Sema4.ai releases advanced platform upgrade, delivering smarter agents, deeper Business Context, and simplified deployment. Enterprise-ready architecture enables teams to build, connect, and govern AI agents faster, with deeper operational understanding across business systems. Reduces deployment friction to near zero, while allowing distributed teams to collaborate in the same environment. SAN FRANCISCO, CA, UNITED STATES - WEBWIRE - Tuesday, June 2, 2026 Sema4.ai, the enterprise AI agent company, today announced its most comprehensive platform update yet, delivering major advances across every layer of the stack: how AI agents are built, how they capture and understand business context, and how easy they are to deploy in the enterprise. The release addresses the root causes of stalled enterprise AI programs, delivering meaningful improvements in how teams create, connect, and govern AI agents for complex back-office work. "Enterprise AI has been slowed by fragmented systems, disconnected data, and tools built primarily for developers instead of the people doing the work today," said Paul Codding, co-founder and SVP of Product and Customer Experience at Sema4.ai. "This release makes enterprise AI agents dramatically easier to build and deploy while giving them a much deeper understanding of how businesses actually operate. Agents should be able to reason and adapt to business concepts, not just columns and rows." Reimagined Agent Builder: from idea to running an agent in minutes Building enterprise AI agents has traditionally required deep technical expertise. Sema4's new Agent Builder eliminates that barrier. Business users can now speak, type, or upload standard operating procedures (SOPs) to generate fully functional agent runbooks through an AI-guided workflow. Key updates include: * Full agent lifecycle support: no local installs, no specialized tooling. It is accessible to the entire organization. * Voice, text, and document input: create agents from natural language or existing process documentation. * Pre-built skills and persistent agent memory: agents can retain corrections, learn from exceptions, surface workflow recommendations, and compound institutional knowledge over time. * MCP Access Gallery: connect agents to more than 40 enterprise systems - including Snowflake, Slack, Jira, GitHub, Google Workspace, and HubSpot - in minutes, not days. * Federated and verified queries: ask a single question across databases, spreadsheets, and enterprise systems with deterministic, audit-ready outputs. The Business Context Layer: Agents that understand how your business works The new Business Context Layer enables AI agents to understand how enterprise data is connected across systems, databases, and operational workflows. It introduces business ontologies that map relationships among customers, invoices, purchase orders, shipments, and vendors, allowing agents to reason about business concepts instead of database tables and columns. This eliminates data silos that prevent cross-system reasoning, so agents can answer questions and execute workflows that span your entire enterprise data landscape - all without custom integration code or manual data joining. Additional semantic layer enhancements improve performance across complex multi-source joins while enabling business users to browse, connect, and query enterprise data without requiring SQL or Python expertise. Enterprise-ready architecture: built for scale, compliance, and trust The new architecture simplifies and accelerates deployments, expanding availability across AWS, GCP, Azure, and Snowflake. New platform insight capabilities provide analytics and audit-ready execution logging. "This offering reflects our commitment to making enterprise AI agents more accessible to the business users who understand the work, more connected to the systems where data lives, and more trustworthy for enterprise operations," continued Codding. "Every improvement compounds: agents that are easier to build get deployed faster, agents with deeper business context deliver more accurate outcomes, and agents running on a simpler architecture reach production sooner." Organizations interested in seeing how Sema4.ai enables business users to build, govern, and scale enterprise AI agents across finance and operations can request a demo at Sema4.ai. About Sema4.ai Sema4.ai provides a comprehensive enterprise AI agent platform that enables organizations to build, run, and manage AI agents at scale. The platform empowers business users to create intelligent agents using natural language, connect agents to enterprise applications and data through pre-built actions and universal connectivity, and manage the full agent lifecycle with enterprise-grade security and governance. Sema4.ai is trusted by leading enterprises to transform business operations through autonomous, intelligent agents that work continuously with transparency, auditability, and control. WebWireID355653 * Contact Information - Eric Gonzalez - VSC for Sema4.ai - VSC PR - Contact via E-mail This news content may be integrated into any legitimate news gathering and publishing effort. Linking is permitted. Distribute your news. * Every day, hundreds of individuals and companies choose WebWire to distribute their news. * WebWire places your news within numerous highly trafficked news search engines generating leads and publicity. * Submit Your Release Now!

Koch and Sema4.ai collaborate for AI Agent solutions. Koch has announced collaboration with Sema4.ai, a provider of enterprise AI Agent solutions, to streamline operations, enhance productivity, and deliver mutual benefit across both organisations. Sema4.ai's enterprise AI agents are designed to automate complex tasks and integrate with existing business processes, such as across Koch's refining, renewable energy, chemicals, and polymer solutions. These agents are capable of understanding business context, reasoning, and collaborating with human teams to execute high-value work with accuracy and efficiency. "By integrating Sema4.ai's AI agents into our operations, we are setting a new standard for productivity and operational excellence," said Matt Hoag, Chief Technology Officer at Koch. "This collaboration enhances our internal workflows and positions us to offer solutions to other enterprises seeking to leverage AI for transformative results." "At Koch Engineered Solutions (KES), a key objective in our IT vision is 'simplification.' Part of our modernisation and maturity journey as a capability supporting our KES businesses, we are developing a 'Data First Architecture' with our partners at Sema4.ai and Snowflake. This will enable KES to leverage our data where it already lives, eliminating the risk of data egress. The seamless integration of Sema4.ai Team Edition into the Snowflake ecosystem will make deploying AI agents that execute real work easy and secure," added Brad Hoefler, Chief Technology Officer at KES. Sema4.ai's AI agents are enabling Koch companies to automate manual reconciliation processes, which have traditionally been time-consuming, error-prone, and resource-intensive. Sema4.ai's AI agents address these challenges by automating the workflow, reducing costs, and strengthening controls. The agents parse and deeply understand invoices, processing hundreds of pages line by line and integrating with existing enterprise financial data. Tailored to solve practical enterprise challenges, this collaboration enables faster, iterative AI deployments. Enterprise partners gain access to proven AI solutions that reduce risk and speed up time-to-market for AI-driven business improvements. Together, Koch and Sema4.ai are shaping a future of smarter, more efficient AI-powered enterprises grounded in long-term innovation and market credibility. In this episode of the Hydrocarbon Engineering Podcast, David Wilson, CEO, Energy Exemplar, joins Hydrocarbonengineering to consider the role that oil and gas is currently playing in the booming data centre industry, and what the future holds. Tune in to the Hydrocarbon Engineering Podcast on your favourite podcast app today.