CTOs on the Move

Alltek Vision

www.alltekvision.com

 
Alltek Vision is a Rowland Heights, CA-based company in the Computers and Electronics sector.
  • Number of Employees: 25-100
  • Annual Revenue: $1-10 Million
  • www.alltekvision.com
  • 19575 E Walnut Dr S Unit c13
    Rowland Heights, CA USA 91748
  • Phone: 909.598.6208

Executives

Name Title Contact Details

Similar Companies

Jasper PIM

The leading Product Information Management (PIM) solution to accelerate your online business. Increase sales & cut costs with powerful automation capability. PIM: Master products and syndicate through multiple distribution channels with the Jasper PIM. A central set of product data to manage, decorate and automate the feed of eCommerce websites, print catalogs, ERP systems and trading partners. Speed time to market, optimize merchandising, scale for growth, build brand equity and ensure absolute product accuracy across all channels. Coordinate automated communication among e-commerce related business systems, including ERP, EDI, POS, DAM, fulfillment and eCommerce channels with the Jasper PIM. Ensure compatibility and harmony between best-of-breed solutions without the need to start from scratch. Jasper builds bridges and creates rules to make your systems work in unison. We serve the Canadian, US and International markets. We`d love to hear from you and discuss how we can help!

Atlantis Computing

Atlantis Computing is a software company that optimizes how storage is consumed in virtualized datacenters. Our award-winning solutions enable our customers to cut the amount of storage used by each virtual machine (VM), while boosting application performance and delivering increased storage flexibility in the datacenter. We offer 100% software solutions that work with any enterprise storage, any server, and any hypervisor. We help build virtual storage environments that are simpler, faster, cheaper, and easier to manage—delivering dramatic ROI. Our solutions offer comprehensive optimizations for virtual workloads such as databases, Microsoft Exchange, Big Data, test & development, line-of-business applications, virtual Citrix XenApp implementations, and virtual desktop deployments.

Spreedly

Build best-in-market payment systems by connecting to any payment service. Enable, optimize, and analyze online revenue with Spreedly`s flexible payments platform. Connecting to multiple payment services, known as payment orchestration, is the new standard. Building and maintaining custom payment integrations is slow and expensive. Our PCI compliant solution lets you connect once and stay ahead of your payments strategy.

Cylindo

Cylindo is the fastest growing 3D product visualization platform. Trusted by global furniture retailers and brands, Cylindo`s platform provides photo-realistic visuals and tools to engage and convert audiences across channels. Our proprietary and automated rendering technology transforms simple data and images into 4K photorealistic imagery while also supporting unlimited variations of products.

Lattice

Lattice is a data intelligence company transforming “Dark Data”, such as unstructured text, into high quality structured data for use by traditional data analysis tools. Lattice was founded by Chris Re (Stanford, MacArthur Genius Award winner) and Mike Cafarella (co-creator of Hadoop). Lattice is commercializing DeepDive, which was developed at Stanford by our founder Chris Re for over 6 years with $20M in funding from DARPA and others. Our product has already been successfully deployed in the fight against human trafficking (as featured on CBS News 60 Minutes) as part of the DARPA/Memex project. Our platform reads unstructured media and converts it into structured data that can be used by traditional data analysis tools. We use advanced machine learning techniques, coupled with a rigorous engineering approach, to outperform human readers in many fields including scientific, insurance and government applications. We’re hiring! Please check out our engineering jobs at https://jobs.lever.co/lattice to learn more. We are looking for people excited to learn more about machine learning, be part of the initial team in a startup environment and wanting to work hard to solve really interesting and important real world problems.