Convex company logo
Easy-to-use software combined with powerful data to help commercial service businesses win51-200 Employees
  • B2B
  • Growth Stage
    Expanding market presence
  • Top Investors
    This company has received a significant amount of investment from top investors
  • YC Funded
    Startup funded by Y Combinator
Website
Location
Company size
51-200 people
Total raised
$39M
Company type
Enterprise Software CompanySoftware
Markets
SaaSSales and MarketingConstruction
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At Convex (YC W19), we’re building the leading B2B full-stack software platform for the $400bn+ commercial services market. It's a 100-year-old industry impacting millions of people every day. We already work with some of the largest enterprise companies in the sector and were one of the fastest growing companies in the Winter 2019 YC batch. Our team is a unique mix of industry veterans from Carrier, Siemens, and Honeywell as well as founders from MIT, Harvard, and Georgia Tech. Based in San Francisco, our investors include Emergence Capital, 1984 Ventures, UP2398, Liquid2 (Joe Montana), YCombinator, the founders of PlanGrid, and others. Our flagship product, Atlas, supercharges our users’ work by providing them with pre populated information on virtually every commercial property in the country and the software to organize their work. This is a secret weapon for our users who serve these locations; nothing like this is available in the market today (and it shows in our metrics). We are building a “consumer grade” quality enterprise product. We have been design oriented from the beginning and our customers rave about the product’s quality and aesthetics. From an engineering perspective, every commercial property means gargantuan data sets – and demanding performance and architecture requirements for your features to be put through. Geospatial data means using GIS techniques to wrangle datasets – a bit different (and more fun, we think) than your average SQL join. The technologies we use include Swift, Ruby, Postgres, PostGIS, Google Maps, AWS, Angular, Python, and others.

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