Powered by multi-agent AI

An AI that shows its work. Every time. No exceptions.

Most AI is a black box. You put data in, answers come out, and you have no idea why. That's unacceptable for regulated investment decisions. Trubient is different by design.

The Transparency Guarantee

Every output follows one rule: if you cannot trace it, you cannot trust it.

Source Attribution

Every data point links directly to its source document and page number. Click through to see the original text highlighted.

Honest Gaps

When data isn't available, the AI explains exactly what it searched for and why the information couldn't be found. No fabrication. No guessing.

Full Audit Trail

Every extraction is timestamped and logged. Replay the AI's reasoning at any time. Perfect for regulatory audits and internal review.

Multi-Agent AI: Specialists working together

A single AI model trying to do everything performs poorly at everything. Trubient uses specialized agents—each optimized for one task—coordinated by a supervisor.

Supervisor Agent

Orchestrates workflow, routes tasks to specialists, handles exceptions, and ensures quality control across the entire pipeline.

Document Processor

Handles PDF parsing, OCR, table extraction, and document structure analysis. Converts unstructured files into machine-readable format.

Data Extractor

Uses RAG (Retrieval Augmented Generation) to find specific metrics with contextual understanding. Cross-references related data points.

Notification Agent

Monitors workflow status, alerts on completion or exceptions, routes items requiring human review to the right team members.

Why multi-agent beats monolithic AI

A general-purpose language model is a generalist. It can do many things adequately but nothing exceptionally. For high-stakes financial data extraction, adequate is not good enough. Each Trubient agent is optimized for its specific task. The Document Processor is tuned for layout analysis and table extraction. The Data Extractor is trained on financial terminology and sustainability frameworks. The Supervisor knows when to escalate to human review. The result: higher accuracy, better explainability, and graceful handling of edge cases that would trip up a single model.

15 metrics. 250+ indicators. Your methodology.

Our proprietary framework covers Environment, Social, and Governance pillars aligned with global standards.

Environment

134 indicators — Biodiversity, Climate & Carbon, Energy Management, Resources & Waste, Water Management

Social

102 indicators — Community & Society, Diversity, Health & Safety, Sector-Specific, Employee Matters

Governance

85 indicators — Board Composition, Business Ethics, Corporate Governance, Risk Management, Supply Chain

Enterprise-grade. Open-source foundation.

Built on proven technologies, certified by Google Cloud, deployed through fully automated pipelines.

LLM Models

Fine-tuned for financial documents

Agentic System

Multi-agent orchestration

Google Cloud

Certified partner

Open Source

Auditable stack

See the technology in action

Bring your own document. Watch our agents process it. Ask any question about how it works.

Book a Technical Demo