About TeamAxiom
Measurable AI adoption for engineering teams
We help software companies understand whether AI tools are improving engineering delivery, quality and cost — and improve the workflows where they are not.
Our Story
Why We Exist
Engineering teams have adopted Cursor, GitHub Copilot, Claude Code and ChatGPT quickly. Measurement has not kept up: many engineering leaders cannot yet say whether those tools are improving delivery, quality or cost.
TeamAxiom exists to close that gap for software, SaaS and digital product companies — organisations that build and ship software every day.
Our Approach
How We Work
We assess current adoption, agree the metrics that matter, improve high-value workflows and then verify whether the changes worked. Leadership alignment, training and usage guidelines are tools we use along the way — not the product itself.
Engineering leaders don't need more AI hype. They need evidence they can act on and report to the business.
Our Edge
What Makes Us Different
Engineering-first
We start from how your teams actually build, review, test and ship software.
Measured
Every recommendation is tied to something observable — delivery, quality, adoption or cost.
Governed
Practical guidance on approved tools, data handling and quality controls is part of the work.
Pragmatic
We prioritise the few workflows where AI can make a measurable difference, not everything at once.
The People
Meet Our Team
Engineers, strategists and AI practitioners working on one problem: making AI measurably useful for engineering teams.
Eduard Kotanjyan
Founder & CEO
Eduard is a software engineer and technical leader with deep experience building high-quality, scalable software. As a Senior Tech Lead, he has built robust architectures and clean codebases across AdTech, SaaS and digital services, working closely with engineering teams on agile delivery.
That experience is why TeamAxiom approaches AI adoption through real engineering workflows — pull requests, code review, testing and delivery — and insists on measuring whether changes actually improve them.
Based between Nice, France and Yerevan, Armenia, Eduard leads TeamAxiom's work with engineering organisations across the UK and Europe.
Core Team
Shushanna Kotanjyan
Operations & Strategy
Eva Aperyan
AI Training & Enablement
Erik Hovhannisyan
Engineering & Development
Marketing & Sales
Lusine Voskanyan
Marketing Lead
Milena Karimyan
Business Development
Vehanush Harutyunyan
Sales & Partnerships
Specialists
Dr. Armen Safaryan
AI & Machine Learning Trainer
Former university lecturer with 10+ years in applied machine learning. Specialises in making complex AI concepts accessible for non-technical teams and executives.
Nare Grigoryan
Workflow Automation Trainer
Process optimisation expert who has helped 30+ companies redesign their operations with AI-powered tools. Certified in Lean Six Sigma and experienced in SaaS product workflows.
Tigran Martirosyan
AI Engineering Trainer
Full-stack engineer turned AI trainer with deep expertise in prompt engineering, LLM integration, and building AI-augmented development pipelines for engineering teams.
Lilit Hovhannisyan
Data & AI Governance Trainer
Data governance specialist with experience in EU regulatory compliance. Helps organisations build responsible AI frameworks, internal policies, and data handling guidelines.
See where your engineering organisation stands.
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