Although Topos Labs has a focus on finance and security, the possibilities with Gracie are endless. Anywhere there is unstructured text we deliver powerful results.
“Topos Labs accomplished more in a demo than Watson did in a year with a million dollars.”
Tech Executive – Top 5 Healthcare Company
“Using Topos software we built an amazing new data product that our advertisers love, without any programming.”
Sara Gutterman – CEO, Green Builder Media
”Topos increased the accuracy of our client’s data by 600% in just three weeks.”
Matthias Kehder – CEO, Modern Analytics
DIGITAL CONTENT CAN BE RISKY BUSINESS
Managing content risk is essential to maintaining and operating a secure computing environment. This starts with obtaining a comprehensive and detailed understanding of what data you have, where it is, and who has access to it. Next, you must delve even deeper to identify any hidden risks inside individual documents, emails, messaging and databases in order to truly ensure a healthy and secure enterprise. The brutal truth is, you can’t mitigate risk if you don’t know the number and nature of the risks you face. And manually reviewing all of this data is an impossible task for humans. Gracie to the rescue.
Gracie rapidly scans documents and content of any kind, in any location, classifying the nature of each document, and detecting and grading potential risks found within them. Gracie recognizes dozens of document types (such as resumes, patents, legal documents, programming languages), and hundreds of other risks lurking in your data like personally identifiable information (PII), intellectual property, fraud, trade secrets. By scanning and locating these risk, Gracie’s helps you avoid major liabilities like data breaches, cyber-attacks, data loss, litigation and lawsuits, non-compliance penalties and fines, and loss of reputation. What’s more, Gracie’s patented platform offers dozens of easily-applied analysis filters and allows users to create their own to meet their unique content risk requirements.
FINANCIAL RISK RADAR
One of the keys to successful investing and the protection of wealth is the ability to quickly and accurately identify risk factors. Given the massive and rapid geopolitical, cultural, and technological changes taking place in our global economy, the number and nature of risks facing businesses has never been higher. Everyone is looking for an edge that allows them to identify and side-step these risks faster and more accurately than the rest. Enter Gracie.
Gracie for Finance discovers and categorizes hidden risk factors found in both enterprise data and public data sources including 10-Ks/10-Qs, social media, RSS feeds, databases, financial statements. Gracie’s versatility enables customers to focus on what’s important to them. For example, some use cases call for the ingestion of public data to proactively discover events that will disrupt supply chains, expose a company to litigations, fines or loss of reputation, etc. Others may use Gracie to automatically read and interpret lengthy corporate filings to sniff out uncertainty, fraud, or attempts to mask risk factors from the public. When it comes to automating qualitative analysis of text to make sound investment decisions, the smart money is on Gracie.
CLINICAL REVENUE MINING
‘Intelligent Billing’ is often cited as a top priority for providers, where revenue-to-profit ratios continue to come under extreme pressure. The rapidly changing healthcare billing landscape underscores the need for a dynamic platform that allows providers to respond quickly to insurance inquiries to avoid compliance penalties, denied claims, and large fines.
Gracie can scan clinical notes and ﬂag errors, omissions and other potential denial risks to pre-empt problematic audits, greatly reducing denials, ﬁnes, claw-backs and administrative overhead. Enabling the mining of clinical and surgical notes for correct coding or MIPS compliance to capture lost billings, Gracie helps providers recoup previously unrealized revenues.
In recent years, the healthcare industry has migrated from paper to electronic health records (EHRs) to improve efficiency and enable knowledge sharing and discovery. While this shift has generated massive amounts of digital information, most of it is in the form of unstructured clinical and surgical notes that are costly and time consuming to work with. As a result, the full promise of digitized records has remained unrealized, until now.
Gracie reads and interprets all kinds of text-based content (from medical notes and documentation to published research papers, documents and even social media content) to assist medical practitioners and researchers in finding new insights that would be impossible for humans.
EHR PII REDACTION
One of the biggest challenges facing the healthcare industry during this race to digitization is the need to maintain patient privacy. HIPPA regulations, liabilities, and potential lawsuits and fines have had the unintended consequence of data paralysis, whereby critically important health information is difficult to access, share and work with. New thinking and new technologies are needed to overcome this challenge in order to improve overall efficiency, drive down administrative costs, and optimize patient outcomes.
Gracie offers a PII Cloak module that de-identifies patient records, including unstructured clinical notes. This feature reduces risk and unlocks the unrealized potential of these records, making it easier to perform research, find new treatments, detect fraud, and optimize claims approvals.
In addition to our predominant markets, Gracie has achieved success in a wide variety of use cases including:
Natural Language Query (NLQ)
Survey Analysis & Trending
Endpoint Data Analytics
E-discovery of Document Type and Content