MindCraft.ai
Data ML Infrastructure
MindCraft.ai develops full-cycle AI systems — from generative AI and LLM solutions to computer vision and anomaly detection — for data-driven businesses.
About
MindCraft.ai builds production-ready AI systems for data-driven businesses, with a team of Ph.D.-level Data Scientists and AI Engineers backed by 20+ years of engineering experience. Founded in 2017, they specialize in the full spectrum of AI development: generative AI, LLM and NLP solutions, AI agents with RAG, machine learning, deep learning, reinforcement learning, computer vision, anomaly detection, and recommender systems.
With 50+ completed projects across banking, retail, real estate, e-commerce, marketing, and hospitality — including Fortune 500 clients — MindCraft.ai operates as a trusted technical partner from Proof of Concept through to full deployment. Their team of 10–49 includes certified Data Scientists and Ph.D. holders in Engineering and Applied Mathematics, working in English, Ukrainian, and French.
What They Do
Generative AI Solutions — building production-grade generative AI applications, including LLM, LMM, and NLP solutions tailored to client data and workflows.
AI Agents & RAG — designing and deploying AI agents with retrieval-augmented generation for enterprise knowledge and decision-support use cases.
Machine Learning & Deep Learning — developing custom ML, DL, and reinforcement learning models, including sales forecasting, predictive analytics, and anomaly detection systems.
Computer Vision — building object recognition and tracking systems, POI extraction from street cameras, and selective visual detection pipelines.
Recommender Systems — developing personalization and recommendation engines tailored to client data.
Data Engineering & Big Data — architecting data pipelines and big data infrastructure to support AI model training and production deployment.
Data Science R&D & AI Consulting — offering Proof of Concept development, ML model integration, and AI consulting to help clients validate feasibility before committing to full builds.
Services & Tech Stack
- Custom AI App Building
- RAG Pipeline Development
- Custom LLM Fine Tuning
- AI Proof of Concept
- ML Pipeline Development
Is This a Fit?
Data-driven businesses — from startups to Fortune 500 enterprises — that need custom AI models, LLM solutions, or computer vision systems built and deployed by Ph.D.-level AI engineers.
Companies seeking off-the-shelf AI tool integration or no-code automation without custom model development; also not suited for buyers with budgets below $5,000.
Ideal Client
A CTO, Head of Data, or VP Engineering at a mid-market or enterprise company in banking, retail, automotive, or e-commerce who needs a technical AI partner to build and deploy production-ready ML or generative AI systems.
Track Record
Founded in 2017, MindCraft.ai has delivered 50+ AI projects across banking, retail, automotive, and e-commerce, including Fortune 500 clients. The team of 10–49 includes certified Data Scientists and Ph.D. holders in Engineering and Applied Mathematics, with 20+ years of combined software engineering experience.
Common Outcomes
- Automated document classification for a retail bank, replacing manual sorting across printed, handwritten, and mixed document types
- Sales forecasting tool for an automotive client that analyzes time series data and predicts buying behavior to improve Business Intelligence
- Predictive analytics tool reducing employee data evaluation time to one-fifth of manual MS Excel effort
- AI-powered POI extraction from street cameras, enabling automated map enrichment with speed limit signs and real-world markers
Use Cases
Case Studies
Automated Document Classifier Solution For Banking
Financial ServicesChallenge
A retail bank needed to classify an input queue of scanned and camera-captured documents by type before OCR processing and storage.
Solution
MindCraft built an automated document classification system capable of distinguishing printed, handwritten, and mixed-type documents.
AI Document Recognition Software for FinTech
Financial ServicesChallenge
A banking client needed to automate document capture and recognition across varied content types including handwritten text, fields, and tables.
Solution
MindCraft deployed an AI Document Recognition system capable of processing documents across any domain and content format.
Machine Learning-Based Sales Forecasting Tool for Automotive
AutomotiveChallenge
An automotive industry client needed a solution to analyze sales time series data and predict buying behavior.
Solution
MindCraft developed a Python-based ML solution that analyzes Sales Time Series data, predicts buying behavior, and enhances Business Intelligence in Retail.
Predictive Sales Analytics Tool for Special Offers Evaluation
Retail EcommerceChallenge
A B2B/B2C retail client relied on manual MS Excel and accounting software processes for sales evaluation, consuming significant employee time.
Solution
MindCraft built a predictive sales analytics tool that reduces evaluation time to one-fifth of manual effort and supports faster marketing decisions.
Collecting POI from Cameras Using AI
AutomotiveMindCraft built an AI engine that collects points of interest — such as speed limit signs — directly from street cameras and places them on maps using machine learning.
Computer Vision Selective Object Recognition
ManufacturingMindCraft developed a selective object recognition system using IP-based surveillance cameras, capable of identifying individuals with specific visual characteristics within monitored areas.
At a Glance
Founded
2017
Team Size
11 – 50Typical Budget
$5,000–$49,999
Timeline
Proof of Concept validation in approximately one week; full AI model development and integration timelines vary by project complexity.
Delivery
RemoteEngagement
Project BasedPricing
$50 - $99Client Tier
StartupEnterpriseRegions Served
Northern AmericaLanguages
EnglishUkrainianFrench
Focus Areas
Industries
Specialties
Verticals
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| Signal | |||
|---|---|---|---|
| Category | Data ML Infrastructure | Data ML Infrastructure | Data ML Infrastructure |
| Location | Not listed | Vilnius, Lithuania | Ahmedabad, India |
| Team Size | Not listed | Not listed | Not listed |
| Client Tier | Startup | Startup | Startup |
| Delivery Model | Remote | Remote | Remote |
| Typical Budget | $5,000 – $49,999 | $50,000 – $199,999 | $5,000 – $49,999 |
| Services | Custom AI App BuildingRAG Pipeline DevelopmentCustom LLM Fine Tuning+2 | Custom AI App BuildingRAG Pipeline DevelopmentCustom LLM Fine Tuning+2 | Custom AI App BuildingAI MVP DevelopmentAutonomous AI Agents+2 |
| Tech Stack | Not listed | OpenAI APILangChainHugging Face Transformers | OpenAI APIAWS BedrockAzure OpenAI Service+2 |