Database-first
Generate structured tables, field types, relationships, validation rules, and permissions from natural language.
AI-native platform for enterprise systems
Build real business systems with AI
From idea to database, workflows, APIs, dashboards, and AI agents — all from a single prompt.
Describe the system you want to build
Agent-first workspace
Not just UI. INFORMAT generates your data model, workflows, APIs, permissions, and operational dashboards.
Why INFORMAT
More than a website builder
Most AI builders stop at pages and forms. INFORMAT creates the operating layer of your business: data structures, process logic, integrations, APIs, dashboards, and AI-powered execution.
1 prompt
Go from idea to working system architecture in minutes.
5 layers
UI, data, workflow, API, and AI agents generated together.
Enterprise
Permissions, process control, auditability, and deployment options built in.
Agent-ready
Digital workers can read data, call tools, and complete business tasks.
Core capabilities
Everything needed to run a system
Build internal tools, portals, workflows, and operational software on one AI-native foundation.
Workflow engine
Design approvals, automations, task routing, notifications, SLAs, and business processes without starting from scratch.
Instant APIs
Expose secure APIs for integration, automation, portals, AI agents, and third-party systems in seconds.
Operational dashboards
Turn business data into charts, KPI boards, analytics, and management views automatically.
AI workforce
Meet your digital employees
Every system can come with AI agents that understand your schema, call tools, follow process rules, and act on live business data.
A1
Operations Agent
Monitors records, identifies bottlenecks, generates reports, and recommends next actions for your teams.
A2
Workflow Agent
Launches approvals, routes exceptions, updates statuses, and coordinates multi-step business processes.
A3
Data Agent
Queries system data, summarizes trends, answers operational questions, and generates analytical views.
A4
Builder Agent
Creates tables, APIs, dashboards, websites, and automations as your system evolves.
Agent Console · School Management System
User → Build a school management system with admissions, attendance, schedules, approvals, and dashboards.
Builder Agent → Creating 12 tables, 4 workflows, 18 APIs, 3 dashboards, and role-based permissions.
Workflow Agent → Added student leave approval and enrollment review flows.
Data Agent → Suggested KPI dashboards for attendance rate, enrollment conversion, and teacher workload.
System Output
• Tables: Students, Teachers, Courses, Classes, Attendance, Applications...
• Workflows: Enrollment Review, Leave Approval, Schedule Change...
• APIs: Student Sync, Attendance API, Parent Portal Access...
• Agents: Admissions Copilot, Operations Analyst, Report Assistant
How it works
From prompt to production-ready system
A single workspace for system design, generation, iteration, and deployment.
1
Describe your business problem
Tell INFORMAT what you want to build in plain English, from CRM and ERP modules to case management and customer service systems.
2
Generate the system foundation
The platform creates schema, forms, relationships, permissions, process flows, dashboards, APIs, and websites together.
3
Refine with AI or manually
Adjust fields, update workflows, add integrations, and expand logic through prompt-based iteration or visual configuration.
4
Deploy and operate
Run your system with dashboards, access control, APIs, automations, and AI agents that continue working after launch.
Enterprise system OS
A platform architecture your CTO will understand
INFORMAT acts as the operating layer for business systems — not just a UI builder.
System graph
AI drives agents. Agents use skills. Skills operate the actual system layer: database, workflow, API, dashboards, websites, and automation.
AI PromptBusiness intent
AI AgentReasoning + execution
Skills / ToolsSchema, workflow, API, analytics
System LayerData + logic + interfaces
Live OperationsUsers, reports, integrations, automation
Ideal use cases
Use INFORMAT to build the systems most AI app builders cannot fully handle.
01
CRM and revenue operations
Leads, pipeline, approvals, account plans, sales analytics, and agent-assisted follow-ups.
02
Case and service management
Tickets, escalations, SLAs, knowledge workflows, automation, and cross-team collaboration.
03
Operations systems
Supply chain, warehouse, project approvals, compliance records, inspections, and reporting.
04
Portals and internal tools
Partner portals, staff systems, AI copilots, admin back offices, and role-based data access.
Pricing
Start simple, scale to enterprise
Flexible plans for builders, teams, and large organizations deploying AI-powered systems.
Starter
For exploration and early prototypes.
$0/month
- Basic AI system generation
- Core tables and forms
- Community support
- Shared cloud workspace
Pro
For teams building real operational systems.
$20/user / month
- Advanced workflows and automations
- API generation and integrations
- Dashboards and analytics
- AI agents and operational copilots
Enterprise
For security, scale, and private deployment.
Custom
- Private cloud or on-prem deployment
- Advanced permissions and governance
- SSO, audit, and enterprise support
- Custom AI agent architecture
Trust & security
Built for serious business workloads
Security, governance, and deployment flexibility are essential when AI is building and operating real systems.
Enterprise-grade access control
Role-based permissions, auditable processes, and secure system boundaries across business teams.
Deploy your way
Run on shared cloud, private cloud, or your own infrastructure with full control over data residency.
AI with operational control
Agents work through governed skills and system actions, helping teams move fast without losing oversight.
FAQ
Questions decision-makers usually ask
Designed for teams evaluating AI-native infrastructure for internal tools and enterprise systems.
Is INFORMAT just another app builder?
No. It is designed to generate and operate full business systems, including data models, process logic, APIs, dashboards, and AI agents.
Can we customize everything after generation?
Yes. You can refine the system using prompts, visual configuration, scripts, APIs, and workflow editing.
Can we deploy in our own environment?
Yes. Enterprise deployments can run in private cloud or on-prem environments depending on your security needs.
Start building
Turn your next idea into a working business system
Use AI to design, generate, and operate the system your team actually needs — not just a demo, but the real operational layer.