20VC: Enterprises Will Not Adopt AI without Forward-Deployed Engineers | Who Wins the Data Labelling Race: How Does it Shake Out? | How Synthetic Data Threatens the Future of Human-Generated Data with Matt Fitzpatrick, CEO of Invisible Technologies

What It Covers

Matt Fitzpatrick, CEO of Invisible Technologies, explains why enterprise AI adoption lags despite exponential model improvements, the critical role of forward-deployed engineers, and how human data labeling remains essential over synthetic alternatives.

Key Questions Answered

• •Enterprise AI Gap: MIT reports only 5% of GenAI deployments work in enterprises, with Gartner predicting 40% of projects will be canceled by 2027. External builds prove 2x more effective than internal teams due to talent constraints and lack of disciplined ROI frameworks.
• •Forward-Deployed Engineers: Enterprise AI adoption requires forward-deployed engineering teams for customization and workflow integration. Invisible operates 450 people across eight offices, spending three months on customer implementations rather than charging for out-of-box software that fails without deep integration work.
• •Proof Before Payment: Invisible runs eight-week solution sprints at no cost to prove technology works before customers pay. This approach reduces sales costs while building trust, contrasting with traditional Accenture-style multi-year implementations that often fail to deliver working systems.
• •Human Data Superiority: Synthetic data works only for base truth tasks like math. Multi-step reasoning across 45 languages, multimodal contexts, and specialized domains requires PhD-level human feedback. Invisible manages 1.3 million experts annually, sourcing niche specialists within 24 hours for validation work.
• •Revenue Concentration Risk: AI training companies face customer concentration with two players comprising over 50% of revenues. Invisible diversifies through enterprise expansion, securing 12 enterprise deals in 45 days while maintaining AI training business that was majority of 2024 revenue.