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Recently Funded|Amount: USD 15.0M|Industry: Software Development
Kili Technology Secures $15M to Revolutionize High-Quality Data Labeling and AI Performance
Kili Technology

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Today, we are thrilled to announce that Kili Technology has successfully raised $15,000,000 in our latest funding round—a significant milestone that underscores the growing confidence our customers have in our vision. Since our humble beginnings in 2018, when co-founders Edouard d’Archimbaud and François-Xavier Leduc embarked on a mission to ensure that data is never a barrier to good AI, we have been dedicated to building high-quality datasets fast. Enterprises worldwide rely on us to streamline their data labeling operations and develop the best datasets for custom models, generative AI, and large language models. In an era when many traditional datasets, such as MNIST and ImageNet, continue to exhibit error rates of 3.4% and 6% respectively—with real-world consequences that force models into error-laden retraining loops—Kili Technology’s innovative platform provides a fresh alternative by delivering precise, meticulously curated data. This infusion of $15 million will enable us to accelerate the continued evolution of our platform, scale our operations globally, and further refine our tools to offer even greater efficiency and reliability in AI development. The new funding will also support strategic hires, increased research and development, and enhanced customer support, ensuring that our partners not only meet the demands of today's fast-paced AI landscape but also lead the way in tomorrow's technological breakthroughs. As we build on our early successes and the strong trust placed in our capabilities, we look forward to setting new industry standards for data quality and driving the future of trustworthy AI across every sector.
Buying Signals & Intent
Our AI suggests Kili Technology may be interested in solutions related to:
- Data Quality Solutions
- Machine Learning Tools
- AI Training Data
- Model Evaluation Services
- Expert Consulting
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