MindCraft.ai

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MindCraft.ai is an artificial intelligence firm. The small Niepołomice, Poland-based agency was established in 2017. Their services include Artificial Intelligence, Generative AI, AI Consulting, and BI & big data consulting & SI.

Client Insights

Industry Expertise

Information technology

25%

GPS, Navigation & GIS

20%

Financial services

15%

Real estate

15%

eCommerce

15%

Business services

10%

Client Size Distribution

Small Business (<$10M) 55%

Midmarket ($10M - $1B) 35%

Enterprise (>$1B) 10%

Common Project Size

<$10K 3 projects

$10K-$49K 3 projects

$50K-$199K 1 project

Clients

  • Finance & Banking

Highlights from Recent Projects

Overall Rating

4.9
11 Reviews

MindCraft.ai was hired by Intellias, a software engineering company, to test the efficiency of a big data platform and make improvements. MindCraft.ai was chosen for their strong expertise and history of successful data science projects. They provided an independent team of data scientists to identify the platform's weaknesses and suggest improvements. The project was successful, with MindCraft.ai providing detailed reports and recommendations to address usability issues.

MindCraft.ai was also hired by a SaaS company for custom software development. The SaaS company, which provides an all-in-one software solution for solar panel installers, worked with MindCraft.ai on multiple R&D data science projects. These projects were mainly focused on creating 3D models from lidar data. MindCraft.ai developed an automatic roof inclination calculation based on the lidar data, which was positively received by clients. The team then moved on to develop a calculation for the shadow impact on solar panels and are now working on automatic solar panel placement.

A German consulting and software development company specializing in Big Data and AI also engaged MindCraft.ai for AI consulting and development. MindCraft.ai provided consulting services to determine client needs and then proceeded to implement the first solutions. They created mathematical models for software implementation using AWS and Azure. The engagement started with a discovery phase followed by a proof-of-concept stage. The collaboration is ongoing and is now moving forward to the actual product development.

Timeliness

4.9

Service Excellence

4.9

Value

4.8

Would Recommend

4.5

Awards

64576

2023