Represent
the real task.
Bring site context, 3D assets, and world-model outputs together with robot geometry, sensing, and physics. Define the conditions the application must handle.
Simulation environment + task specificationDEHAZE LABS / PHYSICAL AI INTEGRATIONSIMULATE · ADAPT · DEPLOY
Engineering intelligence into the physical world.
From foundation models and simulated worlds to working robots.
We bring together world models, foundation models, simulation, and robot software. Model the task, train or adapt the policy, test it in simulation, then integrate it with OEM-supplied robots at your site alongside qualified partners.
PHYSICAL AI / FROM ENVIRONMENT TO OPERATION
A world to test in. A robot to put it to work.
Simulation → workcell → production
Independent simulation and industrial footage. Illustrative scenes, not Dehaze deployments or one sim-to-real experiment.
01 / FROM SIMULATION TO SITEThe world. The policy.
The world. The policy.
The working application.
Existing models and robots are the starting point. We connect them around the task, build the environment to develop in, and carry the application through evaluation and physical deployment.
Represent
Develop
the behavior.
Adapt foundation models with demonstrations, or train a task policy in simulation where appropriate. Vary the conditions that matter to the operation.
Versioned policy + learning configurationTest a fixed
policy version.
Run repeatable scenarios without updating the policy weights. Measure task outcomes, examine failures, and define the checks needed on real hardware.
Evaluation record + transfer criteriaConnect it
to the robot.
Map sensor inputs and policy outputs to the OEM robot’s supported interfaces. Validate on hardware and support site acceptance with qualified partners.
Runtime integration + operating feedbackFROM LEARNED BEHAVIOR TO PHYSICAL ACTIONLearn the behavior.
Learn the behavior.
Engineer the transfer.
A robot policy turns observations into actions. We develop the policy and the software that connects it to real sensors, controllers, and operating conditions.
The task profile accompanies that work: one specification linking the robot, environment, model configuration, test evidence, and deployment limits.
See how a policy reaches the robot ↗SUPPORTING TASK PROFILEILLUSTRATIVE
Inspection & part routing
- Task
- Inspect a part and route uncertain cases for review.
- Robot & world
- OEM arm, camera, and tooling in a modeled workcell.
- Intelligence
- Perception, a versioned task policy, and application logic selected together.
- Runtime
- Sensor formatting, action mapping, and the OEM controller interface.
- Evidence
- Scenario evaluation, physical trials, and site acceptance criteria.
Example project specification. No training result or customer deployment is implied.
Explore the simulation and production context
01 / MODEL THE ENVIRONMENT
Understand the operating context.
IndustryEQA / Research simulation
An existing simulated warehouse illustrates how layout and spatial context can be represented before physical testing.
02 / REAL PRODUCTION
Build for the whole operation.
Engin Altundağ / Industrial footage
A real automotive production cell brings robots, tooling, and material handling into view. Illustrative footage, separate from the simulation.
Two independent industry examples: a warehouse simulation and a real factory demonstration. Neither is a DehazeLabs deployment.
Follow an inspection-and-handling pilot, step by step
WHERE DEHAZE FITS
Your floor. Your task. A practical path to automation.
We help you select a useful starting point, connect existing hardware and AI, evaluate the application, and support deployment with qualified partners.
Explore our robotics engineering ↗See the operation.
Engineer the right intervention.
THE FLOOR
Layout, movement, and the people around the task.
THE WORKCELL
Robots, perception, tooling, and adapted intelligence.
THE OPERATION
Systems integration, acceptance, and continuous improvement.
ILLUSTRATIVE WORKCELL / INSPECTION & HANDLINGHardware, intelligence, and exception handling
Present partInspect with visionRoute with robotReview exceptions
Define the task
Agree on the part, defect, throughput target, and intervention rules.
A task specification and baseline.Model the workcell
Represent the robot, camera, tooling, and working envelope. Check the assumptions that need physical testing.
A workcell model and interface plan.Adapt the intelligence
Connect perception and task software. Evaluate established models and demonstration data where they fit the workflow.
A task adaptation and evaluation plan.Validate the application
Test defect detection, handling, exceptions, and the limits of the simulated environment.
Results against agreed acceptance criteria.Commission with partners
Integrate site systems and support a bounded pilot with qualified hardware and deployment partners.
An agreed commissioning and handoff plan.Review and improve
Record outcomes and interventions. Investigate failures and prioritize the next engineering change.
An evidence record and improvement backlog.Illustrative application path. Hardware suitability, performance, site requirements, and partner responsibilities are evaluated for each engagement.
Explore the industries and applications we work in
Deep in the industries
that keep the world running.
Data centers ↗Telecommunications ↗Smart cities ↗Logistics ↗Manufacturing ↗Retail & consumer brands ↗Healthcare & life sciences ↗Financial services ↗
One connected approach
01
Sense.
Connect signals from the physical world.
02
Understand.
Turn operational data into context.
03
Act.
