SoftlyAI provides Retrieval-Augmented Generation solutions that enable knowledge workers to efficiently access and utilize relevant data through context-aware AI associates. The platform enhances productivity by streamlining workflows for healthcare and finance professionals, allowing for personalized interactions and improved decision-making.
Funding
Funding not disclosed
Founders
Product
Problem
Knowledge workers in healthcare and finance often struggle to efficiently access and utilize relevant data, leading to time-consuming workflows and potentially suboptimal decision-making. Existing solutions may lack context awareness, personalization, and the ability to handle complex queries across diverse data sources.
Solution
SoftlyAI provides AI associates that streamline workflows by enabling knowledge workers to efficiently access and utilize relevant data through context-aware interactions. The platform leverages Retrieval-Augmented Generation (RAG) to provide personalized interactions and improved decision-making for professionals in healthcare and finance. SoftlyAI offers API access for building AI hospital coordinators within digital healthcare services, customizing consultation environments based on medical knowledge, service policies, and content. For finance professionals, SoftlyAI provides an AI assistant for corporate analysis, extracting information from sources like DART and EDGAR, and delivering it in formats readily usable in tools like Excel.
Target Audience
The primary target audience includes healthcare providers seeking to enhance patient interactions and streamline administrative tasks, as well as finance professionals, such as investment analysts and asset managers, who require efficient access to corporate data for informed decision-making.
Features
- Context-aware AI associates that understand and respond to complex queries
- Retrieval-Augmented Generation (RAG) for accessing and utilizing relevant data
- API access for building custom AI solutions within existing platforms
- Integration with data sources such as DART and EDGAR for finance professionals
- Customizable consultation environments based on specific knowledge domains
- Data extraction and formatting for use in tools like Excel
- ISO 27001 compliance and AWS cloud security for data protection