Adeptation

We enable cognitive adaptation by leveraging AI to reinforce memory, recall and resilience.





© 2025 Adeptation Inc. | Confidential | Patent Pending

Anand Narasimhan | anand@adeptation.ai

Andy Patrick | andy@adeptation.ai

The Cognitive Health Gap: A $1T Problem Without a Solution

The economic burden of cognitive decline now exceeds $1 trillion annually in the United States alone. Yet despite these staggering costs, access to meaningful, continuous cognitive care remains woefully inadequate. Current solutions are episodic, reactive, and fail to address the daily lived experience of cognitive change.

1B

People Over 64

Double by 2050

$1T

Annual Cost

Of cognitive decline in US

35%

Modifiable Risk

Through behavioral intervention

Sources: ¹UN Population Division 2024, ²WHO 2024, ³Alzheimer's Association 2024, ⁴RAND Corporation 2023, ⁵Lancet Commission 2024, ⁶NEJM 2023, ⁷Adeptation analysis, US Medicare population

The Cognitive Gap: Why Current Solutions Fall Short

Traditional cognitive assessment happens in annual memory tests that capture a single moment in time. But cognition doesn't decline on a schedule. It shifts daily, influenced by sleep, stress, medication interactions, and countless other factors that episodic testing simply cannot capture.

Digital brain training apps offer daily engagement but lack personalization and adaptive depth. They treat all minds the same, failing to understand the unique cognitive fingerprint of each individual. Meanwhile, emerging AI companions provide conversation but miss the sophisticated cognitive modeling needed to truly support memory resilience.

The result is a profound gap: people experiencing cognitive change have nowhere to turn for continuous, personalized, adaptive support that meets them where they are and evolves with them over time.

The Breakthrough: Adaptive Cognitive Reinforcement

Adeptation introduces a fundamentally new approach to cognitive health: Adaptive Cognitive Reinforcement. Using advanced AI, we model, monitor, and continuously reinforce cognition in ways that feel natural, personal, and deeply human.

Our system doesn't just test memory, it engages with it. Through everyday conversation and interaction, Adeptation builds a rich, multidimensional understanding of how each person thinks, remembers, and communicates. This cognitive model evolves over time, capturing subtle patterns that reveal not just what someone remembers, but how they remember.

01

Continuous Engagement

Natural conversation and interaction become the foundation for understanding

02

Personalized Modeling

AI builds a unique cognitive fingerprint for each individual

03

Adaptive Reinforcement

Targeted exercises strengthen neural pathways and support recall

04

Longitudinal Evolution

The system learns and adapts as cognition changes over time

How Adeptation Works

The Four-Phase Adaptive Loop

1. Capture
Multimodal intake through natural conversation, voice interaction, and daily interactions

Adeptation captures cognitive signals through usability, speech rate, pausal structure, phonemic intensity, word order quality are associated with depression, cognitive decline, and early neurodegeneration.

2. Analyze
Linguistic, cognitive and cognitive pattern recognition and NLP-based analysis

Changes in language, semantics, and discourse structure over time provide early indicators of cognitive decline. NLP methods show longitudinal language data are especially powerful for predicting decline. Adeptation uses advanced AI to detect patterns of cognitive diversity, and syntactic complexity declining in older adults with cognitive impairment.

3. Reinforce
Adaptive prompts and exercises strengthen recall pathways and support memory formation

Adeptation uses spaced repetition and adaptive difficulty, ensuring everyday memory errors. Research by Jost et al. shows memory monitoring and EEG at recall can be systematic before how positive evidence for prospective memory training effects in older adults.

4. Evolve
Continuous longitudinal tracking adjusts interventions to cognitive patterns

The convergence of continuous from episodic biomarkers, speech patterns, memory, validated memory instruments, and reinforcement interventions provides a comprehensive, evolving model of each individual's cognitive patterns.

After just a few weeks of engagement, Adeptation begins recognizing the subtle evolution of cognitive change—not as a clinical data point, but as meaningful shifts in how someone expresses themselves and navigates their world.

The system doesn't diagnose. Instead, it tracks changes in conversational fluency, word retrieval, and narrative coherence—indicators of cognitive capacity, inviting positive signals even that caregivers and clinicians might otherwise have missed.

Three Elements of Adeptation's multimodal cognitive memory and reinforcement technology are patent pending covering cognitive adaptation, privacy, and psychological safety.

Why Cognitive Resilience Matters

Cognitive health is not merely the absence of decline, it's the presence of vitality, independence, and connection. When people maintain their cognitive resilience, they remain engaged with life, relationships, and purpose. They continue to contribute their wisdom and experience to families and communities.

The research is clear: Risks of cognitive decline are modifiable through lifestyle and behavioral adaptations.. Yet most people lack access to the tools and support needed to make meaningful changes. Adeptation bridges this gap, making evidence-based cognitive care accessible, engaging, and effective.

The impact extends far beyond memory. Users report improved mood, greater confidence in social situations, reduced anxiety about cognitive change, and a renewed sense of agency over their own minds. For many, it's the difference between fearing the future and embracing it.

Independence

Maintaining autonomy in daily life and decision-making

Social Connection

Staying engaged with relationships and community

Emotional Wellbeing

Reduced anxiety and increased confidence about cognitive health

Market Opportunity: A Global Need

The market for cognitive health technology sits at the intersection of three massive, converging trends: global aging, digital health adoption, and the AI revolution in personalized care. We're meeting an urgent, underserved need that spans consumer, clinical, and corporate wellness sectors.

