A Closed-Loop Industrial AI Product Matrix
VisionFlow training platform, VisionCore inference platform and AI compute appliances form a software–hardware matrix covering the full lifecycle: data collection, cleaning and labeling, model training, deployment and inference, result review, and continuous optimization.
VisionCore — Industrial Vision Inference Platform
The core engine for AI inferencing, data integration and real-time analysis. Connects directly to your existing CCTV system — no retrofitting — for 7×24 real-time video AI analysis.
BACE Orchestration Engine
Business AI Collaboration Engine. Declarative scenario definitions and a built-in primitive system upgrade complex scenarios from project-style coding to standardized configuration — launch in hours, not days.
PPMs Pre-Trained Models
100+ industrial pre-trained models covering PPE detection, personnel behavior, forklift safety, smoke & fire, defect detection, OCR and meter reading — plug-and-play ready.
ADS API / SDK Services
Rich APIs and SDKs for seamless integration with MES, WMS, EHS and enterprise messaging — plus agent-system connectivity for an end-to-end business loop.
VisionFlow — Industrial Image Data Training Platform
Professional image data cleaning, labeling and training. Supports private, on-premises model training and continuous iteration — your data never leaves your site, and every deployment feeds a data loop for ongoing model improvement.
VLIB
Data Import + Regression. Data ingestion, cleaning and model regression testing to safeguard iteration quality.
DLR
Dataset Label Review. Professional labeling and review tooling for efficiency and consistency.
RAPID
Result + Review. AI output review; QC scenarios accumulate positive and negative samples that feed back into training.
AI Devices — Industrial AI Compute Appliances
A full compute stack from enterprise data center to mobile edge, supporting edge + central hybrid deployment architectures.
Server
High-performance integrated industrial servers. Clusters build enterprise-grade real-time video analysis centers with Master–Slave multi-GPU architecture handling thousands of streams.
Edge
Integrated edge AI devices process video locally and upload only structured event results — dramatically lower bandwidth and stronger data security.
EdgeGo
Mobile AI edge device for construction sites, inspection work and other flexible deployments — power on and go.
| Deployment Mode | Best For | Highlights |
|---|---|---|
| Centralized (Server cluster) | Group-level video analysis centers, multi-factory management | Thousands of streams in real time, elastic Master–Slave scaling |
| Edge + Central hybrid | Multi-site parks, gas station networks, ports & terminals | Local edge analysis, central operations, low bandwidth |
| Mobile edge (EdgeGo) | Construction sites, temporary work zones, smart inspection | Flexible deployment, rapid go-live |
Industrial Agent — the AI Harness
In industrial settings, traditional vision-language models often run into high compute cost, complex deployment and limited scalability. Irista's in-house Industrial AI Harness takes a different path — orchestrating Detection, Reasoning and Insight across multiple AI capabilities to build a continuously evolving industrial agent platform. Vision, language, time-series and domain-specific models work together flexibly, delivering intelligent perception, analysis and decision-making in complex industrial environments while safeguarding data security and real-time response.
Multi-AI Orchestration
Built on a model-agnostic architecture, the Harness orchestrates Detection, Reasoning and Insight across multiple AI capabilities — composed freely per scenario and run across edge and cloud.
Multi-Source Perception Fusion
Fuses CCTV, drone, thermal, IoT and industrial-sensor data to maintain stable, reliable perception under backlight, rain, fog, dust, smoke and obstruction.
Edge-First · Efficient Scaling
Real-time edge inference works in concert with the cloud; dynamic compute scheduling and lightweight models deliver low-latency, cost-efficient deployment that scales smoothly to large operations.
Open Architecture · Continuously Evolving
Vendor- and model-neutral by design — keep adding vision, language, time-series and domain models so the platform grows with your business and protects long-term investment value.
A self-improving loop — no human needed
At industrial scale, lighting, rain, fog, dust and obstruction lead to missed detections and false alerts, and manual retraining can't keep up with thousands of cameras. The Industrial AI Harness automates the entire process — from detection to insight, forming a self-evolving loop that needs no human intervention.
Detect检测
Detection AI flags a possible event in real time — PPE breach, intrusion, smoke.
Cross-reference交叉研判
Reasoning AI reviews the event and confirms or rejects it.
Queue for learning学习队列
Confirmed edge cases queue for the next learning update — no human needed.
Auto-deploy自动部署
A focused model update runs, is verified, and rolls out to the affected cameras.
Root-cause + insight根因与洞察
Insight AI surfaces root causes and turns them into actionable recommendations.
| Dimension | Traditional CCTV / VMS | Single-vertical CV vendors | VLM-only "no-train" platforms | Irista Industrial Agent |
|---|---|---|---|---|
| AI architecture | Passive recording (no AI) | Single hard-coded model | Single zero-shot VLM | Industrial AI Harness — edge or cloud AIs, customer-configurable |
| Complex environments | Camera-only | Limited sensor fusion | Vision-only at inference | Multi-sensor fusion: CCTV + drone + thermal + IoT |
| Privacy & data sovereignty | Local NVR | Cloud-uploaded | Cloud inference required | Edge-first by default · cloud-LLM optional per scenario |
| Scalability — thousands of cameras | Manual review | Bespoke per scenario | Cost grows non-linearly | Dynamic compute scheduling + edge inference · cost-controlled scaling |
| High accuracy at industrial scale | None | Site-specific tuning | Unpredictable, no industrial track record | Self-correcting multi-AI loop · proven at industrial scale |
| Low latency · real-time alerts | Manual review only | On-prem · seconds | Cloud VLM round-trip · multi-second | Edge inference · sub-second on site |
The Industrial AI Harness orchestrates multiple AI capabilities into a continuously evolving industrial agent platform — unified today, extensible tomorrow — reducing false alerts and sharpening decisions as it scales with your operations.
TDS — Training & Deploying Service
A delivery team of AI experts, system engineers and industry consultants provides end-to-end service from PoC validation and custom model training to enterprise-scale rollout. A typical PoC completes in 5–7 weeks: edge deployment → platform setup → system integration → custom scenario development.