
Irisity
Irisity, a Gothenburg company listed on Nasdaq First North, makes IRIS+, deep-learning video analytics that runs across large camera networks.
Founded in 2009 with 51 to 200 staff, it markets IRIS+ to airports for monitoring crowds and multi-camera environments. The register holds no named, dated airport deployment and has not verified the figures in its marketing.
No verified deployments yet
Irisity is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
1 productIRIS+™
IRIS+™ is Irisity's flagship open-platform AI-powered video analytics solution, launched in September 2022 as a unification of the legacy IRIS™ and Agent Vi innoVi platforms. It enables real-time detection, forensic video search, and statistical data analysis across any IP camera infrastructure.
Enables airport operators to monitor large multi-camera environments without continuous human operator attention - detecting security threats, unauthorized access, crowd density anomalies, loitering vehicles, and unattended objects in real time while providing forensic investigation tools for post-incident review.
- Real-time AI detection agents: perimeter intrusion, line crossing, loitering, unattended objects, crowd density, stopped vehicle, counterflow traffic, fire and smoke
- Crowd counting for up to 10,000 people per frame (R2 2024 update); crowd density analytics for up to 50,000 people (airport deployment, April 2026)
- IRIS+ Investigator: forensic video search across extracted metadata
- Free Text Search and Search-for-Similar using vision-language models (VLM) and large language models (LLM) - natural language video querying
8 more features
- Floating license model: licenses not tied to specific cameras, movable across the camera estate
- Built-in anonymization (patented): adaptive pixelization, blurring, and white masking of persons in live and recorded video
- Health monitoring: real-time alerts on video feed quality, connectivity, and pipeline integrity
- BI Dashboard: configurable statistics, reports, and data visualization
- IRIS+ Simulator: proof-of-concept deployment in under 20 minutes on existing cameras
- On-premises, cloud (Google Cloud Platform multi-tenant), hybrid, and edge deployment options
- Kubernetes-based architecture with horizontal and vertical scalability
- Open platform: compatible with any IP camera brand and model
Technical specifications (6)
- Runs on Kubernetes for container orchestration
- Edge appliance option: Irisity Edge 10 (Intel-based, processes approximately 10 cameras)
- Cloud deployment: Google Cloud Platform, multi-tenant, high availability
- Floating license: licenses can be reassigned across any camera in the estate
- Camera compatibility: any IP camera brand and model
- On-premises, SaaS (GCP), hybrid, and edge deployment options
- Listed product vendor on Identiv Airport Security Technology Portfolio (partner integration)
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
Irisity provides AI video analytics software (IRIS+) for real-time detection of suspicious activities in surveillance environments, airports, metro systems, construction sites, schools.
Read the rest
Its 20-year history gives it significant deployment data advantages over newer competitors.
The September 2025 leadership change and small loan (SEK 2M) suggest the company is navigating financial pressures.
Primary competitors in airport AI video analytics: Genetec, Milestone Systems (Motorola), and larger players like Bosch Security.
Aviation-specific applications include perimeter intrusion, security lane monitoring, and ramp surveillance.
Financial pressure signal: Irisity has taken on bridge loan financing and appointed an interim CEO as of 2025/2026, indicating financial stress.
Monitor for restructuring or sale.
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.