Brain Training Services Business Plan and Project Report 2026: Market Trends, Consumer Demand, Service Opportunities, Business Model, Operating Costs and Revenue Projections

Brain Training Services Business Plan and Project Report 2026

Brain Training Services Business Plan and Project Report provides a comprehensive framework for establishing and operating a professional brain training business. It covers business model development, operational workflow, market analysis, infrastructure and technology requirements, staffing, investment planning, revenue generation, and financial feasibility. The report also addresses marketing strategies, customer retention, regulatory considerations, certifications, risk assessment, and competitive positioning. By evaluating market opportunities across education, corporate wellness, healthcare, sports, and individual cognitive wellness, it helps entrepreneurs and investors assess viability and develop a scalable, sustainable business.

Cognitive Assessment and Training Market Size & Forecast

Cognitive Assessment and Training Market is projected to grow from US$ 7.12 billion in 2025 to US$ 28.19 billion by 2034, registering a strong CAGR of 16.52% during 2026–2034. Market expansion is being supported by increasing awareness of cognitive health, growing demand for early cognitive impairment detection, and the adoption of digital assessment and training platforms. Advances in artificial intelligence, personalized cognitive programs, and remote healthcare solutions are further creating opportunities across healthcare, education, corporate wellness, sports, and research applications.

Rather than focusing solely on market size, the Brain Training Services Business Plan and Project Report provides a practical roadmap for establishing and scaling a cognitive wellness venture. It evaluates the business model, service workflow, technical requirements, infrastructure, staffing, investment needs, operating costs, revenue streams, and profitability. The report also covers market trends, customer segmentation, marketing strategies, regulatory considerations, certifications, risk assessment, and competitive positioning, helping entrepreneurs and investors understand feasibility, optimize resources, and develop sustainable brain training services across education, corporate wellness, healthcare, sports, and individual segments.

Global Brain Training Services Business Plan and Project Report Introduction

The Global Brain Training Services business is positioned at the intersection of cognitive wellness, behavioral health, digital health, education, senior care, neuroscience, artificial intelligence, and preventive healthcare. A dedicated brain-training center can operate as a physical facility supported by digital technology, trained cognitive coaches, psychologists or other qualified professionals, assessment tools, structured training programs, and remote follow-up services. The center can serve children, working-age adults, older adults, corporate employees, students, athletes, and healthcare-linked populations, depending on the final service scope.

The proposed center should not be designed simply as a room containing computers and cognitive games. It should operate as an integrated service platform combining assessment, individualized training, supervised sessions, progress monitoring, counseling/education, digital practice, and outcome reporting. The operating model should distinguish wellness and performance services from clinical diagnosis or treatment. The project therefore offers an opportunity to establish a scalable center model that combines physical service delivery with digital subscriptions and institutional contracts.

Center Operations & Delivery Blueprint

The center should be designed around a structured cognitive-service journey, beginning with registration and baseline assessment and continuing through individualized training and periodic reassessment.

Recommended Customer Journey

• Customer inquiry and appointment booking.
• Registration and informed consent.
• Initial profile and goal identification.
• Baseline cognitive assessment, where appropriate.
• Review by qualified professional or trained cognitive coach.
• Individualized training-plan preparation.
• Supervised center-based sessions.
• Home/mobile training between center visits.
• Weekly or monthly progress monitoring.
• Periodic reassessment.
• Outcome report and program adjustment.

Renewal, referral or transition to another service.

Core Center Services

Service	Description	Target Customer
Cognitive Screening	Structured assessment of selected cognitive domains	Adults/seniors
Memory Training	Exercises targeting recall and working memory	General users/seniors
Attention Training	Focus and sustained-attention activities	Students/adults
Executive Function Training	Planning, flexibility and problem-solving	Adults
Processing-Speed Training	Timed cognitive exercises	Adults/seniors
Brain Fitness Programs	General cognitive wellness programs	Consumers
Senior Cognitive Wellness	Structured cognitive engagement	Older adults
Student Programs	Attention, memory and learning exercises	Students
Corporate Programs	Cognitive wellness and productivity programs	Employers
Digital Home Training	App/web-based exercises	Remote users
Professional Programs	Structured programs under qualified supervision	Healthcare/wellness providers

The center should maintain clear boundaries between cognitive wellness, cognitive training and clinical services. If assessments are marketed for diagnosis or monitoring of a disease, the regulatory requirements can become substantially higher. The U.S. FDA, for example, classifies a computerized cognitive assessment aid under regulation 882.1470 as a Class II medical device when it is intended for clinical screening of cognitive function in adults aged 55 and older.

