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Synaptivo trains and deploys specialized AI models in a client’s infrastructure, keeping training and inference in a closed environment so client data does not go to external providers. Its work includes on-premise AI deployments, custom models for prediction, classification and decisions, AI agents and automation, and analytics dashboards. The service is for companies that want to use AI while retaining control over their data and systems. Synaptivo describes a process from business-case workshops and a proof of concept through deployment, integration, training, compliance documentation, monitoring and support. It also publishes open-weight models and its AI Stack code.
Key features
- Trains and deploys AI models on-premise or in a dedicated environment
- Builds specialized models for prediction, classification and decision-making
- Provides AI agents that work with client systems, with permission controls and auditing
- Creates interactive analytics dashboards using client data
- Offers monitoring, updates and support under an SLA
- Publishes open-weight models on Hugging Face and AI Stack code on GitHub
Use cases
- 01Deploy AI in a company’s own infrastructure when data cannot be sent to the cloud
- 02Build models for predictions, classification and typed decisions
- 03Automate work across company systems using agents with access controls and auditing
- 04View key indicators and trends in interactive dashboards
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