Memories.ai
Video intelligence infrastructure for indexing, searching, and acting on visual context across cameras and time.
About Memories.ai
Memories.ai is a video intelligence platform that turns raw footage into structured, persistent memory for search, analysis, and automated action. It indexes frames, spoken words, faces, objects, events, and related contextual details, then lets applications or operators retrieve relevant moments with natural-language queries. The platform is aimed at media archives, security operations, robotics, AI cameras, wearables, and other systems that need context across cameras and time. Deployment can be modular across cloud, on-premises, edge, or air-gapped environments. Security workflows can use real-time anomaly detection, cross-camera continuity, timestamped event records, APIs, and webhooks while retaining control of footage and derived data. Adoption still requires teams to plan video ingestion, credit usage, system integration, and the appropriate deployment architecture. A free plan supports initial evaluation, Plus expands monthly credits, and Enterprise adds custom volume, deployment, and service terms.
Best for
Best use cases
A natural-language query must locate a specific person, event, spoken phrase, or scene within an indexed video archive.
Incoming camera footage must be checked for anomalies while events and actions remain timestamped for later review.
A product must retain visual context across devices and time while fitting an existing cloud, edge, or on-premises stack.
Compare before choosing
Usage-based credits avoid per-seat fees, but high-volume video processing requires teams to estimate recurring consumption.
Multiple deployment options provide infrastructure flexibility, while enterprise setups require joint scoping and integration work.
Persistent multimodal indexing supports richer retrieval than transcript-only search, but it adds an ingestion and indexing stage.
Features
Search video archives
Index visual, audio, and contextual details so a natural-language query can retrieve relevant moments from a large video history.
Monitor security footage
Detect anomalies, connect activity across cameras, and preserve timestamped event records for incident investigation.
Build video-aware systems
Give robots, AI cameras, wearables, or media workflows a persistent visual memory through APIs and modular deployment.
Pros
- Natural-language retrieval combines visual, audio, and contextual details signals, reducing manual review of long video archives.
- Cloud, on-premises, edge, and air-gapped deployment options help the platform fit different data-control requirements.
- Usage-based pricing avoids per-seat charges, which can make shared access more practical for larger operational teams.
Cons
- Usage credits create a variable operating cost, so high-volume teams need to estimate query and indexing demand.
- Enterprise deployment requires scoping and integration with the customer’s cameras, storage, or operational systems.
- Video must be ingested and indexed before persistent retrieval works, adding a preparation stage to existing workflows.
Pricing Plans
Free
- 100 credits each month
- No contract required
- No credit card required to start
Plus
- 5,000 credits each month
- Lower annual billing rate
- Upgrade or cancel as needs change
Enterprise
- Custom usage volume
- Cloud, on-premises, edge, or air-gapped deployment
- Custom service-level agreement and deployment options
* Pricing information is for reference only. Please refer to the latest announcement on Memories.ai's official website.