Start with a workflow worth automating.
Workflow analysis, technical feasibility, hardware requirements, baseline measurements, and an estimate of operational value.
What you receive
A scoped opportunity and a decision on whether to pilot.
Physical AI & Robotics EngineeringFrom robot hardware
From robot hardware
to intelligent automation.
We help robotics companies, integration partners, and industrial operators develop AI-enabled applications using existing robotic platforms, foundation models, simulation, and production software.
ROBOTICS ENGINEERING / THE PHYSICAL WORKCELL
Connect the robot. Engineer the application.
Usman AbdulrasheedGambo / Industrial footage
A real robotic handling task shows the hardware, tooling, and operating environment that application engineering must bring together. Illustrative footage, not a DehazeLabs deployment.
The application architectureHardware moves.
Hardware moves.
Intelligence adapts.
Operations improve.
Each layer has a job. Our engineering connects them around a clearly defined physical task.
An application, engineered together
01 / Physical systemRobots · Sensors · ToolingCommercial platforms and supported interfaces
02 / IntelligencePerception · Models · PoliciesTask adaptation, demonstrations, and evaluation
03 / OperationsIntegration · Verification · LearningAcceptance criteria and human intervention paths
Simulation and evidence guide each step.
What you can hire us to doThe engineering between
The engineering between
capability and application.
Use commercially available robots and established AI technologies. Invest in the integration, adaptation, and validation your workflow needs.
Bring the physical system together.
Connect arms, grippers, cameras, sensors, controllers, and edge compute through supported interfaces, with qualified hardware and integration partners.
What you receive
An integration design with clear interfaces and responsibilities.
Adapt intelligence to the task.
Select suitable vision-language-action models, plan demonstrations, adapt policies where appropriate, and evaluate behavior against task-specific criteria.
What you receive
A task adaptation and evaluation workflow.
Test before moving into operations.
Develop simulation environments and test workflows using tools such as NVIDIA Isaac Sim and Isaac Lab where appropriate. Check assumptions against the physical application.
What you receive
Repeatable scenarios for development and validation.
Make the handoff deliberate.
Connect application software, define commissioning and acceptance tests, and support deployment with qualified partners responsible for physical installation and site requirements.
What you receive
A bounded pilot and an agreed commissioning plan.
Learn from each attempt.
Build success detection, failure analysis, exception handling, telemetry, and review workflows to understand what worked and what needs to change.
What you receive
Operational evidence and a prioritized improvement loop.
From workflow to working automationA deliberate path
A deliberate path
from idea to operation.
01
Assess
Define the task, baseline, constraints, and business case.
02
Integrate
Select existing hardware, tooling, interfaces, and engineering partners.
03
Adapt
Connect perception, models, planning, and task software.
04
Validate
Evaluate task performance, failure modes, safety constraints, and economics.
05
Deploy
Support a bounded commissioning process with qualified partners.
06
Improve
Review outcomes, curate failures, and refine the application.
A pilot starts with agreed acceptance criteria and a go/no-go decision. Hardware selection, site risk assessment, installation, and commissioning responsibilities are defined with the customer and qualified partners.
Responsibilities, agreed before the pilotThree teams.
Three teams.
One clear handoff.
The application plan makes ownership explicit. The exact division depends on the hardware, site, and scope of the engagement.
Intelligence & application engineering
- Perception, model adaptation, and task software
- Simulation and evaluation workflows
- Application interfaces, telemetry, and failure review
Handoff Software, integration evidence, and agreed acceptance tests
Hardware & site integration
- Hardware suitability, tooling, and controls integration
- Physical installation and site-specific engineering
- Commissioning and agreed safety-related activities
Handoff An integrated workcell and commissioning evidence
Workflow & acceptance
- Process knowledge, access, representative parts, and data
- Site requirements, review owners, and operator involvement
- Acceptance criteria and the decision to proceed
Handoff A reviewed operating process and pilot decision
Who we work withBuilt around your
Built around your
role in the ecosystem.
Robot OEMs & startups
Develop application software, model adaptation, evaluation, and operational intelligence around your hardware.
Systems integrators
Add perception, learning-based policies, and AI software to an integration-led automation application.
Factories & warehouses
Assess a repetitive or difficult-to-staff task, then define a bounded pilot with measurable performance.
Infrastructure operators
Explore physical inspection and operational workflows while retaining established telemetry and data engineering capabilities.
Service and products, clearly definedThe right starting point
The right starting point
for a different job.
Physical AI & Robotics
Assess, integrate, adapt, and evaluate robotics applications. Commissioning support is scoped with qualified partners.
Discuss a pilot ↗Robot Ops
Replay incidents, review triage hypotheses, and curate learning data from robot operations.
↗Infrastructure softwareEdgeTelemetry
Normalize GPU and data-center telemetry, validate readiness, and retain evidence for operators.
↗Evidence before expansionDefine what success
Define what success
will look like.
Agree on the task, test conditions, and acceptance criteria before implementation. Evaluate successful completions, cycle time, interventions, failure modes, and operating cost across representative trials. Share measured results with their conditions and limits.
The pilot evidence recordSee the assessment deliverables ↗
Task performance
Record successful completions, cycle time, and quality against the agreed baseline and test conditions.
Exceptions & interventions
Log failure modes, uncertain cases, and human assistance. Review what the system should detect, retry, or escalate.
Operational value
Review operating cost and workflow impact with the customer. Document assumptions and the evidence needed before expanding scope.
Engineering depth that carries forward.
Our work in perception, data pipelines, infrastructure, and robot incident analysis gives each robotics engagement a practical engineering foundation. Explore the customer work behind those capabilities.
Explore factory planning and model adaptation
Explore the wider robotics ecosystem through these publisher films. These are industry references, separate from DehazeLabs work.
Have an application in mind?Start with a workflow.
Start with a workflow.
Build the case for a pilot.
Tell us about the task, operating environment, existing hardware, and the outcome you want to improve.
Talk to our engineers ↗