Consensus vs Iris.ai
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23% Similar — based on 3 shared tags
An AI research engine that provides evidence-based answers from peer-reviewed studies. It displays citations, study designs, and concise summaries for quick verification.
Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.
Feature Tags Comparison
Key Features
- Evidence-Based Answers: Provides answers to questions using evidence from peer-reviewed studies.
- Citations and Summaries: Displays citations along with concise summaries for quick understanding.
- Study Design Insights: Offers insights into study designs to assess the reliability of findings.
- User-Friendly Interface: Features a streamlined interface that makes research easy to navigate.
- Quick Verification: Allows users to verify information quickly to enhance research quality.
- Diverse Research Topics: Covers a broad range of topics in various fields of study for comprehensive insights.
- 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
Use Cases
- Academic Research: Researchers can find peer-reviewed studies to support their academic papers.
- Clinical Decision-Making: Healthcare professionals can access evidence-based information for patient care.
- Market Research: Businesses can utilize insights from studies to inform product development strategies.
- Policy Development: Policymakers can reference research findings to shape informed policies.
- Educational Purposes: Students can use the tool to gather reliable information for projects and assignments.
- Evidence-Based Practice: Professionals can enhance their practice by integrating findings from validated research.
- 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
Perfect For
Researchers, students, and professionals across various industries who require access to reliable, peer-reviewed research for informed decision-making.
enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data
Capabilities
Research Sourcing Professional
Data Verification Advanced
User Engagement Intermediate
Comprehensive Insights Professional
Governed sources Professional
Quality and safety Professional
Policies and guardrails Intermediate
Drift and reporting Intermediate
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