Database-first
Generate structured tables, field types, relationships, validation rules, and permissions from natural language.
From idea to database, workflows, APIs, dashboards, and AI agents — all from a single prompt.
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.
Build internal tools, portals, workflows, and operational software on one AI-native foundation.
Generate structured tables, field types, relationships, validation rules, and permissions from natural language.
Design approvals, automations, task routing, notifications, SLAs, and business processes without starting from scratch.
Expose secure APIs for integration, automation, portals, AI agents, and third-party systems in seconds.
Turn business data into charts, KPI boards, analytics, and management views automatically.
Every system can come with AI agents that understand your schema, call tools, follow process rules, and act on live business data.
Monitors records, identifies bottlenecks, generates reports, and recommends next actions for your teams.
Launches approvals, routes exceptions, updates statuses, and coordinates multi-step business processes.
Queries system data, summarizes trends, answers operational questions, and generates analytical views.
Creates tables, APIs, dashboards, websites, and automations as your system evolves.
A single workspace for system design, generation, iteration, and deployment.
Tell INFORMAT what you want to build in plain English, from CRM and ERP modules to case management and customer service systems.
The platform creates schema, forms, relationships, permissions, process flows, dashboards, APIs, and websites together.
Adjust fields, update workflows, add integrations, and expand logic through prompt-based iteration or visual configuration.
Run your system with dashboards, access control, APIs, automations, and AI agents that continue working after launch.
INFORMAT acts as the operating layer for business systems — not just a UI builder.
AI drives agents. Agents use skills. Skills operate the actual system layer: database, workflow, API, dashboards, websites, and automation.
Use INFORMAT to build the systems most AI app builders cannot fully handle.
Leads, pipeline, approvals, account plans, sales analytics, and agent-assisted follow-ups.
Tickets, escalations, SLAs, knowledge workflows, automation, and cross-team collaboration.
Supply chain, warehouse, project approvals, compliance records, inspections, and reporting.
Partner portals, staff systems, AI copilots, admin back offices, and role-based data access.
INFORMAT helps teams build enterprise apps with AI: CRM systems, inventory management, employee onboarding, procurement workflows, customer support ticketing, and internal tools that connect data, process, dashboards, APIs, and AI agents.
Generate contacts, companies, deals, sales workflows, dashboards, APIs, and sales agents from one prompt.
SolutionPlan stock tables, warehouse workflows, reorder alerts, approval rules, and operational dashboards.
SolutionBuild HR onboarding checklists, document collection, task routing, status dashboards, and assistant agents.
Free toolCreate a practical CRM data model outline before building the full app in INFORMAT.
Free toolDraft approval, routing, notification, SLA, and exception rules for AI workflow automation.
GuideLearn how a business prompt becomes tables, forms, workflows, dashboards, APIs, and AI agents.
Flexible plans for builders, teams, and large organizations deploying AI-powered systems.
For exploration, prototypes, and proof-of-concept projects.
For small teams starting their first operational system.
For growing teams that need advanced capabilities and scale.
For large teams running high-volume business operations.
For organizations that need dedicated infrastructure and support.
Security, governance, and deployment flexibility are essential when AI is building and operating real systems.
Role-based permissions, auditable processes, and secure system boundaries across business teams.
Run on shared cloud, private cloud, or your own infrastructure with full control over data residency.
Agents work through governed skills and system actions, helping teams move fast without losing oversight.
Designed for teams evaluating AI-native infrastructure for internal tools and enterprise systems.
No. It is designed to generate and operate full business systems, including data models, process logic, APIs, dashboards, and AI agents.
Yes. You can refine the system using prompts, visual configuration, scripts, APIs, and workflow editing.
Yes. Enterprise deployments can run in private cloud or on-prem environments depending on your security needs.
Use AI to design, generate, and operate the system your team actually needs — not just a demo, but the real operational layer.