DeepSee offers a Knowledge Process Automation (KPA) platform that utilizes semantic modeling and natural language processing to extract insights from unstructured data in real-time. This technology addresses inefficiencies in highly regulated industries by automating complex workflows, reducing operational costs, and enhancing data accuracy.
Funding
$8.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Highly regulated industries struggle with inefficiencies due to the vast amounts of unstructured data trapped within complex workflows. Extracting valuable insights from this data is challenging, leading to increased operational costs, errors, and missed revenue opportunities.
Solution
DeepSee provides a Knowledge Process Automation (KPA) platform that leverages semantic modeling and natural language processing to unlock insights from unstructured data in real-time. The platform's AI-powered automation engine extracts content, classifies data, and predicts labeling, even with limited training data. Business users can directly access, test, train, and deploy domain-specific models on top of private datasets to automate complex workflows. DeepSee's smart applications and composable templates enable users to automate specific use cases, driving better business outcomes and reducing the time to value.
Target Audience
The primary customers are enterprises in highly regulated industries, particularly those in the financial services sector, seeking to automate complex workflows, reduce operational costs, and improve data accuracy.
Features
- No-code interface and pre-configured business process modeling studio for citizen developers
- AI-powered automation engine for content extraction, data classification, and predictive labeling
- Cloud-agnostic deployment with global availability and continuous monitoring
- SOC 2 Type II certified, adhering to rigorous data security standards
- DeepRecon application to mine information channels and prioritize automation opportunities
- DeepGPT application to ask complex questions of unstructured content and processes
- DeepPilot application to automate complex use cases using solution templates