Argonos Pixel
Turn visual data into specialized AI models
Argonos Pixel is a modular computer vision toolkit for images, documents, video and 3D assets. It covers ingestion, dataset construction, model training and inference, and can be deployed in the cloud or on-premise.
- 4 CVOps stages: ingestion, dataset construction, training and inference
- 4 Data types: images, documents, video and 3D assets
- 2 Deployment modes: cloud and on-premise
Argonos Pixel
One toolkit, two ways to build
Use Pixel Factory to build models from your data or Pixel Catalog to access computer vision capabilities such as reverse image search, object biometry and classical computer vision. Pixel also connects with Sinequa indexation and Argonos workflows.
Build models from your own data
Pixel Factory covers ingestion, dataset construction, training and deployment. It combines AI annotation and manual curation with proprietary pipelines for small, specialized models.
- Ingest images, documents, video and 3D assets
- Build clean datasets with AI-assisted annotation and manual curation
- Train proprietary, specialized models on client data
- Deploy inference services in the cloud or on-premise
Access computer vision capabilities
Pixel Catalog includes reverse image search, object biometry and classical computer vision capabilities such as detection and tracking. Pixel Video Intelligence adds video analysis, tracking, site security and counting.
- Reverse image search across indexed collections
- Object biometry for recognition and identification
- Detection, tracking and other classical computer vision capabilities
- Video analysis for tracking, counting and site-security use cases
From raw visual data to deployed models
-
Ingestion & Collection
Ingest raw visual data through Argonos OSINT, Sinequa and Argonos connectors.
-
Dataset Construction
Combine AI-assisted annotation and manual curation to create clean, usable datasets.
-
Model Training
Train small, specialized models with proprietary computer vision pipelines.
-
Efficient Inference
Serve trained models in cloud or on-premise environments.
-
Integration
Feed results into Sinequa indexation and Argonos agentic workflows.
Why Pixel
A modular computer vision stack from data to deployment
Pixel brings together data preparation, model training, inference, an SDK and connectors in a modular stack for images, documents, video and 3D assets.
The challenge
Pixel is designed around client data and domain expertise, with a workflow for building datasets and training specialized computer vision models.
Domain-specific data
Models can be trained on client or ingested data.
Dataset quality
AI annotation and manual curation are used to construct clean datasets.
Compute efficiency
The Pixel strategy uses small models to minimize GPU costs.
With Argonos Pixel
Build specialized models from your data
Models trained on your data
Pixel supports proprietary, customizable models trained on client or ingested data.
A complete dataset workflow
AI-assisted annotation and manual curation help turn raw visual data into clean training datasets.
Small, specialized models
Pixel uses small, specialized models with the objective of minimizing GPU costs.
The challenge
Pixel covers the chain from data ingestion and model training to inference and integration with Sinequa and Argonos.
End-to-end CVOps
Ingestion, dataset construction, training and deployment are covered within the Pixel Factory workflow.
Multiple data formats
The same technology stack handles images, documents, video and 3D assets.
Operational deployment
Models can be served in cloud and on-premise environments.
With Argonos Pixel
Connect Pixel to Sinequa and Argonos
Sinequa indexation
Pixel provides capabilities for indexing images, documents, video and 3D data at scale.
Agentic workflows
Pixel capabilities can be integrated with the Argonos agentic framework.
Flexible integration
Object Biometry can be integrated with Sinequa, Argonos or used standalone, in cloud or on-premise environments.
Use cases
Computer vision capabilities in Argonos Pixel
Train proprietary, customizable small AI models on your data for object recognition. The deck shows applications including anti-counterfeiting, luxury-watch recognition and ship identification.
Architecture
One stack for visual AI, from data to deployment
Argonos Pixel combines a training and data layer, inference servers, an SDK and connectors in one modular technology stack. The deck identifies integrations with VMS platforms, drones, tablets and specific connectors, alongside Pixel Factory, Pixel Catalog and Pixel Video Intelligence.
We are on an AI journey with
Explore more about Argonos Pixel
Reducing AML False Positives Through a Knowledge-Driven Approach to Compliance
Over 90% of AML alerts are false positives. Discover how enriching alerts with customer context can reduce unnecessary investigations and…
Read more
Beyond Chatbots and Copilots: The Rise of Operational AI in the Enterprise
AML platforms only cover part of a bank’s data. Discover how to unify information, reduce false positives, and strengthen compliance…
Read more
The Rise and Risk of MCP Servers
As enterprises race to harness the power of agentic AI, the Model Context Protocol (MCP) is emerging as a game-changing integration…
Read more