Enterprise Evidence Synthesis Platform

AI Insights You Can Verify.

Dorlines helps researchers, enterprises, and regulated teams synthesize scientific evidence at scale. With traceable citations, configurable workflows, and enterprise-grade security, it delivers AI-powered insights anchored in verifiable source material — not hallucinations.

app.dorlines.com/workspace
Evidence Synthesis
RSV Vaccine Comparative Efficacy Review
Complete
Sources Analyzed
2,847
Sample: clinical trials, meta-analyses
Claims Extracted
12,439
Sentence-level citations linked
Confidence Score
94.2%
Based on evidence consensus
Key Findings

"mRNA vaccines demonstrated strong pooled efficacy against severe RSV disease in older adult populations."

Sample CitationDemo DataVerified

"Protein subunit approaches showed comparable safety profiles with varying efficacy estimates."

Sample CitationDemo DataVerified

Built for research-driven organizations

Pharma R&D
Academic Research
Clinical Trials
MedTech
Government

The volume of scientific literature is growing exponentially.

Dorlines is building the infrastructure to help researchers reason across the expanding frontier of knowledge — without sacrificing rigor, traceability, or intellectual integrity.

0M+
Research Sources Connected
0x
Faster Than Manual Review
0+
File Formats Supported
0K+
Documents Per Workflow

General-purpose AI isn't built for evidence synthesis.

ChatGPT and other LLMs are designed for conversational answers, not traceable evidence reviews. They hallucinate sources, can't cite at the sentence level, and aren't auditable enough for regulated teams.

No traceable citations back to source material
Hallucinated references and fabricated statistics
Data shared with model training pipelines
Can't process thousands of documents systematically
No audit trail for regulatory or compliance review
The Platform

Evidence synthesis, reimagined.

Traditional literature reviews take months and rely on manual extraction from hundreds or thousands of documents. Dorlines compresses that process into hours while maintaining — and often exceeding — human-level accuracy.

Our proprietary extraction engine processes scientific documents at scale, identifies evidence relationships across papers, and constructs structured synthesis reports with full traceability back to source material. Every claim is cited. Every insight is verifiable. No black boxes.

Process 10,000+ documents in a single workflow
Sentence-level citation linking to source material
Cross-document evidence relationship mapping
Configurable extraction pipelines for any research domain
Designed for SOC2 compliance with data residency options
dorlines / evidence-synthesis
Query

"What is the comparative efficacy of mRNA vs. protein subunit vaccines for respiratory syncytial virus in adults over 65?"

Evidence Found
2,847 sources
847
Clinical Trials
234
Meta-analyses
1766
Case Studies
Synthesis Report
Complete

"Based on analysis of 2,847 sources, mRNA-based RSV vaccines demonstrated strong pooled efficacy compared to protein subunit approaches across multiple study populations..." [Source: Sample Citation, Demo]

How It Works

From raw evidence to verified insight

Dorlines's five-stage pipeline transforms thousands of unstructured documents into structured, traceable, and citable research outputs.

Ingest
Upload documents
Analyze
AI reasoning
Synthesize
Cross-reference
Verify
Source-link claims
Report
Traceable output
Core Capabilities

Built for rigor. Designed for speed.

Every feature in Dorlines exists to serve one goal: helping research teams move from question to verified answer faster, without cutting corners.

Evidence Search

Search across millions of research artifacts using semantic reasoning. No perfect keywords required — Dorlines understands concepts, mechanisms, and experimental context to surface the most relevant evidence.

Research Reports Engine

Generate structured research briefs using evidence synthesis workflows inspired by systematic review methodology. Customize scope, evidence weighting, mechanism focus, and population parameters.

Systematic Review Automation

Automate screening, extraction, and structured evidence comparison across thousands of studies while maintaining full traceability and auditability. Designed to dramatically reduce processing time.

Knowledge Library

Store, tag, and version evidence sources across projects. Build institutional research memory — not just project folders. With cross-project search and team collaboration built in.

Evidence Alerts

Continuously monitor new publications and emerging evidence signals. Get notified on topic drift, emerging research directions, evidence contradictions, and breakthrough publications.

Research Agents

Autonomous AI agents that power complex research workflows — from competitive landscape analysis to broad topic exploration. Configure guardrails, set scope boundaries, and let agents do the heavy lifting.

Traceability

Never lose the source.

The fundamental problem with AI in research is trust. When a language model generates a claim about drug efficacy or clinical outcomes, how do you know it's real? Dorlines solves this at the architecture level.

Our proprietary extraction engine preserves the semantic link between every generated insight and its original evidence. Click any claim to view the highlighted source text in its original context — down to the exact paragraph, table cell, or figure caption.

  • Sentence-level attribution across all generated content
  • PDF layout preservation with interactive highlighting
  • Cross-document evidence synthesis with provenance chains
  • Automated bibliography and citation export (APA, Vancouver, BibTeX)
  • Confidence scoring based on evidence quality and consensus
Live Preview

"mRNA vaccines demonstrated strong pooled efficacy against severe RSV disease in older adult populations."

