BeGo
In Mexico and US trucking demand outpaces capacity, yet 40% of the time trucks roll empty. BeGo uses Machine Learning to reduce empty returns, deadheads, and carbon emissions. BeGo is co-founded by two brothers, Jasiel, with 10+ years of experience in the industry, and Ivan, ex-Tesla engineer with experience in product design and machine learning.
Y Combinator
yc-company-directory #4225In Mexico and US trucking demand outpaces capacity, yet 40% of the time trucks roll empty. BeGo uses Machine Learning to reduce empty returns, deadheads, and carbon emissions. BeGo is co-founded by two brothers, Jasiel, with 10+ years of experience in the industry, and Ivan, ex-Tesla engineer with experience in product design and machine learning.
sourceBeGo is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to BeGo
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Osium AI
match 69Our AI-powered software enables materials R&D engineers to design new materials much faster. To date, manufacturing companies rely on trial-and-error and manual approaches to develop new materials. This is a tedious and time-consuming process. Yet, carbon neutrality requirements urge manufacturers to adopt greener and lighter materials to decarbonize the industry.
shared extracted concepts: industry; shared product terms: yet, time, carbon, industry; shared product theme: climate and energy; same category: AI infrastructure; shared affiliation: Y Combinator
MorphoAI
match 60We're building an AI powered platform for engineers that are building new robots and machines. We allow users to invent and modify machine designs in a matter of minutes, not years. Ayna and Andy, the co-founders, met during their time at Harvard and started this in 2024 as their programs were wrapping up. We're commercializing 10+ years research done by our team at Harvard and MIT on this space. Our team wrote the very first papers on applying GenAI and optimization algorithms to compose robots
shared product terms: time, machine, co, 10; same category: AI infrastructure; shared affiliation: Y Combinator
Serial
match 57Serial is software to help manufacturers root cause problems in minutes not days and avoid millions in liabilities. Our solution integrates with data sources from any production line, enabling engineering & operations teams to ask questions about their manufacturing data and instantly get answers. Serial will become the single source of truth for manufacturing data. Our founding team has 10+ years of manufacturing and product design experience from Apple, Tesla, and more. We have suffered this p
shared product terms: found, 10, year, experience; shared affiliation: Y Combinator
NuMind
match 56NuMind is a tool for data scientists, data analysts, but also software engineers to create custom NLP models. For example, a recruiting company uses NuMind to find which job offers best match a given resume. Etienne (CEO) was head of Machine Learning at Wolfram Research, and Samuel (CTO) co-founded Make.org (8M users). NuMind originated from our own frustration when developing NLP models. Leveraging large language models similar to GPT-3, NuMind allows to complete NLP projects at least 10x faste
shared extracted concepts: machine learning; shared product terms: uses, machine, co, found; same category: AI infrastructure; shared affiliation: Y Combinator
Figr
match 47Autopilot for design research. UI/UX designers spend countless hours on research and design. Figr uses AI to build a full-stack co-pilot for end-to-end design work, from research to coding. The team combines Moksh's product design expertise with Chirag's machine learning background.
shared extracted concepts: machine learning; shared product terms: uses, machine, co, design; same category: AI infrastructure
Wren
match 42With Wren, anyone can offset their carbon footprint by supporting credible nature, industry, and policy projects. We also show users how they can reduce their carbon footprint. We make it easy for anyone to turn climate confusion into climate action.
shared extracted concepts: industry; shared product terms: carbon, industry, reduce; shared product theme: climate and energy; shared affiliation: Y Combinator