Build Insights,
Not Infrastructure
We’ve taken care of all the essential building blocks so you don’t need to build them yourself. Our SmartSpace infrastructure includes data connectors, data containers, vectorisation, access control, developer tools, multi-agent collaboration, and an LLM marketplace.
Our platform provides a secure, scalable foundation for deploying generative AI solutions self-hosted in your own environment.
- Large Language Models we support
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Data Sources and Connectors
Connectors in SmartSpace allow you to sync and organise data from multiple sources seamlessly. Whether it’s from Azure Storage, SharePoint, or HubSpot, our native connectors hold the necessary credentials for data access and keep your data flowing smoothly into your workspaces.
Data Spaces
Data Spaces are containers for combining, storing, and processing data from multiple platforms for secure use within a Workspace. Select the data you need from each connector, and our platform sets up a continuous sync job. As new data comes in, it’s can be enriched using LLMs and automatically vectorized and stored in our vector database.
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Large Language Models
Our platform offers connectors to all leading public (or frontier) models, ensuring seamless integration with top-performing LLMs. Additionally, we can host open-source models, such as those found on Hugging Face, providing flexibility and choice for your AI projects. This enables you to leverage the best models available, tailored to your specific needs.
Data Ingestion
SmartSpace.ai features a data ingestion engine that can be configured to sync data from external sources into the SmartSpace platform. A delta copy of the data is taken every few minutes, and the data is vectorized and stored for use by workspaces.
Data Enrichment
Data retrieval for use in workspaces is greatly enhanced by enriching ingested data through various methods, such as tagging, entity recognition, named entity extraction, and key date extraction, among others.
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Data Vectorisation
Data is vectorized and stored for easy retrieval, optimizing both performance and accessibility. Storage options, such as chunk sizes and vectorization strategies, can be configured to suit specific needs and use cases. This flexibility ensures that data handling is efficient and tailored to individual workspace requirements.
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Access Controls
Access controls are integrated into workspaces and utilize your Entra (SSO) configuration. You can add individuals, groups, or principal accounts for API integration, ensuring secure and tailored access management.
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Developer Tools and APIs
For advanced use cases, developer tools and SDKs are available to create custom Python blocks for use in workflows. You can debug these from the Admin section or in a local IDE. An extensive list of APIs is available to suit your specific needs and build the required integrations.
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Deployment on MS Azure
Hosted in your own secure Azure environment, rest assured that nothing leaves your infrastructure without your permission. SmartSpace can be easily installed from the Azure Marketplace, providing a seamless and secure deployment experience.