Sample Citation, Demo Data

"Protein subunit approaches showed comparable safety profiles with varying efficacy estimates across populations."

Sample Citation, Demo Data
12 citations linked
Confidence: High
SOC2 Compliant
Built to meet enterprise security standards
HIPAA Aligned
Designed for healthcare data requirements
Data Residency
Choose where your data lives
SSO / SAML
Enterprise identity integration
Security

Security by design, not by afterthought.

Built for the most highly regulated industries on earth. Your proprietary research data never leaves your secure tenant, and is never used to train our foundation models. Period.

Dorlines is designed with strict data isolation between enterprise tenants, end-to-end encryption for data in transit and at rest, and comprehensive audit logging. For defense and government clients, we plan to offer air-gapped deployment options with no external data dependencies.

Why Dorlines

What sets us apart

Most AI tools generate plausible-sounding text. Dorlines generates verifiable evidence synthesis. Here is why research leaders choose us.

Accuracy

Purpose-built for scientific reasoning. Significantly more accurate than general-purpose AI on evidence extraction tasks.

After your last synthesis
All claims verified against source
12 citations linked
Confidence score: 94%

Scale

Process 10,000+ documents in a single workflow. What takes teams months, Dorlines accomplishes in hours.

Growing with your research
Ready for 10,000+ documents
Parallel processing pipelines
Batch evidence extraction
Enterprise-grade throughput

Speed

Designed for speed at scale. Stays fast as your evidence library grows, not slower six months later.

PerformanceLive
Avg. synthesis time
2.4s
Documents/min
120+
Response timeOptimal
Industries

We live in a scientific world

Dorlines supports researchers, analysts, and decision-makers across the world's most evidence-intensive domains.

Pharmaceuticals

Accelerate target validation and clinical strategy. Streamline drug discovery with AI-powered evidence synthesis across clinical trials, regulatory filings, and safety databases.

Academic Research

Scale literature reasoning and discovery mapping. Transform how universities and research institutions conduct systematic reviews, meta-analyses, and grant applications.

Medical Technology

Evidence-backed device validation and safety analysis. Build comprehensive safety and efficacy cases for regulatory submissions, post-market surveillance, and clinical evaluations.

Government & Defense

Intelligence analysis and strategic assessment. Process research at scale with strict access controls and data isolation designed for sensitive environments.

DorlinesEvidence EnginePubMed37M+Clinical TrialsRegistryPatent DBGlobalPreprintsarXiv/bioRxivSemanticScholarYour DataPrivate

We connect every evidence source.

Dorlines integrates with the world's largest research databases so you don't have to choose between breadth and depth. One platform, all sources.

From PubMed's 37M+ biomedical citations to clinical trial registries, patent databases, preprint servers, and your own proprietary data — Dorlines indexes, structures, and makes it all searchable in one unified evidence layer.

Getting Started

Three steps to verified insights

From raw documents to structured, citable research outputs in minutes — not months.

1

Upload your documents

Drop PDFs, DOCX, or connect your reference library. Dorlines ingests and structures everything automatically.

Project
RSV Vaccine Review
Sources
2,847 documents
Format
PDF, MEDLINE, RIS
2

We synthesize and verify

Our AI extracts evidence, links citations, and builds a traceable synthesis report from your sources.

Synthesizing your evidence
Extracting claims from 2,847 sources
Cross-referencing evidence patterns
Linking citations to source material
Building structured synthesis
Scoring confidence levels
3

Review and export

Get a fully cited synthesis report. Click any claim to see the source. Export to any format.

Export
Use Cases

Built for the most demanding research workflows

Systematic Literature Reviews

Compress months of manual screening and extraction into hours. Dorlines automates evidence identification, quality assessment, and structured data extraction across thousands of studies — with full traceability to source material.

Hours instead of months

Regulatory Evidence Packages

Build comprehensive evidence dossiers for regulatory submissions. Every claim is automatically linked to its source document, making audit trails seamless and reducing compliance risk for pharmaceutical and medical device teams.

Full citation traceability

Competitive Intelligence

Monitor and synthesize emerging research across your therapeutic area or technology domain. Dorlines continuously tracks new publications, patent filings, and clinical trial results — surfacing insights that matter to your strategy.

Continuous monitoring
Dorlines vs. Traditional Methods

A fundamentally different approach

Capability
Traditional Review
Dorlines
Literature processing time
3-6 months
Hours
Document capacity per review
200-500 papers
10,000+ papers
Citation traceability
Manual, error-prone
Automatic, sentence-level
Cross-document synthesis
Human interpretation
AI-assisted with verification
Reproducibility
Low (reviewer-dependent)
High (configurable pipelines)
Cost per systematic review
$50,000-$150,000
Significantly less
Real-time evidence monitoring
Not feasible
Continuous alerts
FAQ

Frequently asked questions

Start your evidence synthesis journey

Ready to transform your research?

Join research teams using Dorlines to synthesize evidence at scale. Schedule a personalized demo and see how Dorlines can accelerate your research pipeline.