Artem Loginov

What I Do

• Zero-to-One Product Strategy: Define the right problem, align on ICP/JTBD, deliver a v1 people adopt and pay for.
• Validation & Early Traction: Run structured discovery, market narrative testing, and pilot programs to shorten time-to-first revenue.
• AI-Native Workflow Design: Embed AI where it compounds value: data capture, matching, decision support, measurable outcomes.
• Execution with Quality: Align strategy, architecture, and QA so speed doesn't compromise reliability.

Current Focus: Wicely

Building AI-native SaaS for R&D management in mid-market manufacturing. Helping product engineering and research teams save 20-30% of their weekly time through systematic data collection, team collaboration, and compounding knowledge.

Why purpose-built matters: R&D teams need data sovereignty, security from inception, and team-wide memory. Enterprise AI isn't consumer AI at scale, it's a fundamentally different product built for different requirements.

Core capabilities:

• Technology scouting and R&D pipeline management
• R&D project tracking with measurable outcomes
• Research team collaboration and knowledge capture
• Turning technical discoveries into competitive advantages

If your R&D process feels slow, fragmented, or stuck in spreadsheets, I want to hear about it.

How I Work

• Problem-first: Clarify the real problem before designing the solution.
• Outcome-focused discovery: Instead of "What do you need?", I ask "Walk me through your last frustrating day." Specificity reveals real problems, not feature wishlists.
• Small, testable bets: Weekly learning loops with explicit hypotheses and go/no-go rules.
• Opinionated & measurable: Codified playbooks that make outcomes repeatable.

Background

• Product leadership: Building & shipping SaaS, leading cross-functional teams, owning discovery → delivery → adoption.
• Entrepreneurship: Co-founding and scaling early-stage ventures.
• Industries: Manufacturing, Marine, Climate Tech, MedTech, EdTech, IT Infrastructure. Cross-industry pattern recognition drives better solutions.
• Quantitative edge: MSc Mathematics, plus degrees in Business Intelligence, MBA, IT Project Management.
• Craft: Mathematics-informed product thinking, engineering-grade standards, and business model clarity.

Track Record

• 15+ years in product leadership and entrepreneurship
• 4 companies co-founded, including scaling to €2M+ revenue
• 10+ digital products delivered across MedTech, B2B SaaS, eCommerce
• 100+ customer interviews driving product roadmap decisions
• Scaled teams from 25 to 200 employees across growth phases

Working Together

Currently focused full-time on building Wicely. Limited availability for part-time advisory engagements in product strategy, customer discovery, and AI-native workflow design. Subject to capacity and strategic fit.

Principles

• Simplicity scales: Fewer steps, clear state, named nouns.
• Data with purpose: Capture only what drives decisions.
• UX is process: Remove ambiguity and accelerate progress.
• Trust through transparency: Clear metrics, trade-offs, and ownership.