ThoughtSpot has announced integrations of its Spotter analytics platform with Snowflake Cortex AI and Snowflake Semantic Views at Snowflake Summit 26. The integration allows enterprises to run high-reasoning AI agents directly within Snowflake's security boundary whilst maintaining a governed source of truth. Key features include direct integration between ThoughtSpot's Spotter engine and Cortex Analyst, upcoming native visualisation support for Cortex AI insights, and a "Bring Your Own LLM" approach enabling customers to use Snowflake LLMs whilst keeping data within Snowflake's security perimeter. The platform also offers bi-directional semantic management through Snowflake CoCo integration and supports a unified team of agents including Spotter, SpotterModel, SpotterViz and SpotterCode. The ThoughtSpot Agentic Analytics Platform is now available on the Snowflake Marketplace.

ThoughtSpot expands governed enterprise AI with Snowflake Cortex AI and Semantic Views. New integrations with Snowflake Semantic Views and Cortex AI allows teams to define, manage, and scale governed business logic across human and agent workflows. June 02, 2026 15:00 ET | Source: ThoughtSpot SAN FRANCISCO, June 02, 2026 (GLOBE NEWSWIRE) - ThoughtSpot, the Agentic Analytics Platform company, today announced at Snowflake's annual user conference, Snowflake Summit 26, integrations of Spotter and its suite of agents with Snowflake Cortex AI and Snowflake Semantic Views. This technical optimization provides Snowflake customers with a unified analytics experience, allowing high-reasoning agents to operate directly within the Snowflake security boundary while maintaining a single, governed source of truth. As enterprises increasingly adopt sophisticated agentic workflows, ensuring these are powered by high-reasoning, consistent intelligence reflective of strong semantic boundaries is critical. The deepening of ThoughtSpot's integration with Snowflake Cortex AI means businesses can be assured that the intelligence powering business decisions is governed, secured and scalable. By combining ThoughtSpot's intuitive interface with Snowflake-hosted LLMs, organizations can finally move past data silos to a model where trusted insights are generated directly where the data lives. Key capabilities of the expanded integration include: * Spotter + Cortex Integration: ThoughtSpot's core intelligence engine, Spotter, will now integrate directly with Cortex Analyst and Cortex Agents. Customers can now access, action and workflow Cortex insights directly within Spotter - ensuring teams have access to a consistent and holistic view of all company information, no matter where the data sits. * Cortex-Powered Visualizations: While users can currently leverage Cortex AI for deep, text-based insights, ThoughtSpot will continue bringing increased business intelligence to Cortex AI with the launch of native visualization support. This upcoming feature will allow answers generated by Cortex to be instantly transformed into fully interactive charts and Liveboards, closing the loop between raw AI reasoning and visual storytelling. * Bring Your Own Snowflake LLM: This "Bring Your Own LLM" approach gives customers ultimate control over their AI architecture. It allows businesses to utilize ThoughtSpot within the specific Snowflake LLMs already vetted and optimized for their unique business vocabulary, while simultaneously supporting a strong data sovereignty footprint by ensuring sensitive data never leaves the Snowflake security boundary. Meaning all data remains under the direct stewardship of the enterprise data team. Governed Semantic Flexibility: Native Support & Bi-Directional Management ThoughtSpot is also helping customers remove the friction of manual data modeling by providing native, deep-rooted support for Snowflake Semantic Views. This integration ensures the business logic, metrics, and relationships defined within Snowflake flow into ThoughtSpot seamlessly. * A critical element of semantic flexibility, ThoughtSpot is now providing customers with bi-directional semantic management through an integration with Snowflake CoCo. This allows customers to not only import semantics from Snowflake into ThoughtSpot, but also export ThoughtSpot Models enriched with advanced AI context and memory back into Snowflake, ensuring a single, governed source of truth for both human users and agents. All Through a Custom Built, Unified Team of Agents Grounded in Spotter Semantics and natively integrated with Snowflake Semantic Views, customers can now a enjoy a unified agentic experience across ThoughtSpot's suite of intelligent agents - Spotter, SpotterModel, SpotterViz, and SpotterCode - without needing to leave the Snowflake ecosystem. * Spotter: ThoughtSpot's enterprise analytics agent, enabling users to ask questions, investigate drivers, and act on governed enterprise data across structured and unstructured sources. * SpotterModel: Built for the analytics engineers or data analysts managing the semantic layer, SpotterModel automates the foundational work of data modelling, allowing data teams to simply use natural language prompts to build and edit governed, reusable semantic models. * SpotterViz: SpotterViz brings autonomy to the "last mile" of data storytelling by automating the time-consuming assembly of Liveboards - handling layout, organization, styling, and publishing - through natural language prompts. * SpotterCode: The developer agent that assists developers in embedding ThoughtSpot's intelligence into custom applications with AI-assisted code generation in popular IDEs, like Cursor, Claude Code, and VS Code. To ensure the continued effectiveness of a company's "last mile" of data interaction, ThoughtSpot also natively supports Snowflake Interactive Analytics. This means customers can continue optimizing the costs of serving high-concurrency, real-time analytics-including modern streaming workloads-at enterprise scale. ThoughtSpot provides the intuitive, interactive UI and visualization layer on your Snowflake data that makes low-latency analytics