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Most AI agent projects stall after the proof-of-concept. Velebit AI’s senior
engineers build agents that work inside your systems, data and workflows
Velebit AI builds and deploys custom agents that handle multi-step work across
your existing systems, without locking you into a platform you don’t own
AI agents that continuously gather, synthesize and deliver structured intelligence from external sources, internal knowledge bases and connected systems
Market and competitor monitoring
Automated report generation
Knowledge base Q&A
News digest & trend detection
Custom AI agents that execute multi-step workflows across your systems, combining automation, business logic, and human decision checkpoints where needed
Document processing & extraction
CRM & ERP data entry automation
Cross-system workflow orchestration
Approval and escalation pipelines
Intelligent agents that handle customer interactions across channels – with full context awareness, brand voice compliance and seamless escalation to your team
Support & resolution agents
Onboarding & product guidance
Personalized recommendation agents
Multilingual conversation agents
Agents that monitor your data in real time, detect anomalies, generate insights and push alerts to the right people automatically
Automatic data visualization
Prompt engineering
ChatGPT & GPT-4 fine tuning
Knowledge base search
Coordinated networks of specialized AI agents designed to solve complex business problems through distributed reasoning, orchestration, and dynamic task routing
Agent orchestration & routing
Parallel sub-task execution
Dynamic tool selection
Supervisor agent coordination
AI agents built to extract, structure, qualify and integrate information across documents, web sources and business systems
Lead enrichment & scoring
Intelligent data extraction
Personalized outreach workflows
Competitive intelligence alerts
AI agents create value when they can execute work reliably, operate inside existing systems
and remain maintainable as business requirements change
Multi-step AI agents that plan, use tools and complete different tasks across systems
Full ownership of your AI stack, infrastructure and data, without vendor lock-in
Custom AI agents that adapt to new workflows and business requirements
Human-in-the-loop control for reviewing decisions, outputs and edge cases
Production ready AI agents engineered for reliability and maintainability
Each industry has unique workflows, data types and compliance requirements.
We build custom AI agents that fit the operational reality of your domain.
AI agents for loan processing, anomaly detection, risk analysis, compliance workflows and high volume document handling
AI agents that support product discovery, customer operations, catalog workflows, recommendation logic and inventory intelligence
AI agents for clinical documentation, patient workflows, medical research synthesis and healthcare data processing
AI agents that coordinate research, campaign execution, content operations, reporting workflows and cross-channel distribution
AI agents for prospect research, lead qualification, CRM hygiene, outreach preparation and pipeline intelligence
Complex workflow spanning multiple systems or proprietary logic? We design fully custom AI agents for enterprise environments
What teams around the world say about working with us
Velebit AI has developed our whole data engineering infrastructure and deployed the AI models needed on a large scale for our classified ads business. The team excels at timeline and budget management, and they offer great communication. Velebit AI’s accuracy is impressive; they deliver what they promise.
Igor Sobota, CEO @ Njuškalo
Photomath worked with Velebit AI to support our computer vision domain, and they provided us with a lot of value along the way. Professional, deep technical knowledge, innovative solutions, always available to answer any questions, and ultimately delivered strong results on time. It was a pleasure to work with their team.
Marko Velić, Director of Engineering @ Photomath (now Google)
I was impressed by how enthusiastic Velebit AI was about data science. They read scientific papers because they were so eager to learn. I’d recommend them for any advanced task related to NLP, deep learning, and similar data science models and AI in general.
Ana Meštrović, Professor @ University of Rijeka
The workflow between our team and Velebit AI was seamless. The code quality, application performance and documentation were all excellent. There are many options on the market, but Velebit AI truly has immense experience and expertise in machine learning and AI.
Akshay Goel, Founder & CEO @ RADlearn.aiA rigorous, research-backed process that ensures your agent
works in the real world and not just in a demo
We don’t start building until we’ve confirmed the workflow has measurable business value and the data exists to support it.
We design the reasoning logic, tool access, memory behaviour, escalation paths and integration strategy required for your use case
We connect systems, structure the data the agent depends on, build custom tooling where needed and configure how the agent retrieves and uses information
Agents are tested against realistic workloads, edge cases, latency constraints, failure scenarios and operational requirements before deployment decisions are made
Deployment can happen in your cloud, infrastructure or hybrid setup. Monitoring, logging and runtime visibility are configured as part of the delivery
We support monitoring, maintenance and iteration after deployment. Teams that want to manage agents internally can receive technical guidance, documentation and hands-on knowledge transfer
Senior AI engineers building custom AI agents for complex business workflows,
production deployment and full ownership
Deep roots in ML research, NLP, computer vision, and LLMs – we’ve been in production AI long before it was popular.
From architecture and training to deployment and monitoring. No hand-offs, no gaps – one team owns the full stack.
Augment your team or let us run the entire engagement. We adapt to your structure, timelines, and budget.
We track and benchmark the latest LLM agent architectures, evaluation frameworks, and tooling.
No plug-and-play platforms. Every agent is built for your specific constraints, data, and integration landscape.
We stay engaged after launch – monitoring performance, refining behaviour, and scaling as your business grows.
An AI agent is software that can reason, make decisions, use external tools, and complete multi-step tasks with minimal human intervention. Unlike a traditional chatbot that simply answers questions, an AI agent can retrieve information, interact with your business systems, automate workflows, and execute actions to help your team work more efficiently.
A chatbot is primarily designed to answer questions and hold conversations. An AI agent goes much further; it can plan tasks, access external tools, retrieve data from multiple sources, make decisions based on predefined rules, and complete multi-step workflows. If your goal is to automate business processes rather than simply answer questions, an AI agent is often the better solution.
We develop custom AI agents tailored to your business processes, including customer support agents, internal knowledge assistants, document processing agents, workflow automation agents, research assistants, sales and CRM assistants, and AI agents that integrate with your existing software and APIs. Every agent is designed around your business goals rather than a generic template.
Yes. Our AI agents are built to integrate with your existing tools, databases, APIs, CRMs, ERPs, internal knowledge bases, and business applications. Rather than replacing your current software, they extend it by automating repetitive tasks and connecting information across systems.
If you’re still exploring how AI agents could create value for your business, the Agentic AI for Business Transformation Workshop is the ideal starting point. Together, we’ll identify high-impact use cases, assess technical feasibility, and define a clear implementation roadmap. If you already have a validated use case and are ready to build, we can move directly into custom AI agent development. We’ll recommend the best approach based on your business goals, existing systems, and AI maturity.
Yes. We build AI agents using the language model that best fits your requirements, whether that’s GPT, Claude, Gemini, open-source models, or a hybrid approach. The language model is only one component, but the real value comes from designing an agent that can reason, use tools, retrieve business data, and reliably complete tasks within your workflows.
The timeline depends on the complexity of the agent, required integrations, and business workflows. Simple AI agents can often be delivered within a few weeks, while enterprise AI agents with multiple integrations and advanced workflows typically require a longer implementation. After understanding your requirements, we’ll provide a realistic timeline and delivery plan.
We support the entire AI lifecycle; from AI consultancy and solution design to custom AI development, AI agent implementation, deployment, and ongoing optimization. If an AI agent isn’t the best solution for your business challenge, we’ll recommend a more suitable approach.
