The global video analytics market was valued at USD 12.71 billion in 2024 and is projected to grow to USD 37.84 billion by 2030 (19.5% CAGR), highlighting the surging demand for intelligent visual data processing. Yet manufacturers, retailers, energy providers, and healthcare enterprises still wrestle with manual video review workflows that shackle teams to hours of footage analysis, delaying critical insights, and draining productivity.

A Fragmented Workflow’s Real Cost

Across factory floors, store aisles, and hospital corridors, unplanned downtime, operational incidents, and manual inspections continue to derail performance. Despite IoT sensors and automation efforts, the leap from raw video streams to actionable intelligence remains out of reach, teams waste valuable hours reconciling logs and investigating anomalies long after incidents occur.

Turning the Tide with CT Vision

We are super excited to announce CT Vision, a breakthrough Databricks Brickbuilder Agentic Vision AI Solution that elevates enterprise video analytics. By orchestrating autonomous, real-time intelligence from raw video streams, CT Vision empowers enterprises to leap from reactive troubleshooting to proactive excellence, cutting manual review overhead, accelerating incident detection, and driving safety and productivity within minutes.

CT Vision: A Databricks Brickbuilder Solution

CT Vision integrates natively with Databricks Lakehouse Platform to enable enterprise-scale visual intelligence workflows. By utilizing Unity Catalog for secure data and model governance, Databricks workflows for multi-agent orchestration, MLflow for continuous model evaluation, and leveraging AgentBricks for rapid development, CT Vision ensures scalable multi-modal AI coordination with enterprise-grade data lineage and observability across all autonomous visual analytics processes.

The Agent Framework at CT Vision's core creates a dynamic ecosystem of intelligent, task-specific AI agents that transform visual data into real-time business insights through collaborative intelligence networks:

• Industry-Specific Agents: Domain experts trained to understand industry workflows, safety standards, and operational nuances.
• Industry-Agnostic Agents: General-purpose specialists for compliance monitoring, EHS metrics, and automated quality checks.
• Custom Workflow Agents: Fully tailored to organizational processes, product lines, and operational protocols.

These agents collaborate through LakeFlow Connect orchestration, cross-validate insights, and create intelligent meshes that power predictive, proactive, and context-aware enterprise operations.

CT Vision addresses critical enterprise challenges through advanced capabilities in content discovery within video repositories, comprehensive video asset management, real-time analysis processing, and dynamic content modification needs across diverse industries. This positions the platform as a comprehensive solution for enterprises seeking to unlock visual data insights at scale.

Industry-Ready Solutions with CT Vision

CT Vision enables businesses to automate complex visual intelligence workflows across critical enterprise scenarios, delivering transformative outcomes tailored to industry-specific operational challenges:

A large-scale utilities enterprise struggled with inconsistent field inspections and rising maintenance costs; they turned to CT Vision, Celebal Technologies Vision AI accelerator built on Databricks Lakehouse. Previously, manual inspections relied on subjective human assessment, often missing critical defects and delaying maintenance. With CT Vision’s agentic and multimodal AI models, the process became fully automated detecting rust, leaks, and damage while grading condition severity with over 90% accuracy. Integration with Databricks enabled seamless ingestion, processing, and visualization of inspection data through Power BI dashboards, giving teams instant access to defect insights and compliance analytics. The results: 85% efficiency improvement, consistent inspection quality, and lower operational costs - all powered by CT Vision.

Databricks X CT Vision: The Technical Excellence Differentiator

The strategic collaboration delivers enterprise-ready Vision AI at scale by combining Databricks unified platform with CT Vision's multimodal intelligence.

1. Cross-Modal Analytics Engine
CT Vision's engine enables zero-shot learning and cross-modal retrieval that adapts to new scenarios without extensive retraining. This sophisticated fusion creates comprehensive intelligence beyond traditional computer vision systems.

2.Unity Catalog: Enterprise governance scale
The centralized governance system manages all data and AI assets including computer vision models, video datasets, and analytical workflows through a hierarchical structure that ensures comprehensive security. The Adaptive Scaling Technology within Unity Catalog optimizes dynamic resource allocation across different deployment environments while maintaining consistent performance, enabling enterprises to scale from proof-of-concept to enterprise-wide deployment seamlessly.

3.Agentic Intelligence Network
AgentBricks transforms CT Vision into an autonomous intelligence network with specialized agents that collaborate seamlessly, sharing unified context through the Lakehouse. Integrated with Genie Spaces, it enables human AI co-creation with contextual reasoning and adaptive decision-making.

4.MLflow: Continuous Intelligence Evolution
MLflow enables agents to self-evaluate, compare outputs, and trigger retraining based on performance insights. This feedback loop ensures models and agents evolve dynamically with new data, maintaining precision across real-world scenarios.

5.Lakefow Connect: Unified Integration Engine
LakeFlow Connect streamlines ingestion from structured, unstructured, and streaming sources into the Lakehouse with low-code automation and native connectors. It bridges external data systems, IoT feeds, and video analytics pipelines into one governed environment. This unified integration ensures that every AI workflow - from agent reasoning to model evaluation which operates on consistent, high-quality data. Together with Unity Catalog and AgentBricks, it forms a foundation for an orchestrated, real-time Vision AI platform.

6.Foundation Model Integration
Leveraging Databricks support for Llama 2, MPT, and custom LLMs, CT Vision fine-tunes vision-language models using domain-specific data, delivering contextual insights that go beyond basic object detection or classification.

7.Intelligent Content Indexing
Mosaic Search delivers advanced scene understanding and semantic categorization with hybrid search capabilities, enabling teams to query visual datasets using both image and text queries for superior content-based retrieval. This system utilizes semantic and hybrid search capabilities powered by Databricks Vector Search, enabling teams to query visual datasets using both image and text queries.

Why CT Vision and Databricks?

CT Vision exemplifies the next generation of Vision AI - agentic, multimodal, and enterprise-ready, redefining how industries leverage computer vision, video analytics, and industrial AI to drive intelligent operations. Through its deep integration with the Databricks Lakehouse, CT Vision enables enterprises to harness the full potential of their visual data for unified operational visibility, safety, and decision intelligence within a governed framework.

With support for popular video formats such as MP4, AVI, and MKV, and streaming protocols like RTSP, HLS, and WebRTC, CT Vision ensures seamless ingestion and real-time analysis across diverse infrastructures.

CT Vision’s Brickbuilder solution isn’t just about seeing more - it’s about understanding better, acting faster, and scaling smarter.

Get in touch with our experts to explore more about CT Vision Brickbuilder solution to accelerate your enterprise video analytics transformation. Connect us at enterprise.ctvision@celebaltech.com