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
A 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.