Jedify raises $24M to connect AI agents with corporate context

Jedify has raised $24M in a new funding round led by Norwest. The round also included Snowflake Ventures as a strategic investor, S Capital VC, Cerca Partners and Oceans Ventures. The company has built a platform that helps organizations connect AI agents with full context about their own business: corporate data, knowledge and processes.

The problem with today's AI agents

Modern AI agents and LLMs are powerful automation tools, but they have a serious limitation: they often act blind, with no grasp of what makes your company specific. When you give an agent a task, it doesn't know the particulars of your business processes, your data structure, your history with customers, or your corporate policies and constraints. This often leads to errors: wrong decisions, inaccurate answers and potential privacy violations. For example, an agent may give a customer incorrect information about a price or a process simply because it doesn't know the company's internal data.

How Jedify solves the problem

Jedify works as an intelligent intermediary between the AI agent and corporate systems. When an agent receives a task, it can request context in real time: information about a specific customer, current projects, interaction history, warehouse stock, or any other data needed to complete the task. Jedify securely delivers the required data from corporate systems to the agent, while respecting each user's access rights and the company's privacy policy.

The platform integrates with major corporate systems and cloud platforms:

• CRM systems: Salesforce, HubSpot, Microsoft Dynamics
• ERP and management systems: SAP, Oracle, NetSuite
• Databases: SQL, NoSQL, cloud storage (Snowflake, BigQuery, Redshift)
• Documents and internal knowledge: wikis, Notion, Confluence, Microsoft SharePoint
• Cloud platforms: AWS, Google Cloud, Microsoft Azure
• Support for standard REST APIs and webhooks for integrations

Market interest

Jedify's round shows growing interest from venture investors in enterprise AI platforms and tools. The participation of Snowflake Ventures as a strategic investor is particularly telling: it signals that large cloud platforms see huge potential in solutions that supply context to AI agents. Snowflake is one of the leaders in cloud data warehousing, and companies worldwide use it to store and analyze corporate information.

The round was led by Norwest Venture Partners, one of the leading investment firms in technology and enterprise software. This suggests that professional investors see Jedify as a company capable of becoming the industry standard for integrating AI agents into corporate systems and processes.

What this means

Giving AI agents context is quickly becoming a requirement for successful AI deployment in the enterprise. Solutions like Jedify close a critical gap between the power of modern AI models and the demands of real business: accurate decisions, data security and knowledge of corporate context.

For large companies, this opens the way to move from experiments with ChatGPT and other models to real, production-ready systems that solve concrete business problems. For example: automating customer interactions in a CRM, order processing, data analysis, even producing analytical reports.

For Jedify and similar platforms, this represents a huge market, because almost every company has management systems and data that AI needs to work well.