CRISP™ provides the clinical framework to interpret them.
Wearables, remote patient monitoring systems, and care coordination platforms are generating behavioral data from dementia populations at scale. Connecting that data to structured clinical intelligence — specifically on the dementia-seizure overlap — is what the DSS Framework and CRISP are built to do. Seagull Health is exploring licensing and API partnerships with technology organizations for whom that connection is a roadmap priority.
The Signal Interpretation Gap
Wearables, RPM systems, and care platforms generate continuous behavioral data streams from dementia populations — activity patterns, sleep disruption, agitation scores, movement anomalies. The hardware and software layer is increasingly sophisticated.
The clinical interpretation layer is not keeping pace. A sudden behavioral change at 2 AM, a spike in agitation score, a 40-second activity anomaly — these signals mean different things depending on whether you have a clinical taxonomy for what seizure activity actually looks like in this population.
Without that taxonomy, the platform surfaces an alert. With the DSS Framework embedded, the platform surfaces a clinically structured observation — one that a care team can act on, document accurately, and escalate appropriately.
That is the difference between a monitoring platform and a clinical intelligence platform. The DSS Framework is the logic layer that makes behavioral data clinically meaningful.
What your platform sees today
Alert event — 02:14 AM
No clinical classification. Alert or ignore?
Behavioral score — Day 12
Disease progression? Drug effect? Unknown.
Unresponsiveness event — Day 8
Flagged. No standard for clinical escalation.
What the DSS Framework adds
DSS Framework Classification
The DSS Framework maps behavioral monitoring data to the peer-reviewed evidence on seizure presentations in dementia patients — giving platforms the clinical taxonomy to translate raw signals into structured, actionable observations.
What a Partnership Provides
Seagull Health offers DSS Framework licensing and CRISP intelligence layer integration for technology organizations building monitoring, care coordination, or clinical decision support tools for dementia populations. Each is separately licensable. All are grounded in the same clinical taxonomy and evidence base.
The four-domain Dementia Seizure Spectrum™ Framework embedded in your alert logic, risk scoring, or clinical decision support layer — providing structured clinical context for behavioral signals your platform is already capturing.
Structured clinical intelligence on the dementia-seizure overlap — continuously grounded in current peer-reviewed literature — available as an intelligence component rather than a static model. The clinical logic updates as the science advances.
Structured risk signals your platform surfaces to care teams — organized by DSS domain rather than raw data threshold. Each triage level carries clinical context and escalation criteria grounded in the peer-reviewed evidence base.
Licensing Models
Option A
DSS Framework License
Clinical taxonomy only. Embed the four-domain classification system in your product. No CRISP dependency required. Flat annual license.
Option B
CRISP Intelligence API
Full intelligence layer via API. Your platform submits queries; CRISP returns structured evidence organized by DSS domain. Per-query or volume pricing. Architecture in development.
Option C
Full Integration Partnership
DSS Framework + CRISP intelligence layer + triage output layer. Custom integration scoped to your platform architecture and clinical use case. Contact to discuss.
Development Status
CRISP currently delivers structured intelligence reports across legal, investment, and life sciences applications. The sensor and remote patient monitoring integration architecture is in active development.
Whether a DSS Framework licensing or API arrangement fits your platform's specific clinical use case and roadmap is a question that requires a direct conversation — not a product page. Technology partners exploring integration now are shaping the implementation roadmap.
If you are building monitoring, care coordination, or clinical decision support tools for dementia populations — and the behavioral-to-neurological signal interpretation gap is a current product challenge or near-term roadmap consideration — that is the conversation we are looking for.
DSS Framework — documented and licensable
Four-domain clinical taxonomy available for integration. Documentation complete. Licensing via direct arrangement.
CRISP intelligence engine — operational
Delivering structured reports across legal, investment, and life sciences. MCP integration architecture built. External API endpoint not yet publicly exposed.
Green / Yellow / Red triage output — operational
Triage logic built and running in CRISP. Integration into third-party platform alert architecture scoped per engagement.
Sensor / RPM data stream integration — in development
Stub endpoints and placeholder data structures in place. Bidirectional integration architecture being built. Strategy discussion needed before implementation scoping.
Public API endpoint — planned
Architecture complete. Not publicly exposed pending licensing strategy finalization. Available now via direct partnership arrangement.
The Market Context
The global digital brain health market reached $231 billion in 2024 and is projected to reach $478 billion by 2034. The cognitive decline and dementia segment represents 35% of that market — approximately $80.9 billion in 2024. Remote patient monitoring is growing at 12.7% annually. Wearable healthcare devices are on pace to nearly triple in value by 2034.
These are large, fast-growing markets with dementia populations at their center. The clinical complexity of dementia — and specifically the overlap between behavioral signals and neurological events like seizures — represents one of the least structured evidence spaces in this market.
The Dementia Seizure Spectrum™ Framework is the only published clinical taxonomy organizing how seizures present across four observable domains in dementia patients. The platforms building in this space are generating the data. Seagull Health provides the clinical structure to interpret it.
Digital brain health market, 2024
Toward Healthcare — projected $478B by 2034
Share of digital brain health in cognitive decline / dementia
Toward Healthcare, 2024 (~$80.9B)
Remote patient monitoring market, 2024
Polaris Market Research — 12.7% CAGR to $56.9B by 2030
Wearable healthcare devices, 2024
GlobeNewswire — projected $137.4B by 2034
Who We're Looking For
You are building a monitoring, care coordination, or clinical decision support platform for dementia populations
Your platform captures behavioral data — activity, agitation, sleep, responsiveness — and surfaces it to care teams
The behavioral-to-neurological signal interpretation gap is a current product challenge or near-term roadmap consideration
Your product team or clinical team would benefit from a clinical taxonomy that maps your platform's signals to structured neurological evidence categories
You are interested in a licensing, integration, or co-development conversation — not a point-in-time purchase
You are looking for a ready-made, fully integrated platform product — the integration architecture is in active development
Your platform serves a general population rather than a dementia-specific population — the DSS Framework is purpose-built for this clinical overlap
You need a general clinical AI or general behavioral analytics layer — CRISP is dementia-seizure overlap only, not a general-purpose intelligence engine
You need a completed integration with defined SLAs — current partnerships are co-development arrangements that shape the implementation roadmap
Start the Conversation
Product teams and clinical teams at health technology organizations building for dementia populations. Tell us what you're building.
This is a partnership conversation, not a product purchase. No commitment required to start.