Deploying uncertified AI in physical environments exposes your company to significant liability. Without adherence to ISO 10218 and ISO/TS 15066 for human-robot collaboration, your systems lack the legally defensible safety frameworks required for industrial insurance and operational permits.
Service
Industrial AI Safety and Compliance Engineering
Deploy certified AI-driven safety systems with real-time human presence detection and predictive collision avoidance. Achieve ISO 10218 and ISO/TS 15066 compliance for human-robot collaboration.
SERVICE OVERVIEW
The Compliance and Liability Risk of Uncertified Industrial AI
Mitigate legal exposure and ensure operational safety with certified AI systems engineered for industrial compliance.
Our engineering delivers certified safety architectures that transform AI from a liability into a documented, compliant asset.
- Real-time Risk Mitigation: Implement AI-driven systems for predictive collision avoidance and human presence detection, creating an auditable safety record.
- Compliance-as-Code: Embed standards like ISO/IEC 42001 directly into your AI's operational logic, ensuring continuous adherence.
- Liability Reduction: Documented safety validation and algorithmic fairness audits protect against disparate impact claims and regulatory penalties.
Partner with us to build AI that meets the stringent requirements of Industrial AI Safety and Compliance Engineering, ensuring your robotics and autonomous systems are both powerful and legally sound. Explore our broader capabilities in Physical AI and Industrial Robotics Integration or learn about securing AI with Confidential Computing for AI Workloads.
GUARANTEED RESULTS
Business Outcomes of AI Safety and Compliance Engineering
Our engineering approach translates technical safety measures into measurable business value, ensuring your AI-powered industrial systems are not only compliant but also a source of operational efficiency and competitive advantage.
01
Accelerated Market Entry
Achieve ISO 10218 and ISO/TS 15066 compliance for human-robot collaboration in 4-6 weeks with our pre-validated safety frameworks, reducing your time-to-market for new robotic deployments by over 60%.
4-6 weeks
to compliance
> 60%
faster deployment
02
Zero-Downtime Safety Assurance
Implement real-time human presence detection and predictive collision avoidance systems that operate with 99.99% uptime, preventing costly production halts and protecting your workforce without interrupting operations.
99.99%
System Uptime
0
Unplanned Stops
03
Reduced Insurance & Liability Costs
Demonstrate certified safety engineering and auditable compliance logs to insurers, leading to premium reductions of 15-25% and shielding your enterprise from costly litigation related to autonomous system incidents.
15-25%
Premium Reduction
100%
Audit Ready
04
Enhanced Operational Trust & Uptake
Build operator confidence in AI-driven systems with transparent, explainable safety protocols and intuitive spatial computing interfaces, leading to faster workforce adoption and a 40%+ increase in human-robot collaboration efficiency.
40%+
Collaboration Efficiency
< 1 day
Operator Training
05
Future-Proof Regulatory Compliance
Proactively adapt to evolving global standards like the EU AI Act and upcoming OSHA guidelines with a modular safety architecture, avoiding expensive last-minute re-engineering and ensuring continuous operation.
0
Compliance Gaps
100%
Framework Modularity
06
Quantifiable Risk Mitigation
Replace subjective safety assessments with data-driven risk scoring powered by real-time sensor fusion AI, providing C-suite with clear metrics on hazard reduction and enabling informed capital allocation for safety investments.
95%
Hazard Prediction Accuracy
Real-time
Risk Dashboard
Comprehensive Compliance Framework
Mapping AI Safety Features to Regulatory Standards
Our safety engineering services directly implement technical controls to meet and exceed global industrial standards. This table maps core features to the specific regulatory requirements they address.
| Safety & Compliance Feature | ISO 10218-1/2 (Robots) | ISO/TS 15066 (HRC) | IEC 61508 (Functional Safety) | Custom Risk Assessment |
|---|---|---|---|---|
Real-time Human Presence Detection | ||||
Predictive Collision Avoidance Algorithms | ||||
Safety-Rated Monitored Stop (SMS) | ||||
Speed & Separation Monitoring (SSM) | ||||
Power & Force Limiting (PFL) Integration | ||||
Audit Trail & Event Logging (Data Lineage) | ||||
Safety Integrity Level (SIL) 2/3 Certification | Optional | |||
Custom Risk Assessment & Mitigation Plan | ||||
Ongoing Compliance Monitoring & Reporting | Basic | Standard | Advanced | Continuous |
Typical Implementation Scope | Single Robot Cell | Collaborative Workcell | Full Production Line | Enterprise-Wide System |
PROVEN APPROACH
Our Phased Methodology for Risk-Free Deployment
We de-risk your AI safety integration with a structured, four-phase process that prioritizes compliance and operational reliability from day one, ensuring your systems meet ISO 10218 and ISO/TS 15066 standards without disrupting production.
01
Phase 1: Safety & Compliance Audit
We conduct a comprehensive gap analysis of your current robotics and AI systems against target safety standards (ISO 10218, ISO/TS 15066). This includes a review of operational procedures, physical safeguards, and software logic to establish a baseline compliance roadmap.
ISO 10218
Compliance Baseline
< 2 weeks
Initial Assessment
02
Phase 2: Risk-Mitigated Prototyping
We develop and validate core safety functions—like real-time human presence detection and predictive collision avoidance—in a controlled simulation environment. This phase uses tools like NVIDIA Isaac Sim to test edge cases and failure modes before any physical deployment.
99.9%
Simulation Accuracy
Zero Downtime
Production Risk
03
Phase 3: Controlled Field Piloting
We deploy and integrate the validated AI safety modules into a single, non-critical production line or robot cell. Our engineers monitor system performance in real-world conditions, collecting data to fine-tune models and verify compliance under actual operational variance.
4-6 weeks
Typical Pilot Duration
> 95%
Initial Safety Score
04
Phase 4: Full-Scale Deployment & Governance
We orchestrate the enterprise-wide rollout of the certified safety systems, including installation of necessary edge compute hardware and integration with your MES/SCADA systems. We establish continuous monitoring dashboards and documentation for ongoing compliance audits.
Full ISO/TS 15066
Documentation Package
99.9% Uptime SLA
Supported Deployment
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
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Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
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Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
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Industrial AI Safety and Compliance: Key Questions
Before integrating AI into your physical operations, technical leaders need clear answers on process, security, and compliance. Here are the most common questions we address for CTOs and engineering leads.
Our engineering process is built around a compliance-by-design approach. We start with a formal risk assessment (HAZOP/FMEA) to map all human-robot interaction points. Our safety systems are then architected as deterministic, redundant layers—combining certified safety-rated hardware (e.g., Pilz, Sick) with AI-driven predictive software for collision avoidance and human presence detection. We deliver a compliance dossier with all required documentation, test reports, and validation records for your notified body audit. This structured methodology has been proven across 50+ industrial deployments.
About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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Review the use case
We understand the task, the users, and where AI can actually help.
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Pick the right approach
We define what needs search, automation, or product integration.
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Build the first useful version
We implement the part that proves the value first.
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Improve from there
We add the checks and visibility needed to keep it useful.
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