Velebit AI
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About
Velebit AI is an artificial intelligence solution provider that specializes in building machine learning systems for real-world business challenges. Operating as both a product studio and a technical consultancy, the company focuses on delivering production-ready models that integrate into existing tech stacks. Their expertise spans various machine learning domains, including computer vision, natural language processing, and advanced data engineering, ensuring that businesses can move from initial project strategy to full-scale model deployment with technical confidence. For ecommerce and online marketplaces, the platform offers specific tools designed to automate the management of large product catalogs. Key features include the Color Detection and Fabric Pattern Detection APIs, which extract visual attributes from images to improve search and discovery. Additionally, they provide categorization engines and duplicate detection systems to maintain catalog health. These products are designed for rapid integration via JSON REST APIs, though the team also offers fine-tuning services to adapt these models to a client's specific inventory and data quality. The custom AI project track is ideal for organizations in specialized fields like biotechnology, healthcare, and automotive that require bespoke solutions. Utilizing a Time and Materials pricing model, Velebit AI provides the flexibility necessary for research-heavy projects where requirements may evolve. Clients work directly with experienced machine learning engineers and data scientists, gaining access to the agency’s internal computing hardware at no additional cost. This collaborative approach focuses on uncovering actionable insights and developing scalable systems that address unique niche problems. What differentiates Velebit AI from other agencies is their commitment to technical depth and sustainable quality. As a member of the Nvidia Inception program, the team maintains a high level of academic engagement, often applying the latest scientific research to solve practical engineering hurdles. Rather than offering generic software, they focus on building high-performance systems tailored to each client’s unique business challenge. This philosophy of quality over quantity ensures that every project receives thorough documentation, expert guidance, and a solution built for long-term production stability.
Pros & Cons
Offers 100 free API calls for testing services like Color Detection
Access to in-house hardware is provided at no extra charge for clients
Supports a wide range of industries from ecommerce to biotech
Team has over 10 years of experience in AI and ML development
Uses a flexible Time and Materials model for custom project development
Pricing for most products is not transparent and requires a custom quote
Deployment of ready-made models can still take days or weeks for fine-tuning
The Time and Materials contract model may lead to unpredictable total costs
Limited public documentation is available for specialized products like Babbly
Use Cases
Online marketplace managers can automate the tagging of user-generated content to improve search accuracy and category organization.
Ecommerce brands can utilize visual search to allow customers to find products using photos instead of text keywords.
Content moderators can use duplicate detection tools to automatically identify and remove redundant images from large catalogs.
Biotechnology firms can partner with the consultancy team to develop bespoke machine learning models for complex research data.
Platform
Features
• visual search
• recommender systems
• product categorization
• duplicate image detection
• ml consultancy
• chat-to-search
• fabric pattern detection
• automated color detection
FAQs
What industries does Velebit AI serve?
The company has experience across more than eight industries, including online marketplaces, biotechnology, healthcare, and automotive. Their solutions are adaptable to diverse business challenges, from content moderation to private banking.
How are custom AI projects priced?
Custom projects use a Time and Materials model to provide flexibility as requirements evolve throughout the project lifecycle. Clients pay for actual work completed, with detailed proposals and milestones provided after an initial consultation.
Can I test the product tagging APIs before purchasing?
Yes, users can sign up to receive 100 free API calls to test features like the Color Detection API. This allows for immediate integration testing via a JSON REST API before committing to a paid plan.
Does Velebit AI help with data management?
Their data and ML engineering services assist teams in moving from initial data collection to production deployment. This includes assessing data quality and performing necessary cleaning or annotation to ensure high model performance.
What infrastructure is used for heavy AI tasks?
Velebit AI offers access to their in-house hardware at no additional charge for clients. For exceptionally resource-heavy projects, they can also help set up or manage additional computing infrastructure as needed.
Pricing Plans
Custom AI Project
Unknown Price• Time and Materials contract
• Research and development
• In-house hardware access
• Custom model fine-tuning
• Data management assistance
Color Detection Trial
Free Plan• 100 free API calls
• Automatic color detection
• JSON REST API access
• Scalable image processing
Job Opportunities
Junior/Mid AI Engineer
Improve product discovery and automate catalog management for large-scale marketplaces with AI-powered tagging, visual search, and duplicate image detection.
Benefits:
Hybrid work
Internal research discussions
Mentorship and detailed feedback
Flexible working hours
Permanent contract
Experience Requirements:
Minimum 1 year professional Python experience
LLM integration experience
Proficiency in Numpy, Pandas, and Scikit-learn
Knowledge of Docker and SQL databases
Experience with Linux and cloud deployment
Other Requirements:
Advanced English and Croatian language skills
Business value-oriented mindset
Strong analytical and critical thinking skills
Excellence in self-organization and prioritization
Strong communication and presentation skills
Responsibilities:
Client communication and requirement structuring
Development of agent systems
Prompt engineering
Service development for LLM and embedding models
Data preparation, processing, and analysis
Show more details
Junior/Mid Backend Engineer
Improve product discovery and automate catalog management for large-scale marketplaces with AI-powered tagging, visual search, and duplicate image detection.
Benefits:
Hybrid work
Internal research discussions
Mentorship and detailed feedback
Flexible working hours
Permanent contract
Experience Requirements:
Minimum 1 year professional Python experience
Knowledge of Docker and SQL databases
Experience with FastAPI, Falcon, or Flask
Experience with Linux and cloud deployment
LLM integration experience
Other Requirements:
Advanced English and Croatian language skills
Business value-oriented mindset
Knowledge of frontend technologies (HTML, CSS, JS)
Strong analytical and critical thinking skills
Ability to work independently and in a team
Responsibilities:
Client communication and requirement structuring
Development of agent systems
Service development for LLM and embedding models
API service development for model serving
Utilization of Azure and Google Cloud platforms
Show more details
Ratings & Reviews
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