New York-based startup Jedify is bridging the gap between AI and enterprise by creating a ‘context graph’ that allows AI agents to understand specific business practices. This means companies can rely on their AI tools for more than just data entry.

Their platform draws from various sources, including databases, SaaS apps, documentation and even Slack channels, to build an understanding of how the company operates. This approach aims to help AI agents focus on relevant tasks rather than scouring through large volumes of data.

Co-founder Assaf Henkin cites Kiteworks as a case study where Jedify’s technology is used to arm sales teams with real-time information during customer interactions. This not only enhances efficiency but also ensures that the right information reaches the right people at the right time, such as revenue figures being restricted to specific users.

By addressing the issue of context in AI, Jedify could significantly impact how businesses use technology. However, it’s clear that this isn’t just about convenience; it’s about ensuring data security and compliance within enterprises.

The startup has already secured substantial funding from notable investors like Snowflake, which is integrating their tech into its own products. This move suggests a broader trend towards contextual AI in the enterprise space, with potential long-term benefits for both companies and their customers.