Invisible Technologies
| Private | |
| ISIN | 🆔 |
| Industry | Information technology |
| Founded 📆 | 2015 |
| Founder 👔 | Francis Pedraza |
Area served 🗺️ | |
Key people | Matthew Fitzpatrick (CEO)[1] Francis Pedraza (founder)[2] |
| Members | |
Number of employees | |
| 🌐 Website | invisibletech |
| 📇 Address | |
| 📞 telephone | |
Invisible Technologies is an American artificial intelligence software company founded in 2015 and headquartered in New York City. It provides AI software platforms and services for managing enterprise data workflows, including human-in-the-loop services for training and evaluating artificial intelligence systems.[3]
The company works with enterprises to integrate large language models into their operations; this developed from their experience in data operations and reinforcement learning from human feedback (RLHF).[4]
As of 2025, Invisible Technologies employed approximately 350 people and maintained offices in New York, San Francisco, Washington, D.C., and London.[5]
History
Invisible Technologies was founded in 2015 by Francis Pedraza following the closure of Everest, his previous goal-tracking startup. Pedraza served as the company’s chief executive officer until 2023, and he now serves Chairman of the Board.[6]
Early media coverage described the company as combining proprietary software with distributed human workers to complete business workflows for clients.[7]
Invisible Technologies became profitable in 2020.[2] In 2024, it reported annual revenue of $134 million.[8]
In 2025, Matthew Fitzpatrick, formerly a senior executive at McKinsey & Company, was appointed chief executive officer.[1] Hayden Lekacz, managing partner at Vanara, joined the company’s board.[5] Other senior appointments that year included former UK Cabinet Secretary Lord Simon Case as a part-time adviser[9]; and Sharon Woods, a former U.S. Department of Defense technology executive, who was appointed senior vice president for enterprise accounts and public sector work.[10]
Operations
Invisible Technologies trains LLMs to make AI work in enterprises combining software systems with human reviewers who have domain-specific expertise, for example in medical, legal, or financial fields.[4] The company's technologies were also applied in sports analytics. The NBA’s Charlotte Hornets worked with Invisible to fine-tune and analyze AI models for validating potential draft picks.[11]
Despite the growing interest in artificial intelligence across large organizations, enterprise adoption continues to face practical limitations. In a 2025 interview with Bloomberg Television, chief executive officer Matthew Fitzpatrick said that the deployment of AI systems in enterprise settings was constrained by issues related to data quality, validation requirements, and challenges in integrating AI into existing production environments.[12]
The company’s platform includes five modular components—Neuron, Atomic, Synapse, Axon, and Expert Marketplace—each responsible for specific functions such as structuring unorganized data, creating digital workflows, deploying AI agents, and incorporating human feedback.[8] The platform has been used by Swiss Gear and Science Applications International Corporation (SAIC).[11] Reuters has also identified such clients such as Cohere, AI21 Labs, and Amazon Web Services.[4]
Additionally, Invisible Technologies traines large language models for the major providers, including ChatGPT.[11] The company uses simulated environments to evaluate AI agents performing software-based tasks. One reported example involved an agent navigating the Microsoft Teams interface.[11]
Funding
Invisible Technologies has raised multiple rounds of private financing. In 2025, the company raised $100 million in financing led by Vanara Capital, which included participation from Acrew Capital, Greycroft and others.[8] Invisible Technologies was valued at more than $2 billion during that financing round.[3][11]
Industry context
Invisible Technologies emerged from the AI training and data-annotation sector, which expanded significantly in the early 2020s with the wider adoption of large language models. The sector initially relied on contract workers performing standardized data-labeling tasks, often with limited benefits and compensation varying by location.[13]
In early 2023, Invisible Technologies was among the contractors working on projects for OpenAI, and changes in OpenAI’s use of contract workers affected some contract workers at the company. Business Insider reported that Invisible laid off 31 contract data trainers who had been working on projects for OpenAI’s large language models, including ChatGPT.[14]
In 2024 and 2025, Invisible Technologies and other AI training firms began supporting more enterprise-related use cases, relying increasingly on subject-matter experts to provide domain-specific human feedback for complex training tasks. This shift was associated with higher compensation relative to routine data labeling.[4][15][16]
Recognition
Invisible Technologies has been discussed in media coverage of the AI training and human-in-the-loop services sector.[17][4][13]
In 2024, the company appeared on the Inc. 500, an annual ranking of the fastest-growing privately held U.S. companies.[18]
In 2025, Invisible Technologies was included in the Deloitte Technology Fast 500 ranking, based on reported revenue growth.[19]
References
- ↑ 1.0 1.1 Varanasi, Lakshmi (2025-01-21). "McKinsey senior executive departing firm to lead an 'under-the-radar' AI company". Business Insider. Retrieved 2026-01-13.
