HOW WE WORK
OUR PROCESS
DISCOVER
With a focus on the highest ROI use cases, we dive into your organization, goals, and data and help you de/refine the problem.
DEVELOP
We leverage and protect your IP by customizing open-source solutions, developing APIs to unify data for your AI and LLM solutions.
DEPLOY YOUR AI
We collaborate with your team to deploy models into production, ensuring ongoing maintenance is efficient, cost-effective, and minimally disruptive to operations.
EXPERTISE YOU CAN COUNT ON
YOUR DELIVERY TEAM
Batman has Robin. Sherlock Holmes has Dr. Watson. You have Rotational.
Our mission is to help organizations build and deploy new enterprise capabilities with generative AI and machine learning. We help companies leverage their domain expertise and data to build custom LLMs, applications, and AI systems for business impact with the goal of maximizing ROI, controlling costs, and prioritizing trust.
- +25
- SATISFIED CLIENTS
- 50 YRS
- COLLECTIVE EXPERIENCE
- 5
- INDUSTRY VERTICALS
OUR PHILOSOPHY
HUMAN-IN-THE-LOOP
We believe AI should enhance human workflows by automating repetitive, routine tasks, especially those prone to inconsistent outcomes. This allows humans to focus on high-value creative work. Our AI solutions prioritize trust and explainability, ensuring transparency and reliability in decision-making processes.
CLIENT FEEDBACK
TESTIMONIALS
Rotational is committed to customer success. We work side-by-side with our clients to deliver on their most important priorities. We strive to “meet clients where they are”. We build for business impact.
OUR PRIORITY
PRIVACY & SECURITY
Rotational is deeply committed to privacy and security. AI offers tremendous potential benefit to humanity, provided it is used properly, and enterprises commit to being good data stewards. To that end, we have committed to the US-EU Data Privacy Framework (DPF) and prioritize privacy and security in all our product and services work.
Thought Leadership
Recent Rotations
Let The Right One In: Model Selection for the AI Era
There’s no “best AI model for all use cases.” You have to do the science each time. If you’re new to experimental design for AI/ML, here’s a quick and dirty intro to the Model Selection Triple methodology.
May 5, 2025
The Underappreciated Art of Capturing Novel Data
While the internet is an endless source of free data, everyone is training on the same tired datasets, and they’ve likely got more years of practice. Building a novel dataset tailored to your problem can be a game-changer (if done right).
Mar 31, 2025
The AI Paradox: Why More Technology Means More Humanity
AI is rapidly transforming the workplace, but don’t be fooled into thinking it’s as simple as replacing workers. If you want to stay ahead of the curve, try a human-centered approach.
Jan 27, 2025
