Sema4.ai Releases Agent Platform 3.0 With Reusable Logic

Oct 30, 2026
Sema4.ai releases version 3.0 of its enterprise agent platform, adding reusable queries and logic that can reduce token use and processing time.

Sema4.ai announced version 3.0 of its Enterprise AI Agent Platform in a press release, adding shared workspaces and reusable logic for repeated agent tasks. The company says its Verified Queries use up to 80% fewer large language model tokens and return results up to four times faster than generating queries again for each run.

Verified Queries reuse approved data access patterns, while Verified Logic reuses approved calculations, checks, and transformations. Sema4.ai says Verified Logic can reduce token use by 50% and shorten processing time by 30% for repeated work. Enhanced DataFrames process structured data in memory without placing every row in a model's context window.

The release also lets teams share agents, skills, files, memories, and data within governed workspaces. It adds integrations with Claude Cowork, Microsoft Copilot, Microsoft Fabric, Microsoft 365, and Google Workspace, along with audit logs, agent timelines, search, and activity comparisons.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Guide
9 Voice to Text Apps

9 Voice to Text Apps

The best AI dictation apps for turning speech into clean text anywhere you type.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.