Unlock the value.
Eliminate the vulnerabilities.
Don't search for needles.
Get rid of the hayTM.
Introducing Indāgō Content Analytics
Identify, classify and protect your information assets.
- Assess compliance vulnerabilities to regulatory requirements (GDPR, PHMSA, etc.)
- Enhance information security and mitigate impact of breaches
- Apply intelligent life-cycle governance and improve access controls
- Enable faster, more accurate content search and retrieval by end users
- Accelerate and improve accuracy of scanned document-driven processes
- Achieve and maintain regulatory as well as corporate compliance
Support use cases including litigation, M&A, audits, etc.
Indāgō uses state-of-the-art machine learning to:
Identify what and where your data is
Use Indāgō to search, crawl and profile content across file shares, ECM's, SharePoint and other repositories. Create classification and retention models to identify, classify and protect intellectual property, private, sensitive or other high value data.
Accelerate document-driven processes
Use Indāgō's innovative visual classification and OCR-anchoring to accelerate and automate tasks dependent on scanned images such as invoice processing, loan origination, e-discovery and other operational/engineering/administrative processes.
Drive intelligent data governance
Use Indāgō to search, profile and cluster newly created as well as archival content to power deep analytical insights into the value and vulnerabilities of content and metadata Reduce overall information management costs by eliminating ROT data. Migrate content from file shares and other repositories. Manage and defensibly apply retention policies (age, event-based, rules-based) with manage in-place for ECMs and SharePoint.
Power faster search and retrieval
Use Indāgō to automatically create and enhance content metadata in place with various ECM systems, SharePoint, G-Suite and other repositories to give users faster, more relevant search results. Give SME users the power to "deep dive" into scanned and electronic documents, email attachments, review large documents, etc.
Protect high value information
Use Indāgō to enhance information security, and reduce regulatory and corporate compliance vulnerabilities with regards to private information. Get actionable insight on data that is high value, sensitive or confidential, and which represent a high degree of vulnerability.
Achieve and maintain compliance
Use Indāgō's advanced visualization and faceted-search of machine-generated information to make it easy for subject-matter experts to quickly review various document concepts, themes or extracted data points, and identify compliance vulnerabilities with actionable insights.
Indāgō Cross-Industry Use Cases
■ Information governance
■ Regulatory compliance - GDPR, PHMSA, etc.
■ E-discovery acceleration
■ Business analytics and intelligence
■ Data clean-up, profiling and migration
■ Intelligent capture and process automation
Energy and Utilities
- PHMSA / EHS audits, compliance
- Well / land content optimization
- Asset consolidation
- Lease / royalty agreements analytics
Finance and Insurance
- SEC / OCC / CFPB / GDPR audits and compliance
- Commercial / retail loan origination
- Claims analytics
- Information forensics
Other Industry Examples
- Intellectual property categorization
- Business process outsourcing
- AP Automation
- Engineering / operational assets consolidation
Indāgō : Cornerstone for achieving and maintaining GDPR compliance
■ Assess data protection and GDPR compliance readiness
■ Automatically discover and classify personal data and uncover compliance risk
■ Understand what is privacy-protected vs high value business content vs high risk
■ Enable fast response to Data Subject Access Request, Data Portability, Withdrawn Consent and Right to be Forgotten
An overall data classification exercise is needed to understand where the data resides (on-premise or in the cloud), what the retention periods are, the sensitivity of the data, and whether conflicting regulations apply.
This is particularly challenging for unstructured data, which makes up roughly 80% of all data.
Haystac Delivers Results
|We are Haystac|
|Launched in 2014, Haystac is the creator and developer of Indāgō, one of the most agile, comprehensive, and scalable content analytics software that is used by customers in financial services and insurance, energy and utilities as well as other regulated and non-regulated industries.|
|Haystac’s history with solutions for unstructured data begins with the founding by Haystac's co-founders Mr. Barak Tsivkin and Mr. Eli Zukovsky, of an entity called Solaris Development Inc.’s in Boston in 2003. To this day, Solaris’ strategy continues to focus primarily on the development of custom applications leveraging proprietary applications of machine learning technologies for healthcare, with customers such as Massachusetts General Hospital, Partners Healthcare, Boston Children's Hospital and other similar healthcare providers in the Boston area.
Since its launch in 2014, Haystac continues to focus its own developmental resources towards furthering and differentiating its content analytics offering in areas such as advanced machine learning algorithms, scalability, visual classification, as well as integration with leading ECMs and other unstructured content repositories.
|In addition to a focused direct sales strategy, Haystac invests significant resources in aggressively seeking out and promoting synergistic relationships with leading system integrators and technology vendors.|
Examples of these include strategic relationships established in 2016 with Capgemini (one of the world's foremost providers of consulting, technology and outsourcing services), Access Sciences (a leader in information management and governance, technology, change management, and managed services) and HCL (a global services company that covers the entire gamut of technology solutions and services including infrastructure management, application development, BPO and engineering and R&D services).
Haystac also continues to seek out alliances with complementary technology providers. Successful examples include Google, Oracle, Aodocs, ABBY, BCS Systems and AI Foundry.