The perception, memory, and action layer for AI agents
The perception, memory, and action layer for AI agents
VideoDB is the perception layer that lets agents see, hear, remember, and act on continuous media.
VideoDB is the perception layer that lets agents see, hear, remember, and act on continuous media.
VideoDB sits above transport layers and below agent logic
The API surface where agents query and manipulate reality. Instead of raw pixels, agents receive structured context, allowing them to reason and react instantly.
The API surface where agents query and manipulate reality. Instead of raw pixels, agents receive structured context, allowing them to reason and react instantly.
Semantic Stream Retrieval: Query "Show me when the delivery arrived" to get the exact clip + metadata.
Semantic Stream Retrieval: Query "Show me when the delivery arrived" to get the exact clip + metadata.
Real-time Triggers: Agents subscribe to real-time indexing context, create events, and trigger actions via WebSockets.
Real-time Triggers: Agents subscribe to real-time indexing context, create events, and trigger actions via WebSockets.
Programmatic Editing: Agents can crop, blur, or overlay data on the stream before output.
Programmatic Editing: Agents can crop, blur, or overlay data on the stream before output.
3. ACT & INTERFACE
Perception Layer
LLM Agents
Workflows
WebSocket Events
● Real-time
Semantic Retrieval
REST API
3. ACT & INTERFACE
Perception Layer
LLM Agents
Workflows
WebSocket Events
● Real-time
Semantic Retrieval
REST API
03. ACT
The API surface where agents query and manipulate reality. Instead of raw pixels, agents receive structured context, allowing them to reason and react instantly.
Semantic Stream Retrieval: Query "Show me when the delivery arrived" to get the exact clip + metadata.
Real-time Triggers: Agents subscribe to real-time indexing context, create events, and trigger actions via WebSockets.
Programmatic Editing: Agents can crop, blur, or overlay data on the stream before output.
3. ACT & INTERFACE
Perception Layer
LLM Agents
Workflows
WebSocket Events
● Real-time
Semantic Retrieval
REST API
3. ACT & INTERFACE
Perception Layer
LLM Agents
Workflows
WebSocket Events
● Real-time
Semantic Retrieval
REST API
The brain of the operation. We explode video into multidimensional indexes, syncing what is seen with what is heard.
The brain of the operation. We explode video into multidimensional indexes, syncing what is seen with what is heard.
Multimodal Indexing: Run concurrent indexes for spoken words, visual objects, and actions.
Multimodal Indexing: Run concurrent indexes for spoken words, visual objects, and actions.
Wall-Clock Sync: Perfect temporal alignment of audio and visual streams for accurate ground-truthing.
Wall-Clock Sync: Perfect temporal alignment of audio and visual streams for accurate ground-truthing.
Episodic Memory: Store indexes in knowledge banks for long-term agent recall.
Episodic Memory: Store indexes in knowledge banks for long-term agent recall.
2. COMPUTE & INDEX
Cognitive Engine
Core
Multimodal Indexing & VLM Orchestration
Processing
Scene Segmentation
Time
Wall-clock Sync
Analysis
Audio/Visual Prompts
Optimization
Intelligent Sampling
2. COMPUTE & INDEX
Cognitive Engine
Core
Multimodal Indexing & VLM Orchestration
Processing
Scene Segmentation
Time
Wall-clock Sync
Analysis
Audio/Visual Prompts
Optimization
Intelligent Sampling
02. UNDERSTAND
The brain of the operation. We explode video into multidimensional indexes, syncing what is seen with what is heard.
Multimodal Indexing: Run concurrent indexes for spoken words, visual objects, and actions.
Wall-Clock Sync: Perfect temporal alignment of audio and visual streams for accurate ground-truthing.
Episodic Memory: Store indexes in knowledge banks for long-term agent recall.
2. COMPUTE & INDEX
Cognitive Engine
Core
Multimodal Indexing & VLM Orchestration
Processing
Scene Segmentation
Time
Wall-clock Sync
Analysis
Audio/Visual Prompts
Optimization
Intelligent Sampling
2. COMPUTE & INDEX
Cognitive Engine
Core
Multimodal Indexing & VLM Orchestration
Processing
Scene Segmentation
Time
Wall-clock Sync
Analysis
Audio/Visual Prompts
Optimization
Intelligent Sampling
We handle the messy world of codecs and containers so your agents don't have to.
We handle the messy world of codecs and containers so your agents don't have to.
Zero-Toolchain Setup: No FFmpeg hell. Just npm install or pip install and ingest.
