Invisible Technologies Raises $100 Million to Help Enterprises Actually Deploy AI in Production

The $100 Million Bet on Making AI Actually Work in Corporate America

Invisible Technologies' massive funding round signals a seismic shift from AI experimentation to production-ready enterprise infrastructure

Invisible Technologies announced today it had closed a $100 million growth funding round led by Vanara Capital, marking a pivotal moment in the enterprise AI infrastructure race. The investment, which brings the company's total capital raised to $144 million, represents far more than another Silicon Valley funding milestone—it signals the maturation of enterprise artificial intelligence from experimental pilot programs to mission-critical operational infrastructure.

The funding comes at a time when corporate America faces a stark reality: despite billions invested in AI initiatives, most enterprises struggle to move beyond proof-of-concept demonstrations. According to the company's leadership, 70% of enterprise software remains over 20 years old, creating a fundamental mismatch between cutting-edge AI capabilities and legacy operational systems.

When McKinsey's AI Chief Jumps Ship, the Market Takes Notice

The transformation of Invisible Technologies began in earnest when Matthew Fitzpatrick joined as CEO in January, bringing with him a decade of enterprise AI experience from McKinsey's QuantumBlack Labs, where he oversaw 1,000 engineers and product leaders. His arrival coincided with the company's explosive growth trajectory—revenue reached $134 million in 2024, more than doubling from the previous year and following a 24-fold increase between 2020 and 2023, earning recognition as the No. 2 Fastest Growing AI Company on the 2024 Inc. 5000 List.

Fitzpatrick's perspective on the enterprise AI landscape reveals the core challenge driving Invisible's market opportunity. The gap between AI promise and production reality has created what industry analysts describe as an "infrastructure debt" problem, where enterprises possess powerful AI models but lack the foundational systems needed to deploy them effectively at scale.

The company's solution centers on a comprehensive five-module platform designed to address every stage of the AI implementation pipeline: Neuron for flexible data infrastructure, Atomic for visual process mapping, an Expert Marketplace providing human oversight, Synapse for performance evaluation, and Axon for agentic automation orchestration.

The Human-AI Hybrid Strategy That's Attracting Enterprise Dollars

What distinguishes Invisible's approach from the crowded field of AI vendors is its deliberate integration of human expertise within automated workflows. The Expert Marketplace component provides high-quality human oversight, Reinforcement Learning from Human Feedback capabilities, and validation services—addressing a critical gap where pure automation often fails in complex enterprise environments.

This hybrid model has already proven its value across diverse industry verticals. The NBA's Charlotte Hornets utilized Invisible's computer vision models for draft analysis validation, while Swiss Gear leveraged the platform to structure and unify data for improved demand forecasting. In the defense sector, Invisible partnered with Science Applications International Corporation and Vatn Systems on U.S. Navy exercises involving autonomous underwater vehicles, demonstrating the platform's capability in mission-critical applications.

The strategic hiring of key personnel reinforces this enterprise-focused positioning. Kit Colbert, former CTO of VMware, joined as Platform CTO, bringing decades of enterprise infrastructure experience. Benjamin Samuels, former CRO of WeWork, was appointed GM of EMEA to lead European expansion, while Sharon Woods joined as SVP of Enterprise Accounts for the Public Sector, bringing two decades of leadership experience across the White House, Pentagon, and defense agencies.

Riding the Agentic Workflow Wave

The timing of Invisible's funding round aligns with a broader industry shift toward "agentic workflows"—multi-step, semi-autonomous systems that can execute complex business processes with minimal human intervention. Market analysis suggests 2025 has emerged as the inflection point for agentic AI adoption, driven by enterprises' growing comfort with delegating decision-making authority to AI systems within controlled parameters.

This trend extends far beyond Invisible's individual success story. The enterprise AI infrastructure sector has witnessed a surge of significant funding rounds, with companies like Nebius raising $3 billion for AI cloud infrastructure and NetBox Labs securing $35 million for network management automation platforms. Industry observers note approximately 30 U.S. AI startups raised $100 million or more in 2025, with a growing emphasis on infrastructure and platform plays rather than pure application development.

