Table of Contents

Hypergene Flow

Hypergene Flow is a low-code platform for building AI agents, data integrations, and automating workflows.

Hypergene Flow — build workflow automations using drag-and-drop

AI agents

  • Leverage AI models from Microsoft Foundry, OpenAI, Anthropic, Google VertexAI, and Mistral to build AI agents that interact with users and business systems
  • Build a mesh of agents that work together to complete complex tasks
  • Create agents and tools that can be used by external systems like Teams, Excel, and custom business apps
  • Automate knowledge work such as data analysis, reporting, and information lookup
  • Control how agents access data and systems to ensure security and compliance
  • Combine AI reasoning with business data to deliver relevant and contextual information

Connect data and systems

  • Connect to ERP systems, databases, APIs, and cloud services
  • Extract, transform, cleanse, validate, and enrich data from disparate data sources
  • Build unified data models for reporting and analysis
  • Connect business applications through APIs and services
  • Orchestrate operations and move data between systems

Workflow automation

  • Automate manual tasks and workflows
  • Monitor and respond to events or state changes in external systems
  • Coordinate actions across multiple systems and services
  • Schedule and run recurring processes without manual intervention

Financial calculations and automation

  • Build financial models as chains of calculations, business rules, and data operations in visual diagrams
  • Automate finance tasks such as accounts payable, accounts receivable, account reconciliations, financial statement preparations, budgeting and forecasting, credit risk scoring, month-end close, audit, and more
  • Perform advanced calculations and data operations on large volumes of data at high speed

Decision engines

  • Build decision engines for any type of business area, including finance, operations, IT, HR, sales, and marketing
  • Track how and why each decision was made for transparency and compliance
  • Automate complex decision-making based on data and conditions
  • Centralize and manage business rules so they're easy to update