GoodData, an AI-native decision intelligence platform, reported strong Q1 2026 results driven by its MCP Server launch and new enterprise contracts. The company secured a three-year contract with a major asset manager and a renewal with a global payments customer. The quarter featured the launch of GoodData's MCP Server, enabling AI agents to build and operate analytics within a governed framework, delivering 10-50 times faster time to value compared to manual workflows. GoodData also introduced AI-Driven BI Modernisation and a Context Management layer for production AI. The company expanded its enterprise sales presence into Germany and was recognised in Gartner's Market Guide for Agentic Analytics. GoodData serves over 123,000 companies and 3.9 million users globally.

GoodData kicks off 2026 with MCP Server launch and major enterprise wins. April 15, 2026 8:06 AM Gift Article Financial services wins and three platform launches signal accelerating enterprise demand for agentic analytics. SAN FRANCISCO, CA / ACCESS Newswire / April 15, 2026 / GoodData, a leading AI-native decision intelligence platform, today announced strong Q1 2026 results driven by the launch of its MCP Server for agentic analytics, significant new contracts in global financial services, and continued expansion into new markets. The quarter built on a record-breaking 2025, reinforcing GoodData's position as the platform enterprises trust to move AI from pilot to production. Continued growth across enterprise and financial services GoodData's commercial momentum remained strong throughout Q1, with notable wins across the enterprise and financial sectors. The company secured a new three-year contract with one of the world's largest asset managers, and a key long-term customer in global payments renewed for three years while expanding its enterprise license. "Our Q1 results demonstrate that the market is moving past the AI hype phase and into governed, agentic reality," said Roman Stanek, CEO and Founder of GoodData. "By giving AI agents the tools to not just report on data, but to build and iterate on analytics themselves, we are helping the world's largest financial institutions achieve a level of velocity that was previously impossible." Unable to load content. Please check your configuration and try again. Building on previous expansion in the US, GoodData further extended its enterprise sales presence into Germany, deepening its footprint across key international markets. The company was also recognised in the Gartner Market Guide for Agentic Analytics category, a resource for data and analytics leaders evaluating how to scale agentic AI responsibly Serving up the future of Agentic BI Q1 was headlined by the launch of GoodData's MCP Server, enabling AI agents to build, update, and operate analytics end-to-end within a governed framework. Covering semantic models, metrics, and dashboards, the MCP Server delivers 10-50x faster time to value compared to manual BI workflows, giving enterprises a practical path to agentic analytics at scale. The quarter also saw the introduction of AI-Driven BI Modernization, a new solution that uses AI to extract and refactor business logic from legacy BI systems into a governed semantic layer. The result is 2-5x faster iteration cycles and up to 10x faster dashboard loading, without taking existing infrastructure offline. Rounding out the quarter's announcements, GoodData launched a dedicated Context Management layer, a governed contextual foundation for production AI that addresses the trust gap through enforced semantics, grounded knowledge, and full observability. Together, these launches reflect GoodData's focus on closing the distance between AI ambition and operational reality. About GoodData GoodData is an AI-native decision intelligence platform built to help enterprises turn trusted data into confident action. Designed for governed, scalable analytics, GoodData enables organizations to operationalize insights, automate decisions, and embed intelligence directly into products and business workflows. With a composable architecture and a governed semantic layer at its core, GoodData ensures AI-powered analytics are transparent, auditable, and aligned with how enterprises define and trust their data. Organizations use GoodData to move from insight to impact faster, while maintaining enterprise-grade security, governance, and performance. GoodData serves over 123,000 of the world's leading companies and 3.9 million users, helping enterprises close the gap between data and decision-making. GoodData contact (C) 2026 GoodData Corporation. All rights reserved. GoodData is a registered trademark of GoodData Corporation in the United States and other jurisdictions. Other names and brands may be claimed as the property of others.

Tokenomics: why IT leaders need to pay attention to AI tokens. Last updated: April 5, 2026 12:10 pm Published April 5, 2026 "Not solely have you learnt you want the quick throughput, however you want the quick response time, as a result of finally that end-to-end operation goes to outline how lengthy it takes you to get again your full reply," he stated. How tokens drive enterprise selections. Tokens are used because the foreign money for public AI merchandise, reminiscent of textual content to picture or picture to video conversions. Inside an enterprise, this example is completely different. Token consumption is usually expressed in value per million tokens. In enterprise settings, this usually interprets to 2 approaches: metered utilization fashions, the place departments or purposes devour tokens in opposition to an outlined price range; and enterprise or web site licenses, the place organizations negotiate volume-based pricing to handle prices at scale. Some enterprises might allocate token budgets to departments, setting mushy or laborious limits to manage utilization. Others might depend on centralized licensing to simplify governance and price administration. Both manner, tokenomics turns into a core a part of monetary planning for AI initiatives. "Promoting" tokens to your staff could seem unusual, however Salvadore stated staff is not going to be given a clean verify to make use of enterprise AI purposes or public AI companies. "[IT] has to consider how can we do that in a manner that's going to get our group the capabilities that they should actually make a great use of genuine AI, whereas on the identical time balancing the flexibility for particular person customers to have the ability to get what they want shortly sufficient, whereas additionally balancing value," he stated. Just about all the public API companies suppliers provide tiered utilization. For instance, ChatGPT has 4 pricing plans, from free to Professional, which runs for $200 per 30 days however provides significantly extra companies than the free model. Via tokenomics, enterprises should purchase Professional-level companies however restrict their use or availability. Your email address will not be published. Required fields are marked * Your trusted source for accurate and timely updates! Its commitment to accuracy, impartiality, and delivering breaking news as it happens has earned Datacenternews the trust of a vast audience. Stay ahead with real-time updates on the latest events, trends. - Advertisement - Cloud-based knowledge and analytics platform, GoodData, has launched FlexQuery, a foundational part of its enterprise... March 25, 2024 Accenture (NYSE: ACN) made a strategic funding in Opaque, a San Francisco, CA-based supplier of... March 13, 2025 Commvault, a supplier of enterprise-scale knowledge resilience options, has unveiled Commvault Geo Protect. This answer is... February 10, 2026 The most recent version of JumpCloud's SME IT Tendencies Report, "Detours Ahead: How IT Navigates an... July 17, 2024 Telecommunications firm Spark New Zealand has introduced plans to develop an information heart in Auckland's... February 29, 2024