Hyperscience
By Hyperscience
The typical implementation process for Hyperscience software involves three main phases: Design, Build, and Deploy. The overall duration can vary based on complexity and scale, but typically takes several weeks to a few months.
Sizing and provisioning of Development (DEV) and User Acceptance Testing (UAT) environments.
Production infrastructure sizing.
Hyperscience can be customized to fit specific business needs:
Modular Architecture: Hyperscience's platform is built with modular blocks and workflows, allowing for seamless process orchestration and integration with downstream systems. This modularity enables businesses to tailor the platform to their specific processes.
Custom Supervision: Users can create bespoke task interfaces for human intervention based on business rules, ensuring that human judgment is integrated into automated workflows.
Custom Code Blocks: These blocks allow users to transform and validate extracted data before sending it to downstream systems. They can perform tasks like changing data formats, external data lookups, and adding data to submissions.
Integration Capabilities: Hyperscience integrates out-of-the-box with leading software providers, enabling seamless data exchange and interoperability with existing systems like ERP, CRM, and document management platforms.
Data Field Customization: Users can define data fields and set validation rules to align with their organization's workflows, ensuring that the platform captures and processes data relevant to their business.
Access Permissions: Customizable access permissions allow control over who can view and edit specific data, ensuring sensitive information is protected.
Machine Learning Model Training: Businesses can train ML models using their own data, allowing for tailored automation that fits their unique document processing needs.
Hyperscience offers training and support to new users through several channels:
Hyperscience Academy: This is a dynamic learning platform that provides self-paced learning, hands-on exercises, and certification programs tailored to different roles such as Sales, Pre-Sales, Implementation, and Developer. It includes on-demand learning materials, best practices, and implementation guides to help users master the Hyperscience platform.
Partner Certification Bootcamps: These bootcamps are designed to upskill partners in handling first-level support and driving customer implementations. They cover topics like structured and semi-structured documents, technical infrastructure, and higher-level implementation models.
Consultation & Enablement: Hyperscience provides consultation services to improve workflow practices and automate processes where appropriate. Their customer success team offers deep industry knowledge and support expertise.
Project Management: They assist in developing and managing project plans, ensuring timely milestones and low time-to-value. This includes procuring infrastructure, building layouts/models, and performing quality assurance.
Ongoing Customer Success: Post-implementation, the team continues to work with customers to identify additional areas where Hyperscience can provide excellent ROI.
Forward Deployed Engineers: These engineers help enable business processes within the Hyperscience Platform, reducing complexity. They also assist in building custom flows using the Flows SDK.
Hyperscience implements robust security measures to protect data, ensuring confidentiality, integrity, and availability:
Encryption: Hyperscience uses AES 256 encryption to protect both internal and customer data, whether in transit or at rest.
Access Management: They employ Role-Based Access Control (RBAC) to ensure that access privileges are assigned based on defined roles and responsibilities, minimizing the risk of unauthorized data exposure.
Security Certifications: Hyperscience holds SOC 2 Type II certification and Cyber Essentials Plus certification, validating their security practices and compliance with industry standards.
FedRAMP High Authorization: This authorization demonstrates their ability to handle highly sensitive data, adhering to over 400 stringent security controls.
Proactive Threat Management: They utilize real-time monitoring, Endpoint Detection and Response (EDR), and Security Information and Event Management (SIEM) to detect and respond to threats.
Data Backup and Recovery: Hyperscience employs redundancy, backup processes, and a Disaster Recovery Plan to ensure system availability and data protection.
Hyperscience releases updates regularly, with a structured process to manage these updates:
Major Releases: These occur approximately twice a year, introducing significant new features or improvements to existing ones. Users may need to retrain models and upgrade flows when moving to a new major version.
Minor Releases: These happen roughly every two months and include new features or enhancements while maintaining backward compatibility. No manual action is typically required for these updates.
Patch Releases: These are issued as needed to address bugs or security issues. They are generally compatible with the associated major and minor versions.
Versioning System: Hyperscience uses a versioning system (x.y.z), where x is the major version, y is the minor version, and z is the patch version.
