Jedify Launches Autonomous AI Analysts for Data Teams
The platform automates recurring reporting tasks, allowing users to build data analysts using plain language commands.
Updated on Oct. 28, 2026 in Artificial Intelligence
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Jedify has launched Data Agents, a new product that enables users to build autonomous AI analysts using natural language instructions. The software is currently available to support automated workflows, such as the daily reporting tasks already implemented by early user RubyPlay Ltd.
Why it matters
The platform shifts the role of analytics from passive data visualization toward active task execution. By automating recurring dashboard requests, the tool aims to reduce the manual overhead human analysts spend on routine reporting inquiries.
Jedify raised $33 million in total capital, including a $24 million Series A round in June 2026. The platform currently integrates with external interfaces through the Model Context Protocol, allowing interoperability with Claude, ChatGPT, and Slack.
The players
Jedify
A startup developer of autonomous data analysis software that has raised $33 million in venture capital.
RubyPlay Ltd.
An early adopter organization currently utilizing Data Agents to automate daily data reporting tasks.
The details
Data Agents operates via a context graph that maps metric definitions to specific record-level permissions, ensuring that AI responses adhere to existing data governance. Users define tasks using plain language, which the system executes on a set schedule, upon specific request, or when pre-defined data conditions are met. This architecture allows the agents to query and process data sets directly while respecting individual user access restrictions.
Timeline
June 2026: Jedify secured a $24 million Series A funding round.
October 28, 2026: The Data Agents product officially launched.
The Tech Race
Jedify is adopting the Model Context Protocol as a core interoperability standard to connect its autonomous agents with major industry LLM interfaces. This approach signals a move toward standardized agent-to-application communication, placing the company in competition with other platforms automating enterprise business intelligence.
Data Agents is available for deployment now, with RubyPlay Ltd. already using the tool to manage recurring data reporting workflows. Organizations can integrate the agents into existing Slack, Claude, or ChatGPT environments to handle automated, condition-based analysis without manual dashboard input.
The takeaway
The transition from passive reporting to agentic action represents the current frontier for enterprise data stacks. Future tracking should focus on whether these agents can maintain long-term data accuracy during complex multi-step queries compared to traditional human-led reporting.
Further reading
For broader trends in machine-driven reasoning and autonomous task execution, see our Artificial Intelligence section.
Source note: This article includes information reported by SiliconANGLE.
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