The convergence of factors driving this investment wave includes the movement of AI from proof-of-concept to core operations, the complexity of integrating modern AI with legacy systems, persistent compute and data center capacity constraints, and increasing regulatory pressures around data sovereignty and AI governance.

The Vanara Capital Gambit: First Deal, Big Stakes

Vanara Capital's decision to make Invisible Technologies its inaugural publicly announced investment carries particular significance. Founded by TPG alumni, the investment management firm's choice to lead this round with such a substantial commitment suggests confidence that enterprise AI infrastructure represents a compelling investment thesis for the next decade.

The investor syndicate joining Vanara includes Princeville Capital, HOF Capital, Freestyle VC, Rocketeer Management, and Tallwoods Capital, alongside existing investors Acrew Capital, Greycroft, Backed VC, BY Ventures, and Deepwater Asset Management. This diverse group of institutional investors reflects the broad appeal of Invisible's positioning at the intersection of data management and agentic application development.

Vanara Managing Partner Hayden Lekacz will join Invisible's Board of Directors, bringing the investment firm's strategic guidance to a board that already includes notable technology industry veterans and entrepreneurs.

Competitive Crosswinds: Where Giants and Startups Collide

The enterprise AI infrastructure landscape presents both unprecedented opportunity and fierce competition. Major cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform are rapidly expanding their AI orchestration capabilities, while established enterprise software companies like Salesforce, ServiceNow, and UiPath are embedding agentic features into their existing platforms.

Simultaneously, specialized data and AI platform companies including Databricks, Snowflake, and Palantir are building comprehensive AI workflow capabilities, creating a multi-front competitive environment where startups must differentiate against both incumbent enterprise vendors and emerging pure-play AI infrastructure companies.

The competitive dynamics create both risks and opportunities for companies like Invisible. While the market opportunity appears substantial, execution risk increases significantly when attempting to deliver comprehensive solutions across the entire AI implementation stack rather than focusing on specific niche capabilities.

Investment Implications: Infrastructure Plays Command Premium Valuations

For professional traders and institutional investors, Invisible's funding round illuminates broader market dynamics within the enterprise AI sector. The substantial valuation premium commanded by comprehensive AI infrastructure platforms suggests investors have developed conviction around the durability of companies that solve fundamental operational challenges rather than those focused primarily on user interface innovations.

Market analysts suggest several key investment themes emerging from this funding wave. First, platforms that combine software automation with human-in-the-loop capabilities may command higher multiples due to their ability to address complex enterprise use cases where pure automation approaches fail. Second, companies with established public sector and regulated industry expertise appear positioned for accelerated growth as government agencies and compliance-heavy sectors increase AI adoption.

Third, the geographic expansion strategies being pursued by companies like Invisible—with new offices in New York, Washington D.C., and London—indicate the global nature of enterprise AI infrastructure demand and the importance of local presence for large-scale enterprise sales cycles.

Forward-Looking Analysis: Positioning for the Next Wave

Looking ahead, several factors may influence the trajectory of enterprise AI infrastructure investments. The integration of increasingly sophisticated language models with existing enterprise workflows will likely accelerate demand for orchestration and governance platforms. Simultaneously, regulatory frameworks around AI deployment in sensitive sectors may create additional market opportunities for companies with strong compliance and audit capabilities.

The human-in-the-loop approach pioneered by companies like Invisible may prove particularly valuable as enterprises seek to balance automation benefits with risk management requirements. Market indicators suggest that platforms capable of demonstrating measurable ROI while maintaining human oversight and control mechanisms will be well-positioned for sustained growth.

However, investors should carefully evaluate execution risk in companies attempting to address the full enterprise AI stack. The breadth of capabilities required to successfully compete across data infrastructure, workflow orchestration, human expertise platforms, and automated deployment creates significant operational complexity that may challenge even well-funded organizations.

As the enterprise AI infrastructure market continues to mature, the companies that successfully navigate these challenges while delivering measurable business value to large enterprise customers will likely capture disproportionate market share and investment returns. Invisible Technologies' $100 million funding round represents a significant bet on this thesis—one whose ultimate success will depend on execution across multiple demanding enterprise verticals in an increasingly competitive landscape.

Market participants should note that past performance does not guarantee future results, and all investment decisions should incorporate comprehensive due diligence and consultation with qualified financial advisors.