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πŸ”¬ Next-generation research

Atiendia Research
Document Corpus Mining

Transform your static document repository into a dynamic discovery engine. Whether it is your personal Zotero library or corporate technical archives.

πŸŽ“ Universities
βš–οΈ Law Firms
🏭 Industrial Companies
πŸ‘¨β€πŸ”¬ Scientists

What is Atiendia Research?

Atiendia Research is a document intelligence engine designed to read, understand, and connect thousands of technical and scientific documents.

πŸ“š Native Zotero integration, and much more

Our pipeline was born to help scientists mine their Zotero libraries (the leading application for bibliographic reference management). However, we are not limited to papers: we process technical specifications, engineering manuals, legal files, and any massive document corpus.

The system goes beyond simple storage or keyword search. It uses advanced large language models (LLMs), knowledge graphs, and vector databases to reason about information:

🧠
STEP 01

Understands Content

The engine ingests PDF/HTML documents and precisely extracts scientific claims, methodologies, and quantitative findings, ignoring noise.

Technology: Semantic Parsing + LLMs
πŸ”—
STEP 02

Connects Ideas

Identifies latent links and non-obvious relationships among thousands of disparate documents, emulating the intuition and serendipity of an expert researcher.

Technology: Vector Embeddings
πŸ’‘
STEP 03

Generates Hypotheses

Reasons about detected gaps and synergies to automatically propose new viable and original research lines.

Technology: Generative Reasoning
βœ…
STEP 04

Validates Novelty

Verifies in real-time if generated ideas are truly new by consulting global scientific databases like Semantic Scholar and OpenAlex.

Technology: Live API Cross-Check

Key Features

Complete discovery and research pipeline

πŸ’‘

Discovery of Connections

The system automatically identifies 3 types of creative relationships between findings:

  • βœ“ Methodological Synergies: Complementary techniques that can be combined
  • βœ“ Potential Applications: Transfer of solutions between domains
  • βœ“ Follow-up Inspiration: Logical next steps in research
Read more
βœ…

Novelty Validation

Automatic originality audit consulting global scientific databases:

  • βœ“ Semantic Scholar: 200M+ indexed papers
  • βœ“ OpenAlex: Multidisciplinary coverage
  • βœ“ Status: NOVEL_BRIDGE (new) / EMERGING_LINK (trend) / KNOWN_LINK (existing) / UNCERTAIN
Read more
πŸ“Š

Structured Output

Graph of validated ideas with enriched metadata:

  • βœ“ Confidence Scores: Viability probability
  • βœ“ Rationale: Explanation in natural language
  • βœ“ References: Links to original and external evidence

Who is this service for?

Ideated for scientists, scaled for enterprises.

🏭
Corporate

Companies with High Document Load

For R&D teams that need to stay updated with patents, technical regulations, and internal reports.

  • β†’ Find hidden antecedents in technical archives
  • β†’ Detect duplicates in R&D projects
  • β†’ Generate new product ideas based on market trends
πŸ‘¨β€πŸ”¬
Academic

Research Groups & PhDs

For researchers who manage thousands of bibliography sources and need to find original gaps.

  • β†’ Literature review in seconds, not months
  • β†’ Suggestion of original hypothesis for papers/thesis
  • β†’ Automatic check of novelty against the state of the art
πŸŽ“

Universities

  • β†’ Identify gaps in institutional corpus
  • β†’ Foster interdisciplinary collaboration
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R&D Startups

  • β†’ Competitive intelligence
  • β†’ Technology and patent monitoring
πŸ‘¨β€πŸ’»

Senior Consultants

  • β†’ Documentary support for critical decisions
  • β†’ Audit of large volumes of reports

Technical Approach

State-of-the-art AI and NLP technology

πŸ”

Hybrid Search

Combination of multiple retrieval techniques:

  • β€’ Vector Search: Deep semantic similarity (embeddings)
  • β€’ Knowledge Graphs: Structural relationships between entities
  • β€’ LBD (Literature Based Discovery): Indirect connections Aβ†’Bβ†’C
🎯

Intelligent Diversification

MMR algorithm to avoid redundancy:

  • β€’ Maximal Marginal Relevance: Balance between relevance and novelty
  • β€’ Coverage: Ideas exploring different problem angles
  • β€’ Anti-clustering: Avoids suggestions too similar to each other
πŸ€–

LLM Reasoning

State-of-the-art language models:

  • β€’ GPT-4 / Claude: Deep contextual understanding
  • β€’ Chain-of-Thought: Explicit step-by-step reasoning
  • β€’ Few-Shot Learning: Curated examples to improve quality
πŸ“‘

External Integration

Academic database APIs:

  • β€’ Semantic Scholar API: 200M+ papers, citation graphs
  • β€’ OpenAlex API: Global coverage, open access
  • β€’ CrossRef: Scientific publication metadata

From "Searching What's Been Done"

↓

To "Discovering What's Left to Do"

Atiendia Research transforms literature review from a reactive, manual task into a proactive, automated process. The system provides a prioritized and filtered list of high-impact research opportunities, backed by exhaustive bibliographic validation.

Request a Demo

Tell us about your document corpus and we'll show you what you can discover with Atiendia Research