Your AI integrator and Configurable Database Platform, delivering AI-powered solutions with Google Gemini to transform your digital operations.
GraceBlocks is a no-code/low-code platform that lets people build business applications without needing to write traditional software. Instead of juggling spreadsheets, disconnected systems, and manual workflows, users can create structured workspaces (called “Blocks”) to store, organize, and automate their data.
Blocks & Zones:
A Block is a modular application for a specific need (like a CRM, applicant tracking, client onboarding, or project management).
Multiple Blocks can live inside a Zone, giving teams an organized environment to manage related processes.
Flexible Data Management:
Users design tables, fields, and relationships in a spreadsheet-like interface.
Supports rich data types (text, attachments, picklists, references, etc.) to fit different workflows.
Automation & Workflows:
Automate routine tasks such as sending emails/texts, creating or updating records, assigning tasks, and generating reports, triggering reminders.
Conditional logic ranges from simple “if/then” to advanced coding options for complex scenarios.
Collaboration:
Permissions let admins control at the row level in terms of who can view, edit, or manage data.
Teams can collaborate in real-time while keeping information consistent and secure.
Scalability:
Starts simple (like replacing spreadsheets), but can scale into a full SaaS-styl system of record solution.
Built on Google Cloud Platform for security and performance.
Use Cases:
HR Operations management
CRM
Inventory Management
Field Services Management
Project and Operations management
Member Database management
ABS/ABX (Account Based Selling) management
Any process that currently “lives in spreadsheets” but needs more structure, or you've tried to fit into a system but it got shoehorend in and you need a more flexible starting point to meld to your vision.
In short, GraceBlocks gives organizations a fast, flexible way to digitize workflows and data management, without the overhead of traditional IT projects.