Uğur İnal, portrait
Uğur İnal
On the corporate side

Teaching the tool is easy. The hard part is saying whether it helps you.

In team training Gizem builds the content; I handle the management questions in the room. Which work does this tool actually shorten, which does it not, and does the time your team spends on it come back — the answer is usually "it depends", and talking through that is part of the training.

  • AI in productionAutonomous agent platforms · since 2022
  • Fjordland GroupCo-founder · interim CFO/CIO · New Zealand
  • Waka ResearchTechnical lead · satellite imagery, robotics
  • National Science ChallengeLand and Water winner (2024)

For over a decade I have worked on financial operations and business development: budgets, models, collections, market entry. Since 2022 I have also been putting large language models into production systems. These are not two separate jobs for me — you only know whether a system works if you can see the numbers behind it.

Today I build platforms where autonomous agents run for vertical industries; I am a co-founder of Fjordland Group in New Zealand and lead technical execution at Waka Research. The examples I use in training come from there: not constructed case studies, but real systems that work — or that were shut down because they did not.

What I have done

What follows is the same as the records in my CV — no exaggeration, no rounded-up numbers.

  1. Founder & CEO

    AI-Native Platforms (Oria, Wobox, HQ)

    2024 – present · Türkiye

    • Building autonomous agent systems that run business operations end to end for vertical industries.
    • Oria: bookings, client communication and itinerary management for travel agencies.
    • Wobox: pricing, advertising and inventory on the e-commerce side.
    • Reusable AI infrastructure: memory systems, agent coordination, shadow mode.

  2. Co-Founder · Interim CFO & CIO

    Fjordland Group

    June 2025 – present · New Zealand

    • Co-founder of the company building New Zealand's first commercial land-based recirculating aquaculture system (RAS).
    • Ran the entire finance function through the Series A round; built the Anchor Round financial model.
    • Owner of the Digital Twin development and technology infrastructure strategy.

  3. Technical Lead

    Waka Research

    2021 – present · New Zealand (remote)

    • Leads execution at an R&D company holding IP in orbital sensing, autonomous systems and AI.
    • Builds a bridge between New Zealand and Türkiye across aquaculture, mining, seismic risk and agriculture.
    • Turns satellite imagery, computer vision and robotics into work applied in the field.

  4. Financial Controller & AI Research Lead

    ImpactMarine

    January 2024 – June 2025 · New Zealand

    • Directed financial operations across an international aquaculture value chain.
    • Embedded reporting automation and data science techniques into financial analysis.
    • Led cross-functional teams spanning HR, IT and data.

  5. Business Development Consultant

    Independent business development

    2014 – present · Istanbul

    • Business development and financial advisory for international clients.
    • Market entry strategy for companies expanding into new markets, particularly New Zealand.
    • Türkiye–New Zealand business relationships and cross-border regulation.

Research and development

  1. Autonomous Financial Analysis Agent

    Independent R&D

    2024 – present

    • Developed an AI agent system for real-time stock and cryptocurrency market analysis.
    • Implemented an algorithmic pipeline with 10+ technical indicators and sentiment analysis.
    • Built an iterative research engine with memory persistence and automated visualisation.

  2. Dataset Democratisation System

    National Science Challenge — New Zealand

    2023

    • Led implementation of LLM-powered semantic search for public dataset accessibility.
    • Built advanced scoring algorithms improving data discoverability.
    • Collaborated with government stakeholders on citizen-facing AI deployment.

What I use day to day

AI systems

  • LLM integration and LLMOps
  • Multi-agent systems
  • Memory and coordination infrastructure

Data and automation

  • Reporting automation
  • Data analytics and business intelligence
  • Statistical analysis and forecasting

Technology strategy

  • Cloud architecture and system integration
  • Financial modelling
  • Cross-border regulation and compliance

Publications and awards

  • Winner, New Zealand National Science Challenge — Land and Water category (2024)
  • Peer-reviewed co-authored paper (Taylor & Francis): democratising access to land and water data with AI — Massey University & AgResearch (2025)
  • Microsoft Startup Founders Hub sponsorship (2025 – present)

What I promise

  • To answer the question your team is actually asking, not read out a prepared deck.
  • To say so during the session if I think a tool will not help your work — I have no licence to push.
  • To take the examples from your own processes rather than run a generic demo.

What I do not promise

  • I do not run the workshops. Gizem runs them and they are all entry level; I only take the management-side questions in corporate sessions.
  • Certification or accreditation. What we deliver is training, not a formal qualification.
Corporate workshops → Write to me