en.Wedoany.com Reported - Enterprise AI context startup Jedify Inc. announced the completion of a $24 million Series A funding round, which it plans to use to build its "context graph" product, providing AI agents with the business knowledge needed for production environments.
Jedify sells a suite of software that automatically assembles customer-specific "context graphs" on top of a company's existing data and knowledge systems. The platform connects operational data from data warehouses, customer relationship management, and financial systems with unstructured materials such as documents, runbooks, Slack threads, and meeting notes. In this way, Jedify builds a semantic model that updates in real time how the enterprise defines metrics, how records relate to each other, and permission control information.
A gap has persisted in enterprise AI deployments: large language models can generate fluent responses but cannot reliably determine which revenue definition applies, which customer record is current, or which operational assumptions matter, unless provided with context at runtime. The company believes that a lack of context causes agents to hallucinate or consume tokens processing irrelevant information.
Co-founder and CEO Assaf Henkin stated that for agent workflows to truly function well at enterprise scale, a deep understanding of business operations is required. Enterprise data is scattered across systems, definitions, permissions, and workflows. Jedify transforms this fragmented knowledge into a real-time context graph, enabling agents to generate accurate, cost-effective, and directly actionable business answers.
Jedify positions itself as a model-agnostic layer, independent of model providers. The company argues that enterprises face misaligned incentives when handing data to vendors who also sell tokens, a reference to OpenAI Group PBC, Anthropic PBC, and Google LLC offering forward-deployed engineers and professional services to customers. Jedify states that an independent context layer avoids this conflict as well as single-vendor lock-in, which conflicts with the governance requirements of most large organizations.
The Semantic Fusion technology underpinning the platform is patent-pending. Each interaction makes the customer's context graph more accurate, translating into a proprietary asset that compounds over time. Jedify is also partnering with Snowflake Inc. to integrate with its Cortex AI tools, including Semantic Views and Cortex Analyst.
Funding from this round will be used for product development, market expansion, and hiring. The Series A round was led by Norwest, with a strategic investment from Snowflake Ventures, and participation from existing investors S Capital VC and Cerca Partners, as well as new investor Oceans Ventures. Norwest partner Assaf Harel will join Jedify's board. Harel noted that Jedify solves a fundamental problem by automatically fusing structured and unstructured data into a context graph, and its compounding value and model-agnostic approach provide enterprises with flexibility rather than lock-in.
Jedify completed an $8.5 million seed round led by S Capital VC in September 2023, bringing total funding to over $33 million.
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