Center Layout & Space Planning

A medium-sized center can initially operate from approximately 1,500–3,000 square feet, depending on the number of simultaneous users and whether clinical or research services are included.

Indicative Space Allocation

Area	Indicative Space	Primary Function
Reception & Waiting	XX sq. ft.	Registration and waiting
Assessment Rooms	XX sq. ft.	Individual assessment
Training Area	XX sq. ft.	Supervised cognitive training
Consultation Room	XX sq. ft.	Professional consultation
Technology/Server Area	XX sq. ft.	IT equipment
Staff Area	XX sq. ft.	Administration
Storage	XX sq. ft.	Equipment/materials
Accessible Facilities	XX sq. ft.	Restrooms/support
Circulation	XX sq. ft.	Movement/access
Total	XX sq. ft.	Indicative center

Center Design Principles

• Barrier-free access.
• Adequate lighting without excessive glare.
• Low-noise training environment.
• Ergonomic seating and workstations.
• Adjustable computer/tablet stations.
• Clear emergency exits.
• Accessible restrooms.
• Appropriate ventilation and temperature control.
• Privacy during assessments.
• Secure storage for records and equipment.
• CCTV only where legally permissible and appropriately disclosed.
• Dedicated professional consultation areas.
• Reliable internet connectivity.

The environment should feel more like a professional cognitive wellness and assessment center than a gaming arcade. The physical design can materially influence perceived credibility, particularly among healthcare professionals, corporate clients and older customers.

Staffing & Center Operations

A center can begin with a lean staffing structure and expand according to utilization.

Indicative Staffing Model

Position	Initial Number	Primary Responsibility
Center Manager	1	Overall operations
Cognitive Specialist/Psychologist	1–2	Assessment and professional oversight
Cognitive Trainers	3–5	Training delivery
Technology Executive	1	Devices/software support
Receptionist	1–2	Scheduling and customer service
Sales/Partnership Manager	1	Corporate and institutional business
Marketing Executive	1	Customer acquisition
Finance/Admin	1	Billing and administration
Medical/Scientific Advisor	Part-time	Clinical/scientific governance
IT/Security Specialist	Outsourced	Cybersecurity and infrastructure

Daily Operating Schedule

A center could initially operate six days per week, with morning, afternoon and evening sessions.

Morning

• Senior cognitive wellness programs.
• Individual assessments.
• Professional consultations.

Afternoon

• Student programs.
• Individual training.
• Corporate sessions.

Evening

• Working-professional programs.
• Group cognitive wellness.
• Follow-up sessions.

Standard Session Structure

A typical 45–60-minute supervised session can include:

• 5 minutes: check-in and readiness.
• 5–10 minutes: warm-up.
• 20–30 minutes: targeted cognitive exercises.
• 5–10 minutes: adaptive exercises.
• 5 minutes: performance review.
• 5 minutes: home-practice recommendation.

Session length should be adapted to the user’s age, goals, fatigue and professional recommendations.Center Infrastructure & Technical Feasibility

The center’s technical infrastructure should integrate physical equipment with a cloud-based cognitive-training platform.

Core Technology Infrastructure

Technology	Requirement	Purpose
Desktop Computers	10–30 units	Cognitive assessments/training
Tablets	5–15 units	Flexible training delivery
Large Displays	1–3	Group training
Headphones	10–30	Auditory exercises
High-Speed Internet	Business-grade	Cloud access
Wi-Fi	Enterprise-grade	Device connectivity
Cloud Platform	Scalable	Data/application hosting
Backup System	Automated	Business continuity
Secure Router/Firewall	Enterprise-grade	Network security
CCTV	Where permitted	Security
Access Control	Optional	Facility security
UPS	Required for critical equipment	Power protection
Generator/Backup Power	As appropriate	Operational continuity

The center does not necessarily require a large physical server room. A cloud-first infrastructure can lower capital expenditure, simplify maintenance and support centralized software updates.

Software Architecture

The recommended platform should contain:

• Customer relationship management.
• Appointment scheduling.
• Electronic customer records.
• Cognitive assessment module.
• Training content library.
• Adaptive recommendation engine.
• Trainer dashboard.
• Customer progress dashboard.
• Payment and subscription system.
• Reporting system.
• Mobile application.
• Administrative controls.
• Role-based access.
• Audit logging.
• Backup and recovery.

