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Enterprise SaaS platform for AI training data, transforming raw data into high-quality datasets for trustworthy AI applications.
Kili Technology, based in Paris, France, offers an enterprise-grade SaaS platform designed to transform raw data into high-quality training datasets for artificial intelligence projects. The platform integrates AI annotation tools, enabling users to reduce annotation time by 50% and achieve 94% precision for various data types, including images, videos, and text. Serving AI-powered scale-ups and data science teams across sectors like banking, manufacturing, and healthcare, Kili Technology has raised over $30 million in total funding by 2021, including a $25 million Series A round in 2021 led by Balderton Capital, with participation from Serena Capital and Headline. The company employs a team of over 50 professionals, expanding its operations across Europe, Asia, and the US. Kili Technology was founded in 2018 by François-Xavier Leduc and Edouard d’Archimbaud.
Kili Technology has raised $31.9M across 2 funding rounds.
Kili Technology has raised $31.9M in total across 2 funding rounds.
Kili Technology has raised $31.9M in total across 2 funding rounds.
Kili Technology's investors include Balderton Capital, Band of Angels, Cherry Ventures, eFounders, Expedite Ventures, HV Capital, Kearny Jackson, NewView Capital, SNR, YOBE Ventures, Andrew Nutter, Charles Zedlewski.
Kili Technology is a Paris-based software company founded in 2018 that builds a cloud-based data labeling and annotation platform to create high-quality training datasets for AI and machine learning models.[1][2][3] It serves enterprise customers in regulated sectors like defense, healthcare, financial services, insurance, geospatial AI, and manufacturing, solving key pain points in AI development: inefficient labeling, inconsistent data quality, and scalability for distributed teams.[2][6] The platform supports multi-modal data (images, videos, text, PDFs, geospatial, 3D point clouds) with automated tools like Segment Anything Model 2 integration and LLM/RAG evaluation, enabling 10x faster dataset creation while ensuring compliance via SOC2 Type II, ISO 27001, HIPAA certifications, and on-premise options.[2][6] With $32M raised (including a $25M Series A in 2021 from Serena, Headline, and Balderton), Kili has achieved strong growth, securing renewals from early customers by late 2020 and serving Fortune 500 firms like LCL Bank, Covea, and Crédit Agricole.[1][3][5]
Kili Technology emerged in 2018 from the insight that AI success hinges on data quality, not just models, amid hype around AI frameworks.[1][2] Co-founder and CTO Edouard d’Archimbaud brought expertise from building one of Europe's most advanced AI Labs at BNP Paribas, while co-founder and CEO François-Xavier Leduc provided entrepreneurial know-how to commercialize it.[1][2][5] They launched the platform by July 2020, quickly gaining traction with contract renewals and a full pipeline by year-end.[1] A pivotal $30M+ funding round in 2021 from top VCs like Serena Capital, Headline, and Balderton—backed by angels including CEOs of Algolia and Datadog—fueled global scaling.[1][3][5] Early wins with scale-ups like VitaDX and Jellysmack, plus enterprises like Carrefour and Bureau Veritas, validated their focus on versatile annotation tools.[5]
Kili stands out in the data-centric AI space through enterprise-focused features and integrations tailored for regulated, high-stakes use cases:
Kili rides the data-centric AI trend, where high-quality, labeled data becomes the bottleneck as foundation models commoditize—shifting focus from model training to curation, evaluation, and iteration for trustworthy AI.[1][2][6] Timing aligns with generative AI's explosion (post-2022), demanding scalable tools for LLMs, RAG, and multi-modal apps amid regulatory pressures like GDPR and sector-specific rules.[2] Market forces favor Kili: exploding demand in verticals handling sensitive data (defense geospatial intel, healthcare imaging, finance KYC), where compliance barriers create moats; plus, AI's shift to production-scale deployment amplifies needs for robust pipelines.[2][6] It influences the ecosystem by enabling faster AI industrialization for giants like LCL Bank and defense contractors, lowering barriers for regulated industries while competing with players like Snorkel AI and CloudFactory through superior multi-modal and security edges.[3][6]
Kili is poised to capitalize on data's centrality in AI, expanding from annotation leader to full data development platform with deeper LLM fine-tuning and evaluation amid rising enterprise AI adoption.[2][6] Trends like agentic AI, multi-modal models, and stricter global regs (e.g., EU AI Act) will drive demand, especially in its core verticals, potentially fueling another funding round or acquisition by hyperscalers needing data tools.[3] Influence may grow via partnerships and global hires (51-200 employees), solidifying its role in trustworthy AI stacks—echoing its founding bet that data unlocks production-grade models for businesses worldwide.[1][5]
Kili Technology has raised $31.9M across 2 funding rounds. Most recently, it raised $25.0M Series A in July 2021.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jul 1, 2021 | $25.0M Series A | Balderton Capital | Band of Angels, Cherry Ventures, eFounders, Expedite Ventures, HV Capital, Kearny Jackson, NewView Capital, SNR, YOBE Ventures, Andrew Nutter, Charles Zedlewski, Clement Benoit, Greg Kidd, Michel Meyer, Oleg Tscheltzoff, Chris Schagen, Dimitri Sirota, Olivier Pailhes, Jonathan Userovici, Serena Capital |
| Jan 26, 2021 | $6.9M Other Equity | Jonathan Userovici, Marie Brayer | Gus Robertson, Nicolas Dessaigne, Olivier Pomel, Stanislas de Bentzmann |