STM

Next-Gen Content Delivery

An AI-native knowledge delivery system for researchers

An intelligent research content delivery platform that understands research, adapts to users, and accelerates discovery — not just access.

Built around researchers, not files. Every scholarly object becomes enriched, searchable, explainable, and connected — with responsible AI and compliance embedded at every stage.

  • From static publishing to intelligent research delivery.
  • Deliver any scholarly content format — beyond PDFs.
  • Make content discoverable, explorable, and explainable.
  • Use AI to reduce reading time and increase insight.
  • Ensure global compliance, indexing, and preservation.
Content delivery and indexing workflows

Platform pillars

Ten layers of researcher-first delivery

Modern STM delivery requires intelligence, personalization, trust, and interoperability — not just hosting.

Universal content intelligence

Every research object becomes machine-understandable with classification, tagging, extraction, and equation recognition.

AI-powered discovery

Semantic search, concept-based discovery, and cross-disciplinary linking built for how researchers think.

Smart reading layer

Section summaries, key contributions, limitations, and figure explanations to reduce cognitive load.

Personalized research

Adaptive feeds, alerts, and reading paths informed by interests, citations, and career stage.

Knowledge graph engine

Connect authors, institutions, methods, datasets, and topics to reveal lineage and novelty.

Global indexing & compliance

Automated submission to major indexes with OA policy checks and preservation readiness.

Collaboration & annotation

Shared notes, lab collections, and AI-assisted annotations turn reading into team knowledge.

Research integrity signals

Retraction alerts, transparency badges, and statistical red flags for trusted reading.

Multimodal & multilingual

Translations, audio narration, and accessible formats for global research audiences.

Researcher APIs

Integrations for reference managers, lab notebooks, LMS tools, and analytics systems.

Universal content intelligence

Every research object becomes machine-understandable

Automatic classification, section-level tagging, figure extraction, and equation recognition enrich content at ingestion.

Website line: Every piece of research is enriched with intelligence at ingestion.

Journal articles
Books & chapters
Conference proceedings
Preprints
Datasets
Supplementary material
Code & notebooks
Multimedia (figures, videos, audio)

AI-powered research discovery

Discover knowledge the way researchers think — concept first

Move beyond keyword search with semantic discovery, topic clustering, and contextual related work detection.

Researcher experience

  • Find papers explaining this concept
  • Show studies contradicting this result
  • Find datasets used in similar experiments

Researcher experience

Designed for how researchers read, learn, and decide

Personalized discovery, AI-assisted comprehension, and collaboration tools help researchers move faster with confidence.

Website line: Your research feed evolves as you do.

AI reader modes

Section-wise summaries, key contributions, limitations, and figure explanations in context.

Personalized feeds

Adaptive recommendations based on research interests, citations, and career stage.

Collaboration-ready

Annotations, lab collections, and shared reading lists with version-aware notes.

Smart reading layer

Spend less time decoding papers. More time doing research.

Section-wise summaries, key contributions, limitations, and figure explanations reduce cognitive load.

Website line: Spend less time decoding papers. More time doing research.

Quick skim mode
Deep research mode
Teaching mode
Clinical / applied mode

Knowledge graph engine

Understand not just what was published — but how it connects

Citation network analysis, influence scoring, and research lineage tracking connect the full STM ecosystem.

Articles
Authors (ORCID)
Institutions
Funding bodies
Methods
Datasets
Chemicals / genes / diseases

Global indexing & compliance

Publish once. Be discoverable everywhere.

Invisible infrastructure that researchers never worry about — indexing, archiving, and policy validation included.

Google Scholar, Crossref, DOAJ, PubMed / PMC-ready pipelines
Institutional repositories and national archives
Open Access policy validation and funder mandate checks
License clarity (CC variants)
Preservation readiness (LOCKSS / CLOCKSS)

Collaboration & annotation

Turn reading into collaboration

Private and shared annotations, lab collections, and AI assistance convert highlights into insights.

Private & shared annotations
Lab group collections
Institutional reading lists
Inline commenting
Version-aware notes
Annotation summarization and consensus extraction

Multimodal access

Knowledge without barriers

Multilingual, accessible, and mobile-first experiences extend STM reach worldwide.

Multilingual abstracts and AI-assisted translation
Audio narration of papers
Accessible formats (screen readers, dyslexia-friendly)
Mobile-first reading experience

Researcher APIs & integrations

Research content that fits your workflow

Plug into reference managers, lab notebooks, and analytics systems with open APIs.

Reference managers
Lab notebooks
Institutional systems
LMS platforms
Research analytics tools
Content retrieval and knowledge graph APIs

Responsible AI & Trust

Integrity signals built in

Researchers need confidence in what they read. The platform surfaces transparency indicators and integrity alerts without disrupting workflows.

Integrity toolkit

  • Retraction and expression-of-concern monitoring
  • Plagiarism similarity and duplication signals
  • Peer review status and data/code availability badges
  • Ethical approval and transparency indicators

Responsible AI principles

AI that assists, never replaces

Every AI feature is transparent, explainable, and governed by human oversight.

AI assists, never replaces scholarly judgment.
No AI content alteration without traceability.
Explainable outputs only — with provenance.
Human override always available.
Ethics and bias safeguards embedded.