Eugene Godov
Co-Founder & CEO
Engineer and technical entrepreneur in AI, information systems, and human-computer interaction. Eugene leads Synstate Labs' vision for cognitive-state AI as a new layer in human-AI systems.
LinkedInTeam
Synstate Labs is an independent research and engineering lab with an interdisciplinary team across Finland, Germany, and the United States.
Roman Kutanov
Co-Founder & CTO
AI systems architect with Ph.D. studies in Internet Technologies. Roman brings the scientific and engineering foundation behind Synstate Labs' state engine, turning cognitive-state research into production-grade AI systems.
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Anastasiya Markvarde
Ecosystem & Partnerships
Innovation strategist with experience across public programs, health innovation, startups, and institutional ecosystems. Anastasiya leads Synstate Labs' ecosystem relationships, partner-facing programs, and market access for cognitive-state AI.
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Vladimir Gorovoy
Strategic Advisor
AI product leader and entrepreneur with deep experience in shipping search and LLM-powered products. Vladimir advises Synstate Labs on product strategy and go-to-market for cognitive-state AI, helping translate the Cognitive State Engine into real-world applications and scalable value for customers.
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Ivan Zubarev, D.Sc. (Tech)
Neuroscience & Biosignals Advisor · Aalto University
Specializes in brain–computer interfaces and transforming raw biosignals into actionable models of cognitive state for adaptive AI systems.
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Igor Gonebnyy
Business Partner
AI and business strategist with experience building partnerships across the U.S. tech ecosystem. Igor advises Synstate Labs on strategic alliances and market entry in the United States, helping bring the Human-context engine for AI agents into real-world deployments with U.S. industry and innovation programs.
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We collaborate with research groups, product teams, and design partners interested in human-state modeling for AI systems.
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Aalto University
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Open roles
Synstate Labs is looking for researchers and engineers who want to work on device-level cognitive state modeling, a hard, interdisciplinary problem at the intersection of HCI, ML, and systems design.
ML Research Engineer
Signal modeling & temporal inference
Work on models that turn behavioral and interaction signals into compact cognitive-state representations for adaptive AI.
- Time-series and multimodal signal modeling
- Experiments on noisy real-world behavioral data
- On-device constraints, stability, and interpretability
Applied AI Engineer
State interfaces & adaptive systems
Build the interfaces and on-device processing that let applications and AI agents use cognitive state in real workflows.
- State interfaces, APIs, and adaptive interaction patterns
- On-device processing with privacy and performance constraints
- Integrations with design partners and real product workflows