Cited AI for Sustainability Reporting
Built to make you extraordinarily productive, Claritas ESG is the best way to navigate ESG with AI.
Claritas searches ISSB, CSRD, AASB, and 100+ standards simultaneously—delivering paragraph-level citations and exportable evidence packs. Stop being the human API between frameworks.
What is Claritas ESG?
Claritas ESG is an AI research platform that returns cited answers from sustainability frameworks. Unlike general-purpose chatbots, every response is grounded in official regulatory texts (not the open web) using agentic retrieval-augmented generation. The platform covers IFRS S1/S2 (ISSB), ESRS (CSRD), AASB, GRI, TCFD, the GHG Protocol, and over 100 additional standards, returning paragraph-level citations that link directly to the source clause.
The system is engineered for in-house sustainability managers, ESG consultants, and assurance teams who need to navigate overlapping requirements without hallucination risk. Users rely on Claritas ESG to perform instant gap analyses, generate audit-ready evidence packs, and cross-reference disclosure rules across jurisdictions. The platform supports model-agnostic workflows with no vendor lock-in, allowing teams to toggle between best-in-class AI models from OpenAI, Anthropic, and Google depending on the complexity of the task.
Claritas ESG prioritizes data sovereignty and sustainable compute. By utilizing specialized inference hardware from Groq and Cerebras, the platform delivers low-latency reasoning while reducing energy consumption by up to 90% compared to standard GPU infrastructure—ensuring the tool's environmental footprint aligns with the mission of its users.
You shouldn't have to read 300 pages to answer one question.
Ask once, get cited answers from IFRS, ESRS, TCFD, and 100+ frameworks—without the 20-tab research marathon.
Citation-backed answers
Auditors don't accept "the AI said so." Claritas ESG cites the exact paragraph, page, and source—so reviewers can verify in one click.
Standard AI response
"Based on general knowledge, Scope 3 usually includes…"
Claritas ESG response
"Per IFRS S2, entities disclose Scope 3 emissions and significant climate-related risks…"
ISSB ↔ CSRD/ESRS ↔ AASB mapping, in minutes—not weeks.
See overlap and deltas in plain English—what carries over, what’s incremental, and the exact clauses behind each requirement.
Catch gaps early
Upload a draft disclosure. Claritas ESG flags missing metrics and unsupported claims before your assurance provider does.
Missing Scope 3 category breakdown per IFRS S2.
Enterprise-grade security. Sustainable compute.
Your data never trains our models. Encrypted at rest and in transit. Energy-efficient inference options can reduce compute emissions by up to 90%—so your sustainability tool practices what you preach.
Ask complex questions. Get cited answers.
See how Claritas ESG handles the questions that keep sustainability teams up at night.
Click anywhere to try with this question
Create audit-ready artifacts in minutes.
Four review-ready deliverables: gap analysis, evidence packs, claims substantiation, and an assurance roadmap—built from cited source text.
"As part of our 2030 Roadmap, we guarantee that every shipment is carbon neutral..."
Disclosure Readiness Plan
Generated for multi-region reporting • Assurance-ready workflow
Don't bring a generic chatbot to an audit.
Claritas ESG is designed for verification: curated source libraries, clause-level citations, and review-ready outputs. Your team moves faster because every claim is traceable—not because it's guessed.
Citation-Backed RAG
ChatGPT answers from the entire internet (including Reddit and Wikipedia). Claritas ESG answers only from official texts like IFRS S1/S2, ESRS/CSRD, UK SRS, ASRS (AASB S1/S2), TCFD, and the GHG Protocol. If the answer isn't in the source, we tell you—we don't make it up.
Total Model Freedom
Why pay for ChatGPT, Claude, and Gemini separately? Claritas ESG lets you pick the best model for the job.
Sustainable Compute
Using massive compute power to report on carbon reduction is an uncomfortable irony. Claritas ESG runs on specialized hardware (Groq/Cerebras) that cuts inference energy by ~90%—so your Scope 3 software doesn't blow up your Scope 2 targets.
Compared to standard H100 GPU inference
Curated by Humans, Powered by AI
Our knowledge base isn't a web crawl. It is maintained by sustainability professionals who verify that regulatory updates (like the SB 261 injunction) are reflected in the system immediately.
Supported
The burnout tax is real. ESG teams burn out from the maze—not the mission.
Burnout rate
Time lost to research
Documentation drag
Still on spreadsheets
Sources: Deloitte; KPMG; Oxford Brookes Business School; ESG Today
What global teams do with Claritas ESG
The product stays the same—citations, evidence, and documentation—but the win looks different depending on your seat.
Assurance-ready work without extra headcount.
Frameworks keep multiplying. Headcount rarely does. Centralize the rules so you can focus on impact—not cross-referencing.
Assurance-Ready Evidence Packs
Turn “we think” into “the standard says”—with citations reviewers can verify.
Generate cited methodology notes for boundaries, materiality, and Scope 3 category decisions—aligned to ISSB (IFRS S1/S2), ESRS/CSRD, and AASB S1/S2.
Benefit: Walk into assurance conversations with a traceable evidence trail—without rebuilding your reporting stack.
ISSB ↔ ESRS/CSRD Alignment (Interoperability)
See overlap and deltas in plain English—mapped clause by clause.
Ask how IFRS S2 and ESRS E1 align, where ESRS adds requirements, and what to add to satisfy both—each point backed by the underlying clauses.
Benefit: Stop rewriting the same disclosure three different ways. Reduce rework and keep drafts consistent across regions.
Board-Ready Briefs (with Sources)
Make decisions defensible, not debatable.
Benefit: When finance asks “What is this based on?”, you can answer in one click—with receipts.
Your ESG AI should practice what you preach.
Claritas ESG offers energy-efficient inference options that can reduce compute energy use dramatically—so your sustainability workflows don't come with uncomfortable tradeoffs.
Joules per token (lower is better)
Illustrative midpointsBars use midpoints of reported ranges: Groq ≈ 1–3 J/token; NVIDIA GPUs (A100/H100) ≈ 10–30 J/token. Actual energy varies by model, batch size, and prompt length.
Frequently Asked Questions
What frameworks does Claritas ESG support?
Claritas ESG supports major global disclosure standards including IFRS S1/S2 (ISSB), ESRS/CSRD, AASB S1/S2 (ASRS), UK SRS, GRI, SASB, TCFD, and the GHG Protocol—plus 100+ additional frameworks and regulations.
How do citations work?
Every answer is grounded in source documents and returned with paragraph-level citations. Reviewers can click through to the exact clause, page, and source—reducing verification time and strengthening evidence trails.
How is Claritas ESG different from ChatGPT, Gemini, or Copilot?
Three key differences: • Zero Hallucination Target: We use Grounded RAG on official texts, not the open web. Claritas ESG is built for verification: curated sources, traceable citations, and evidence-pack outputs structured for review. • Model Freedom: Don’t be locked in. Switch between models from OpenAI, Anthropic, Gemini and more to get the best AI for each task. • Sustainable Compute: We provide lower energy inference options (Groq/Cerebras), ensuring your AI use doesn’t inflate your emissions.
Can I upload our draft disclosure and run a gap analysis?
Yes. Upload a disclosure draft, workbook, or report and Claritas ESG will red-line it against selected standards to flag missing requirements and weak evidence.
Is Claritas ESG a replacement for legal or assurance advice?
No. Claritas ESG is a research and documentation layer that accelerates analysis, strengthens evidence trails, and helps teams prepare higher-quality drafts for expert review.
Is my data used to train models?
No. Claritas ESG is designed for sensitive data and does not train foundation models on your content.