Market Intelligence · Ahead of the Curve

Market analyses that hold up under real decisions.

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.

Industry focus
Healthcare & Life Science*
Turnaround
10–15 business days
Methodology
6 stages, 4 review levels

* Current industry focus, further sectors on request.

The thesis

AI scales research. Trust doesn't.

Whether it's an investment, a strategy shift, or a market call: anyone carrying the responsibility needs more than a convincing presentation. Four requirements separate an AI analysis from a foundation you can stand on.

  1. 01

    Reliability

    Are the numbers right? Are the sources current, independent, and credible? We validate at source level, not at claim level.

  2. 02

    Transparency

    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.

  3. 03

    Traceability

    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.

  4. 04

    Currency

    If a regulation shifts six weeks after delivery, the report updates. Versioning and a change log are part of the product.


What you get

Analysis, evidence and trust.
Only together do reliable decisions emerge.

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.

ANALYSIS

Decision-Ready Deck

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.

14 pages · PPTX + PDFv2.3
EVIDENCE

Evidence Cards

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.

claim_idEC-0142
confidence★ ★ ★ ★ ☆
sources3 indep.
reviewerL. Skywalker
last_check6d ago
TRUST

Assumption Register

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.

AssumptionSens.Impact
BfArM reimbursement Q3highhigh
Reimbursement driftmedhigh
Staff costs +4%medmed
M&A multiples stablelowmed
Decision-Grade Engine

Six stages.
Six Human Control Gates.

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.

  1. 01

    Select sources

    15–25 independent sources, < 18 months old, at least one contrarian perspective. Coverage map exposes blind spots.

    Gate 1
  2. 02

    Capture signals

    Extraction, dedup, tagging, separation of fact / estimate / opinion. ≥ 80% confirmed relevant by reviewer.

    Gate 2
  3. 03

    Assess evidence

    Claims drawn from signal clusters. Confidence levels (★1–5). Assumptions made explicit. Causation vs. correlation checked.

    Gate 3
  4. 04

    Build the analysis

    Standard IC template populated. Charts, market maps, executive summary. Narrative consistency checked.

    Gate 4
  5. 05

    Review results

    Four independent levels: Facts & Sources · Logic & Counterpoints · Numbers & Models · IC-Readiness.

    Gate 5
  6. 06

    Publish & update

    Versioned asset, change log, continuous monitoring. New evidence triggers an update proposal.

    Gate 6
Guiding principle

"AI accelerates the work. People guarantee the quality. We make both visible. That's what Decision-Grade means."

Confidence Levels

Every statement has a star rating.

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.

Level
Label
Requirement
In the report
Verified
3+ independent primary sources, expert confirmed
Stated as fact
High
2+ sources, consistent, plausible
Stated with source attribution
Medium
1 source + plausibility check
Stated with uncertainty flag
Low
1 source, not independently confirmed
Clearly marked as estimate
Assumption
Analogy or expert judgement
In the Assumption Register, not in the main text

Who it's for

We build for decision-makers with real stakes.

Not for marketing slides, not for "strategy refreshes". For engagements where quarterly results, board decisions, or capital allocation hinge on a single analysis.

Private Equity

Investment Committees & Deal Teams

  • IC-ready market assessments for healthcare targets
  • Reimbursement and regulatory diligence
  • Competitive maps with multiples logic
  • Quick-turn deep dives in 10–15 days
Healthcare Strategy

Hospital and provider chains

  • Cross-sector care models
  • Site assessments with demand forecasting
  • Competitive moves in real-time updates
  • Regulatory early-warning system
Strategy Consulting

Consultancies & in-house strategy

  • White-label research for your own engagements
  • Evidence packages as annex to strategy projects
  • Methodology workshops on AI in research workflows
  • Augmentation, not a competing product

Who's behind it

Healthcare depth meets AI engineering.

Stephanie Lange

Stephanie Lange

Research & Customer Insights

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.

20+ years healthcare Market Research Customer Insights Quality Management Homecare Münster
Jakob Altmeyer

Jakob Altmeyer

Healthcare M&A & Market Intelligence

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.

Healthcare M&A Market Intelligence Financial Analytics Düsseldorf
Martin Breitsprecher

Martin Breitsprecher

AI & Methodology

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".

20+ years tech AI in regulated environments Enterprise architecture Hamburg
Market Experts

Backed by a network of market experts.

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.

Frank Altmeyer

Frank Altmeyer

Healthcare & Business Development

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.

30+ years healthcare Homecare Medical Technology Business Models Market Strategy Münster
Fabian Binöder

Fabian Binöder

Healthcare & Life Sciences

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 Strategy Commercial Due Diligence Private Equity Life Sciences Value Creation Munich

Stefan Weiss

Healthcare & Transformation

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.

25+ years Finance Private Equity M&A Corporate Development Transformation Munich

Dominik Simler

Private Equity & Value Creation

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.

20+ years Private Equity Strategy M&A Value Creation Corporate Governance London

Lars Kilchert

Care & Digital Health

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.

Home Care Digital Health Digital Marketing Care Startups Business Development Hamburg
Request a sample

See a real sample analysis.

We'll send you an anonymised sample analysis including Evidence Cards and the Assumption Register. You see our methodology before we discuss your project.

Response within one business day · Confidentiality guaranteed