Unlock Neurodivergent Innovation

Analytics and Business Intelligence leader with 20+ years of experience driving enterprise-scale decision systems across customer experience, support operations, finance, and product organizations.

Specializes in building analytics operating models, decision intelligence frameworks, and CX / service analytics that translate complex data into clear, durable decisions for senior leaders. Mark's work spans global support operations, experience measurement, attribution and root-cause analysis, KPI architecture, and AI-enabled insights that improve decision quality, alignment, and execution at scale.

Mark has led cross-functional teams and high-impact initiatives across Fortune 10 enterprises, consulting environments, and startups—often stepping into complex or ambiguous problem spaces to restore clarity, accountability, and momentum. Best known for systems-level thinking, pragmatic execution, and aligning metrics to real-world outcomes rather than process noise.

Mark is a neurodivergent systems thinker and active board advisor who believes inclusive environments produce better decisions, stronger teams, and more resilient organizations.

Gwenaël Mouthuy is an entrepreneur and coach specializing in transformation, executive coaching, innovation, and neurodiversity.

Experience spans complex environments across public sector and international organizations, large industrial groups, and biomedical startups, helping teams move from “too complex to fix” to functional, aligned, measurable execution, often in under six months.

Also the AI specialist within the team, focused on designing secure, integrated AI approaches aligned with enterprise governance constraints.

In parallel, has coached students for 10+ years across upper secondary, university, and higher-education programs, translating complex topics into practical, usable systems.

Neurodivergent, with a human-first and data-driven mindset, and a decade of agile methodology practice to turn strategy into systems that actually stick.

Open to connecting, especially with neurodivergent professionals willing to share real-world feedback to improve our work.

Anshar Seraphim is a behavioral scientist, neurocognitive systems designer, and strategic advisor specializing in complex human systems, sales architecture, and high-stakes communication. With a background that bridges neuroscience, artificial intelligence, organizational psychology, and behavioral economics, Anshar translates cognitive science into operational frameworks that businesses can audit, measure, and deploy. Their work focuses on making decision systems, marketing pipelines, and leadership structures both more adaptive and more epistemically sound.

At Spectrum Thinktank, Anshar applies an audit-driven methodology to diagnose breakdowns in messaging, incentive structures, sales flow, and organizational dynamics. Known for building transparent reasoning protocols that eliminate ill-typed assumptions and cognitive blind spots, they help executive teams clarify strategic positioning, refine persuasive architecture, and align internal systems with measurable behavioral outcomes. Their approach emphasizes precision thinking, structural coherence, and language that drives action without distortion.

Anshar has led interdisciplinary research teams, advised corporate and nonprofit leaders, and served in executive-level strategy roles across think tanks and innovation initiatives. Recognized for translating complex cognitive and behavioral research into scalable business systems, they bring two decades of cross-sector experience to consulting engagements spanning systems design, marketing strategy, copywriting, and human dynamic optimization.

A former nonverbal autistic savant and featured speaker at the United Nations Autism Awareness Event, Anshar’s lived experience informs their rigorous attention to signal clarity, inclusion, and structural integrity in communication. Their work is grounded in epistemic transparency and performance accountability, ensuring that organizations not only solve problems, but understand precisely how and why those solutions work.