Transformative thinking. Proactive insights. Tangible results.
Idiom provides both strategic and technical consultation services that let your business tap into domain specific insights and knowledge gained from top institutions across academia and industry.
Whether it's developing a new deep learning pipeline that integrates into your existing product or imagining a new solution given a business insight particular to your users needs, our proven engineering talent connected to you by effective communication channels will give you confidence through production-ready software deliverables and useful insights throughout the entire design process.
Idiom exists to provide a middleground solution that bridges the gap between pre built enterprise tools that are too generic and in house machine learning teams that are too slow and costly -- empowering mid size businesses with resources to take advantage of the latest state of the art software tools like deep learning and artificial intelligence.
Stop wasting your money on one-size-fits-all enterprise services. Plug and Play APIs are often either too specific or too generic to make a real impact towards your product's key performance indicators.
Hiring and vetting a team of in house engineers sometimes isn't the right move. Feasability scoping, prototyping, and market validation are costly endeavors that could be a risky investment if you're looking to develop a new solution under a deadline without an experienced management team that knows the industry and capabilities of existing technologies.
With years of experience in developing quality software, Idiom lets you tap in to leading technology tools and helps you develop end to end solutions that scale with your business as it grows.
Our 5-D Design process consists of leading design thinking methodologies applied to solve your unique business need.
Explore the end user's goals and motivations to seek to understand the scope to the deepest level.
Narrow down the problem and summarize the challenges and pain points we are solving -- define the objectives that move you and your users or clients.
Draft a proposal through a process of diverging and converging to explore every possible idea, prioritizing the solution that works best for you.
Create API definitions that model the solution, and Inputs/Outputs that allow initial implementations to be made and tested. Rapid prototyping that maximizes testability and modular software design that enables scalability.
Test solution and evolve the implementation to further improve performance on key metrics that matter the most to your business.
Founder & Technology Lead
Jessie Salas is an industry proven machine learning software engineer and startup founder in Silicon Valley California. He studied at The University of California, Berkeley, where he also went on to teach Data Science & The Mind (CogSci 88), and has amassed research experience with publications at the Berkeley Institute For Data Science, Berkeley Language and Cognition Lab, and the Center for Information Technology Research in the Interest of Society (CITRIS).
After Berkeley, he worked at Apple as a data scientist in the Applied Machine Learning department, where he worked on natural language processing projects. As a consultant he helps international companies scale by applying the latest machine learning from industry and academia.