This month, we’re introducing meaningful enhancements designed to elevate your workflow through greater model flexibility, stronger data governance, and more adaptable outputs.
We believe powerful tools should advance alongside the analysts who depend on them. January improvements deliver smoother processes, stronger trust in your data, and the clarity required to make every insight count.
Here's what's new this month:
Expanded Capabilities with Gemini Model Support for Agents
Savant has officially expanded its supported LLM providers to include Google Gemini, giving you a powerful new alternative alongside OpenAI and Anthropic.
This expansion gives teams greater flexibility across Savant’s agentic suite - Vision, Fuse, and Infer allowing each workflow to be powered by the model best suited for the task. Whether you need Gemini’s massive context window, OpenAI’s reasoning, or Anthropic’s precision, the choice is now yours.
How we use with AI Agents , mention agentic suite of savant due to options.
True Model Agnosticism: You have more model options to optimize for outcomes
Low friction Flexibility: You can utilize models of your choice and access
Centralized Credential Management for AI Providers
Savant now extends its secure Vault to support credentials for AI providers, making it easier to manage and reuse access across OpenAI, Azure OpenAI, Anthropic, and Gemini. Instead of entering API tokens separately for each connection, teams can store credentials once and use them consistently wherever AI capabilities are configured. This brings AI connectors in line with Savant’s existing security model reducing duplication, improving governance, and supporting growth as usage scales.
Credentials are securely stored, masked in the UI, and reusable across connectors, while existing setups continue to work without disruption. The experience is unified across providers, and performance remains unchanged when establishing connections.
Unified Governance : Stronger security and compliance without added friction.
Streamlined Scalability:Teams can scale AI usage confidently with centralized control and a cleaner setup experience.
Header Control for File Exports
Not every system wants column names.When you export analysis results to file-based destinations like OneDrive, SharePoint, Google Drive, or Box, you can now choose whether headers are included in the output. By default, nothing changes. Headers are written just as they always have been. But when your downstream workflow expects raw rows only, you can turn headers off and move on without extra steps.
This gives you cleaner handoffs and outputs that fit naturally into automated pipelines, append workflows, and strict ingestion systems.
Eliminates manual cleanup by exporting files that are ready to use as-is
Works seamlessly with downstream systems that require strict, headerless formats
A small control that makes exports fit better wherever they go.
Insight. Action. Impact.
These updates make your workflows sharper, your outputs cleaner, and your analysis easier to trust. We’re continuing to ship improvements every week, all designed to help you move faster, work smarter, and deliver your best work with less effort.
Have feedback, ideas, or requests? We’d love to hear from you.