We're a Montreal-based startup whose vision is to perfect the synergy between humans and AI to face the challenges of securing a brighter, more ethical future together.
Now's the time to leverage the advent of AI to the benefit of humankind through human-AI collaboration; that's why we're on a mission to enable humans and AI to trust and continuously learn from each other via Cogment, our dynamic human-AI orchestration platform.
Our multi-disciplinary team brings together leaders and pioneers from varied backgrounds around a shared desire to perfect the synergy between humans and AI to face the challenges of securing a brighter, more ethical future together.
G Craig Vachon
Chief Executive Officer
Craig has achieved success in CXO and leadership positions with diverse companies across the technology domain. He’s led P&L operations, new product development, strategic corporate initiatives (partnerships, M&A, investment), business development, marketing and finance for start-ups and high-tech companies around the world, raising more than US$1.6B in private equity (VC) investment for 30+ successful companies.
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.
François has diverse expertise bridging the worlds of machine learning and simulation, leading advanced technology integration initiatives with a specialized focus on AI, gameplay programming, low-level optimization and systems design. Drawing on his earlier experience at Google, Capcom, Opal-RT Technologies and Blue Castle Games, he is helping AI Redefined bridge the gap between engineering, research, and all things interactive.
Operations & Projects
Marie brings 20 years’ experience driving operational excellence, efficient project execution, and growing high-performing teams. She applies a multi-disciplined approach to strategy, program management, marketing, and operations and has led key management initiatives at companies large and small within the technology domain and beyond.
Jonathan M Fisher
Machine Learning Research
Jonathan is a mathematician by training, now applying his skills to scientific computing and data analysis for academia and industry. Previously at Jülich Centre for Neutron Science (JCNS) at Heinz Maier-Leibnitz Zentrum (MLZ), he developed software for the modelling and data analysis of neutron scattering experiments, while maintaining continuous integration systems.
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 REAL lab in Mila (Quebec AI institute), UdeM, he developed deep active localization that was published in the top robotics journal, RA-L.
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.
Machine Learning Research
Sagar is passionate about creating novel AI algorithms. He previously served as a lead researcher at dailyhunt/VerSe Innovation, a leader in machine learning and deep learning technologies for content customization. Sagar began his career as a data scientist at Personagraph, Housing.com, and Tata Consultancy Services, and an instructor for machine learning and data analytics courses at BrainStation.
Vincent joined AI Redefined with an extensive background in developing core engine physics technology after previously serving as graphics and physics programmer at CM Labs Simulations, provider of physics-based behavior modeling solutions and services for real-time visual simulation applications. Prior to that he was a physics programmer at Ubisoft for a wide range of leading game franchises.
Full Stack Engineering
Sara has a passion for interactive front-end development, with interests ranging from dynamic 3D single page applications to data analysis and marketing. She brings to AI Redefined her development expertise gleaned at companies like ESG Solutions (oil and energy), Stantive Technologies Group Inc, MoneyMate and Scripply.
Yves puts a high value on easily readable and manageable code that’s directly applicable to real-world problems. He brings specialized experience in C/C++, Assembler, SIMD, Multi-Threading (MT)/ Multi-Processing (MP), and Code/System Optimization, cultivated via earlier software development roles at DRW, Squarepoint Capital, and BuildIT.
Grégory has 17 years of experience in video games journalism and has amassed a wealth of technology, production, and business knowledge. At AI Redefined, Grégory is applying his designer and community experience gained at Blizzard Entertainment, with a keen interest in storytelling mechanics, AI (ML & DL), and procedural systems where he’s invested his design expertise.
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.
What's it like to work at AIR?
Our management culture reflects our core values, putting emphasis on self-management and distributed leadership; this fosters a positive, trusting and genuine environment where colleagues support each other, and where everyone has a real say in the work that we do.
We offer competitive compensation and benefits, true work-life balance with flexible work-from-home and vacation policies, all in a beautiful newly renovated office in historic Old Montreal. Add to that plenty of coffee and tea, fresh fruit, lots of greenery, and quiet areas, and you'll find yourself free to focus and do your best work.