AI and Personalization

Artificial intelligence can be used to personalize training according to:

• Accuracy.
• Response time.
• Exercise difficulty.
• Session frequency.
• Historical performance.
• Training adherence.
• User-selected objectives.

However, AI should not independently generate medical diagnoses unless the system has been appropriately developed, validated and authorized for that purpose. The FDA states that digital-health oversight is function-specific and risk-based, and software functions that meet the medical-device definition can fall under FDA oversight.

Technical Feasibility Assessment

The technical feasibility of a brain-training center is considered high because the majority of required technologies are commercially available. The main technical challenge lies not in acquiring computers or tablets but in developing scientifically credible assessments, adaptive algorithms, secure data systems and standardized operating procedures.

Feasibility Matrix

Technical Area	Feasibility	Key Requirement
Computerized training	High	Commercial hardware/software
Mobile training	High	iOS/Android development
Cloud infrastructure	High	Secure cloud architecture
Digital assessment	High	Validated instruments
AI personalization	Moderate–High	Data and algorithm expertise
Analytics	High	Data platform
Remote training	High	Internet/mobile application
Healthcare integration	Moderate	APIs and interoperability
Clinical validation	Moderate	Research partnerships
Medical-device pathway	Moderate–Low	Regulatory expertise/evidence
Cybersecurity	High	Dedicated controls
Scalability	High	Cloud-first architecture

Comprehensive Financial Feasibility

The financial model should combine center-based service revenue with recurring digital and institutional revenue. A physical center provides credibility and face-to-face engagement, while digital delivery creates scalability beyond the center’s geographic boundaries.

The following figures represent illustrative planning assumptions and should be replaced with location-specific quotations, salaries, rent, taxes, equipment prices and financing costs.

Indicative Initial Project Cost

Investment Head	Estimated Cost (US$)
Facility deposit and fit-out	$XX
Furniture and interior	$XX
Computers/tablets	$XX
Cognitive technology/software	$XX
Assessment/content development	$XX
Cloud/IT infrastructure	$XX
Cybersecurity implementation	$XX
Professional equipment	$XX
Licenses/legal/consulting	$XX
Pre-launch marketing	$XX
Staff recruitment/training	$XX
Working capital	$XX
Contingency	$XX
Total Indicative Investment	$XX

 

A smaller center can significantly reduce this requirement by leasing premises, using subscription-based software, limiting initial equipment purchases and outsourcing IT/security.

Revenue Model

Revenue Source	Pricing Structure
Individual sessions	Per session
Monthly membership	Recurring subscription
Annual membership	Discounted annual subscription
Premium cognitive assessments	Per assessment
Senior programs	Monthly package
Student programs	Monthly/term package
Corporate wellness	Per employee/contract
Hospital/clinic partnership	Institutional license
Digital subscription	Monthly/annual
Professional training	Course/program fees
Research services	Contract revenue
White-label software	Enterprise licensing

 

Illustrative Five-Year Financial Projection

Financial Metric	Year 1	Year 2	Year 3	Year 4	Year 5
Revenue	$XM	$XM	$XM	$XM	$XM
Operating Costs	$XM	$XM	$XM	$XM	$XM
EBITDA	$XM	$XM	$XM	$XM	$XM
EBITDA Margin	Negative	Negative	X%	X%	X%

 

The model assumes that the business initially invests heavily in staff, technology, marketing and customer acquisition. Profitability improves as utilization increases and recurring digital/institutional revenue grows.

Break-Even Drivers

The major variables determining break-even include:

• Number of active members.
• Average monthly revenue per member.
• Sessions delivered per day.
• Center utilization.
• Staff productivity.
• Rent and facility costs.
• Customer acquisition cost.
• Retention/churn.
• Digital subscription conversion.
• Corporate contract revenue.

A center should target a diversified revenue mix so that it is not dependent entirely on individual walk-in customers.

Financial Assistance & Healthcare Grants

Funding opportunities can be explored through healthcare innovation programs, startup grants, neuroscience research programs, digital-health accelerators, university partnerships and impact-investment funds.

For India-based projects, BIRAC and associated biotechnology/health-innovation programs may become relevant where the project contains a qualifying R&D component. BIRAC’s current calls include programs related to screening and diagnosis, product commercialization and Bio-AI, illustrating the breadth of the health-innovation funding ecosystem.

However, a standard brain-training center should not assume that every biotechnology grant applies. Eligibility should be established against the specific project technology, applicant status, research component and funding call.

