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AI @ IRIS

Grounded in Financial & Regulatory Expertise

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regulators

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enterprises

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Filings

0 Mn+

Every filing teaches it. Domain experts shape it.

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Trusted. Consistent. Confidential.

Our AI is designed to reduce the variability of general-purpose AI, delivering more consistent responses across the same inputs. Built by domain experts, engineers, and quality reviewers working together to enable AI outputs that are consistent, explainable, and defensible.

People

Chartered Accountants, CPAs, finance practitioners, regulatory analysts, and data quality experts who are closely involved across development and validation.

Knowledge

Decades of financial knowledge, from both sides of the regulatory relationship, inside the company and inside the regulator.

Tech

Our AI stack is engineered to work at the scale a regulator or an enterprise actually needs.

Experience

Twenty-five years of serving 55 jurisdictions and 30+ regulators. Proof this wasn’t built last year.

OUR AI PRODUCTS

STRUCTURED REPORTING

Powered by AI trained on publicly available filings and guided by subject matter experts, our products convert reports into accurately tagged XBRL/iXBRL reports — in line with the relevant taxonomy and filing rules, without compromising deadlines or quality.

CARBON Lite

PDF → iXBRL
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IRIS INSTANT

PDF → XBRL

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DISCLOSURE INTEGRITY

Niti AI

Embedded in IRIS Carbon’s Disclosure Management Platform

Niti AI runs as a set of specialised agents for drafting, summarising, peer-benchmarking, and anomaly detection, working on the same report together that an enterprise produces for its regulators and investors.

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Our AI Frameworks

Regulatory Intelligence Framework

RegAI is the agentic framework built for compliance monitoring and benchmarking across regulators, exchanges, and enterprises.

Our Core capability: The ability to build a validated knowledge repository from regulatory rules and filings to power both early risk detection, compliance scoring and comparison of how disclosures stack up against peers.

Built for any domain: At the heart of our framework is a proprietary rule-creation engine that auto creates rules from regulatory documents across any domain or jurisdiction. This creates a solid foundation for subject-matter experts to build on and apply their judgement to.

Leveraged by Regulators and Enterprises: The same validated repository is ready to be leveraged by both regulators and enterprises and hence, integrating directly into each side’s own reporting workflows.

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Intelligent Document Parser (IDP)

IDP parses and interprets financial and regulatory information with the accuracy and consistency enterprises and regulators both require.
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  • Domain Knowledge: Understanding a restatement, related-party transaction, or one-off event takes more than pattern matching.
  • Purpose built model: Our Small Language Models (SLMs) draw on two decades of financial expertise and data experience to understand financial context.
Designed for precision: Instead of relying on general-purpose AI models alone, AI @ IRIS is built to interpret financial reports with greater accuracy and context each report requires.
AI @ IRIS is purpose-built for the Reporting Lifecycle; it’s engineered into our technology stack from the data layer up.

Smart enough to read it. Aware enough to understand it. Trusted enough to act on it.

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Brand Evolution
Same Roots. New Hues. Meet IRIS in its new avatar.
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