Automate everything, fear nothing.
“The biggest single benefit from implementing Agiloft can be described in one word: Efficiency.”
— Kelynn Wang, EMC
What we can do for you
Eliminate Manual Errors: Eliminate errors and duplication of effort by integrating information used by multiple processes in a centralized repository.
Increase Efficiency: Streamline your organization by automating frequently used workflows such as approvals, employee or partner onboarding.
Consolidate Operations: Combine multiple applications under a single, extensible framework that adapts to evolving business needs without the need for programming.
Features
Workflows and Task Templates: Parallel and sequential workflows and required, option or ad-hoc conditions are all supported.
Configurable Business Rules: Validate data, trigger event or time-based notifications, and update data in linked records or external systems.
Prebuilt Integration: Integrated with Word, Excel, email. Active Directory and SAML single sign-on for a seamless user experience. REST/WS API's.
Precise Security: Extensible group permissions provide users with the exact access they need, right down to the field level. Built in support for two factor authentication and SAML integration validated by RSA.
Advanced Search Functionality: Find records that meet any criteria with sophisticated search capability, including historical searching. Drive business rule actions through saved searches.
Built-in Auditability: Historical snapshots display any record as it existed at any point in the past. Complete audit logs capture changes to any record and all types of system events.
“Agiloft is one of the most caring and responsive vendors that I have ever worked with”
— Dave Ross, Cal Poly
Get more information |
Try it now |
Request a demo
What Makes Us Different
- Built on an agile platform for rapid configuration of the most sophisticated requirements, without any coding.
- Available both as a hosted cloud solution and as an in-house deployment.
- Fully extensible, with 10+ out-of-the-box applications and the flexibility to map any custom business process.
- One affordable price that includes all features and functionality. No hidden fees, no surprises.
Flower is a software designed for distributed machine learning, focusing on simplifying the orchestration of Federated Learning tasks. With its wide range of customization features, it caters to both large enterprises and research-centric organizations, ensuring robust capabilities in diverse setups.
Flower offers a seamless environment for training machine learning models across decentralized datasets. By coordinating multiple devices, it reduces the need for data centralization, enhancing privacy. Known for its flexibility, Flower supports a variety of machine learning frameworks, making it highly versatile in integrating with existing systems. Users appreciate its plugin architecture, which allows for extensive customization to meet specific challenges in federated learning scenarios.
What are the standout features of Flower?
- Federated Learning Support: Facilitates model training across decentralized systems.
- High Flexibility: Compatible with multiple machine learning frameworks.
- Plugin Architecture: Allows for bespoke customization per project needs.
- Cross-Platform Operation: Ensures smooth integration over different system environments.
- Privacy by Design: Maintains data privacy by allowing computation without centralizing data.
What benefits can users expect in reviews?
- Enhanced Data Privacy: Enables machine learning without compromising data security.
- Scalable Solutions: Adapts well to both small and large scale operations.
- Cost Efficiency: Reduces data transfer and storage costs by operating locally.
- Customization Flexibility: Provides adaptability for niche use cases.
Flower is effectively implemented within industries such as healthcare and finance where data privacy is crucial. In healthcare, it allows for collaboration between institutions to improve diagnostics without sharing sensitive patient information. In finance, it aids in fraud detection by analyzing distributed data sources securely.