Interloom Raises $16.5 Million to Power Next-Generation AI Agents
AI startup Interloom has secured $16.5 million in new venture funding as it works to solve one of the biggest challenges in artificial intelligence—capturing human expertise that is never written down.
Quick Insight: Interloom is building technology that helps AI agents learn from real-world human decisions, not just manuals or structured data.
What Interloom Does
Interloom focuses on capturing what experts know but rarely document—often called “tacit knowledge.” This includes experience-based decisions, problem-solving patterns, and workflow shortcuts used by skilled employees in real business environments.
The Problem with AI Today
Most AI systems rely on structured data and written instructions. However, studies show that a large portion of workplace decisions—up to 70%—are never formally documented. This creates a major gap that limits how effective AI agents can be in real-world operations.
How Interloom Solves It
The company builds what it calls a “context graph”—a system that analyzes emails, support tickets, call logs, and workflows to understand how problems are actually solved. This allows AI agents to learn from real actions instead of theoretical instructions.
Funding and Investors
The $16.5 million funding round was led by DN Capital, with participation from Bek Ventures and Air Street Capital. The investment reflects growing confidence in AI tools that can integrate human expertise into automation.
Real-World Applications
Interloom’s technology is already being used by major enterprises, where it analyzes millions of operational records. Companies can use the system to improve customer support, automate workflows, and train new employees using real historical data.
Why This Matters
As experienced workers leave the workforce, companies risk losing valuable knowledge. Interloom’s solution creates a “corporate memory” that ensures expertise remains accessible to both humans and AI systems, improving efficiency and decision-making.
Final Thoughts
Interloom is positioning itself at the center of the next wave of AI innovation—where machines don’t just follow instructions but learn from human experience. If successful, this approach could transform how businesses automate complex tasks and preserve institutional knowledge.
Tip: The future of AI isn’t just about data—it’s about experience. Systems that can learn from human decision-making will have a major advantage in solving complex real-world problems.
