ai is more than a single product. It requires the right mix of compute, cameras, sensors, software, and real-world deployment planning.Â
What We Do
From sensor bring-up and BSP development through model optimization with NVIDIA TensorRT and Isaac ROS to a validated deployment-ready solution, CTai LABS covers the full stack.Â
How It Comes Together
 Our solution enables Connect Tech’s EdgeAI Stack to delopy autonomous edge applications, faster.
Understanding the Deployment Path
Connect Tech provides the proven hardware foundation: NVIDIA Jetson hardware, CTI carrier boards, cooling, systems, Linux, and BSP support.
But building a complete Physical ai product requires more than hardware. Customers still need to connect the NVIDIA AI compute stack, vision and sensor interfaces, software layers, orchestration, system integration, and deployment workflows before their final product is ready.
When those layers are managed separately, the path can become complex, time-consuming, and risky. Integration gaps can slow down development, create uncertainty between teams, and make it harder to move from prototype to production.
CTai LABS helps turn a fragmented deployment path
into a more connected, supported workflow.
LABS bridges the complex integration gap above the CTI foundation.
How CTai LABS Makes it Easy
CTai LABS takes on the hard integration work through CTI’s EdgeAI Stack, connecting NVIDIA platforms, Connect Tech hardware, vision and sensor interfaces, software frameworks, and deployment requirements into a complete, buildable path.
This allows customers to stay focused on their application, product vision, and market differentiator while CTai LABS reduces the complexity of getting the system working in the real world.
CTI’s EdgeAI Stack provides the platform. CTai LABS manages the integration. Customers focus on building their technology.
Why CTai LABS Exists
Built to Bridge the Gap Between
Hardware and Deployment
Physical ai systems are becoming more capable, but also more complex to build. Teams are no longer just choosing a board or module. They are connecting compute, cameras, sensors, software, AI frameworks, operating systems, rugged hardware, and deployment requirements into one working system.
CTai LABS was created to help customers move through that complexity with a more connected path. Backed by Connect Tech’s embedded systems expertise, CTai LABS bridges the gap between the hardware foundation and the customer’s final product, helping teams stay focused on building the technology that makes their solution different.
LABS bridges the complex integration gap above the CTI foundation.Connect Tech and CTai LABS work together: Connect Tech provides the proven Edge AI foundation, while CTai LABS helps customers turn that foundation into deployable Physical ai systems.
How CTai LABS Helps You Build
From a Platform Question to a Deployed
Physical ai System.
CTai LABS supports three points of engagement: a pre-validated evaluation kit for teams proving a concept, integration consulting for platform and architecture decisions, and custom application development for production deployments. All three can run on the Connect Tech hardware and NVIDIA software stack, so a decision made at the kit stage still holds at production. Each path is scoped around what the deployment requires.
Kits
Start faster with validated hardware and software.
CTai LABS kits help teams evaluate Physical ai concepts without starting from scratch. Each kit brings together compute, sensors, software, and sample workflows so you can prototype, test, and prove ideas faster.Â
Consulting
Get expert guidance before you build.
Our team helps define the right architecture, hardware platform, sensor strategy, software approach, and deployment path for your project. We help reduce guesswork early so your team can move with more confidence.
Applications
Build custom ai solutions for real-world use cases.
CTai LABS develops Edge AI applications for robotics, vision, inspection, autonomy, analytics, and automation. We help connect the hardware, software, and intelligence needed to make Physical ai work in the field
Memory Optimization
Replace memory guesswork with the actual requirement.
CTai LABS analyzes memory usage across compute, bandwidth, and pipeline architecture to identify exactly how much memory a deployment actually needs, and where it’s being over- or under-provisioned. This is engineering work done for your actual model and sensor pipeline, not a standard spec.Â
Have a workload you want to prove on real hardware?
CTai LABS scopes every engagement against your actual deployment constraints.
The conversation starts with engineering expertise.
CTai LABS Insights
We Budgeted 64GB. Super Mode Said Otherwise.
Two generative models on one Jetson 32GB module: How Super Mode and Agentic AI changed the sizing equation
JetPack 7.2 MAXN_SUPER brings Jetson AGX Orin 32GB close to the compute class of the 64GB module for workloads that fit in memory. One engineer supervising an AI agent migrated a complete dual-model video AI stack in days, then benchmarked every step. Here is the full engineering story.
By Doruk Sönmez, M.Sc.
AI Solutions Architect, CTai LABS, a department of Connect Tech Inc.
NVIDIA DLI Certified Instructor
Published July 2026 | Benchmark data measured on device by CTai LABS | Technical review: Rob Callaghan, P.Eng., Chief Product Officer, CTai LABS/Connect Tech Inc.
Featured Case Study
Recycling Explosion Detection: ScrapGuardâ„¢
AI Solutions Architect, CTai LABS, a department of Connect Tech Inc.
NVIDIA DLI Certified Instructor
Published July 2026Â |Â Benchmark data measured on device by CTai LABSÂ |Â Technical review: Rob Callaghan, P.Eng., Chief Product Officer, ConnectTech.com
Scrap metal recycling facilities face a dangerous problem: lithium-ion batteries and pressurised canisters hidden in incoming material cause fires and explosions on the shredder line. CTai LABS worked with a recycling facility to build ScrapGuard, a real-time Edge ai vision system identifying high-risk materials on a fast-moving conveyor belt and triggers an automated response before the material reaches the shredder. That engagement is now cleared as an open framework: the detection pipeline, the hardware selected for the facility’s thermal and ingress requirements, the NVIDIA® Jetsonâ„¢ platform configuration, and the latency and accuracy targets the system was built to meet, available as a reference for other facilities to implement.
Earlier Hazard Detection
Identify high-risk batteries and pressurized canisters before they reach the shredder, giving the system time to trigger a response.
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Real-Time Edge Processing
Analyze the moving material stream locally at the Edge for low-latency detection without relying on a cloud connection.
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Production-Ready Integration
Combine vision, NVIDIA Jetson compute, rugged hardware, and automated response logic in a system designed for the recycling environment.
Ready to Build Smarter?
CTai LABS, a department of Connect Tech, delivers full-stack Edge ai integration from architecture to a production-supported deployment. Talk to the team.Â
Our Focus Industries and Applications
Built for Real-World Physical ai Applications
CTai LABS, a department of Connect Tech, deploys ai integration across industries where real-world operating conditions define what deployment-ready means. These are the team’s core focus areas, though the approach applies across any environment.Â
Don’t see your industry? CTai LABS can support custom Physical ai applications across a wide range of environments.Â
Featured Videos
See CTai LABS in Action.
Meet CTai Labs
Discover how CTai LABS brings Edge ai, vision, and sensor integration into real-world Physical ai systems.
3D Spatial Intelligence
Turn camera data into real-time depth, geometry, and spatial understanding at the edge.
