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The DeepSee Platform:

Democratize your data.

DeepSee delivers on the promise of data science to the business user, with real-time analysis and decision support, to reduce cost, mitigate risk, and increase customer satisfaction.

DeepSee delivers on the promise of data science to the business user, with real-time analysis and decision support, to reduce cost, mitigate risk, and increase customer satisfaction.

The first data-driven platform built for business.

Designed specifically for business leaders looking to transform their organization through AI-powered automation. DeepSee’s interoperable solution provides support to enable machine learning insights from dense data.

Our Platform

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Classify, validate, and extract unstructured data types for digitization, labeling, model review and analysis.

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Codify “organizational knowledge” via subject matter expertise automation with easily implemented templates, rules, and logic.

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Train, visualize, and tune AI-derived insights for deeper understanding of your business processes. Enables executives to turn raw information into actionable knowledge.

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How It Works

The DeepSee platform automates extraction and digitization of unstructured data types, supports the application of proprietary and open-source learning models, and provides a pipeline to deliver AI-powered insights to the right systems for immediate action. We call it BusinessAI, and it allows our customers to take theoretical data science and apply it to real-time operations in the enterprise.

Identify your objective

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Reduce Cost:

Associated with day-to-day manual data collection and processing.

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Mitigate Risk:

By automating layers of error-prone, manual human operational practices.

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Improve Customer Satisfaction:

By eliminating mistakes and resolving exceptions more quickly while reducing the reliance on disjointed internal tools and processes.

Define data types

We provide support for most unstructured data types for streamlined data onboarding — PDF, DOC, XLS, JPG, XML, HTML, and Email.

DeepSee automates classification and extraction, while providing real-time NLP and ML applications to extract meaning from dense data.

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Pick method

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Cloud Services:

DeepSee is deployed in the cloud, utilizing best-of-breed microservices, with a well-behaved infrastructure for performance, availability, and resilience.

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Managed Services:

We also offer additional services to streamline data onboarding, business process management design, deployment, and ongoing maintenance.

Specify your requirements

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Data Classification:

Specify the data, documents, and type of classification you’d like to do.

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Modeling:

Select from our pre-packaged machine learning models, bring your own model, or select from available open-source options.

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Results

Select desired outcomes via a custom workflow, API, or RPA.

Configure DeepSee Modules

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Specify the data, documents, and type of classification you’d like to do.

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Select from our pre-packaged machine learning models, bring your own model, or select from available open-source options.

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Select desired outcomes via a custom workflow, API, or RPA.

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DeepSee unites your complex data with your business objectives, fast.

Open Platform

We support models for validation, variance, veracity, plus customers’ proprietary models, as well as most widely available open source models. We also have pre-packaged models to accommodate various customer use cases.

Flexible Integrations

Cloud-based platform designed to work in any modern enterprise—the extensible framework provides support for custom workflow, RPA, and RESTful API integrations.

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Classify, validate, and extract unstructured data types for digitization, labeling, model review and analysis.

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Data Digitization

Streamlined data onboarding. Identify and capture content from most unstructured sources for automated classification and extraction with real-time NLP and ML. Supported formats: JSON, XML, PDF, DOC, XLS, JPG, XML, HTML, Email.

Validation Mapping

Data normalization provides multiple document and linguistic comparison and prediction—in both supervised and unsupervised modes—to eliminate manual processing across document types.

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Codify “organizational knowledge” via subject matter expertise automation with easily implemented templates, rules, and logic.

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Knowledge Preservation

Ensures that your most important information is not only stored in the experiences of key internal team experts, but also captured systematically for ease of use and maintenance.

Consistent Application

With transparent controls, Atlas ensures that the logic your experts define is applied consistently and not subject to erroneous application or misunderstanding. This reduces risk and reduces the amount of time required to train and audit individuals that currently apply this logic.

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Train, visualize, and tune AI-derived insights for deeper understanding of your business processes. Enables executives to turn raw information into actionable knowledge.

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Sentiment Analysis

Leverage text analysis techniques across broad data sets, mine and surface cognitive insights to interpret data and better understand how that data impacts the business (positive, negative, neutral).

Attribute Analysis

Proprietary data crawler technology browses internal repositories and external third-party sources—media, press releases, and business publications—to identify, process, and surface trends for analysis.

Business Process Insights

Data Science models for evaluating unstructured data sets, attribute clustering, outliers, anomalies, and aggregation of trends—then unpacks learnings and delivers catered insights for enterprise action.

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Get started.

Experience the benefits of DeepSee’s AI-powered automation and business insights today.

Request Demo