MottoLogic.ai AI Applications at Scale
Enterprise-ready backend infrastructure with built-in authentication, role-based access control, and multi-tenancy. Deploy secure, scalable AI applications with clean architecture and industry best practices.
// Secure multi-tenant authentication with RBAC
const authenticateUser = async (credentials: LoginDto) => {
const user = await userRepository.findByEmail(
credentials.email,
credentials.tenantId
);
// Verify permissions with role-based access control
const permissions = await rbacService.getUserPermissions(
user.id,
user.tenantId
);
return {
token: generateJWT(user),
permissions,
tenant: user.tenant
};
};Enterprise Features Built for Scale
Everything you need to build secure, multi-tenant AI applications with confidence.
Multi-Tenancy
Complete tenant isolation with row-level security, ensuring data privacy and compliance across organizations.
Authentication & Authorization
JWT-based authentication with comprehensive RBAC system for granular permission management.
Role-Based Access Control
Flexible RBAC with modules, menus, features, and actions for fine-grained access control.
Clean Architecture
Domain-driven design with clear separation of concerns following SOLID principles and best practices.
Enterprise Database
PostgreSQL with Prisma ORM, migration tracking, and optimized queries for high-performance operations.
Production-Ready
Built with TypeScript, Express, and Inversify IoC for maintainable, scalable enterprise applications.
From Spec to Production in Minutes
Our OpenAPI specification serves as the single source of truth. Generate SDKs, validate requests, and build integrations with confidence.
Download OpenAPI Spec
Get the complete API specification in YAML or JSON
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Test with Swagger UI
Interactive testing before writing any code
components:
schemas:
AnalysisResponse:
type: object
required:
- status
- data
properties:
status:
type: string
enum: [success, error]
data:
type: object
properties:
id:
type: string
example: "req_abc123"
result:
$ref: '#/components/schemas/Result'
processing_time:
type: string
example: "87ms"Interactive API Explorer
Try our API endpoints directly from the documentation with Swagger UI.
Request Body
{
"text": "string",
"options": {
"sentiment": true,
"entities": true,
"summary": true
}
}List available AI models
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