Abto Software

visit site

Abto Software, founded in 2007, is a custom software engineering company headquartered in New York City, with an additional office in Lviv, Ukraine. The company’s team of 208 people specialize in AI, enterprise app modernization, and web development. Their clients are mid-market, small, and enterprise businesses. Most of the businesses they work with are in the IT, health care & medical, and retail industries. 

Client Insights

Industry Expertise

Medical

20%

Retail

15%

Financial services

10%

Information technology

10%

Manufacturing

10%

Consumer products & services

5%

Education

5%

Energy & natural resources

5%

Government

5%

Client Size Distribution

Small Business (<$10M) 30%

Midmarket ($10M - $1B) 50%

Enterprise (>$1B) 20%

Common Project Size

$200K-$999K 4 projects

$10K-$49K 3 projects

$1,000,000-$9,999,999 2 projects

Clients

  • Medikit

Highlights from Recent Projects

Overall Rating

4.9
18 Reviews

Abto Software was engaged by a global nonprofit organization for their software development and consulting services. The company developed a critical solution predominantly used across Asia, Europe, Latin America, and Africa. They have also helped in enhancing the product and provide continual support and maintenance. The engagement, which began in October 2018, is ongoing and has so far seen an investment of around $1,250,000.

The company worked with a gaming enterprise in the development of an AI that can generate 3D humanoid animations. The team at Abto Software, which comprised of six to ten members, researched, designed, and developed an AI framework for this purpose. Additionally, they also designed a website with an intuitive interface for generating the animations.

Abto Software collaborated with a mattress technology company, aiming to utilize Size Stream's 3D SDK to extract specific mattress recommendations based on various unique data points. The team, composed of two to five members, utilized Size Stream's 3D avatar creation tool to extract specific body topographies and estimated surface pressures. The data was run through an algorithm to suggest a level of support and surface comfort for an individual or a blended recommendation for two people.

Timeliness

4.8

Service Excellence

4.9

Value

4.8

Would Recommend

5.0

Awards

123538

2024

64576

2023