Atlas White Label OEM Integration Pilot Program
This program is for robotics teams that have completed the Atlas Evaluation Kit phase and are ready to move into a White Label (OEM) Integration Pilot.
The Evaluation Kit proves Atlas value in a controlled setup.
The OEM Integration Pilot converts that result into a production-oriented system architecture inside your robot.
The goal is to:
• reduce integration risk
• accelerate deployment readiness
• define a clear path to production
Atlas is intended to become a reusable DSIL infrastructure layer across product lines, not a one-off integration.
Program Overview
The Atlas White Label (OEM) Integration Pilot is a structured engineering engagement that moves from evaluation to deployment readiness.
The pilot provides:
• application-specific hardware adaptation
• software integration guidance
• timing and synchronization validation
• mechanical and power system review
• production handoff planning
Reference Platform and Readiness
The Atlas OEM Integration Pilot is built on:
• DSIL SDK v1.0 (user-space + ROS2-ready integration)
• Fusion V2 reference hardware platform
These provide a validated baseline for timing, telemetry, and integration behavior.
The pilot accepts OEM-specific inputs, including:
• sensor stack
• compute platform
• mechanical and power constraints
• software architecture
Atlas is not delivered as a fixed product at this stage.
The Fusion V2 platform establishes the reference architecture, while the OEM pilot defines the production configuration.
Why Atlas (vs Internal Development)
Building a custom synchronization and integration layer typically results in:
• fragmented timing implementations
• inconsistent timestamp alignment
• limited observability
• repeated engineering effort
• long-term maintenance burden
Atlas provides a system-level infrastructure layer that standardizes these capabilities, allowing teams to focus on autonomy and product differentiation.
Atlas OEM Enablement Program (8 Weeks)
Atlas includes a structured enablement program to ensure OEM teams can independently operate and extend the system.
Phases
Phase 1 — System Understanding (Weeks 1–2)
• Atlas architecture and timing model
• DSIL SDK fundamentals
• integration standards
Phase 2 — Integration & Validation (Weeks 3–6)
• IMU / GNSS / UART integration
• PPS validation
• ROS2 / native integration
• debugging workflows
Phase 3 — Production Readiness (Weeks 7–8)
• system validation
• performance tuning
• failure analysis
Responsibility Boundary
Atlas does not own sensor drivers or firmware.
OEMs own device-level drivers.
Atlas provides synchronization, integration, and observability.
Pilot Program Roadmap
| Phase | Focus | Deliverables |
|---|---|---|
| Phase 1 | Design Audit | sensor mapping, I/O, power review |
| Phase 2 | Pilot Definition | hardware config, connector plan |
| Phase 3 | Validation | sync verification, performance report |
| Phase 4 | Production Planning | firmware packaging, supply planning |
What the Pilot Answers
• integration into mechanical and electrical architecture
• software stack alignment
• synchronization behavior in real conditions
• power and thermal performance
• production adaptation requirements
Mechanical and Environmental Integration
Atlas provides:
• STEP and 2D drawings
• connector references
• mounting and layout guidance
Thermal
• passive chassis mounting
• airflow review
• load validation
Environmental
Final robustness depends on:
• enclosure
• connectors
• harness design
Power System Integration
Focus
• input compatibility
• sensor power budgeting
• protection and brownout behavior
• startup sequencing
• telemetry visibility
Power Model
| Rail | Purpose | Focus |
|---|---|---|
| Input | robot supply | surge, polarity |
| 5V | sensor rail | current budget |
| 3.3V | aux rail | noise |
| PPS | timing | logic compatibility |
Brownout Strategy
Atlas can:
• preserve timing engine
• shed high-load sensors
• maintain telemetry
• recover safely
Software Integration Model
Atlas is a system layer, not a driver layer.
On-Device
• timing management
• telemetry routing
• system health
Host-Side
• telemetry access
• sync state
• ROS2 / native integration
Supported Environments
• Ubuntu / PREEMPT_RT
• ROS2
• non-ROS Linux
• optional Yocto / Buildroot
Software IP and Ownership Model
Atlas-Owned
• firmware (timing + telemetry engine)
• DSIL SDK core
Provided as binary (default) or source (optional).
OEM-Owned
• sensor drivers
• application logic
• perception stack
Modification Rights
• host-side → fully modifiable
• SDK APIs → stable interfaces
• firmware → configurable, not modified unless agreed
Atlas is observable and configurable, not an opaque black box.
