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LLM-powered agents that operate on your vision data.

Conversational AI, automated reporting, AI search across video, and workflow automation - all grounded in your real-time vision pipeline.

AI Agents enterprise dashboard: LLM-powered conversational interface, automated reporting, AI video search, and workflow automation grounded in real-time vision pipeline
LLM
Native Integration
Any Source
Vision Data
Real-Time
Reasoning
Audit
Ready
SwiftVision AI https://swiftvision.ai/wp-content/uploads/logo.png https://twitter.com/swiftvisionai https://www.linkedin.com/company/swiftvision-ai

Every feature your operation needs.

Natural-language AI video search
Conversational analytics across sites
LLM integration with your data warehouse
Audit logs and approval gates
Automated AI reporting and summaries
Workflow automation: detect -> notify -> log
Custom agent skills and tools
API and Slack / Teams delivery

An enterprise UI built for daily operations.

AI chat assistant, auto-generated analytics reports, and a workflow automation canvas wiring detections into downstream systems.

Sports Intelligence enterprise dashboard showing court analytics, player tracking heatmaps, match timeline and per-player statistics

Where teams deploy this in production.

Real-world AI vision implementations across sports, events, and media.

Operations Teams

Ask 'show last week intrusions across all sites' and get a chart back.

Executive Reporting

Weekly auto-generated KPI summaries delivered to your inbox.

Workflow Automation

Route AI events into ticketing, dispatch, or compliance systems.

See the system live.

AI Agents
3:11

Smart AI Volleyball AI Agent

AI Agent
2:18

Advanced Object Extraction AI Agent

AI Agent
2:42

Object Measurement AI Agent

×

Outcomes from real customers.

5x
faster insights

Operations team 5x analytics velocity

Problem - Ad-hoc analytics required engineering tickets.

Result - Conversational analytics for every operator.

6h
weekly saved

Auto-reports replaced manual decks

Problem - Weekly KPI decks took 6 hours to build.

Result - AI ships the report every Monday at 9am.

12k
events routed

Workflow automation routed 12k events

Problem - AI events weren't reaching downstream systems.

Result - Detect -> notify -> log pipelines connect every event.

All case studies →

Deploy Enterprise AI Systems Built
for Real-World Operations

Discuss your AI deployment goals with our team and explore scalable AI infrastructure.

Schedule Enterprise Demo