Built by data experts from Snowflake, Meta, and LinkedIn. Trusted by leading organizations.
Built by data experts from Snowflake, Meta, and LinkedIn. Trusted by leading organizations.
Built by data experts from Snowflake, Meta, and LinkedIn. Trusted by leading organizations.
Built by data experts from Snowflake, Meta, and LinkedIn. Trusted by leading organizations.
Compliance evaluation
Commercial financing decision
Insurance filings analysis
Custom insights from SEC filings
News article analysis
Roe AI excels in processing large volumes of documents, including financial documents, contracts, and reports.
By automating the extraction and analysis of relevant information from these documents, Roe AI can significantly reduce the time and effort required to ensure compliance.
Roe AI enhances decision-making in commercial financing by automating data analysis, streamlining the review of large number of contracts and financial documents, enable banks make fast and accurate commercial financing in best ROI.
Insights with Scale
Unstructured data source connectivity
VolansDB has built-in data connectors to unstructured data sources such as S3, Snowflake, Box and Google Drive
SELECT Files with SQL
One the data source is connected, you can start query them with SQL.
You can preview the unstructured data such as document content in the user interface.
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Insights with Control
Curate the AI with transparency
Create, and tune the AI agents with no code.
Try different prompt, model and different documents to see how does the AI agent perform on your documents.
Put AI Agents in real battle with SQL
Once the AI agent is ready to go, use the AI agents against your documents in SQL like below.
AI agent works directly on documents and generate the insights for every document in the SQL statement.
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Roe AI v.s Chatbot Solutions
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 documentsPoor 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.
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.
Today, to classify 1000+ videos, multiple teams have to work together to build an ETL pipeline, build ML models and workflows, and finally put the classification results labels into a structured data warehouse
However, it could have been SIMPLER and FASTER. To classify videos with Roe, just one line of SQL.
YOUR superpower TO process unstructured data
background in mlOPS needed
time to GET value from YOUR data
unstructured DATA types SUPPORTED
AI MODELS TAILORED for your data TASKS
Utilize AI to transform and standardize unstructured data. Develop tailored frameworks to systematically categorize and interpret data, ensuring consistency and efficiency in data analysis aligned with your business needs.
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Elevate decision-making across various sectors with advanced classification and recommendation systems. Ideal for retail, content, services, and beyond, adeptly categorize data and tailor recommendations to diverse user needs, enhancing accuracy and user satisfaction.
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Deploy AI for creating, curating, and optimizing content across various platforms, ensuring relevance, engagement, and alignment with brand messaging.
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Revolutionize data management with AI-powered processing of diverse document types. This streamlined approach enhances data extraction and interpretation, significantly simplifying administrative workflows and improving information handling efficiency.
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