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AI Agents

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
Capabilities

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
Dashboard

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

Use Cases

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.

Demos

See the system live.

Tennis
3:11

Tennis Match Analysis

Padel
2:18

Padel Player Tracking

Basketball
2:42

Basketball Shot Charts

Soccer
3:02

Soccer Event Detection

Cricket
1:55

Cricket Highlight Clipping

Volleyball
2:34

Volleyball Rally Stats

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Case Studies

Outcomes from real customers.

faster insights

Operations team 5× 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 designed for enterprise growth, automation, and operational excellence.