Navigating AI’s ‘Messy Middle’ in 2024

With all due apologies to our future president, Taylor Swift, 2023 was the year of AI. The excitement around generative AI crescendoed, seeing vastly more uptake from a general audience than even AI optimists expected.

Since the release of ChatGPT late last year, everyday experimentation with AI has shifted public opinion from the skeptical “Does this work?” to the declarative “This works.” Now we’re seeing another shift, provoked by regulators, integrators, and, most of all, investors. For organizations hinging their operational strategies on this technology, it’s no longer “This works,” but “This must work.”

In the words of Index Ventures’ Bryan Offutt, we have entered AI’s “messy middle.”

Yet, empires are not formed when new technologies are invented—but when they are industrialized. While the Wright brothers built the first airplane, Curtis, Martin, Lockheed, and others built businesses. Caterpillar did not invent the tractor, but it was the first company to adapt the technology for the needs of its time. In 2024, new empires across industries will emerge, driven by the ability to adapt this now ubiquitous technology to practical purposes at industrial scale. 

At Striveworks, we’re proud to help our users adapt, escalate, and sustain value from their projects coming out of this “AI Big Bang.”

2023 has been a big year for us. We were fortunate and excited to partner with Centana Growth Partners to close our Series A, welcoming Ben Cukier to our board. We released a ton of new features that help our customers disappear machine learning operations (MLOps) so that they can spend more time building and less time repairing and auditing their workflows:

  • an industry-first remediation suite that supports users through fixing models and inferences in production
  • large language model (LLM) support that helps users fine-tune, deploy, and maintain their custom LLMs in production
  • GPU-like power for deep learning models, using standard CPUs, thanks to our partnership with Neural Magic
  • a refreshed user interface that makes it easier to build, train, deploy, monitor, and maintain models with little-to-no code

We forged strong partnerships in 2023, and we added exciting new customers to our platform—so many that we even made the Deloitte Technology Fast 500TM. We’re also proud to have almost doubled our team of Strivers this year, bringing on expert skills in critical areas to help organizations across the public and private sectors make their MLOps disappear. 

Striveworks already has big news on the horizon for 2024. Stay tuned for updates that underscore our commitment to transparency and responsibility as AI moves into its next phase. We’re thankful to have you come on this journey with us. 

Until then, we wish you all a safe and happy holiday season.

Jim Rebesco, CEO

Profile of Jim Rebesco, CEO and co-founder of AI/ML company Striveworks

Jim Rebesco

Dr. Jim Rebesco is CEO and a co-founder of Striveworks. Prior to Striveworks, Dr. Rebesco was instrumental in building Virtu Financial's data science and analytics capabilities, playing a critical role in that firm's IPO in 2015. He has engaged with the Federal Reserve Board, elements within the Department of Defense, the United States Military Academy, and others as a recognized subject matter expert in AI and its applications. He earned his BS in physics from the California Institute of Technology and his PhD in computational neuroscience from Northwestern University.