Zero-Toolchain Setup: No FFmpeg hell. Just npm install or pip install and ingest.
Universal Adaptors: Connect live drones, smart glasses, or S3 archives instantly.
Universal Adaptors: Connect live drones, smart glasses, or S3 archives instantly.
1. INGEST & NORMALIZE
Universal Ingest
Desktop Capture
RTSP/RTMP
Smart Glasses
S3 Buckets
Auto-Transcode & Normalize
1. INGEST & NORMALIZE
Universal Ingest
Desktop Capture
RTSP/RTMP
URLs and YouTube
Smart Glasses
S3 Buckets
Audio only
Auto-Transcode & Normalize
01. SEE
We handle the messy world of codecs and containers so your agents don't have to.
Zero-Toolchain Setup: No FFmpeg hell. Just npm install or pip install and ingest.
Universal Adaptors: Connect live drones, smart glasses, or S3 archives instantly.
1. INGEST & NORMALIZE
Universal Ingest
Desktop Capture
RTSP/RTMP
Smart Glasses
S3 Buckets
Auto-Transcode & Normalize
1. INGEST & NORMALIZE
Universal Ingest
Desktop Capture
RTSP/RTMP
URLs and YouTube
Smart Glasses
S3 Buckets
Audio only
Auto-Transcode & Normalize
VideoDB sits above transport layers and below agent logic
Low latency
Real-time pipelines for streams and desktop capture
Real-time pipelines for streams and desktop capture
Indexes as code
Prompts, sampling, and policies are programmable
Prompts, sampling, and policies are programmable
Agent outputs
Context, streams, and events in one interface
Context, streams, and events in one interface
Deploy Anywhere, Without Limits
Deploy Anywhere, Without Limits
Run VideoDB seamlessly on AWS, Google Cloud, Azure, or your private cloud — with the same enterprise-grade performance everywhere.
Enterprise SLAs
Enterprise SLAs
Dedicated Support
Dedicated Support
Custom Solutions
Custom Solutions
Volume Discounts
Volume Discounts
Deploy Anywhere, Without Limits
Run VideoDB seamlessly on AWS, Google Cloud, Azure, or your private cloud — with the same enterprise-grade performance everywhere.
Enterprise SLAs
Dedicated Support
Custom Solutions
Volume Discounts
Build perception once, reuse it across agents
Build perception once, reuse it across agents
Start with desktop capture, expand to streams, then extend the same architecture to mobile and physical AI devices.
Start with desktop capture, expand to streams, then extend the same architecture to mobile and physical AI devices.
FAQs
FAQs
FAQs
What does “low latency” mean in practice?
It means you can detect and emit useful signals close to wall clock time, not minutes later. The actual latency depends on your sampling rate, model choice, and what you consider “useful” output. The architecture is designed so you can run a cheap monitoring index continuously and only run expensive indexes on short windows when something interesting happens.
How do I control cost on always on sources like desktop capture?
Why do you support multiple indexes on the same stream?
How do you keep audio, video, transcript, and events aligned?
What does “low latency” mean in practice?
It means you can detect and emit useful signals close to wall clock time, not minutes later. The actual latency depends on your sampling rate, model choice, and what you consider “useful” output. The architecture is designed so you can run a cheap monitoring index continuously and only run expensive indexes on short windows when something interesting happens.
How do I control cost on always on sources like desktop capture?
Why do you support multiple indexes on the same stream?
How do you keep audio, video, transcript, and events aligned?
What does “low latency” mean in practice?
How do I control cost on always on sources like desktop capture?
Why do you support multiple indexes on the same stream?
How do you keep audio, video, transcript, and events aligned?
The Perception Layer for AI
Apt 2111 Lansing Street San Francisco, CA 94105 USA
HD-239, WeWork Prestige Atlanta, 80 Feet Main Road, Koramangala I Block, Bengaluru, Karnataka, 560034
sales@videodb.com
AUTOMATION
RESOURCES
The Perception Layer for AI
Apt 2111 Lansing Street San Francisco, CA 94105 USA
HD-239, WeWork Prestige Atlanta, 80 Feet Main Road, Koramangala I Block, Bengaluru, Karnataka, 560034
sales@videodb.com
AUTOMATION
RESOURCES
The Perception Layer for AI
Apt 2111 Lansing Street San Francisco, CA 94105 USA
HD-239, WeWork Prestige Atlanta, 80 Feet Main Road, Koramangala I Block, Bengaluru, Karnataka, 560034
sales@videodb.com