Iris.ai vs Sharly AI
Compare research AI Tools
Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.
Sharly AI is a secure research workspace that summarizes and compares documents with citations, supports multi-format uploads like PDF and DOCX plus Notion exports, and emphasizes encryption and no training on your content for faster evidence checking.
Feature Tags Comparison
Key Features
- Governed Ingestion: Connect wikis drives and repos then normalize content with metadata access rules and retention policies for compliance
- Evaluation Workflows: Run automatic metrics and human rubrics to measure accuracy hallucination rate and coverage before launch
- Guardrails and Policies: Define prompts filters and safety limits that block sensitive data flow and unsafe responses in production
- Observability and Drift: Track quality usage and model costs then alert owners when performance moves outside accepted ranges
- Integrations: Use existing vector stores model providers and identity controls so deployments align with current architecture
- Red Teaming: Exercise prompts tools and environments to uncover jailbreaks and leakage risks before go live
- Multi-format upload: Import PDF and DOCX plus Notion exports so the same workflow works across research sources
- Source-backed summaries: Generate summaries with citations so readers can jump to supporting passages and verify claims
- Compare documents: Cross-check multiple documents to surface conflicts matches and missing details for evidence review
- Semantic extraction: Pull topics entities and figures at scale to speed up structured analysis from long files
- Security design: Uses encryption at rest and in transit with a zero-knowledge architecture described on product pages
- No training claim: Pricing page states no training data for LLMs on paid plans which supports sensitive workflows
Use Cases
- Stand up secure knowledge assistants for employees that search approved sources with clear citations
- Reduce support handle time by routing assistants to articles with evaluation backed accuracy and policy bounds
- Enable research teams to explore large archives and synthesize findings with traceable sources for compliance
- Run pilots that compare prompts models and retrieval settings to pick the highest quality approach
- Prepare audit evidence with documented controls and results to satisfy internal and external requirements
- Connect identity and permissions so assistants respect document level access across departments
- Policy briefs: Summarize long reports with citations so stakeholders can verify evidence without reading the full file
- Competitive research: Compare vendor PDFs to spot conflicting claims and missing proof before a decision
- Due diligence: Validate key statements across contracts and memos with cited passages for faster legal review
- Academic review: Extract methods and results from papers then compare findings across multiple studies
- Meeting prep: Turn reference docs into a short cited brief before calls so you ask better questions
- Board updates: Build defensible summaries that link to sources so executives can drill down when needed
Perfect For
enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data
researchers, analysts, consultants, students, compliance teams, legal reviewers, product managers, and knowledge workers who need source-backed document summaries plus secure multi-format uploads
Capabilities
Need more details? Visit the full tool pages.