accessible to every user. "Businesses have moved beyond wanting top line insights driven by general AI agents. The winners in the enterprise AI era will be the organizations whose agentic systems are grounded in governed business context across structured and unstructured data," said Francois Lopitaux, SVP of Product Management at ThoughtSpot. "By further integrating Spotter with Snowflake Cortex AI and allowing customers to bring their own fine-tuned Snowflake LLMs, we are giving enterprises the accuracy, control, and data sovereignty they need to operationalize trusted AI at scale." "The combination of Snowflake Semantic Views and ThoughtSpot's Spotter Semantics represents a massive leap forward for data governance and analytics. Organizations can now define their semantic context for AI and BI once in Snowflake and use ThoughtSpot as a trusted intelligent context layer for AI and agents to scale those definitions across the enterprise. This helps ensure that agentic workflows and AI-generated insights are based on a single, governed source of truth," said Josh Klahr, Director of Product Management, Analytics at Snowflake. Availability The ThoughtSpot Agentic Analytics Platform and its team of agents are available today on the Snowflake Marketplace. Customers can deploy these tools using existing Snowflake credits to accelerate their AI-driven digital transformation. To see these integrations in action, visit ThoughtSpot at Snowflake Summit booth #1501 or visit thoughtspot.com. About ThoughtSpot ThoughtSpot is the Agentic Analytics Platform company that empowers every enterprise to transform insights into action. Our mission is to create a more fact-driven world by delivering a platform where anyone can effortlessly explore any data, ask any question, and uncover actionable insights faster - leading to growth, better business outcomes, and efficiency in their organizations. The platform's unified capabilities are amplified by a comprehensive suite of specialized Spotter agents that automate every stage of the analytics workflow, empowering analysts, data engineers, developers and business users to deliver real-time actionable insights that drive growth. By combining agentic AI with ThoughtSpot's intuitive natural language search, businesses empower every user to confidently discover proactive insights from their data, creating real-time decisioning with impact. Accessible via the web and mobile app, ThoughtSpot ensures intelligent decision-making happens seamlessly, wherever and whenever needed. For organizations looking to drive value, ThoughtSpot Embedded provides a low-code solution to integrate AI-powered analytics directly into products and services that make every application an intelligent experience, driving data monetization and boosting user engagement for customers. Industry leaders like Lyft, Unilever, Roche, Schneider Electric, Huel and HubSpot rely on ThoughtSpot to transform how their employees and customers take advantage of data to create better business outcomes. Try ThoughtSpot today and experience the new era of analytics.

ThoughtSpot launches Spotter for Industries, purpose-built agents transform complex industry context into trusted actionable insights. Industry specific intelligence bridges the "context gap" with deterministic reasoning, industry Connectors, and enterprise-grade trust. ThoughtSpot, the Agentic Analytics Platform company, announced the launch of Spotter for Industries, delivering domain-specific intelligence to organizations operating in highly specialized sectors. As companies discover the limits of generic AI, they are demanding solutions which not only better reflect the ever evolving realities of their business, but are also literate in specific data, regulations, workflows, and terminology which are critical to the sector. Spotter for Industries extends ThoughtSpot's agentic analyst, Spotter, with deep industry context allowing it to understand the language of each specific industry. This ensures every insight is grounded in a trusted analytics foundation that delivers deterministic (consistent and repeatable) results and turn complex business data into industry-specific insights, strategic recommendations, and immediate action. Bridging the "Context Gap": Why General AI Is Not Enough It's clear businesses are continuing to invest in AI projects. While almost three quarters (71%) of companies plan to increase AI budgets this year and 74% expect to reach Generative AI maturity within three years, many still struggle to turn AI experiments into reliable, high-impact decisions. However as the race toward operational AI use cases grows, so too does the context gap creeping into many AI analytic architectures. The right decisions are driven by the right context, context derived from specific industry domain understanding and the unique business data critical to every company. Utilizing incomplete data which fails to account for the unique issues, trends and regulations impacting the specific industry a business operates can not only lead to poor insights. It can result in significant miscalculations when making major business decisions. "In many ways, the first wave of Generative and Analytic AI projects focused on promoting accessibility through the installation of more general purpose use cases. However as these rollouts have progressed, businesses have started to realize the immense value which can stem from agents which are truly immersed in both a business and industry," said Francois Lopitaux, SVP of Product Management at ThoughtSpot. "With Spotter for Industries, we've purposefully built an agent that understands the specific logic, regulatory hurdles, and unique KPIs of highly complex sectors. This tailoring can not only help organizations in these sectors see more immediate value, but can protect against untrustworthy results." Spotter, the most trusted analytics agent for the enterprise, is built on top of ThoughtSpot's leading semantic layer, Spotter Semantics. The contextualized semantic model provides an AI-native foundation that transforms raw, fragmented