Semantic video search made simple by your AI agents
Swiftask connects your AI agents to Reduct.Video to turn your video libraries into searchable knowledge bases using natural language.
Result:
Stop wasting time watching hours of footage. Ask a question, get the answer, and the exact clip instantly.
AI Agents
reduct.video
Connector reduct.video · Secure OAuth 2.0
The challenge of finding information in video archives
Organizations accumulate thousands of hours of meetings, interviews, and webinars. Finding a specific point in this mass of data is a daily headache that slows down innovation and decision-making.
Main negative impacts:
Time lost in manual review
Manually scrubbing through hours of video to find a quote or decision is inefficient and costly.
Siloed knowledge
Information remains trapped in video files, inaccessible to standard enterprise search tools.
Operational misalignment
The inability to quickly extract video insights prevents teams from staying consistent on complex projects.
With Swiftask and Reduct.Video, your AI agents index and analyze the semantic content of your videos. You query your archives just like you query a text database.
BEFORE / AFTER
What changes with Swiftask
The traditional method
You are looking for a specific client recommendation. You open every recording, scan it visually, and try to remember the key moment. You spend 2 hours finding 30 seconds of information.
The Swiftask + Reduct.Video approach
You ask your AI agent: 'What were the main pricing objections in last month's calls?'. The agent analyzes transcripts via Reduct.Video and returns the exact clips in 5 seconds.
Implementing your video search engine
1
STEP 1 : Link your Reduct.Video account
Connect your Reduct.Video workspace to Swiftask via our secure interface to enable indexing of your libraries.
2
STEP 2 : Configure the analysis agent
Define your agent's search boundaries: which video projects or folders should it monitor?
3
STEP 3 : Define your search intents
Teach your agent to recognize key themes specific to your business to refine result relevance.
4
STEP 4 : Query, extract, share
Ask your questions via Swiftask. The agent extracts relevant video segments, ready to be shared.
Advanced semantic analysis capabilities
The agent doesn't just search for keywords; it understands the context, sentiment, and intent behind every video exchange.
- Target connector: The agent performs the right actions in reduct.video based on event context.
- Automated actions: Automatic clip extraction based on semantic queries. Automatic meeting summaries with video citations. Topic comparison across multiple sessions. Multimodal search.
- Native governance: All searches are auditable and linked directly to the original sources in Reduct.Video.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-reduct.video@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why choose Swiftask for your video data?
Massive productivity gain
Reduce video information search time from hours to seconds.
Leverage existing assets
Turn dormant video archives into a strategic and actionable information asset.
Contextual accuracy
Thanks to semantic AI, get relevant results even if the exact terms weren't spoken.
Easy sharing
Generate short clips directly from search results to convince your stakeholders.
No-code architecture
No engineers needed to build your custom video search engine.
Security and privacy
Swiftask applies enterprise-grade security standards for your reduct.video automations.
- Access encryption: APIs between Swiftask and Reduct.Video use secure protocols to guarantee your data integrity.
- Fine-grained permissions: Control exactly who can query which video libraries within your organization.
- Enterprise compliance: Swiftask adheres to the strictest security standards for processing your professional data.
- Technology independence: Your data remains under your control, with full portability between your tools.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Search time | 120 minutes/query | Less than 1 minute |
| Archive utilization | Less than 5% | Over 85% |
| Insight accuracy | Memory dependent | Evidence-based |
| Team adoption | Low | High (simplified interface) |
Take action with reduct.video
Stop wasting time watching hours of footage. Ask a question, get the answer, and the exact clip instantly.