Why does manual security management become an unsustainable cost as organizations expand?
Organizations operating multiple cameras face difficulty monitoring all streams in real time, detecting abnormal events early, and converting raw video feeds into actionable insights.
Fragmented Data
Raw video feeds are scattered across systems with no unified intelligence layer.
Monitoring Fatigue
Human operators miss up to 90% of events after just 20 minutes of monitoring.
Delayed Response
Incidents are often discovered hours after they occur, leading to increased risk.
Operational Inefficiency
Manual surveillance is costly, error-prone, and impossible to scale effectively.
CORE CAPABILITIES
Our platform processes video in real time using computer vision models to detect people, vehicles, PPE compliance, and unsafe behavior.
Multi-camera Management
Behavior Recognition
Advanced Analytics
Camera-level Control
Event Storage & Playback
Real-time Alerting
HOW IT WORKS
Vision Platform transforms your passive camera network into a proactive intelligence ecosystem. By layering advanced computer vision models onto your existing video streams, the platform automatically parses thousands of hours of raw footage in real-time-identifying risks, recognizing behaviors, and surfacing critical insights through a single, centralized command center
Video Ingestion
Connect to any IP camera, NVR, or VMS via RTSP/ONVIF protocols.
AI Inference
Real-time processing using optimized CV models for object and behavior detection.
Rules Engine
Define custom logic for alerts, such as restricted zone entry or missing PPE.
SOLUTION ARCHITECTURE
Our architecture bridges the gap between raw hardware and actionable intelligence. Organized into three specialized layers, the Vision Platform manages the entire lifecycle of a video frame from edge-to-cloud ingestion and deep-learning analysis to the delivery of real-time alerts.
Experience Layer
- Centralized monitoring dashboard
- Alert center
- Playback and analytics interface
Intelligence Layer
- Video ingestion
- CV inference engine
- Event detection/rules engine
- Alerting engine
- Analytics module
Infrastructure & Data Layer
- Camera/stream connectors
- Video/event storage
- Metadata database
- Model management
- Access control
Seamless integrations with your existing tools
SECURITY & GOVERNANCE
We prioritize data privacy and security at every layer. Our platform supports on-premise deployment to ensure sensitive video data never leaves your network.
End-to-end Encryption
Role-based Access Control
Local Data Processing
Audit Logging
Tech stack
Our AI automation solutions are built on a flexible, cloud-agnostic technology stack that supports secure deployment, scalability, and long-term maintainability across enterprise environments.
CASE STUDIES
Explore how Savvycom has delivered AI-powered knowledge and automation solutions across legal, logistics, insurance, and enterprise operations, with measurable business impact.
AI-Powered Legal Contract Review for a Top Korean Logistics Company
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Frequent Asked Questions
Explore quick answers to common questions about AI adoption, helping you get started with clarity and confidence.
Savvycom builds the orchestration and integration layer between Gemini and your systems: API adapters and data mapping, workflow state and tool routing, identity, policy and approval gates, plus audit, monitoring and cost tracking. Gemini supplies the reasoning; the integration layer holds access and business authority.
No. Gemini can propose function calls, but your application code executes them only after validation against schemas and business rules. Actions that change records can require a responsible user's approval, and internal credentials stay in the integration layer.
Not always, and Savvycom does not treat it as a default. It fits especially well when approved data already lives in Google Cloud, BigQuery or Workspace. Discovery tests model fit, cost and latency on a real workflow, and the architecture can keep options open for other models.
Let’s Talk About Your AI Journey
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