Deploying EdgeAI into real world operations.
Leading organisations trust in Peregrine Labs
Who we are
We are your partner for highly efficient computer vision and AI-driven perception software on embedded systems. We support your company from the identification of use cases to the development and operation of scaled solutions.
Adaptive CV stack
Sustainable AI
Preserving privacy
Our offering
From strategy to scale — we partner with you to build impactful AI products that move with the market.
AI strategy & market research
Before you build, we help you think. Our strategy work connects technical feasibility with field insight, whether you’re in mobility, manufacturing, or defense. We map your AI opportunity with data, not fluff.
Use-case deep dives (e.g. safety, compliance, logistics)
Regulatory and privacy alignment (GDPR, edge-first strategy)
Competitive insight in computer vision markets
Roadmapping for fast prototyping
MVP development
Bring your visual intelligence use case to life fast. Our MVP builds turn your concept into a working prototype, using the same camera-based engine we deploy in smart infrastructure and mobility systems.
Edge-optimized AI pipelines for low-power hardware
In-field testing with real video data
Contextual search, event detection, and analytics UX
Hardware integration + on-device inference setup
Production & MLOps
When it’s time to scale, we help you do it smart. We design systems that learn from the edge, stay privacy-compliant, and stay efficient — from cloud deployments to completely cloudless environments.
Model optimization for GPU/CPU/ASIC targets
CI/CD for vision pipelines
Multi-domain monitoring: safety, compliance, security
Real-time alerting & feedback loops
Build value-driven AI systems. With engineers who've done it
From idea to deployment in weeks, not years
We support organizations in identifying and scoping AI opportunities, evaluating feasibility, and designing AI systems that are fit for real-world constraints, especially embedded or edge-based deployment.
- Strategy and scoping workshops
- Proof-of-concept planning
- Embedded/efficient AI system architecture
- Roadmaps covering data strategy and build-vs-buy decisions
Full-stack development, end-to-end delivery.
We lead the design and development of custom AI systems, with deep technical execution and tight integration into production environments. This is our most comprehensive track.
Scope includes:
- Model development and optimization
- Embedded & efficient AI deployment
- Real-time computer vision pipelines and sensor fusion
- Production-grade system integration and validation
Scalable expertise with minimal lead time
We offer access to senior engineers from the Labs Embedded Experts team who can embed directly into client teams, providing technical depth and domain expertise where it’s needed most.
- On-demand staff with deep CV, ML, embedded AI expertise
- Remote-first, but integrated into the your own tech stack
- Operates like an internal AI team with external flexibility
Visual intelligence across operational domains
We are your partner when AI is deployed beyond the web browser in real world applications that face human-machine interactions.
On duty with bodycams
We deployed our anonymization, object detection and classification algorithms on bodycams to demonstrate our capabilities in pose tracking of pedestrians, allowing for diverse applications in the security domain.
In the air with GAIA-X
As part of Gaia-X for Future Mobility, we led a project providing real-time visual intelligence via drones to the fire brigade on their way to the emergency site.
In public spaces with 5-SAFE
Designed and developed in collaboration with T-Systems, Landshut University of Applied Science, and the City of Landshut, and backed by Germany’s BMDV.
The 5-SAFE system utilizes 5G-enabled sensors and dynamic, adaptive traffic signage to proactively monitor pedestrian and vehicular activity, triggering alerts when it detects genuine risks in critical school zones.
On the road in Hamburg
In partnership with the City of Hamburg, we are transforming urban mobility with AI-powered road condition monitoring. Our computer vision tech captures real-time insights directly from fleet vehicles, turning everyday routes into dynamic data streams.
The result? Faster detection of potholes, road wear, and infrastructure issues that cities can act on before they escalate. Hamburg is just the start.
Technical building blocks
We enable the scalable implementation and seamless integration of our perception systems through the combination of proven technical building blocks.
Hardware-agnostic
OTA updates
Modular framework
Cloud services
Ready-to-use data APIs
Automatic anonymization
Infrastructure-as-a-Service
Global connectivity solutions
Supported platforms
Privacy is our priority
Video data contains personal information such as faces and license plates. Peregrine’s technology automatically anonymizes information at petabyte scale before storing traffic scenes. This differentiates our technology from common dash cams or other video solutions.
Our network of research partners
In early 2023, we hired the first Ph.D. student conducting cutting-edge research at the intersection of AI and sustainability as part of a joint program between HPI and Peregrine.
Professor Ralf Herbrich
We have successfully conducted joint research on Self-Supervised Contrastive Learning in Traffic Scenes, experimenting with new approaches for Instance Segmentation using unique data provided by Peregrine.
Professor Cyrill Stachniss
We worked with Peregrine and Seagate to experiment with real-time data logging and Peregrine's smart data campaigning system for real-time data annotation using our self-driving vehicle “MadeInGermany”.