The IntelligenceBehindPhysical AI.
We turn human demonstrations into machine intelligence. From embodied data and specialized models to cognitive systems and physical integration, we build the intelligence that helps machines understand, act and learn in the real world.
Supported By
From human experience to robotic intelligence.
We capture how humans perform physical tasks, translate those demonstrations into learnable skills, adapt specialized models and engineer the intelligence that brings machines to life. Each layer contributes to building, operating and improving your physical AI system.
Use the complete intelligence stack or engage us for the capabilities your product requires.
01 · Capture
Embodied Data
Real people performing the real task, recorded with wearable cameras and sensors and structured into training data.
Contributes:Task datasets
02 · Learn
Skill Acquisition
Demonstrations broken down into what a machine can learn: the steps, actions, objects and outcomes of the task.
Contributes:Learnable skills
03 · Adapt
Model Adaptation
Pre-trained robotics, language and multimodal models adapted to your domain, tested and optimized for your hardware.
Contributes:Adapted models
04 · Think
Cognitive Orchestration
Memory, context, reasoning and goals that decide what the machine does next and coordinate its capabilities.
Contributes:Decisions
05 · Act
Physical Integration
Cognitive decisions connected to physical hardware through sensors, actuators and validated control systems, enabling movement, speech and manipulation within defined safety constraints.
Contributes:Physical actions
06 · Improve
Closed-Loop Learning
Behaviour monitored, outcomes evaluated and feedback turned into controlled model updates.
Contributes:Better models
On-device and on-premise by design
All six layers run where your product runs: on the device, at the edge or on your own servers. Your data and models never leave your control, and every update is monitored and approved.
The Next Generation of Machines Starts Here.
From products that interact with people to machines that operate autonomously, we engineer the intelligence that brings physical systems to life.
- 01
Companion robotics
Example: A cognitive companion that recognizes its user, remembers relevant interactions, understands conversational context and develops continuity across everyday experiences.
- 02
Humanoid & service robots
Example: A service robot that identifies a returning visitor with appropriate authorization, retrieves relevant visit context and navigates them to their destination.
- 03
Industrial systems
Example: A robotic arm trained around operator demonstrations to perform packing operations, recognize placement errors and respond to unexpected variations within defined safety constraints.
- 04
Smart devices
Example: An intelligent kitchen appliance that understands natural-language preferences, remembers household settings and adapts its operation to individual needs.
- 05
Autonomous machines
Example: An autonomous warehouse vehicle that detects obstacles, plans alternative routes within operational constraints and uses accumulated operational data to improve navigation decisions.
Examples are illustrative. Shipped products are under Our work.
Most teams connect AI to hardware. We build the system around it.
One team, sensor to action
From data collection and model training to cognition, hardware integration and deployment. One engineering team across the entire system.
Built for your hardware
Models and intelligence systems configured for your device, compute capacity and operating environment.
Built on reusable intelligence
Our AI brain provides the foundation for domain understanding, memory, context, reasoning and goal-oriented execution. Your project starts from reusable infrastructure.
Forward-deployed engineering
Our engineers work alongside your team, from understanding the product and building its intelligence to deployment and ongoing improvement.
Meet Recapi. The Cognitive Foundation for Physical AI.
Recapi learns your product's domain, goals, workflows and operating rules. It configures the right models, memory, context and reasoning around them, giving every product a cognitive foundation without starting from zero.
Recapi · Cognitive infrastructure
Memory
Retains relevant information and experience.
Context
Understands the current situation and history.
Reasoning
Interprets information and evaluates options.
Goal planning
Plans actions around desired outcomes.
Guardrails
Enforces rules, permissions and constraints.
Learning
Improves through feedback and evaluation.
The First Working Version of Your Physical AI Starts Here.
Bring us the product vision. We bring the intelligence, engineering and multidisciplinary expertise to turn it into a working Physical AI prototype.
- 3 Technical Specialists
- 1 Dedicated Project Lead
- Clearly Defined MVP Scope
- Working Prototype Delivery
The 30-day engagement is designed around a defined MVP scope. Hardware availability, data access, integration dependencies and acceptance criteria are agreed before work begins. Production readiness may require further engineering.
From first prototype to production-scale intelligence. We can build the journey together.
Week 01
Understand the Machine
We get inside your product idea: its purpose, hardware, environment, tasks and available data. We define what the machine needs to perceive, understand and accomplish.
Week 02
Build Its Intelligence
We bring together the right models, Recapi's cognitive capabilities, domain knowledge and hardware interfaces to establish how your product will interpret and respond to the world.
Week 03
Bring It to Life
We connect intelligence with the physical system, build its core capabilities and put it through real-world scenarios to evaluate how it performs.
Week 04
From Prototype to Proven Performance
We refine the prototype against agreed requirements, evaluate its behaviour, document the system and hand over the working implementation with clear next steps for further engineering.
What you walk away with
Depth varies by project. Deliverables are agreed before we start.
- A working prototype against agreed requirements
- Configured AI models and cognitive infrastructure
- Hardware and software integration within the agreed scope
- Initial performance and evaluation results
- Technical architecture and documentation
- A roadmap for production development
Intelligence built for real-world applications.
Companion robots that listen, talk and remember
We bring cognitive intelligence into physical companion devices through conversational AI, memory, contextual interactions and secure, age-appropriate behaviour.
- Physical product integration
- Conversational intelligence
- Domain-specific model configuration
- Memory and contextual interactions
- Gamified, interactive experiences
- Secure, age-appropriate AI behaviour
- Model Adaptation
- Cognitive Orchestration
- Physical Integration
Manufacturing
Manufacturing intelligence for sales teams
We build domain-specific language models that evaluate sales interactions, score performance and support personalised follow-ups.
Logistics & warehousing
Intelligence for Autonomous Warehouse Operations
We engineer AI systems that help warehouse robots perceive their surroundings, identify obstacles, coordinate movement and adapt to changing operational conditions.
Quick commerce & dark stores
Intelligence Behind Every Pick, Pack and Dispatch
We build intelligent systems for dark store operations that support inventory recognition, shelf monitoring, product identification and faster order fulfilment workflows.
Healthcare & assistive technology
Intelligent Assistance for Everyday Care
We develop cognitive intelligence for assistive devices and service robots that interpret user interactions, understand contextual needs and support routine assistance within defined safety boundaries.
The real world is where intelligence is truly tested.
A machine's intelligence is revealed not by what it knows, but by how it responds to what it encounters. It must make sense of the unfamiliar, understand the consequences of its decisions, act within the physical world and turn every outcome into experience. This is the intelligence we engineer at XOIDLABS.
Interactive illustration.
One loop: perceive, decide, act, learn. We build the intelligence across all of it.
Try it: give the robot a task
›Hardware only. Not trained yet.
Your Next Machine Shouldn't Just Operate. It Should Understand.
Let's Engineer What Comes Next.
You bring the product idea. We bring the intelligence, data and engineering to make it work.