Our initial serviceable obtainable market (SOM) of $1B focuses on Medicare Advantage plans, progressive healthcare systems, and forward-thinking corporate wellness programs, all actively seeking differentiated cognitive health solutions.

Go-To-Market Strategy

We enter the aging market through ROI-driven wellness and care ecosystems and scaling through payers, employers, and caregiver networks before expanding globally. Our strategy focuses on a phased approach: Pilot, Prove, and Scale.

Pilot

Initial deployment & validation

Prove

Demonstrate value & efficacy

Scale

Expand reach & market share

Phase 1: Pilot & Validation

Focus: Initial market entry and data collection.

  • Independent living centers (ILCs) pilot programs in CA, NY & MA
  • Targeting B2B (Validation & Credibility)

Phase 2: Prove & Optimize

Focus: Demonstrating measurable impact and refining our offering.

  • Demonstrate measurable ROI (cost savings, engagement) in pilots
  • Validate cognitive benefit through longitudinal reinforcement outcomes
  • Build trust & usability across older and caregiver populations

Phase 3: Scale & Expand

Focus: Expanding market presence and global reach.

  • Medicare Advantage partnerships
  • API integration with wellness platforms
  • Global expansion (Europe/UK, India, Japan)
  • Targeting B2C (Engagement, brand equity, data moat)

Layered Model & Revenue Streams:

Our revenue model is primarily subscription-based, offering tiered access to our platform for both institutional partners and individual users. We generate revenue through:

  • B2B Subscriptions: Per-user or site-based fees from ILCs
  • B2C Subscriptions: Direct-to-consumer subscriptions for caregivers, friends and family members of those in the ILCs.
  • B2B2C Subscriptions: Volume-based licensing fees from payers, insurers and employers.

Traction: From MVP to Real-World Impact

Product Status

  • MVP is fully functional, running on Web, iOS, and Android
  • Includes speech and recall testing modules
  • Adaptive reinforcement loop in place
  • Secure, user-owned cognitive graph storage
  • Integrated analytics for longitudinal tracking

Pilot Programs (In Progress)

  • Three Independent Living Centers (CA, NY, & MA)
  • Deploying Adeptation with aging residents (60–85)
  • Focus: memory reinforcement, mood, and confidence tracking
  • Data pipeline feeding cognitive graph validation

The Team: Who've Built and Scaled Before

We're proven operators blending AI, behavioral psychology, and consumer growth with multiple successful exits, enterprise deployments, and a track record of building products people love.

Anand Narasimhan - CEO

Deep expertise at the intersection of cloud & mobile technologies, AI, health & psychology. Proven record of leadership, innovation and scale at organizations serving global enterprise and consumer markets.

  • GM Microsoft Cloud - Supply chain & sustainability
  • Founding CTO Voxiva - Public health services across 17 countries
  • Founding CTO J2 Global - Cloud services - Nasdaq, reached market cap of $6.8B serving 49 countries - now 2 public companies, Ziff Davis & Consensus Cloud
  • IBM Research - Innovations in signal processing and mobile communications

Andy Patrick - Strategy

Serial founder and operator with a proven record of building and scaling companies from 0→1 through product-market fit and rapid ecosystem growth.

  • Founding COO, Roam Media — Built a global storytelling and creator network of 20M+ followers; acquired by Outside Interactive
  • Co-founder, LiveBooks — Scaled from concept to 20K+ SMB customers; acquired by WeddingWire
  • Co-founder, Adjacency — Early pioneer of digital commerce; built first online stores for Apple and Patagonia; acquired by Sapient

Vidit Mittal - Engineering

Over two decades of experience in software engineering, product development, and global deployments, with expertise in cloud infrastructure, AI, health & compliance.

  • VP Engineering Ostendio - Platforms for compliance & risk
  • Director of Engineering Voxiva - Global health platforms and services

Advisory

Dr. David Bloom: Professor at Harvard School of Public Health, leading global aging and demography expert.

Key Hiring Priorities (Seed Round)

  • Head of Product: Consumer and enterprise UX excellence
  • Head of Platform Partnerships: A hybrid GTM leader who sits at the intersection of technical depth, ecosystem design, and strategic business development and speaks fluently with CTOs and CEOs
  • Specialized Engineers: Memory graph reinforcement, NLP, computer vision, and signal processing

Brains, brand, and behavioral science under one roof.

Financials

Our financial projections demonstrate a strong growth trajectory, rapid path to profitability, and a lean capital structure to achieve significant market impact.

Key highlights:

  • Revenue growth from $2.9M in 2026 to $149.8M by 2029
  • Strong gross margins of 80-83%
  • Path to profitability by 2027
  • Total funding requirement: $9.2M across seed and Series A rounds

Funding Ask: $2M to Scale Adaptive Cognitive Health

We're raising $2M to accelerate three key milestones:

Use of Funds Breakdown:

40% - Product Development: AI reinforcement engine & SDK

30% - Partnerships & Pilots: Aging & cognitive care ecosystems

20% - Research & Validation: Data studies & IP expansion

10% - Operations & Talent: Hiring cognitive science & UX roles