VLM
Vision Language Models
AI systems that perceive, understand, and reason through vision and language, benchmarked against SOTIF performance and ISO 26262 ASIL safety classifications.
perceptionSOTIFASIL-DOODO analysis
Make the Physical World operate smarter
Deploy secure, safe AI systems that understand real-world operations, accelerate engineering workflows, and power smarter cognitive decisions.
//About us
URCA AI is a Physical AI startup building intelligent autonomous systems that can sense, understand, reason, and act in real-world environments. From cognitive drones to smart perception systems and agentic engineering platforms, URCA transforms advanced AI into practical technologies for mobility, infrastructure, and industrial operations.
//Three pillars of Physical AI
VLM
Vision Language Models
AI systems that perceive, understand, and reason through vision and language, benchmarked against SOTIF performance and ISO 26262 ASIL safety classifications.
perceptionSOTIFASIL-DOODO analysis
VLA
Vision Language Action
Models that link perception to certifiable action, with traceable, validated decisions for vehicles, robots, and industrial machines.
action policytraceabilityHARAV&V
VQA
Visual Question Answering
Auditable visual AI that explains environments, enabling regulators, operators, and safety engineers to verify behavior during certification reviews.
explainabilitycertificationaudit trailquery
//System Architecture
01
Safety by Design
Define risks, intended use, constraints, and failure boundaries from the start
02
Validation & Red Teaming
Stress test models with edge cases, adversarial scenarios, and performance benchmarks.
03
Compliance & Traceability
Map evidence to requirements with clear documentation, audit trails, and approvals.
04
Secure Deployment & Monitoring
Deploy with guardrails, access controls, continuous monitoring, and incident response readiness.
//Our Products
IRIS— Cognitive Camera
A next-generation perception layer that goes beyond passive surveillance to convert visual data into actionable operational intelligence.
- Behavioral Recognition: Understands and analyzes movement, flow, and human behavior in real time.
- Contextual Understanding: Parses complex environment contexts rather than just counting data.
- Anomaly Detection: Tracks security events and triggers immediate situational awareness.
- Traffic & Facility Intelligence: Optimizes crowd insights for public spaces, infrastructure, and smart environments.
ARCH— Agentic V-Cycle Platform
An agentic engineering platform built to accelerate the ASPICE V-cycle for automotive and mobility teams, compressing workflows from months into hours.
- Workflow Acceleration: Speeds up ASPICE processes and V-cycle compliance seamlessly.
- Automated Safety Analysis: Generates and structures critical HARA and TARA security workflows.
- Requirements Engineering: Streamlines documentation, full traceability, and verification artifacts.
- Engineer Elevation: Designed to elevate engineering productivity, not to replace human talent.
//Target Deployment Sectors
Automotive OEMs & Tier-1 Suppliers
ADAS and autonomous vehicle programs facing the ISO 26262 certification bottleneck. Buyers: Chief Safety Officer, VP Engineering, ADAS Lead. The 18-month certification cycle — ends here.
Industrial Robotics & Automation
Companies deploying VLA models in manufacturing and logistics where liability is real. CTOs and robotics engineering leads who need certifiable AI action policies for physical systems in live environments.
Government & Defense
Public and private organizations advancing national AI priorities and requiring sovereign, verifiable Physical AI capabilities for critical systems and infrastructure.
//Get in touch
