Faster operations
Redesign document, intake, and back-office workflows to reduce delays and manual handoffs.
Custom AI solutions for enterprise companies
THE APPROACH
We study the process, data, and people behind a business problem. Together, we define a measurable outcome and build the right solution for your environment.
Map the workflow, owners, systems, and constraints.
Test the use case against value, feasibility, and risk.
Build into existing systems with permissions, oversight, and clear measures of success.
SOLUTIONS
Redesign document, intake, and back-office workflows to reduce delays and manual handoffs.
Connect fragmented information so teams can find reliable answers and act on them.
Surface sales and service signals so teams can respond at the right moment, with the right context.
BUILT FOR YOUR BUSINESS
Solaeris works with the systems you have and the access rules your teams already follow.
Bring relevant sources into one working context.
Keep answers within each user's access.
Choose where data and models run.
For a Los Angeles medical practice
Evidence-grounded clinical decision support, embedded in the EHR. Approximately 90% lower AI processing costs in comparative testing.
Read case studyFor a Mid‑Sized Software Agency
Private AI makes documented project experience searchable, helping teams research past work and prepare stronger proposals.
Read case studyFor a large regional law firm
A firm’s case history becomes searchable knowledge, cited research, and source-grounded drafts that return thousands of hours to legal work.
Read case studyPerspectives on AI, the people behind it,
and the things that move us forward.
Arthur Iinuma joined longtime client Red Bull for a charity tennis event supporting spinal cord injury research.
Conversational AI, prompt engineering, RAG, or fine-tuning? Choose the approach that turns existing intelligence into measurable business value.
How a 2022 Mac Studio and an open-weight model processed 9,000 client documents locally over 73 hours.
Art designs and ships production AI systems for forward‑looking companies — agentic sales assistants, data‑intelligence platforms, and customer‑facing AI now running in manufacturing, healthcare, software, and fintech. Art holds a certificate on Artificial Intelligence: Implications for Business Strategy from the MIT Sloan School of Management. He has published research in token ecosystems, is an inventor of two US patents, has guest lectured at the University of California, and is a contributing writer for several technology publications. He is also a passionate investor in both early and late-stage technology companies.