Potential Funding Sources

Funding Source	Potential Use
Startup grants	MVP and innovation
Healthcare innovation grants	Digital-health R&D
University grants	Neuroscience research
Government programs	Technology development
Incubators	Infrastructure and mentoring
Angel investors	Early commercialization
Venture capital	Multi-center expansion
Strategic healthcare investors	Hospital integration
Corporate CSR	Community cognitive wellness
Research contracts	Validation studies

Recommended Funding Structure

A practical financing structure could be:

• 20–30% founder/promoter capital.
• 20–30% grants or innovation funding.
• 20–30% angel/strategic investment.
• 20–30% working-capital or equipment financing.

The final mix should be adjusted according to interest rates, grant availability, investor requirements and project risk.

Statutory Approvals & Operating Licenses

A brain-training center’s licensing requirements depend strongly on its operating model and jurisdiction. A general wellness and cognitive-training center can have a significantly simpler regulatory pathway than a facility offering medical diagnosis or treatment.

General Operating Requirements

Potential requirements may include:

• Business/entity registration.
• Local trade/business license.
• Commercial premises approval.
• Building and occupancy compliance.
• Fire-safety clearance where applicable.
• Electrical safety compliance.
• Employment/labor registrations.
• Tax registration.
• Consumer-protection compliance.
• Signage permissions where applicable.
• Data-protection/privacy compliance.
• Insurance coverage.
• Professional registration for regulated practitioners.

Healthcare-Oriented Operations

If the center provides clinical assessment, diagnosis, treatment or rehabilitation, additional requirements may apply, potentially including:

• Healthcare establishment registration.
• Professional licensing.
• Clinical consent procedures.
• Medical-record requirements.
• Patient grievance procedures.
• Clinical waste requirements where applicable.
• Medical-device compliance.
• Clinical research/ethics approvals.
• Additional insurance.

The U.S. regulatory pathway illustrates why intended use must be defined early. The FDA’s 2026 Clinical Decision Support Software guidance explains how certain software functions may be excluded from the device definition while software functions meeting the medical-device definition remain subject to applicable FDA policies. Therefore, the project should prepare an Intended-Use and Regulatory Classification Document before launching clinical-facing products.

Health, Safety & Quality Certifications

Health, safety and quality systems are important for creating trust among consumers and institutional clients.

Recommended Quality Framework

Standard/Certification	Relevance
ISO 9001	Quality-management system
ISO 27001	Information-security management
ISO 27701	Privacy-information management
SOC 2	Enterprise security assurance
ISO 13485	Relevant where medical-device operations apply
ISO 14971	Relevant for medical-device risk management
Accessibility standards	Inclusive service delivery
Local fire certification	Physical center safety
Electrical safety certification	Facility/equipment safety

Not every certification is mandatory for every brain-training center. The appropriate certification stack should be selected according to the service model, customer requirements and regulatory classification.

Health & Safety SOPs

The center should maintain written procedures for:

• Emergency evacuation.
• Fire response.
• First aid.
• Electrical safety.
• Equipment inspection.
• Infection-control practices.
• Cleaning and sanitation.
• Accessibility.
• Incident reporting.
• Staff safety.
• Customer safeguarding.
• Data-security incidents.
• Business continuity.
• Emergency communication.

Quality-Control Program

Each center should maintain:

• Standard operating procedures.
• Staff training records.
• Equipment-maintenance logs.
• Software-version controls.
• Assessment administration protocols.
• Customer-consent records.
• Incident logs.
• Complaint-management procedures.
• Periodic internal audits.
• Continuous-improvement reviews.

Data Protection & Cybersecurity

Brain-training centers can process sensitive personal and potentially health-related information. Consequently, privacy should be incorporated into the system from the design stage.

Essential Controls

• Data minimization.
• Explicit consent where required.
• Encryption in transit and at rest.
• Multi-factor authentication.
• Role-based access.
• Strong password policies.
• Audit trails.
• Regular backups.
• Disaster recovery.
• Vulnerability management.
• Secure software development.
• Vendor due diligence.
• Data-retention policies.
• Data-deletion mechanisms.

The FDA’s current digital-health guidance emphasizes cybersecurity considerations for regulated medical-device software, while its digital-health framework applies oversight according to the risk and function of the software rather than merely whether it is delivered through a mobile application. (U.S. Food and Drug Administration)

For international operations, privacy compliance should be mapped country by country rather than assuming that one privacy policy satisfies every jurisdiction.

