Clarity-in-AI is a forward-thinking technology firm committed to enhancing transparency, interpretability, and ethical considerations within artificial intelligence systems. We empower organizations to understand, trust, and responsibly deploy AI by providing advanced tools and frameworks for explainable AI (XAI), algorithmic bias detection, continuous model monitoring, and comprehensive AI governance. Our core mission is to demystify complex AI models, promoting a future where AI is leveraged ethically and effectively for societal and business advancement.
The San Francisco headquarters serves as the central hub for core operations, including advanced research and development, product strategy, software engineering, corporate leadership, and global business development.
Our headquarters features a modern, open-concept workspace designed to foster collaboration and creativity, equipped with state-of-the-art R&D labs, and dedicated spaces for hosting community tech events and workshops.
Clarity-in-AI cultivates a dynamic, inclusive, and research-intensive work environment. We champion continuous learning, bold experimentation, and a strong ethical foundation in all aspects of AI development and deployment.
The headquarters' location in San Francisco provides unparalleled access to a rich talent pool of AI researchers, engineers, and ethicists, and facilitates close engagement with a thriving ecosystem of tech innovators, academic institutions, and venture capital.
Clarity-in-AI operates globally, with its main headquarters in San Francisco, a significant European office in Berlin, and a distributed team of remote professionals worldwide. Our solutions and services are designed for international applicability, addressing global standards and challenges in AI ethics, transparency, and governance across various industries.
123 Innovation Drive, Suite 400
San Francisco
CA
USA
Address: AI Campus Berlin, Max-Urich-Straße 3, 13355 Berlin
To strengthen Clarity-in-AI's presence in Europe, engage directly with the EU's evolving AI regulatory landscape, and tap into the continent's diverse AI talent and innovation ecosystem.
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As of April 2025, Clarity-in-AI' leadership includes:
Clarity-in-AI has been backed by several prominent investors over the years, including:
Over the past 12 months, Clarity-in-AI has strengthened its executive leadership by appointing a Chief Commercial Officer to drive market expansion and commercial strategy. The company maintains stability in its core leadership team with no executive departures during this period.
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Clarity-in-AI primarily utilizes a consistent email format for its employees, typically combining the first name or initial with the last name.
Common formats include [first].[last]@clarityinai.com (e.g., jane.doe@clarityinai.com) or [first_initial][last]@clarityinai.com (e.g., jdoe@clarityinai.com).
Format
evelyn.reed@clarityinai.com
Example
85%
Success rate
TechCrunch • October 26, 2023
Clarity-in-AI, a startup dedicated to demystifying artificial intelligence, today announced the closure of a $15 million Series A funding round. The round was led by TechSpark Ventures, with significant participation from FutureVision Capital and AI Ethics Fund. These funds will be instrumental in expanding their research and development efforts, scaling their platform, and accelerating global market adoption of their AI transparency solutions....more
AI Business Chronicle • March 15, 2024
Clarity-in-AI today unveiled InsightLens, its flagship platform designed to provide organizations with real-time interpretability, fairness assessment, and continuous monitoring for complex machine learning models. InsightLens aims to empower businesses to build greater trust, ensure regulatory compliance, and uphold ethical standards in their AI-driven operations....more
EthicsInAI.org • May 05, 2024
Clarity-in-AI has entered into a strategic partnership with Stanford University's Institute for Human-Centered Artificial Intelligence (HAI). This collaboration will focus on joint research initiatives to develop novel frameworks and best practices for ethical AI development, auditing, and governance, tackling key challenges in AI bias, fairness, and transparency....more
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