Support Window: Each major version is supported for 18 months, divided into 12 months of full support (addressing security issues, major bugs, and regressions) and 6 months of extended support (security issues only).
Upgrade Process: For SaaS users, upgrades are automated with readiness checks. On-premise users must manually upgrade, often requiring testing in a development environment first.
Hyperscience policy on data ownership and portability is outlined in their agreements and practices:
Licensee Data: The customer retains ownership of all rights, title, and interests in and to the Licensee Data, which includes any data provided or transmitted by the Licensee into the Software and the Licensee-specific output resulting from the Licensee’s use of the Software.
Usage Data: Hyperscience retains ownership of all rights, titles, and interests in and to Usage Data and any modifications and derivative works thereof. However, this does not affect the ownership of Licensee Data.
Hyperscience offers flexible scaling options to accommodate changing organizational needs:
Autoscaling: Hyperscience provides autoscaling capabilities, particularly for SaaS customers, which automatically adjust processing resources based on demand. This feature helps manage unexpected spikes in document processing without manual intervention, reducing the risk of downtime and over-provisioning costs.
Horizontal Scaling: The platform's modular architecture allows for horizontal scaling by adding new nodes to a Kubernetes cluster. This is especially useful for high-volume use cases, enabling the processing of millions of documents daily.
Adaptability: Hyperscience solutions are designed to be adaptable to market changes. For instance, a Fortune 500 insurer was able to reduce processing times by 85% and scale new document types into their workflow in just two weeks, compared to several months previously.
Deployment Options: Hyperscience supports deployment in various environments, including on-premise, private cloud, and fully managed SaaS. This flexibility allows businesses to choose the deployment method that best fits their infrastructure and scaling needs.
The terms and conditions for contract renewal and cancellation for Hyperscience based on available information:
Automatic Renewal: Order Forms typically renew automatically for successive intervals unless either party provides written notice of non-renewal at least 30 days prior to the expiration of the Initial Term or the current Renewal Term.
Renewal Term Duration: The Renewal Term is usually equal to the length specified in the Order Form, unless otherwise agreed upon.
Fees Adjustment: Hyperscience may modify fees for Renewal Terms by providing at least 60 days' written notice before the start of the new term.
Termination Notice: Either party can terminate the agreement by providing 30 days' written notice if the other party materially breaches the agreement and fails to cure the breach within that timeframe.
Immediate Termination: Hyperscience can terminate the agreement immediately if the customer fails to pay overdue fees, becomes bankrupt, or breaches specific terms.
Effects of Termination: Upon termination, all rights and licenses to use the software cease, and the customer must discontinue use and remove all software copies.
Payment Terms: Fees for the Initial Term are invoiced upon execution of the Order Form, while Renewal Term fees are invoiced within 30 days after the start of the Renewal Term.
Late Payment Fees: A late fee may be applied to unpaid amounts, typically at a rate of 1.5% per month or the maximum allowed by law.
Taxes: The customer is responsible for paying all taxes associated with the receipt of services, except for taxes based on Hyperscience's income.
Hyperscience software meets several compliance standards, ensuring high levels of security, data protection, and regulatory adherence:
FedRAMP High Authorization: Hyperscience has achieved FedRAMP High authorization, which is the most rigorous level of security validation under the Federal Risk and Authorization Management Program. This certification allows them to handle highly sensitive, unclassified data such as controlled unclassified information (CUI), law enforcement data, and healthcare data.
SOC 2 Certification: Hyperscience holds SOC 2 certification, which confirms their practices meet standards for security, availability, processing integrity, and confidentiality. This certification provides assurance that their AI infrastructure is secure and reliable.
Cyber Essentials Plus Certification: They also hold the Cyber Essentials Plus certification, the highest level offered under the Cyber Essentials scheme, further demonstrating their commitment to robust cybersecurity practices.
GDPR and UK GDPR Compliance: Hyperscience adheres to European privacy and data protection laws, including GDPR and UK GDPR, ensuring high standards of data quality, integrity, and security.
