Public Launch
GA release with multi-cloud deployment blueprints and billing.
Changelog, improvements, and roadmap milestones for our mission to revolutionize enterprise AI
GA release with multi-cloud deployment blueprints and billing.
Added ability to define placeholder templates ready for embedded placeholder templates for email and SMS communications.
Added number of new integration connectors including Google Workspace, HubSpot, Confluence, SharePoint, and Slack.
Implemented UI designer, now able to build UI on top of services and see UI based on the data stores with instant UI feedback.
Implemented full agent vector store and memory storage capabilities for enhanced AI agent performance.
Introduced changesets allowing deployments based on changeset names for flows and UI bundles.
Chatbot connector introduced to allow flows to respond to chat requests directly.
First draft of the UI builder. Config driven. Now allows deployable UI based on services for data and functionality.
Onboarding our first enterprise cohort with expanded agent tools, environment templates, and audit exports.
Ability to configure agents and vector storage activities within a flow.
Flows triggerable by events. Supports event catalogs and external events from third parties (Example JotForm)
Ability to raise events from an operation handler. Based on pre-defined event contracts.
Ability to deploy generated services to dedicated environments with configurations per environment.
Ability to generate domain logic and application handler logic code via beta version of AI code generation service.
Ability to compile stored code via beta version of the AI code generation service.
Dynamic store for all generated code, initially for domain and application logic.
Listen for and publish events within a flow.
Select and execute Randol operations (microservices) within a flow.
Create new operation contracts and placeholder implementations.
Add new events to the catalog and make them available to flows.
Define and execute operations (dynamic microservices).
Interface to explore and manage dynamic data schemas and their relationships.
Flow surface and activity rendering/updating.
Foundation for UI patterns and service connectivity.
Core component foundation for dynamic workflow orchestration.
Activity/rules engine capabilities and core platform components: auth, DI, logging, data storage, messaging.