Iris.ai

Unify fragmented enterprise data

Iris.ai aggregates and structures data across all enterprise systems — ERP, documents, research, regulations, and patents — into a coherent knowledge graph. This creates a shared, contextualized knowledge layer that understands your business, not just your data.

Eliminates data silos and provides a single source of truth for AI agents and applications.

Ground AI in trusted sources

The platform grounds AI models in trusted sources and domain semantics, eliminating hallucination. LLMs without this grounding produce confidently wrong outputs — a serious risk in regulated industries.

Reduces hallucination and ensures AI outputs are reliable and domain-aware.

Full traceability and explainable reasoning

Iris.ai provides full source traceability and explainable reasoning paths for regulated deployment. Governance is built in as a first-class feature, not an afterthought, so AI outputs can be audited, explained, and defensibly acted upon.

Meets compliance requirements and builds trust in AI-driven decisions.

Validate with subject-matter experts

SMEs and architects provide feedback loops that refine accuracy, relevance, and completeness. Knowledge is versioned and auditable, ensuring the AI reflects real expertise rather than generic model behavior.

Improves accuracy and ensures the knowledge base aligns with expert standards.

Control AI behavior with benchmarks

Outputs are tested against accuracy and compliance criteria, with guardrails that enforce consistency from expert benchmarks. This ensures AI behavior is controlled and aligned with enterprise standards.

Delivers consistent, compliant, and expert-level AI responses at scale.

No vendor lock-in

Iris.ai is model-agnostic, so your knowledge advantage compounds as models improve. You can adapt to the best available AI models without being tied to a single provider.

Future-proofs your AI investments and maximizes flexibility.

• AI Knowledge Foundation for Regulated EnterprisesIris.ai positions itself as an AI knowledge foundation specifically designed for regulated enterprises, focusing on turning complex data into AI you can trust. The platform augments expert knowledge by unifying complex enterprise data to empower next-gen AI agents and applications.
• Three Core ProductsIris.ai offers three distinct products: Axion (from data chaos to AI-Ready intelligence), Neuralith (enterprise knowledge into an AI Engine), and RSpace (precision intelligence for complex R&D). These products address different aspects of knowledge management and AI readiness.
• Ten Years of ExperienceIris.ai highlights its longevity with a section titled 'Iris.ai - ten years later', indicating a decade of operation in the AI knowledge space. This is supported by in-depth case studies and a webinar series on Enterprise AI Alignment.
• Global Leadership and Industry AdoptionThe website claims to be 'POWERING GLOBAL LEADERS ACROSS INDUSTRIES', suggesting that the platform is trusted by leading companies in various sectors. However, no specific customer names or industries are listed on the scraped pages.

• Pricing Information Not DisclosedThe pricing page (iris.ai/pricing) contains the same content as the homepage, with no pricing details, plans, or tiers shown. Users are directed to 'Request a demo' or contact support for more information, but no specific pricing is provided.
• No Specific Integrations ListedThe scraped content does not mention any specific integrations with other software or platforms. While the products are described, there is no evidence of integrations with common enterprise tools like Salesforce, SAP, or Microsoft.
• No Certifications or Compliance DetailsAlthough the company targets regulated enterprises, the scraped content does not list any specific certifications (e.g., ISO, SOC 2) or compliance standards. The only legal pages are Terms of service, Privacy policy, and Cookie policy, but their contents are not shown.
• No Competitor ComparisonsThe website does not mention any competitors or compare its offerings to other AI knowledge platforms. Claims about being a 'knowledge foundation' are made without reference to alternative solutions in the market.

Manufacturing & IP Research

Iris.ai's Axion™ helps manufacturers like ArcelorMittal streamline R&D by ingesting and processing external data, cutting weeks or months from research timelines and enabling review of more patents. It turns fragmented patent and technical document data into structured knowledge for faster innovation.

Public Sector & Crisis Research

With RSpace™, public sector researchers can quickly narrow down relevant papers across disciplines — even in niche topics like avian flu — during time-sensitive crises. This accelerates data collection and project delivery, helping experts manage knowledge gaps in real-time situations.

Telecommunications & Vendor Evaluation

A leading global telecommunications company evaluated 21 vendors and chose Iris.ai because it delivered a fully working solution in just weeks — outperforming all others in technical capability and practical application. Iris.ai's platform enabled rapid deployment of an AI knowledge foundation for enterprise use.

Regulated Industries & Governance

Built for regulated enterprises like energy, life sciences, and professional services, Iris.ai provides full source traceability, explainable reasoning paths, and auditable knowledge graphs. It grounds AI models in trusted sources to eliminate hallucination and meet compliance requirements.

Define the exact aI Research Tools workflow Iris.ai should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.