data into trusted, relevant insights. Spotter Connectors also ensure that the systems of record that define an industry are integrated, meaning data spread across platforms such as Zendesk, Google Workspace and Slack can be united to deliver holistic, contextually accurate insights. Mar 19, 2026 Prev Next 1 of 43,000 Additionally by using ThoughtSpot's patented advanced search tokens which map to the semantic layer, Spotter ensures that every answer is traceable, verifiable, and contextually specific. Something critical to both complete and optimize the high stake challenges faced in these sectors; whether that is optimizing the agility of a retail supply chain, ensuring the best outcomes for specific patients, or identifying advanced money laundering schemes before they escalate. Specialty designed agents for the real world Spotter for Industries can serve the unique requirements of businesses across sectors: * Spotter for Healthcare & Life Sciences: Healthcare providers and life sciences organizations struggle with information fragmented across electronic medical records, data warehouses, and clinician notes. Spotter is the AI agentic intelligence layer, finding new insights by connecting unstructured data (e.g. research notes in Slack or documents) with clinical, claims, and financial data sources. Spotter empowers users with AI intelligence to impact patient outcomes, market access, compliance, and time to market for life-saving treatments. * Spotter for Retail & CPG: Modern retailers face a widening intelligence gap as customer, brand sales, product inventory, and supply chain intelligence remains trapped in disconnected silos, documents, and files. Spotter for Retail & CPG integrates structured and unstructured data into an AI agentic intelligence layer, empowering retail leaders to spot critical trends before they impact the bottom line. Spotter Connectors can link Shopify, Oracle Retail/POS, Slack, and documents, meaning teams can improve demand forecasting, optimize inventories, and scale dynamic pricing in real-time. * Spotter for Financial Services: Spotter empowers users with AI to help proactively detect fraud patterns, orchestrate complex regulatory reporting, and anticipate customer needs. The built-in AI reasoning engine turns static documentation (e.g. in Slack) and data from enterprise systems (e.g. Salesforce) and data warehouses (e.g. Snowflake) into decisive, pre-emptive action. With Spotter, users can surface hidden money laundering or compliance red flags before they escalate, and accelerate loan approvals, hyper-personalize next-best-offers, and detect financial fraud. * Spotter for Technology: Product and engineering leaders are under constant pressure to ship faster, but they are often flying blind due to data trapped in silos like Jira and GitHub. Spotter for Software transforms this fragmented data into an autonomous intelligence layer that enables users to actively manage the development lifecycle. Rather than waiting for a manual report, Spotter flags hidden friction points and provides strategic recommendations. With Spotter Connectors integrating data from across Jira, Slack, and Salesforce, product teams can instantly validate features and optimize engineering throughput. * Spotter for Supply Chain: Manufacturing and supply chain leaders are under immense pressure due to tariffs, geopolitical events, and supply chain disruptions. Spotter for Supply Chain acts as your AI Supply Chain Analyst & Strategist, moving beyond static visibility to actively monitor and mitigate risk across the entire value chain. Rather than just connecting systems or visualizing data, Spotter helps you proactively reason across inventory levels stored in SAP, global events within Resilinc, as well as the hidden insights trapped within technician's Slack notes and in static engineering specs. It doesn't just report a disruption - it helps you anticipate bottlenecks and orchestrate strategic pivots in real-time. * Spotter for Media & Telecommunications: In a market where consumers move at breakneck speed, being late doesn't just cost margin - it costs the entire relationship. Spotter for Media & Telecom acts as your AI intelligence partner, moving beyond simple dashboards to actively orchestrate your most critical data decisions. For Media companies, Spotter autonomously correlates streaming logs with audience sentiment to maximize content ROI on the fly. For Telecom, it patrols the intersection of network health and customer billing to preemptively resolve friction before a subscriber churns. By reasoning across both structured data and the vast world of hidden insights in customer notes and social signals, Spotter provides the decisive, AI guidance needed to protect market share and capture new growth. Trusted Insights for Every Industry Standard As organizations move from AI experimentation to full-scale production, security and data sovereignty remain the primary barriers to adoption. Spotter for Industries addresses these concerns head-on through a comprehensive enterprise-grate AI trust framework designed for the most highly regulated sectors. * Bring Your Own LLM (BYOLLM): Allows organizations to connect Spotter to their own private, proprietary models or preferred cloud providers, ensuring sensitive data remains within their controlled environment. * Zero Data Retention Policy: Eliminates the risk of data leakage or unauthorized model training by processing information in real-time without storing any customer data. * Traceable & Deterministic Insights: Ensures a governed environment where every AI-generated insight is fully traceable back to its original source, moving away from "black box" AI. * Global Compliance Standards: Built to meet the most stringent regulatory requirements, including HIPAA, GDPR, and various financial industry standards. Spotter for Industries is available now for the above sectors, as well as Insurance, Travel & Hospitality, Manufacturing, and other specialized industry verticals. [To share your insights with Aithority, please write to [email protected]]