Firmware Lifecycle, LTS, and Escrow
LTS
• bug fixes
• security updates
• compatibility updates
Typical support: 3–5 years (defined per agreement)
Escrow (Optional)
• source escrow
• release triggers
• lifecycle protection
EOL Planning
• last-time-buy
• firmware freeze
• migration planning
Firmware Update and OTA Safety Model
Update Methods
• host-assisted
• service-mode
• OEM OTA integration
Rollback and Recovery
• staged update
• rollback to last known-good
• integrity verification
• watchdog recovery
Guarantees
• no permanent bricking
• recovery without physical intervention (system dependent)
• update visibility via telemetry
Certification Roadmap
Target Certifications (Production)
• CE
• FCC
• RoHS / REACH
Process
• ISO9001-aligned manufacturing (partner dependent)
• traceability
• production testing
Pilot Scope
• define certification requirements
• identify design constraints
• plan certification path
Commercial and Engagement Transparency
During initial scoping:
• pilot cost estimate provided
• NRE scope defined
• production licensing model outlined
Possible models:
• per-unit royalty
• annual license (ARR)
• NRE + production pricing
This enables internal approval across engineering, finance, and procurement.
Sensor Integration Scope
Direct (via Atlas)
• USB cameras / USB LiDAR
• IMU / GNSS
• UART / I2C / SPI sensors
External (SBC-side)
• Ethernet LiDAR
• GMSL / FPD-Link
• high-bandwidth pipelines
Atlas does not sit in their data path.
System Role
• timing reference
• trigger coordination
• timestamp alignment
• observability
High-End Systems
Trigger-plane authority for:
• GMSL
• FPD-Link
Ethernet LiDAR → coordination only (no trigger control)
Known Boundaries and Limitations
• does not replace high-bandwidth pipelines
• does not control internal sensor clocks
• does not own drivers
• performance depends on system architecture
White Label Hardware Adaptation
| Level | Example | Impact |
|---|---|---|
| Minor | connector remap | low NRE |
| Moderate | I/O changes | scoped |
| Major | redesign | full NRE |
Reliability and Field Readiness
Validation
• uptime
• fault handling
• reconnection
• thermal stability
• power stress
Plan
• long-duration testing
• thermal validation
• fault injection
• recovery timing
Support Model
• engineering channel
• sync meetings
• integration support
• validation review
Goal: enable confident adoption decision.
Pilot Deliverables
• integration plan
• mechanical package
• hardware definition
• software guidance
• validation results
• production plan
Production Handoff
• firmware delivery
• software packaging
• supply planning
• lifecycle strategy
Optional:
• escrow
• LTS
Measuring Pilot Success
Integration
• sensors integrated
• system aligned
Synchronization
• stable timing
• acceptable jitter
Stability
• no critical failures
Power / Thermal
• stable operation
Software
• telemetry + integration verified
Readiness
• no blockers
• production path clear
Outcome:
• proceed to production
or
• define gaps
Pilot Commitment and Engineering Outcomes
The Atlas OEM Integration Pilot is structured to produce a clear, decision-grade engineering outcome, not an open-ended evaluation.
At the conclusion of the pilot, Atlas delivers a set of formal engineering artifacts that support internal production approval.
Delivered Artifacts
System Integration Report
• full sensor integration mapping
• interface and architecture validation
• mechanical and power integration summary
Synchronization Benchmark Report
• measured timestamp alignment across sensor set
• PPS / trigger performance characterization
• latency and jitter analysis under runtime conditions
Reliability and Stability Report
• uptime test results
• sensor disconnect / reconnect behavior
• fault handling and recovery validation
Brownout and Power Behavior Analysis
• power stress test results
• load-shed behavior validation
• recovery sequencing verification
Failure Analysis and Edge Case Review
• identified failure modes
• root cause analysis (if applicable)
• mitigation strategies and system-level recommendations
Production Readiness Summary
• confirmed system capabilities
• identified gaps (if any)
• recommended path to production configuration
Engineering Outcome
The pilot is designed to leave the OEM team with:
• validated system behavior under real operating conditions
• full visibility into synchronization and system health
• documented performance characteristics
• clear understanding of system limits and boundaries
Decision Framework
The pilot concludes with a structured engineering decision:
• proceed to production deployment
or
• address clearly defined gaps identified during validation
The goal is to eliminate ambiguity and ensure that the decision to deploy Atlas is based on measured system behavior, not assumptions.
Scoping Clarification Matrix
| Area | Why | Clarification |
|---|---|---|
| Hardware | cost | adaptation |
| Software IP | ownership | rights |
| Commercial | approval | pricing |
| Firmware | field ops | OTA |
| Reliability | deployment | targets |
Final Positioning
The Evaluation Kit proves the concept.
