"The DACH ambulatory cardiology market is growing at 7.8% CAGR 2026–2030, driven by cross-sector reimbursement."
- Confidence
- ★4 · High
- Sources
- 3 independent · IQVIA, GBA, ZI
- Type
- Estimate · Model-based
- Last check
- 6 days ago
Today, anyone can generate slick research decks with AI. But when real strategic or financial decisions are on the line, "looks convincing" isn't enough. Decision-makers need analyses they can rely on: with transparent assumptions, traceable sources, and clear human accountability behind every claim. That's exactly why we built 3ya.
* Current industry focus, further sectors on request.
Are the numbers right? Are the sources current, independent, and credible? We validate at source level, not at claim level.
What assumptions sit behind each statement? What is fact, what is estimate, what is judgement? Every assumption sits explicitly in the Assumption Register, not between the lines.
Every statement in the report links to an Evidence Card with source, confidence level, methodology, and human sign-off. Down to the original sentence in the PDF.
If a regulation shifts six weeks after delivery, the report updates. Versioning and a change log are part of the product.
Ordinary AI output gives you answers. 3ya adds the evidence behind them, the critical assumptions, and the human review. That's what makes results traceable, reliable, and decision-ready.
The decision-ready analysis
All the relevant findings in one document: concise, reliable, and built for decisions. With clear recommendations instead of open-ended research output.
Traceable evidence cards
Every key statement is backed by an Evidence Card. Source, evidence strength, reviewer and sign-off are directly traceable, down to the original sentence.
How solid the recommendation is
Every recommendation rests on assumptions. The Assumption Register shows which ones are decisive, how strongly they affect the result, and whether the conclusion still holds under changed conditions.
| Assumption | Sens. | Impact |
|---|---|---|
| BfArM reimbursement Q3 | high | high |
| Reimbursement drift | med | high |
| Staff costs +4% | med | med |
| M&A multiples stable | low | med |
AI makes each stage 4–6× faster. But every stage ends with a human sign-off. No output leaves the process without a named reviewer signing it.
15–25 independent sources, < 18 months old, at least one contrarian perspective. Coverage map exposes blind spots.
Extraction, dedup, tagging, separation of fact / estimate / opinion. ≥ 80% confirmed relevant by reviewer.
Claims drawn from signal clusters. Confidence levels (★1–5). Assumptions made explicit. Causation vs. correlation checked.
Standard IC template populated. Charts, market maps, executive summary. Narrative consistency checked.
Four independent levels: Facts & Sources · Logic & Counterpoints · Numbers & Models · IC-Readiness.
Versioned asset, change log, continuous monitoring. New evidence triggers an update proposal.
Before each claim, the IC sees how solid it is. Nothing gets inflated into certainty when it's actually an assumption. Assumptions go into the register, not into the main text.
Not for marketing slides, not for "strategy refreshes". For engagements where quarterly results, board decisions, or capital allocation hinge on a single analysis.

Consultant with nearly two decades of experience in market research, strategy consulting, and advising companies across the healthcare market. She helps established and emerging players understand markets, analyse customer needs, and translate complex questions into reliable decision foundations. At 3ya she owns research, quality, and a relentless focus on client value. What interests her most is connecting facts with hands-on experience: where different findings come together into a reliable overall picture and turn into solutions with real value for clients.

Finance and healthcare expert focused on M&A, market analysis, and data-driven decision foundations. He combines deep financial knowledge with analytical rigour and helps companies and investors assess markets, identify growth potential, and prepare strategic decisions. For 3ya he brings his experience in healthcare M&A, commercial research, and financial analytics. What interests him most is connecting market, financial, and company data: where sound analysis leads to better investment and growth decisions.

Independent AI advisor with over two decades on complex technology programmes, from enterprise architecture to AI in regulated environments. He translates between business and IT and builds 3ya's Intelligence Engine and the methodology behind it. What interests him most is the messy middle: where strategy meets execution and "we should" turns into "we shipped".
Beyond the core 3ya team, we work with selected external market experts. They bring industry depth to individual engagements and validate assumptions where lived practice matters most.

Entrepreneur, strategy advisor, and healthcare expert with over 30 years of experience in the healthcare market. He helps companies develop viable business models, position innovative solutions, and build sustainable models of care. His experience spans homecare and medical technology through to founding and scaling companies in the regulated healthcare market. What interests him most is connecting innovation, market, and people: where good ideas meet committed people who turn them into lasting market success.

Biologist, health economist, investor and advisor with over twelve years of experience in strategy, transactions, and restructuring across the healthcare and life sciences market. Drawing on his own entrepreneurial experience and international top-tier consulting firms, he combines entrepreneurial thinking with the quality standards of leading management consultancies. For 3ya he brings his expertise in healthcare strategy, due diligence, and the development of viable business models. What interests him most is the interface between entrepreneurial ambition and the reality of care: where "it has to add up" turns into sustainable business models.
Healthcare and transformation expert with over 25 years of experience in consulting, private equity, and building high-growth companies. He combines financial expertise with operational leadership and knows the challenges of regulated healthcare markets first-hand. For 3ya he brings his experience in corporate development, M&A, and the successful delivery of change processes. What interests him most is connecting financial stability with sustainable growth: where organisations create the conditions to make innovation succeed over the long term.
Investor, entrepreneur, and strategy advisor with over two decades of experience in private equity, corporate development, and M&A. He supports founders, owners, and management teams in developing sustainable growth strategies, scaling companies, and delivering complex transformation programmes. For 3ya he brings his experience in strategy, corporate governance, and value creation. What interests him most is connecting entrepreneurial vision with operational delivery: where strategic decisions turn into lasting enterprise value.
Entrepreneur and expert in digital care solutions with many years of experience at the interface of home care, the healthcare economy, and digital marketing. He helps companies develop customer-centric business models, build digital offerings, and position innovative solutions in the healthcare market. For 3ya he brings his expertise in outpatient care, the digitalisation of care processes, and the development and scaling of startups in the care sector. What interests him most is connecting care practice with digital innovation: where people's needs turn into solutions that make everyday life noticeably easier.
We'll send you an anonymised sample analysis including Evidence Cards and the Assumption Register. You see our methodology before we discuss your project.