We build the tools needed for Human-AI synergy

We’re driven by the belief that AI will be pivotal in helping humanity face its greatest challenges to date.

Sharing a common vision of a brighter, better future through the application of AI, we’ve made it our mission to ensure that humans and AI can develop a mutual understanding, learn from each other, and collaborate, so that AI grows to be safe, reliable and trustworthy.

So, in 2017, we set out to solve major problems of traditional AI:

High cost of admission and numerous barriers to entry for organizations

Here are some of the barriers to entry that we abolish by using in-context Human-AI collaboration as a sort of bootstrapping method:

Doesn’t need large amounts of data on which to train an AI
Doesn’t call for in-house data science teams to design, train and retrain AI
No major changes to work method and infrastructure without guarantee of ROI (or vendor lock-in)
Does away with high computing costs for long training periods (that often come with vendor lock-in)
Can actually produce results in high-complexity, high-uncertainty or fast-changing scenarios

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AI can’t replace human expertise and judgement - and we wouldn’t want it to

That’s why we build tools to deliver AI that can keep up with human expertise and changing world conditions. That’s possible with AI that:

Trains with an organization’s human experts, in context.
Continually learns, so it adapts and doesn’t lose its value due to drift.
Works alongside human experts, supporting them with insights, prioritization and actions
Alleviates human experts’ mental load so they can focus on what matters

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Major lack of trust and reliability when it comes to AI training and use

Our unique approach to AI has humans and AI evolving in a shared environment, so they’re sharing the same experiences. Trust is built over time because:

Human experts have visibility on what the AI learns from, can correct it and guide it at any point in time
Organizations and their experts always retain control on what the AI can do, see and under which conditions
Our tech allows the seamless transition from simulation to real, allowing for an iterative, low-cost and low-risk approach

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The technology simply didn’t exist… yet

And because it didn’t exist, no one had done this before.

That’s why we’ve assembled a team of pioneers who can bridge the worlds of simulation and cutting-edge AI research, and then set out to work on what would become Cogment™, which we released in Open Source in 2021 and continue to expand upon alongside our other offerings.

Little did we know, we were pioneering RLHF, which is one of two key things that made ChatGPT into the success that it is according to the CEO of OpenAI!

Learn more about Cogment >

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While growing our team of experts:

Yves Lostanlen, General Manager, France

Dr. Yves Lostanlen is a hands-on entrepreneur with 25+ years of experience and has led multi-site global teams with a motivational coaching leadership style, delivering transformative Enterprise Software platforms and services. Known for his thirst to learn & versatility to jump quickly into a new environment, Yves' technical leadership & interests focus on Digital Business Transformations and Digital Twins considering sustainability and climate change leveraging technologies mentioned above.

Work with Yves
Dorian Kieken, President & Co-Founder

Dorian is actively focused on the advancement of AI ethics for humanitarian endeavors. He honed his business and technology acumen via leadership roles at DC Studios, Minority Media, and BioWare/EA, where he co-founded and developed the company’s Montreal studio into a thriving enterprise. His passion for strategic team building and collaborative innovation has yielded multiple Game of the Year awards.

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Matthew E. Taylor, Research Director

Matt is a tenured associate professor in computer science at the University of Alberta, a Fellow-in-Residence at the Alberta Machine Intelligence Institute, and remains an adjunct professor at Washington State University. He has been a PI or co-PI on over $6M USD in competitively awarded research funding from federal, state, and industrial sources, including the National Science Foundation CAREER award. He has (co-)supervised 7 graduated PhD students and 5 MS students, as well as published over 120 peer-reviewed papers in conferences and journals. His current fundamental and applied research interests are in reinforcement learning, human-in-the-loop AI, multi-agent systems, and robotics.

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Clodéric Mars, VP, Engineering

Clodéric has been building and deploying AI technology since 2006, closing the technology divide between machine learning and simulation while applying deep tech methodologies to solve complex engineering challenges and operationalize advanced AI for commercial usage. From his start as a developer to becoming a CTO, his skills have been primarily focused on AI and ML algorithms, applied data science, distributed cloud architecture, API design, product management, and team building. He is a recognized public speaker and organizer at AI industry events.

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Sai Krishna Gottipati, Reinforcement Learning Research

In his previous role as founding researcher and principal at 99andBeyond, Sai led a team of 11 researchers across 8 institutions and developed the world's first RL-based synthesizable drug discovery platform. His work is widely published at top AI conferences like ICML, AAAI, and NeurIPS (Oral at DRL workshop). While he was an MSc (research) student in AI at the REAL Lab at Mila (Quebec AI institute), Université de Montréal, he developed deep active localization that was published in the top robotics journal, RA-L.

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Pierre Ravary, Chief Financial Officer

Pierre assisted the company’s founders with establishing the financial operations for AI Redefined and has been instrumental in the development of the company’s business plan since its inception. He has accumulated 25 years of experience in Director of Finance and CFO positions, with a range of expertise including the implementation of accounting and reporting structures to prepare emerging companies for growth and governance, as well as securing funding from financial institutions and Series A/B investors.

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Marie-Renee Brisebois, Chief Operating Officer

Marie’s a versatile, entrepreneurial, and authentic leader, with more than 15 years of experience overseeing projects and operations, including ten spent growing teams and driving efforts in technology companies. She has a proven track record of delivering value in uncharted contexts, from start-ups to large corporations, and thrives in dynamic, collaborative settings, where striking a balance between vision and day-to-day execution is key.

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