Siesta AI - 2026 Pricing, Features, Reviews & Alternatives

Siesta AI combines enterprise context infrastructure with a model-independent AI agent platform. It turns large volumes of unstructured documents, operational data, and external market signals into persistent, searchable organizational knowledge using vector indexes and knowledge graphs.

Agents equipped with reusable skills and tools operate through governed workflows and secure sandboxes. They use organizational knowledge to research, reason, produce source-grounded deliverables, and execute controlled actions. Teams can analyze due diligence data rooms, extract tender requirements, draft sourced proposals, review contracts, prepare management and portfolio reports, and continuously monitor competitors, regulations, technologies, news, and market opportunities.

Organizations can select the right model for each task. Frontier models can handle complex reasoning, while local and open-source LLMs can support continuous, high-volume processing at a predictable cost. Siesta AI can run as SaaS, in a private cloud, or on premises, preserving control over data, models, infrastructure, and access.

Human approvals, source references, permissions, and audit logs keep important work controlled and traceable. Siesta AI is ISO/IEC 27001 certified and does not train foundational models on customer data.

The platform connects with tools such as SharePoint, OneDrive, Google Drive, Confluence, Slack, Microsoft Teams, Jira, HubSpot, Salesforce, Gmail, Outlook, Zendesk, BigQuery, Snowflake, and Power BI. Its modular architecture supports integration with existing company systems.

Users can work through the web workspace, browser extension, native desktop application, and mobile apps for iOS and Android. Company-level pricing supports broad adoption without per-seat fees.