Commercial Strategy for the Center

The center should adopt a hub-and-spoke model.

Hub

The flagship center provides:

• Assessments.
• Professional supervision.
• Training.
• Research.
• Staff training.
• Customer onboarding.
• Corporate demonstrations.

Spokes

Digital channels provide:

• Home training.
• Mobile exercises.
• Subscription services.
• Remote progress monitoring.
• Digital assessments where appropriate.
• Online coaching.
• Institutional dashboards.

This structure allows the business to establish a physical reputation while eventually scaling digitally.

Target Customer Segments

• Adults seeking cognitive wellness.

• Older adults.
• Students.
• Corporate employees.
• Senior-care organizations.
• Hospitals and clinics.
• Rehabilitation centers.
• Universities.
• Schools.
• Research organizations.
• Insurance/employee-benefit providers.

Go-To-Market Roadmap

Phase 1: 0–6 Months

Objective: Establish the flagship center

• Finalize location.
• Obtain operating approvals.
• Build center infrastructure.
• Recruit core team.
• Deploy technology platform.
• Create training protocols.
• Conduct pilot sessions.
• Establish baseline customer metrics.

Phase 2: 6–12 Months

Objective: Validate product-market fit

• Launch memberships.
• Introduce digital training.
• Develop senior programs.
• Develop corporate packages.
• Begin institutional partnerships.
• Collect customer feedback.
• Measure retention and engagement.

Phase 3: 12–24 Months

Objective: Expand institutional revenue

• Corporate wellness contracts.
• Hospital partnerships.
• Senior-living partnerships.
• School/university programs.
• Research collaborations.
• Digital subscription expansion.

Phase 4: 24–36 Months

Objective: Multi-center expansion

• Open additional centers.
• Standardize operating manuals.
• Introduce franchise/licensing model.
• Expand digital services.
• Develop centralized analytics.

Phase 5: 36–60 Months

• Objective: International scale

• Country-specific partnerships.
• Multilingual applications.
• International institutional contracts.
• White-label technology.
• Research collaborations.
• Potential regulated clinical product development.

Center Performance Dashboard

Management should monitor financial, operational, customer and quality indicators.

KPI Category	Key Metrics
Financial	Revenue, EBITDA, ARPU, CAC, LTV
Operations	Sessions/day, utilization, capacity
Customers	Members, retention, churn
Engagement	Sessions/member, completion rate
Quality	Complaints, incidents, SOP compliance
Technology	Uptime, cybersecurity incidents
Scientific	Validation studies, assessment reliability
Institutional	Contracts, renewal rate
Staff	Productivity, training, turnover

Priority KPIs

• Center utilization above targeted capacity.
• Monthly recurring revenue growth.
• Customer retention.
• Corporate contract renewals.
• Digital subscription conversion.
• Average revenue per member.
• Customer acquisition cost.
• Customer lifetime value.
• Session completion.
• User satisfaction.
• Safety incidents.
• Data-security incidents.

Recommended Operating Model

The recommended business architecture is a three-layer center model:

Layer 1 – Cognitive Wellness

Focus on:

• Memory exercises.
• Attention training.
• Brain fitness.
• General cognitive engagement.
• Lifestyle education.
• Digital home practice.

Layer 2 – Professional Assessment & Training

Focus on:

• Structured assessments.
• Individualized programs.
• Professional supervision.
• Progress monitoring.
• Detailed reports.

This layer should use appropriately qualified personnel and validated instruments.

Layer 3 – Clinical/Research Services

Focus on:

• Clinical research.
• Healthcare partnerships.
• Validation studies.
• Regulated digital-health applications.
• Research datasets under appropriate governance.

This layer should only be launched after regulatory, ethical, clinical and data-protection requirements have been assessed.

Global Brain Training Services Business Plan Trends & Growth Drivers

Rapid Adoption of Digital Brain Training Platforms

The global brain-training industry is shifting from traditional exercises toward mobile applications, cloud platforms, and subscription-based services. This trend creates opportunities for businesses offering remote coaching, digital assessments, customized cognitive exercises, progress tracking, and subscription models. Platforms can serve consumers directly while also developing B2B offerings for healthcare providers, schools, senior-care organizations, and employers. The growing accessibility of smartphones and cloud technologies further reduces infrastructure requirements, enabling businesses to scale across geographies.

