Solid Data has secured $20 million in seed funding to tackle the critical issue of unreliable AI agents. The funding round, co-led by Team8 and SignalFire, will accelerate the deployment of the company's AI-ready semantic models. These models are designed to help AI systems verify, prepare, and understand business data, addressing a key limitation in current AI adoption.
AI agents offer significant potential for automating business workflows and decision-making, but their accuracy remains a concern. A primary challenge is that AI often fails to grasp the business context behind the data it processes. This is due to inconsistencies in how key metrics are defined across different teams and tools within organizations, leading to a lack of trust in AI-generated insights.
"AI isn't failing because it lacks intelligence," stated Solid co-founder and CEO Yoni Leitersdorf. "It's failing because it doesn't understand how businesses actually work."
Existing data infrastructure is not optimized for agentic AI systems, as it primarily focuses on storing and processing data without conveying its evolving meaning or semantics. "No matter how powerful the models are, AI can't deliver reliable results unless it understands the data it's using," Leitersdorf emphasized.
Solid's semantic models aim to create a single source of truth for business meaning, automating its maintenance and validation. This engineering-focused approach ensures definitions remain accurate as business data and operations evolve. The company reports that its models immediately boost AI response accuracy from an average of 20-30% to over 85%, while reducing manual semantic maintenance by 50-70%.
Furthermore, Solid significantly shortens AI deployment timelines, enabling new systems to become operational within six months, a reduction from the previous one to two years. "AI needs consistent business definitions to work, but historically those definitions have been manual, brittle and impossible to maintain at scale," noted SignalFire Principal Ryan Wexler. "What makes Solid different is that it automates the creation and ongoing maintenance of business meaning and treats it like a real engineering system."