About Agenta AI
Agenta AI is a Singapore-registered B2B FinTech company. We build AI tools for ESG, financial, and risk analysis. Our main products are an ESG Search Engine and an ESG Due Diligence Copilot, both designed to help professionals extract defensible answers from complex sustainability disclosures.
Our platform helps financial institutions move from document-level search to structured due diligence workflows. Every answer our system produces is tied back to a specific source document and page, so your team always knows where the data came from.
Vision
We want to make verifiable sustainability intelligence the default for financial decision-making. Not a nice-to-have. The standard.
Mission
We build AI systems that give compliance teams and investors sourced, accurate answers from ESG disclosures. No hallucinations. No guesswork. Every output is traceable.
Why We Built This
We spent a lot of time doing ESG analysis the hard way. Reading 200-page sustainability reports. Tabbing between PDFs to cross-reference a climate commitment made on page 47 of one document against the governance structure described on page 112 of another. Building manual evidence packs for compliance reviews. Documenting sources line by line so someone else could verify the work later.
The frustration wasn't the analysis itself. Analysis is what our team is trained to do. The frustration was the retrieval. Most of the time wasn't spent thinking about what the data meant. It was spent finding the data in the first place. That's a solvable problem. That's what we built Agenta AI to solve.
We looked at what existed. Generic chatbots would give plausible-sounding answers that turned out to be wrong, or at least unverifiable. Basic keyword search missed context. Neither approach worked for the kind of work that needs to stand up to regulatory scrutiny. What we needed was a system that could retrieve the right passage from a complex document and show you exactly where it came from. That's what RAG architecture does well when it's built correctly.
So we built it ourselves. The founding team has the domain expertise (CIIA, CEFA, CESGA certifications, MSc-level financial training) to know what the outputs actually need to look like, and the technical background to build a system that produces them reliably. Agenta AI is the tool we wished existed when we were doing this work by hand.
Our Team
Our team brings together ESG domain expertise, financial industry experience, and advanced AI engineering. We have built systems for data-intensive environments where accuracy, traceability, and compliance are critical. These same principles guide the development of our ESG Search Engine and Due Diligence Copilot.
Our Approach
We build ESG AI systems with financial-grade compliance at their core. Our methodology replaces manual document cross-referencing with a scalable, automated architecture delivered through a three-tier framework:
- Structured Data Ingestion: Aggregates and normalizes fragmented, multi-jurisdictional sustainability disclosures and regulatory filings into a clean, unified data environment.
- Retrieval-Based AI Architecture: Deploys specialized RAG pipelines to eliminate data hallucinations and surface hidden material ESG risk flags.
- Expert-Driven Validation: Maps every data extraction through a proprietary interaction matrix, ensuring outputs are grounded in verifiable facts and aligned with global regulatory expectations.
What we believe
Source citations are not optional.
Auditability isn't a feature. It's the foundation. If you can't trace an AI-generated answer back to a specific document and page, the answer is not usable in a regulated environment. We won't ship outputs that can't be verified.
Domain expertise shapes the technology.
Our founders hold CIIA, CEFA, and CESGA certifications. That background directly informs how the search engine chunks documents, how the due diligence copilot structures its findings, and what constitutes a useful output vs. a convincing-sounding one.
Accuracy over confidence.
It's easy to build an AI that sounds authoritative. It's hard to build one that's actually right. We chose hard correctness over easy-sounding answers. The system is designed to say "not found" when the answer isn't in the document rather than invent something plausible.
Company Details
Ready to Turn ESG Data into Actionable Intelligence?
Discover how the ESG Search Engine and Due Diligence Copilot help your team move faster with sourced, audit-ready analysis.
Request a Demo