- ↑ 2.0 2.1 Martin, Iain (2025-02-04). "This AI founder's audacious plan to buy out his own VCs". Forbes Australia. Forbes Media. Retrieved 2026-01-13.
- ↑ 3.0 3.1 Bass, Dina (2025-09-16). "Scale AI Rival Invisible Technologies Valued at Over $2 Billion". Bloomberg. Retrieved 2026-01-13.
- ↑ 4.0 4.1 4.2 4.3 4.4 Mukherjee, Supantha; Tong, Anna (2024-09-28). "If your AI seems smarter, it's thanks to smarter human trainers". Reuters. Retrieved 2026-01-13.
- ↑ 5.0 5.1 Williams, Brian Tristam (2025-09-16). "Invisible Technologies Secures $100M in Growth Funding Led by TPG Spinoff". eeNews Europe. Retrieved 2026-01-13.
- ↑ Sherry, Ben (2025-10-30). "This Founder Says Consultancies Like Accenture Are 'Blockbusters Waiting to Be Netflixed'". Inc.com. Mansueto Ventures. Retrieved 2026-01-13.
- ↑ Daso, Frederick (2020-11-02). "Invisible Technologies' CEO Francis Pedraza Believes The Future Of Business Is 'Worksharing'". Forbes. Retrieved 2026-01-13.
- ↑ 8.0 8.1 8.2 Hope, Graham (2025-09-18). "Invisible Technologies Secures $100M AI Training Platform". AI Business. Retrieved 2026-01-13.
- ↑ Varanasi, Lakshmi (2025-10-11). "AI firm recruits ex-civil service boss Case after Sunak joins Microsoft". The Independent. Retrieved 2026-01-13.
- ↑ Curran, John (2025-08-22). "Sharon Woods Lands at Invisible Technologies". MeriTalk. Retrieved 2026-01-13.
- ↑ 11.0 11.1 11.2 11.3 11.4 Sherry, Ben (2025-09-18). "This AI Company Just Raised $100 Million to Build Out Tools for Businesses". Inc.com. Mansueto Ventures. Retrieved 2026-01-13.
- ↑ Invisible Technologies on Future of AI Adoption (Video). Bloomberg. 2025-11-19. Retrieved 2026-01-13.
- ↑ 13.0 13.1 Ingram, David (2023-05-06). "ChatGPT is powered by these contractors making $15 an hour". NBC News. Retrieved 2026-01-13.
- ↑ Mok, Aaron (2023-04-22). "ChatGPT Contractor OpenAI Laid Off Dozens of Data Trainers". Business Insider. Retrieved 2026-01-13.
- ↑ Barr, Alistair (2025-12-24). "AI model training needs are changing, with subject experts pushing aside generalist data labelers". Business Insider. Retrieved 2026-01-13.
- ↑ Goel, Shubhangi (2026-01-05). "The CEO of $2 billion AI training startup says that humans will stay involved in data creation for decades". Business Insider. Retrieved 2026-01-13.
- ↑ Rollet, Charles; Goel, Shubhangi (2025-09-25). "AI training companies are raising billions to get humans to teach chatbots. Here are the startups cashing in". Business Insider. Retrieved 2025-12-01.
- ↑ "Invisible Technologies". Inc.com. Inc. Retrieved 2026-01-13.
- ↑ 2025 Technology Fast 500 Rankings (PDF) (Report). Deloitte. 2025. Retrieved 2026-01-13.
External links
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