Invisible Technologies Secures $100M to Boost AI Training Platforms
Invisible Technologies Raises $100M to Revolutionize AI Training
San Francisco, CA — Invisible Technologies, a startup focused on AI training platforms, announced a $100 million funding round led by Vanara Capital, with participation from Princeville Capital, HOF Capital, Acrew Capital, Greycroft, and Deepwater Asset Management. This investment elevates the company's total funding to $144 million and its valuation to $2 billion, solidifying its position as one of the fastest-growing AI firms on the 2024 Inc. 5000 list.
Image source note: The image is AI-generated, and the licensing service provider is Midjourney.
Addressing the AI Deployment Challenge
Invisible Technologies aims to bridge the gap between AI development and real-world implementation. CEO Matthew Fitzpatrick emphasized in a press release: "While AI garners significant attention, most companies struggle to deploy models effectively or quantify ROI. Our platform changes that."
The company’s software combines an expert marketplace with tools to organize, clean, annotate, and map data—enabling businesses to build scalable workflows. Its modular platform includes:
- Neuron: Structures unstructured data.
- Atomic: Creates digital workflows.
- Synapse: Measures AI impact.
- Axon: Deploys intelligent solutions.
- Expert Marketplace: Provides human feedback for reinforcement learning (RLHF).
The latter is particularly critical for clients developing large language models (LLMs), offering domain-specific expertise for tailored training data.
Growth and Strategic Partnerships
The new capital will accelerate platform development and attract high-profile clients, building on the company’s $134 million revenue in 2024. Invisible Technologies already collaborates with industry giants like AWS, Microsoft, and Cohere.
Key Points:
- 💰 $100M raised, totaling $144M; valuation hits $2B.
- 📈 Solves AI deployment hurdles with structured training data.
- 🧠 Expert Marketplace enhances LLM customization via human feedback.