Build reliable decisions into everyday operations.
Explore robotics industry references
Explore the wider robotics ecosystem through these publisher films. These are industry references, separate from DehazeLabs work.
One application.
A connected engineering stack.
Simulation, model adaptation, and robotics integration lead the work. Infrastructure and applied AI connect the application to your wider operation.
↗From robot hardware
to intelligent automation.
Task profiles, simulated environments, policy adaptation, and evaluation—followed by deployment on OEM hardware with qualified partners.
↗The foundation for
production intelligence.
GPU infrastructure, data platforms, distributed systems, telemetry, observability, and production MLOps.
VisionLanguageSignals
Models & tools
Operational applications ↗
Intelligence built
around the work.
Computer vision, multimodal applications, agents, edge inference, model adaptation, and custom enterprise software.
03 / EVIDENCEEngineering depth,
Engineering depth,
already at work.
Customer work across perception, data, infrastructure, and applied AI supports our robotics practice. Each case retains its own scope and delivery stage.
Selected customer work
Inside Robot Ops: inspect a saved simulation incident
BUILT BY DEHAZE / ROBOT OPSA robot incident.
Reference run · simulated robotA robot incident.
Evidence an engineer can inspect.
Exported scan comparisons · approximately 10× playback
Simulation telemetry, not camera footage or a product UI recording.
SAVED INCIDENT / INC-1778618747
- Saved incident window
- 88.99–191.69 seconds
- Peak pose uncertainty
- 7.76× baseline
What the output tells us
Localization needs investigation.
The cached triage report flags a localization-degradation hypothesis. An engineer still needs to compare the signals, fill the evidence gaps, and validate the cause.
See the review boundary
The model reported medium confidence. That is not a performance score. The saved artifacts do not establish a confirmed cause, human approval, or an improvement in robot performance.
The source report asks for additional scan/map, odometry, and costmap context. The plots shown here are separate exported reference artifacts.
Explore our products and their distinct operational roles
DehazeLabs productsFocused products.
Focused products.
Distinct operational needs.
Explore the tools we build for infrastructure, business knowledge, and robot operations.
See the work take shapeWhat does AI look like
What does AI look like
inside your operation?
01 / Business intelligenceA question becomes
A rack becomes
An incident becomes
A question becomes
a sourced answer.
Explore how Company Brain connects a business question to the records behind it.
02 / InfrastructureA rack becomes
ready to operate.
Follow a readiness review across compute, network, power, and cooling.
03 / Physical AIAn incident becomes
a learning signal.
See how raw robot logs become evidence a reviewer can turn into a curated dataset.
04 / DELIVERYA defined task.
A defined task.
A deliberate path to operation.
Define the task and model the environment. Train or adapt a policy, evaluate a fixed version, and integrate its inputs and outputs with the selected OEM robot. Hardware trials and site acceptance connect simulation results to real operations.
DefineSimulateAdaptEvaluateTransferImprove
DEHAZE LABS
Models, simulation, policy adaptation, application software, and evaluation.
OEMS & INTEGRATION PARTNERS
Robot hardware, tooling, site integration, and commissioning within the agreed scope.
YOUR TEAM
Workflow knowledge, site access, operational ownership, and acceptance decisions.
A team. Not a handoff.We build it
We build it
with you.
Then make it yours.
Our engineers embed directly into your team. From architecture and data infrastructure to deployment and ongoing operation, we own the work with you.
US-based partnership leadership. Engineering depth across Hyderabad and Bengaluru.
How we work ↗Explore the architecture and engineering behind the application
The DehazeLabs AI operating layerConnect the intelligence.
Connect the intelligence.
Transform the operation.
Connect knowledge, infrastructure, and workflows around a defined application. Our engineering teams connect the application. Robot Ops, EdgeTelemetry, and Company Brain provide purpose-built tools for robot operations, infrastructure, and business knowledge.
Complementary products and engineering capabilities
Explore the AI operating layer ↗01KnowCompany Brain
02ObserveEdgeTelemetry
03LearnRobot Ops
04ActAgents & workflows
Source context · Human oversight · Measurable outcomes
A complete path to productionThe architecture.
The architecture.
The team. The next move.
Engineering with the leading AI and cloud platforms.
Anthropic Claude Partner Network ↗AWS Partner Network
05 / THE FIRST ENGAGEMENTMake the first decision
Make the first decision
a useful one.
An assessment turns an operational idea into a task profile, a model and simulation plan, and the evidence needed for a pilot decision.
- 01
A task profile
The workflow, robot context, operating constraints, and baseline.
- 02
A model & system shortlist
Foundation models, OEM hardware, sensors, and integration needs.
- 03
A simulation & data plan
Environment assets, demonstrations, scenario coverage, and technical unknowns.
- 04
Pilot acceptance criteria
What to measure and how to make the go/no-go decision.
Scope is agreed before work begins. An assessment can recommend a pilot, further investigation, or a decision not to automate.