Agentic AI Systems
We design and deploy AI agents that automate real business workflows.
- Multi-step reasoning systems
- AI workflow orchestration
- Secure enterprise deployment
- Governance & audit models
- Human-in-the-loop systems
We build AI systems that reason, decide, and act
We design & build agentic AI systems that automate complex operations and deliver measurable ROI.
Services
AI Knowledge & Document Automation (RAG)
Intelligent systems for document-centric operations:
- Internal AI knowledge assistants
- Contract and report generation
- Compliance validation
- Document comparison and review
- Structured data extraction
Ideal for regulated and high-document industries.
AI Consulting & Advisory
We blend strategy, economics, and advanced LLM technologies to help organizations achieve:
- Operational scalability
- High ROI on AI investments
- Efficient AI adoption roadmaps
We address short-term gains while building a long-term transformation strategy.
AI-Native Software Engineering
We deliver software through an AI-native, generation-first engineering approach.
- Transform low-code MVPs and PoCs into scalable products
- Structured AI-assisted code generation & refactoring
- Automated test creation & continuous quality validation
- AI-integrated product architecture & design
- Intelligent documentation generation
- Cloud-native infrastructure (Azure, AWS, Hybrid)
How We Work
-
We analyze workflows, data structures, and operational bottlenecks to identify high-impact AI use cases aligned with clear business value and measurable ROI.
AI-Native Engineering Culture
CodeTiburon is an AI-native engineering organization. We design, build, and evolve systems in a generation-first development model.
AI-Assisted Software Architecture
- Architecture design with AI coding copilots
- Continuous architectural validation and change tracking
Structured Code Generation
AI produces predictable, standardized code structures.
Automated Test Creation
Tests generated alongside implementation.
Intelligent Refactoring
Automated code review performed by background AI agents.
AI-Supported Documentation
Documentation evolves with the system.
Engineers Focus On
- System design
- Business logic
- Performance & security
- Strategic technical decisions
“AI handles repetition. Engineers handle thinking.”
What This Means for Clients
AI-native engineering directly improves delivery, cost, and long-term scalability.
Faster Delivery Cycles
Ship features sooner with AI-assisted implementation and validation.
Higher Codebase Consistency
Standardized generation patterns keep structure and quality uniform.
Reduced Technical Debt
Continuous refactoring and test coverage prevent long-term code decay.
Lower Cost per Feature
Less repetitive engineering work means better output per budget dollar.
Industry Expertise
Recruitment & Workforce Operations
- Recruitment ERPs and ATS workflow automation
- AI-powered CV parsing and candidate pre-screening
- Secure candidate data, documents, and compliance flows
- Workforce scheduling, time tracking, and reporting
Asset & Wealth Management
- Multi-asset portfolio tracking across property, investments, and cash
- Real-time net worth and valuation monitoring
- Secure financial data aggregation and reporting
- Custom analytics for portfolio performance
Sports Media & Publishing
- High-load sports publishing platforms and live coverage pages
- Large-scale content migration and taxonomy restructuring
- Editorial workflow automation for distributed teams
- Real-time content updates, performance, and reliability
Success Stories
View Full PortfolioBuilding Production Infrastructure for an AI Agent Engineering Platform
- AI-Native Software Engineering
- Agentic AI Systems
We helped an AI infrastructure startup strengthen its production-grade agent engineering platform — focusing on distributed backend systems, evaluation pipelines, workflow orchestration, API design, observability, CI/CD quality gates, and cloud-native reliability.
View case
The Sporting News: Multinational Online Sports Magazine
- Software Development
How we rebuilt a 130-year-old sports publishing icon as a modern headless CMS platform — migrating 1M+ articles with zero downtime and launching five new language editions in a single year.
View case
MyAssets: Portfolio Organizer for Individuals, Groups, and Businesses
- Software Development
CodeTiburon partnered with a Family Office to build MyAssets Platform — an analogue-free, fully integrated wealth management solution for high net worth individuals. The platform replaces fragmented single-class asset trackers with one unified view across financial assets, real estate, collectables, and personal belongings — so clients always know their true net worth at a glance.
View case
About CodeTiburon
Founded in 2009, CodeTiburon is an AI-focused software engineering company.
- 17+ years on the market
- 50+ engineers
- 200+ projects delivered
- European distributed teams
We combine deep technical expertise with business and economic understanding to build systems that create real operational impact.
Insights
Read Our Blog
Startups
Five Business Model Patterns for Online Enterprise
If you’re reading this, you probably belong to a generation that chooses to write their business plans on a napkin over a friendly coffee chat and implement them overnight. Oops! Another fail? In between the pivoting and desperate quest for the novel, sit quietly and ponder. It’s already there. Just look closely and you’ll see the emerging patterns in the turbulent world of business.
Startups
How to Create an Applicant Tracking System and Improve Your Recruitment Process
Most businesses can’t decide when getting an applicant tracking system is unavoidable. But in fact, if any of these ring true, the time is ripe: your business is growing; you have a high rate of employee turnover; you continue hiring during pandemics and social distancing; you’ve exhausted your HR staff (or you don’t have enough HR staff); you are having trouble tracking and reporting HR and legal compliance. In this article, we’ll share our experience of building applicant tracking software and give general guidance on the topic.
Startups
How Artificial Intelligence is Changing HR Industry
Machine learning is the hottest topic right now, and every industry out there is now on the hunt for new ways of using ML for their own benefits. Today we are going to talk about how machine learning can be applied to an area of human resources and how it revolutionizes it.
