Iris.ai vs Kagi

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Shared:researchanalysisinsights

Iris.ai

Enterprise retrieval and evaluation platform for secure agentic AI over private corpora with workflows for ingestion testing and governance.

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Kagi

Kagi is a paid private search engine with no ads that offers fast results customization and an integrated assistant with multiple models plus lenses and privacy technologies like Privacy Pass.

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At a glance

Iris.aiKagi
PriceCustom pricingFree trial / From $5 per month
DifficultyBeginnerBeginner
TypeWeb AppWeb App
StatusActiveActive

Iris.ai — 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

Kagi — Key features

  • Ad free results with ranking you control via lenses site boosts and filters for faster trustworthy research
  • Assistant with many models selectable per thread for mixed tasks and budget control
  • Privacy Pass and onion access for anonymous requests where supported
  • Starter plan with 300 searches for light users and unlimited on Professional
  • Family and Team plans with central billing and allowances
  • No billing for months with zero use through fair pricing credits

Iris.ai — Best for

  • 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

Kagi — Best for

  • Academic research where forum or paper lenses speed discovery without sifting ads
  • Competitive analysis where site boosts prioritize trusted sources and docs
  • Daily browsing for professionals who want privacy speed and clean SERPs
  • Developers who need fast documentation searches across ecosystems
  • Writers who gather sources without ad clutter and trackable links