Invisible Technologies: Company Profile

Background

Overview

Invisible Technologies is a privately held company specializing in artificial intelligence (AI) and automation solutions for enterprises. Founded in 2015, the company is headquartered in San Francisco, California, with a global workforce operating remotely across various locations. Invisible Technologies offers an end-to-end AI software platform that structures complex data, builds digital workflows, deploys intelligent solutions, evaluates impact, and mobilizes relevant human experts. The company has trained foundation models for over 80% of the world's leading AI model providers, including Cohere, Microsoft, and AWS, demonstrating its significant role in the AI industry.

Mission and Vision

Invisible Technologies aims to make AI work in the real world by integrating human expertise with advanced AI capabilities. Its mission is to redefine operational efficiency and set new standards in the industry, empowering businesses to achieve unprecedented levels of productivity and creativity.

Primary Area of Focus

The company's primary focus is on providing AI-driven solutions that enhance workflow efficiency and optimize complex business operations across various sectors. Invisible Technologies specializes in structuring messy data, building digital workflows, deploying agentic solutions, evaluating and measuring impact, and mobilizing relevant human experts to support AI initiatives.

Industry Significance

Invisible Technologies has established itself as a significant player in the AI and automation industry. In 2024, the company achieved $134 million in revenue, marking a 123% increase from $60 million in 2023. This growth was propelled by substantial contracts for reinforcement learning with human feedback (RLHF) services, including engagements with OpenAI, Amazon, Microsoft, and Cohere. Additionally, Invisible Technologies was named the second fastest-growing AI company on the Inc. 5000 list in 2024, underscoring its rapid expansion and impact in the sector.

Key Strategic Focus

Core Objectives

Invisible Technologies focuses on delivering comprehensive AI solutions that integrate human expertise with advanced AI capabilities. The company's objectives include:

• Data Structuring: Organizing and preparing complex data for AI applications.

• Digital Workflow Development: Creating efficient workflows to streamline business processes.

• Deployment of Intelligent Solutions: Implementing AI-driven solutions to enhance operational efficiency.

• Impact Evaluation: Assessing the effectiveness and outcomes of AI initiatives.

• Mobilization of Human Experts: Engaging relevant human expertise to support AI projects and ensure their success.

Specific Areas of Specialization

Invisible Technologies specializes in:

• AI Model Training: Providing human feedback on AI model outputs to improve accuracy and performance.

• Reinforcement Learning with Human Feedback (RLHF): Enhancing AI models through human-in-the-loop training methodologies.

• Enterprise AI Solutions: Developing AI applications tailored to the specific needs of large-scale enterprises.

Key Technologies Utilized

The company employs a combination of AI technologies and human expertise to deliver its services, including:

• Natural Language Processing (NLP): For understanding and generating human language.

• Machine Learning Algorithms: To develop predictive models and automate decision-making processes.

• Data Analytics Tools: For analyzing and interpreting complex datasets.

Primary Markets or Conditions Targeted

Invisible Technologies primarily targets:

• Large Enterprises: Especially those in sectors such as finance, insurance, and technology, seeking to integrate AI into their operations.

• AI Research Labs: Providing RLHF services to enhance AI model training and performance.

• Businesses Seeking Operational Efficiency: Companies aiming to streamline processes and improve productivity through AI and automation.

Financials and Funding

Funding History

Invisible Technologies has undergone several funding rounds to support its growth and expansion:

• Seed Round (2018): Led by Backed Ventures, raising $2.6 million.

• Venture Round (2021): Details not specified in the available sources.

• Growth Round (September 2025): Raised $100 million led by Vanara Capital, bringing the company's valuation to over $2 billion.

Total Funds Raised

The company has raised a total of approximately $102.6 million across its funding rounds.

Notable Investors

Invisible Technologies has attracted investment from several notable entities:

• Backed Ventures: Led the seed round in 2018.

• Vanara Capital: Led the growth round in September 2025.

• Day One Ventures, Greycroft, Horizons Alpha, Loup Ventures: Participated in earlier funding rounds.

• Individual Investors: Including Mark Pincus.

Intended Utilization of Capital

The funds raised are intended to:

• Expand Service Offerings: Develop new AI solutions and enhance existing services.

• Support Enterprise Clients: Provide tailored AI applications for large-scale enterprises.

• Enhance Operational Capabilities: Invest in infrastructure and talent to support growth.

Pipeline Development

Key Pipeline Candidates

Invisible Technologies is focusing on:

• AI Model Training Services: Enhancing AI models through human-in-the-loop training methodologies.

• Enterprise AI Solutions: Developing AI applications tailored to the specific needs of large-scale enterprises.

Stages of Development

The company is in the advanced stages of deploying its AI solutions across various industries, with a focus on scaling operations to meet increasing demand.

Target Conditions

Invisible Technologies aims to address:

• Operational Inefficiencies: By streamlining processes through AI and automation.

• Complex Data Management: By structuring and analyzing complex datasets.

• AI Model Performance: By providing human feedback to improve AI model accuracy and effectiveness.

Relevant Timelines for Anticipated Milestones

Specific timelines for upcoming milestones are not detailed in the available sources.

Technological Platform and Innovation

Proprietary Technologies

Invisible Technologies has developed proprietary AI models and platforms that integrate human expertise with AI capabilities to deliver customized solutions for enterprise clients.

Significant Scientific Methods

The company employs reinforcement learning with human feedback (RLHF) methodologies to enhance AI model training and performance.

AI-Driven Capabilities

Invisible Technologies leverages AI to automate complex business processes, analyze large datasets, and provide intelligent solutions that drive operational efficiency.

Leadership Team

Key Executives

• Matthew Fitzpatrick: Chief Executive Officer (CEO). Appointed in January 2025, Fitzpatrick brings experience from McKinsey & Company, where he led AI initiatives.

• Juan Martin Ocampo: Chief Executive Officer (CEO). Details about Ocampo's tenure and background are not specified in the available sources.

• Bryan Lloyd: Senior Vice President, Sales; General Manager for Food, Hospitality, and Retail. Specific details about Lloyd's role and background are not provided in the available sources.

Competitor Profile

Market Insights and Dynamics

The AI and automation industry is experiencing rapid growth, with increasing demand for solutions that integrate AI into business operations. Companies are seeking ways to enhance operational efficiency, manage complex data, and improve decision-making processes through AI technologies.

Competitor Analysis

Invisible Technologies operates in a competitive landscape with several key players:

• Brain Co.: Provides AI platforms and applications for large institutions, focusing on automating workflows and optimizing energy consumption.

• Plenful: Offers a workflow automation platform streamlining pharmacy and healthcare operations, integrating with various systems.

• nuwacom: Enables businesses to integrate AI seamlessly into their workflows, connecting internal knowledge, teams, and AI agents.

• Glean: Develops work assistants with intuitive AI capabilities, enhancing productivity and information retrieval.

• n8n: Provides an extensible workflow automation tool with a node-based approach.