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Research

Application — stark research
WHO THIS IS FOR

Research platform operators and insight teams sitting on vast proprietary libraries

You run a research repository, foresight platform, or internal knowledge base where analysts, strategists, and client teams query reports, datasets, and curated insight daily — and generic search returns too many results, not the right paragraph. Your buyers are research directors and product leaders who need AI that surfaces signal from proprietary content, not the open web.

Structured libraries

Search

Report-level traceability

Citations

Per-client isolation

Tenancy

THE SITUATION

Decades of research. Minutes to find the answer.

Static PDF libraries and folder structures do not scale when content spans thousands of reports across regions, categories, and publication years. Teams re-read entire documents to find one data point. Building retrieval that respects report structure, tenant permissions, and citation requirements in-house is a multi-quarter engineering distraction.

HOW IT WORKS

Search your library like a colleague who has read everything

Structured research ingestion

Chunking respects report sections, executive summaries, methodology notes, and annexes — so a query about "plant-based protein trends in APAC" returns context from the relevant report chapter, not a keyword match from an unrelated publication.

Personalised discovery with source citations

Users query across content streams, filter by region or category, and receive answers with citations back to the original report page. Recommendations surface relevant research based on role and reading history — turning a static archive into a living resource.

Multi-tenant isolation for enterprise clients

Each subscriber, business unit, or client organisation maintains an isolated document set — including private folders and company-specific research projects. Enterprise permissions ensure proprietary foresight never crosses tenant boundaries.

Generative research projects grounded in your IP

Beyond search, teams run generative projects against approved source material — bespoke foresight questions answered from your research corpus with citations, not generic model outputs.

Usage-based billing per client or team

Platform operators charge enterprise subscribers, internal departments, or client accounts separately based on query volume and AI credits — aligned with how research platforms already sell tiered access.

Application body — stark research
WHAT YOU GET

Deliverables for research platform deployment

  • Contextual search and Q&A across structured research libraries

  • Source citations on every answer and generative output

  • Per-client document isolation with enterprise permissions

  • Recommendation and alert tooling for proactive insight delivery

  • API integration for embedding in existing research portals

  • Usage reporting per subscriber for platform billing

WHY ASCEND

Proprietary insight, not generic AI

  • Grounded in your research IP — not web crawl or model memory

  • Source citations on every output for client-ready evidence

  • UK data residency and no inference-layer retention

  • ISO 27001 certified with GDPR compliant design

  • White-label deployment behind your research brand

At a glance

Turn decades of proprietary reports into contextual search and generative research — with citations back to the original source page on every output.

Enterprise permissions, per-client isolation, and white-label deployment behind your insight brand.

  • Structured librariesSearch
  • Report-level traceabilityCitations
  • Per-client isolationTenancy
  • Usage-based scalePricing
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