All videos
0:00 / 0:00
research

Meet the MIT Spinout Making Private AI Possible for Any Enterprise. Research to Reality: Systalyze

MIT CSAIL16 June 2026Watch on YouTube

What you'll learn

  • Systalyze is an MIT spinout making enterprise AI implementation more cost-effective and accessible by reducing deployment costs.
  • Enterprise AI implementation is currently challenging because implementation costs are unclear, deployment is complex, and outcomes are uncertain.
  • The company focuses on increasing company ROI by lowering the barriers to AI adoption for organizations.

Frequently asked questions

What is Systalyze and who is behind it?
Systalyze is an MIT spinout led by Manya Ghobadi, MIT CSAIL Associate Professor. The company focuses on making enterprise AI implementation more accessible and cost-effective.
What challenges does Systalyze aim to solve in enterprise AI?
Systalyze focuses on clarifying and reducing implementation costs, simplifying deployment, and enabling private AI systems for organizations.
How does Systalyze help companies with their AI investment?
The company increases company ROI by clarifying implementation costs, maximizing efficiency, and enabling the use of private AI systems.
Why is enterprise AI currently difficult to implement?
Implementation costs are unclear, deployment is complex, and outcomes are uncertain, making it difficult for organizations to justify the necessary investments.

Topics

enterprise-aiai-deploymentspinoutprivate-aiai-applications

Read next

Description from the channel

Why is enterprise AI still so hard to implement? Manya Ghobadi, MIT CSAIL Associate Professor and co-founder of Systalyze, explains how her team is making AI deployment faster, clearer, and actually cost-effective. With the massive potential of AI agents, the pressure on companies to incorporate AI into their workflows has never been higher. However, it can be increasingly challenging for organizations to leverage AI. Implementation cost is unclear, deployment complex, and outcomes uncertain, making it difficult to scope out and justify the necessary investment. Systalyze aims to lower the barrier to entry by cutting and clarifying the costs of AI deployment, maximizing efficiency, and making it possible for any enterprise to create and use private AI systems. Manya Ghobadi, CEO and founder of Systalyze, breaks down how her team is tackling some of the biggest challenges in modern AI, increasing company ROI for these groundbreaking tools, and working with CSAIL Alliances to push the boundary of AI in industry. #AI #ArtificialIntelligence #EnterpriseAI #AIAgents #AIStartup #AIinBusiness #DigitalTransformation #MIT #MITCSAIL #DeepTech #AgenticAI