Jedify raised $24M for integrating AI agents with corporate context

Jedify 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 created a platform that helps organizations integrate AI agents with complete context about their own business — corporate data, knowledge, and processes.

The Problem with Modern AI Agents

Modern AI agents and LLM models are powerful automation tools, but they have a serious limitation: they often act blindly, without understanding your company's specifics. When you give an agent a task, it doesn't know the peculiarities of your business processes, data structure, customer interaction history, corporate policies, or constraints. This often leads to errors: wrong decisions, inaccurate answers, potential privacy violations. For example, an agent might give a customer incorrect information about a price or 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 inventory, or any other data needed to complete the task. Jedify securely delivers the necessary data to the agent from corporate systems while respecting each user's access rights and the company's confidentiality 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 demonstrates growing venture investor interest in enterprise AI platforms and tools. Particularly notable is Snowflake Ventures' participation as a strategic investor — a signal that major cloud platforms see enormous potential in solutions for contextualizing AI agents. Snowflake is one of the leaders in the cloud data warehouse market, and companies worldwide use Snowflake to store and analyze corporate information. The round was led by Norwest Venture Partners, one of the leading venture 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

Contextualizing AI agents is rapidly becoming a mandatory requirement for successful AI implementation in the enterprise environment. Solutions like Jedify close a critical gap between the power of modern AI models and the requirements of real business: accuracy of decisions, data security, and knowledge of corporate context. For corporations, this opens up the possibility of moving from experimenting with ChatGPT and other models to real, production-ready systems that solve concrete business tasks. For example: automating customer interactions in CRM, processing orders, analyzing data, even creating analytical reports. For Jedify and similar platforms, this represents a huge market, because practically every company has management systems and data that AI needs to work effectively.