The OEM Integration Pilot converts that into a production-ready system architecture.
This is the decision point for adopting Atlas as a long-term infrastructure layer. It is the decision point for adopting Atlas as a long-term sensor and timing infrastructure layer.
Executive FAQ — OEM Pilot Decision
Key Questions from Engineering Leadership Before Committing to Atlas
This section addresses the critical questions typically raised by CTOs, VP Engineering, and cross-functional leadership when evaluating whether to proceed with the Atlas OEM Pilot Program.
The goal is to clarify risk, ROI, integration impact, and production readiness.
Strategic Fit
How does Atlas fit into our robotics architecture?
Atlas becomes the sensor infrastructure layer beneath your compute stack.
It standardizes:
- sensor connectivity
- power distribution
- timing synchronization
This allows your existing software stack (ROS2, perception, SLAM) to remain unchanged while improving system reliability and scalability.
Is this a short-term tool or a long-term platform decision?
Atlas is designed as a long-term infrastructure layer.
Adopting Atlas during the pilot phase enables:
- reuse across multiple robot SKUs
- consistent sensor integration architecture
- reduced future hardware redesign cycles
Risk Assessment
What is the integration risk?
Low.
Atlas is:
- non-intrusive to software
- compatible with existing sensors
- deployable alongside current architecture
The pilot program is specifically structured to de-risk integration before production commitment.
What happens if Atlas does not meet our expectations?
The OEM pilot is designed as a bounded evaluation phase.
Outcomes:
- validated integration → proceed to production
- identified gaps → addressed through customization
- misalignment → no production commitment required
This ensures no forced lock-in at pilot stage.
Are we dependent on Atlas long-term?
Atlas introduces a standardized hardware layer, but:
- it does not control your software stack
- it does not replace your compute platform
- it does not require proprietary sensor firmware
This reduces long-term dependency risk compared to vertically integrated solutions.
Engineering Impact
How much engineering effort is required from our team?
Minimal during pilot phase.
Typical involvement:
- hardware connection
- ROS2 validation
- system-level testing
Atlas team supports:
- integration guidance
- system tuning
- issue resolution
Will this disrupt our current development timeline?
No.
Atlas integrates in parallel with your existing system.
Your team can:
- validate Atlas without stopping current development
- compare results directly against existing architecture
Do we need to redesign our sensors or software?
No.
Atlas is compatible with:
- existing sensors
- existing ROS2 drivers
- existing perception pipelines
ROI and Business Value
What measurable benefits should we expect?
Atlas reduces:
- integration complexity
- wiring and harness cost
- engineering iteration cycles
Atlas improves:
- system reliability
- timing consistency
- scalability across product lines
How does Atlas reduce long-term cost?
Without Atlas:
- each robot SKU requires custom integration
- sensor wiring and power must be re-engineered
- synchronization must be solved repeatedly
With Atlas:
- one standardized integration model
- reusable architecture across products
- reduced engineering and maintenance overhead
Why not build this internally?
Building internally requires:
- multiple hardware revisions
- custom synchronization architecture
- firmware + software stack development
- long-term maintenance
Atlas provides a ready-to-deploy infrastructure layer, allowing your team to focus on:
- autonomy
- perception
- product differentiation
Production Readiness
What happens after a successful pilot?
Next steps:
- Hardware customization (if required)
- Mechanical and thermal validation
- Production design finalization
- Certification (CE/FCC/RoHS)
- Volume manufacturing
Can Atlas be adapted to our production requirements?
Yes.
Customization options include:
- connector types
- board form factor
- power configuration
- synchronization interface
Is Atlas ready for scaling to production volumes?
Yes.
Atlas is designed to transition from:
- evaluation → pilot → production
with a consistent architecture.
Manufacturing can be aligned with:
- your preferred vendors
- your certification requirements
- your supply chain strategy
Decision Framework
What decision should we make after the pilot?
At the end of the OEM pilot, teams typically evaluate:
- integration simplicity
- system stability
- performance improvement
- engineering effort reduction
If Atlas demonstrates clear value, the next step is production integration.
Final Executive Question
Why should we move forward now?
Because delaying adoption means:
- continued fragmented sensor integration
- repeated engineering effort
- increasing system complexity as sensors scale
Atlas provides a clear path to standardizing sensor infrastructure early, reducing long-term cost and risk.
Next Step
Ready to move forward?
- Engage in the OEM Pilot Program
- Validate Atlas in your system
- Define your production integration path
Atlas = Sensor Infrastructure Layer for Scalable Robotics Systems