Consensus
AI research engine that answers questions with evidence from peer-reviewed studies, showing citations, study design, and summaries you can verify quickly.
Iris.ai
Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.
Feature Tags Comparison
Only in Consensus
Shared
Only in Iris.ai
Key Features
Consensus
- • Evidence-based answers with citations and study design
- • Pro searches that read full texts for deeper synthesis
- • Filters by topic outcome and study characteristics
- • Snapshots and summaries you can export to notes
- • Account tiers for individuals academics and teams
- • Interface designed to keep verification one click away
Iris.ai
- • 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
Consensus
- → Orient a lit review with quick evidence snapshots
- → Brief executives with short answers plus citations
- → Check whether claims are supported by controlled trials
- → Find meta-analyses and systematic reviews fast
- → Compare outcomes across interventions or protocols
- → Export concise notes for papers worth a deep read
Iris.ai
- → 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
Consensus
students clinicians researchers policy analysts product managers and writers who need fast evidence-first answers with links to papers
Iris.ai
enterprise knowledge leaders compliance teams information security and platform engineers who need measurable safe retrieval over private data
Capabilities
Consensus
Iris.ai
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