Invisible Technologies

Invisible Technologies

Invisible Technologies is an AI training-data and operations platform that pairs a large expert workforce with software to build, fine-tune, and run AI systems. Invisible Technologies supplies the human feedback, evaluation, and post-training data that frontier labs use to align models, and it automates repetitive enterprise processes through a mix of agents and people. Founded in 2015, Invisible Technologies started as a service that handled manual business operations and evolved into an AI-data provider after demand from foundation-model builders surged. Today it spans RLHF and model evaluation on one side and agentic process automation for large enterprises on the other.

Production credibility: Founded in 2015 by Francis Pedraza (now Chairman); led since January 2025 by CEO Matthew Fitzpatrick, formerly global head of QuantumBlack Labs at McKinsey. Raised roughly $144M total, including a $100M growth round in September 2025 led by Vanara Capital at a reported $2B+ valuation, with participation from Princeville Capital, HOF Capital, Freestyle, and existing backers Acrew Capital and Greycroft. Reported 2024 revenue of approximately $134M, more than doubling year over year after roughly 24x growth from 2020 to 2023; named the #2 fastest-growing AI company on the 2024 Inc. 5000. States it has trained foundation models for more than 80% of leading AI model providers; named customers and partners include Microsoft, Cohere, AWS, and SAIC.

Key Features

• Expert human-feedback (RLHF) and preference data for aligning large language models
• Model evaluation and red-teaming with domain specialists across coding, science, and finance
• Post-training and fine-tuning data pipelines for foundation-model providers
• Agentic process automation that combines AI agents with human-in-the-loop review
• A modular platform spanning data infrastructure, workflow mapping, annotation, and automation
• A vetted global workforce of specialists managed through the company's orchestration software
• Enterprise operations delivery for back-office and customer workflows at scale
• Custom engagements for regulated industries with managed quality and oversight

Ideal Use Case

A foundation-model lab contracts Invisible to generate expert RLHF and evaluation data to align a new model, while a Fortune 500 enterprise uses the same platform to automate a high-volume operations workflow with agents and human reviewers.

How Invisible Technologies differentiates

Against Scale AI, Invisible competes on the same RLHF and model-evaluation work but pairs it with an operations-automation business that runs ongoing enterprise processes, not just data delivery. Against Surge AI, which focuses narrowly on high-quality labeling and human feedback, Invisible spans a wider surface from data to deployed workflows, which can mean less specialization on pure annotation. Against Turing, which centers on sourcing engineering talent and coding data, Invisible frames itself around process orchestration plus expert data. The trade-off is breadth versus focus: buyers wanting a single labeling product may find Invisible's service-plus-platform model heavier to scope.

FAQ

Q: What does Invisible Technologies do? A: Invisible provides AI training data such as RLHF and model evaluation for foundation-model builders, and it automates enterprise operations by combining AI agents with an expert human workforce on a shared platform.

Q: Who founded Invisible Technologies? A: Invisible Technologies was founded in 2015 by Francis Pedraza, who now serves as Chairman; Matthew Fitzpatrick, formerly of McKinsey's QuantumBlack, became CEO in January 2025.

Q: How much has Invisible Technologies raised? A: Invisible has raised roughly $144 million, including a $100 million round in September 2025 led by Vanara Capital at a reported $2 billion-plus valuation.

Q: Invisible Technologies vs Scale AI: how do they compare? A: Both supply RLHF and evaluation data to AI labs, but Invisible also runs an enterprise operations-automation business that delivers ongoing workflows, whereas Scale AI is more focused on data labeling and model data products.

Q: What is Invisible's reported revenue? A: Invisible reported approximately $134 million in 2024 revenue, more than double the prior year, and was ranked the #2 fastest-growing AI company on the 2024 Inc. 5000.

tl;dr

Invisible Technologies is an AI training-data and operations-automation platform that blends expert humans with software, serving both foundation-model labs and large enterprises. Founded in 2015 and valued at a reported $2B+ after a $100M 2025 round, it reported about $134M in 2024 revenue. Best for organizations needing RLHF data or AI-driven process automation at enterprise scale.

Related

Looking for more options? Browse the AI/ML Models directory or read our best AI models listicle. Invisible Technologies is also tracked on Crunchbase.