AI-Driven Personalization and Adaptive Cognitive Training

Artificial intelligence is becoming a major growth driver as users increasingly expect training programs tailored to their individual cognitive profiles. Recent industry developments show greater integration of generative AI and machine learning into cognitive platforms, enabling adaptive training pathways based on performance and behavioral data. AI can adjust exercise difficulty, recommend activities, identify performance patterns, and generate personalized progress reports. This improves engagement by replacing standardized programs with continuously evolving training experiences. Companies are also using AI-powered analytics for cognitive screening, personalized recommendations, and remote monitoring. The opportunity extends beyond consumer applications into education, corporate wellness, clinical research, and rehabilitation. Businesses capable of combining AI, cognitive science, behavioral analytics, and intuitive interfaces can differentiate themselves through personalization and measurable outcomes.

Growing Demand for Cognitive Health, Screening and Prevention

Increasing awareness of cognitive health is expanding demand for brain-training services beyond entertainment. Brain-training businesses can therefore position services around memory, attention, executive function, processing speed, and cognitive wellness while integrating assessment before and after training. Aging populations, growing awareness of dementia risk, and demand for early identification of cognitive changes are strengthening this opportunity. However, providers increasingly need evidence-based methodologies and transparent claims rather than simply promising general improvements in intelligence or memory.

Expansion into Healthcare, Corporate Wellness and Education

Brain-training services are increasingly moving into specialized institutional markets. Cognitive assessment and training solutions are already used across clinical trials, education, corporate teaching, research, brain training, and diagnostics. This diversification allows businesses to develop multiple revenue streams rather than relying solely on individual subscriptions. Corporate programs can focus on concentration, productivity, stress resilience, and employee cognitive wellness, while schools can use assessments to identify learning-related cognitive strengths and weaknesses. Healthcare organizations can adopt digital assessments and rehabilitation-oriented programs for monitoring cognitive performance. The institutional opportunity is particularly attractive because organizations may purchase licenses, dashboards, analytics, assessments, and professional services on recurring contracts. Building partnerships with hospitals, schools, universities, employers, senior-care organizations, and research institutions can therefore improve customer acquisition and strengthen long-term revenue visibility.

Increasing Emphasis on Scientific Validation and Clinical Credibility

Scientific evidence is becoming an important competitive differentiator in the brain-training market. Consumers and institutional buyers are increasingly questioning whether improvements achieved during digital exercises translate into meaningful real-world cognitive benefits. BrainHQ, for example, is distinguished by a large peer-reviewed research base, while CogniFit emphasizes cognitive assessment and clinical applications. This creates an opportunity for new businesses to build credibility through validated assessments, partnerships with universities and healthcare organizations, transparent outcome measurements, and longitudinal user studies. Companies that combine engaging gamification with credible cognitive science can potentially achieve stronger retention and institutional adoption. The competitive landscape is consequently moving away from simple “brain games” toward measurable cognitive assessment, personalized intervention, data analytics, and evidence-supported services.

Global Brain Training Services Business Competitive Landscape

The global Brain Training Services competitive landscape is moderately fragmented, with established digital platforms and specialized cognitive-health providers competing on personalization, scientific evidence, user engagement, and institutional partnerships. Lumosity (Lumos Labs) serves more than 100 million registered users, while CogniFit combines cognitive assessment with personalized training. BrainHQ (Posit Science) emphasizes clinically researched brain training, whereas Elevate focuses on cognitive and communication skills through gamified exercises. Peak competes through adaptive, personalized brain-training experiences. Increasingly, companies are differentiating through AI, clinical validation, mobile accessibility, and healthcare or corporate wellness integration.

Cognitive Assessment and Training Product Launches

• Linus Health – Anywhere for Health Systems™ (2025): AI-enhanced, FDA-listed remote cognitive assessment enabling patients to complete clinical-grade assessments from home.
• CogniFit – HR Cognitive Assessment Platform (2025): Integrated cognitive assessment technology with recruitment and HR systems to support employee evaluation and workplace cognitive health.
• CogniFit – Developers Platform (2024): Launched APIs and SDKs allowing healthcare, education, sports, research, gaming, and corporate platforms to integrate cognitive assessments and training.
• Linus Health – Hearing Screener & Digital Trail Making Test Part B (2024): Introduced two digital cognitive-screening tools using automated analysis and AI-supported assessment for early cognitive impairment detection.
• CogniFit – CAB K-12 (2024): Introduced a digital cognitive assessment for students, evaluating areas such as memory, concentration, reasoning, perception, coordination, and academic-related cognitive abilities.