Unstructured Risks Data Platform

Agentic data platform to analyze high quality risk signals from unstructured data for fintechs, e-commerce and banks.

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Risk & compliance engineering, simplified

NO MORE TIME WASTE ON CRAWLING
Extract risk insights from web, social media with a few lines of code

Website	Site Flaws	Shipping	Checkoutable	Counterfeit Risk	Reddit Complaints
www.shoe.com	Grammar mistake	14 days	True	High	Never Shipping
www.acme.com	Missing Policy	3 weeks	False	Medium	Slow Shipping
www.website.com	Fake Address	Not available	True	High	Fake Products

DON'T START FROM SCRATCH
Duplicate preset risk data workflows from the get go

Merchant Risk Workflows

Built the virtual credit bureau for the small merchants

Is it still on? Is it a drop shipper? Is it selling fake shoes?

Product Risk Workflows

Prohibited business, product safety, counterfeits

Bring your own prohibited business policy and enforce 24 x 7.

Document Risk Workflows

Financial statement. Prospectus. Credit Agreement. ISDA Agreement.

Documents-in, Ratios-out, Rules-out.

Batch Processing, Real-time Processing, Asynchronous Processing.
API Driven. Integrate in 1 minute.

SQL BATCH PROCESSING API

REST STREAM PROCESSING API

WEBHOOK ASYNC PROCESSING

MCP (COMING SOON)

Any data

Agentic ontology building & analytics

Empowering mission-critical usecases

Prohibited Business Compliance Workflow

Enforce your prohibited business policy 24 x 7.

AI Agents rapidly gather and synthesize regulatory intelligence from online sources, identifying restricted products and non-compliant sellers in real time.

E-commerce Risk & Growth Signal

Is it still on? Is it a drop shipper? Is it selling fake shoes?

Maps a seller’s entire digital footprint — from storefront to checkout flow — from shipping policy to instagram comments, so you can green‑light trustworthy micro‑merchants with confidence.

Crypto Asset Risk Signal

Do a TSA check on the coin.

Reads token white papers, price charts and community chatter to flag regulation risks, get-rich-quick patterns.

Financial Document Extraction Workflow

Documents-in, Ratios-out.

Transforms dense financial filings into structured datasets—automatically calculating key credit risks from any financial statements.

Data. A

Alternative unstructured data

Social Media, BBB, TrustPilot, Google Maps
Regional prohibited items policies
Search engines
Any website

ROE AI Agents Family

Text/Image/Video AI Agent, Web AI Agent, Document AI Agent
Customizable LLM, customizable prompt
Connect with your own LLM

SQL-Based Agents Workflow

Analyze unstructured data using SQL and AI Agents
SQL API and REST API
Naturally compatible with data pipelines like DBT, Airflow

Any data

Agentic ontology building & analytics

Document	Metadata	Risk Summary	Compliance Rule Validation 1	Compliance Rule Validation 2
Prospectus Fidelity	Management Fee...	Management risks...	...	...
Prospectus Blackrock	Management Fee...	Diversification risks...	...	...
Prospectus Fidelity	Management Fee...	Management risks...	...	...

Structured Compliance

Roe AI excels in processing large volumes of documents, including financial documents, prospectuses.

Roe AI agents can carry the compliance rules and intelligently screen on hefty documents like human, significantly accelerates the time to compliance review.

Document	Filling Date	NAIC	Insurance Type	ROC	Rates
GEICO Filings	Feb 10, 2024	35882	Auto	...	...
Progressive Filings	Mar 5, 2024	24260	Auto	...	...
AAA Filings	Jan 28, 2024	15539	Auto	...	...

Insurance Filings Analysis

By extracting quantitative structured and unstructured data like proposed rate adjustments, historical trends, and methodologies from insurance filings, Roe AI helps insurance companies keep up with the peer pricing competitive insights, approaching DOIs.

Website	Copy Infringement	Grammar Mistake	Offsite Transaction	Violate Rule X	Violate Rule Y
Tuppleware.com	False	None	False	False	False
Tupplewares.com	True	Medium	True	False	True
Tupplewareparty.com	True	High	True	True	True

Merchant Compliance Labeling

ROE AI enables risks team define custom criteria to extract the risk signals from businesses web presence, and consolidate the signals back to the risk modeling.

This dramatically accelerates time to high quality data labeling.

Document	Date	Location	Type	Summary	Risks
Call Transcript	Feb 10, 2024	123 Ave	Auto	...	...
Email	Mar 5, 2024	123 Ave	Auto	...	...
Call Transcript	Jan 28, 2024	123 Ave	Auto	...	...

Loss Data Analytics

ROE AI can analyze the emerging risks and trends from the unstructured loss data with AI Agents and data query.

This allows carriers to better determine the pricing model and lose less money.

Example - build a merchant risk scan workflow

It just takes 3 steps

Define AI Agent Behavior

Run AI Agents on Websites via SQL

Build a Sophisticated Risk Decision Workflow

Step 1: Spin up AI Agents

We have pre-built risk data templates for merchants. You can come up with your own template.

There are many configurations for Web AI Agents, to suit your data team's most picky requirements.

Step 2: Build workflows via SQL

Run the AI Agents we created on a table of URLs via SQL.

ROE AI SQL-based data infrastructure provides a high throughput solutions for unstructured data workloads.

You're in production.

ROE AI SQL is naturally scalable, your SQL code is your production workflow.

Integrate with your bespoke data pipelines like DBT, Airflow, Snowflake, Databricks.

Roe AI v.s Chatbot Solutions

Roe AI

Transparency in everything

Interrogate documents in raw format in your own prompt so that the integrity of the documents is preserved.
The intermediate SQL results are easily accessible.
100% correct math based on SQL aggregation.

Scale without sacrificing quality

Takes < 1 min to process a 100+ page document, without pre-indexing.
Massive parallel processing architecture allows interrogation of 10000+ docs within minutes.
Produce qualitative and quantitative answers that can be aggregated into higher-order, accurate insights.

Chatbot Solutions

Blackbox in everything

Black box parsing documents into text loses the document integrity and discards tables, charts, and images.
Black box on how and which files are retrieved.
The math done by the chatbot cannot be trusted.

Quality degrades with more documents

Chatbots degrades with more documents. Poor in handling 100+ pages long documents.
Only < 5 files are allowed in the chat conversation. More files dramatically lower answer quality.
Only qualitative answers are produced, hard to be plugged into a financial model.

Book a working session today.