SplashBI adds BYOM, predictive intelligence and open data architecture to Tahoe 6.2

SplashBI has released Tahoe 6.2, expanding its enterprise AI platform with support for customer-hosted models, cloud data warehouses, predictive analytics and stronger governance controls. The update is aimed at organizations that want to adopt AI without giving up security, compliance or control over their data stack.

Why it matters: - Tahoe 6.2 is designed to give enterprises more control over AI, data platforms and analytics workflows. - The release targets organizations that want to use generative and predictive AI without moving sensitive data outside existing security and governance boundaries. - SplashBI is positioning the update as a way to modernize analytics while preserving trusted business definitions, lineage and compliance.

What happened: - SplashBI announced Tahoe 6.2, the latest version of its AI-powered enterprise intelligence platform. - The release adds new capabilities in AI governance, predictive analytics, data architecture and enterprise data platform support. - The update is built around four main areas: Bring Your Own Model, Bring Your Own Data Warehouse, Medallion Architecture and predictive intelligence. - SplashBI also added Model Context Protocol support, AI benchmarking, data alerts in reports and expanded FP&A, supply chain and manufacturing analytics.

The details: - Tahoe 6.2 supports Bring Your Own Model and Bring Your Own Cloud, letting organizations connect SplashAI to large language models in customer-hosted or customer-cloud environments. - The platform is certified for popular models and is designed to keep AI execution inside an organization’s preferred cloud environment. - SplashBI says the approach lets enterprises keep sensitive data in-house, maintain governance and compliance requirements, and extend AI capabilities without exposing data outside organizational controls. - Tahoe 6.2 also supports Bring Your Own Data Warehouse and custom domain AI, so organizations can run conversational analytics against their own cloud data warehouses and existing data models. - Medallion Architecture support is now available across SplashBI’s Workforce and Financial Analytics products. - The architecture organizes pipelines into Bronze, Silver and Gold layers to improve data lineage, governance, data quality, AI accuracy and trust in analytics. - SplashML is a new predictive intelligence capability built to generate forecasts, identify trends earlier and support proactive decision-making. - SplashML can be applied to both SplashBI and customer-defined datasets. - SplashAI Benchmarks are designed to validate AI responses, monitor model accuracy over time and help teams establish measurable trust in AI-generated insights. - The new Data Alerts in Reports feature lets users set automated notifications when business conditions or thresholds change. - Tahoe 6.2 includes continued expansion of FP&A, Supply Chain and Manufacturing Analytics. - SplashBI says AI in Tahoe 6.2 uses its existing security framework, including RBAC and row-level security, without requiring a separate AI security model.

Between the lines: - The release shows SplashBI leaning into a “governed AI” pitch at a time when enterprises are wary of black-box tools and data leakage. - By supporting customer clouds, customer data warehouses and outside models, SplashBI is trying to fit into existing enterprise stacks instead of forcing a platform rewrite. - The benchmarking and lineage features suggest the company is trying to make AI outputs auditable enough for business and board-level use. - SplashBI’s message is that the next step for enterprise intelligence is not just better answers, but defensible answers tied to approved data and rules.

What’s next: - SplashBI said the new capabilities will span its People Analytics, Financial Analytics, Supply Chain Analytics and enterprise operational analytics portfolio. - The company said Tahoe 6.2 will continue to support AI adoption with governance, confidence and control built into the workflow. - SplashBI will likely use the release to deepen adoption across customers in manufacturing, retail, healthcare, education, financial services and the public sector.

The bottom line: - Tahoe 6.2 is SplashBI’s bid to make enterprise AI more flexible without making it less controlled.