catalog organizing

Velebit AI

Improve product discovery and automate catalog management for large-scale marketplaces with AI-powered tagging, visual search, and duplicate image detection.

Paid price not published

Free

Velebit AI screenshot

About Velebit AI

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.

Velebit AI pros & cons

Pros

  • 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

Cons

  • 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

Velebit AI 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.

Velebit AI features

  • visual search
  • recommender systems
  • product categorization
  • duplicate image detection
  • ml consultancy
  • chat-to-search
  • fabric pattern detection
  • automated color detection

Velebit AI pricing

Is Velebit AI free? Yes, Velebit AI has a free plan.

Color Detection Trial

Free

  • 100 free API calls
  • Automatic color detection
  • JSON REST API access
  • Scalable image processing

Custom AI Project

Price varies

  • Time and Materials contract
  • Research and development
  • In-house hardware access
  • Custom model fine-tuning
  • Data management assistance

Velebit AI 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.

Open roles

All AI jobs

Junior/Mid AI Engineer

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

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Junior/Mid Backend Engineer

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

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