Build custom applications with a powerful backend as a service platform.
TaruviBase brings databases, authentication, APIs, security, integrations, and AI development support together in one managed platform, giving you the foundation to build custom applications without creating the backend from scratch.
Whether you're developing software, building with AI, or replacing existing business applications, TaruviBase provides the flexibility and infrastructure to bring your project to life.
See TaruviBase in action, enterprise backend as a service.
A short explainer of the TaruviBase platform, databases, authentication and authorization, file storage, serverless functions, auto-generated APIs, and a native MCP layer for secure, multi-tenant SaaS, ready the moment you create an application.
The TaruviBase explainerGive your team an afternoon to build with AI.
A free, hands-on session where 10–20 people from your team sandbox real ideas with AI and vibe coding tools, led by EOX Vantage engineers. No cost, no vendor pitch. Just a genuinely good afternoon that changes how your people see what's possible.
Two bad options. One better path.
Every enterprise SaaS team faces the same trap before they can ship anything real. For teams in regulated industries like insurance, the stakes are higher. Compliance, audit trails, and data isolation are not nice-to-haves. They are the baseline.
Ship fast, break at month six.
AI coding tools help teams move fast. The problem shows up later. Backends built without multi-tenancy, centralized authorization, or enterprise security look fine on day one, and start breaking when the second customer needs isolated data, the compliance team asks for an audit log that was never built, and the permission model lives in forty different places in the codebase.
6–12 months before you ship.
Provisioning databases, writing API layers, building authentication, managing storage, configuring workers. All before a single user touches your product. Hundreds of thousands of dollars in engineering costs before launch, and a backend that still has to be maintained.
Speed and stability, together.
A managed backend platform built for enterprise SaaS. Define your data, write your logic, and ship. TaruviBase handles the backend infrastructure your application actually needs. Security, multi-tenancy, and access control are built in.
Powerful backend technology for custom application development.
TaruviBase brings essential backend services together in one platform, giving you the capabilities to develop, connect, and extend applications without managing separate infrastructure.
Database & data management
Create structured data models, manage relationships, and work with flexible queries, full-text search, vector search and embeddings, and version-controlled schemas.
Authentication & security
Protect applications with built-in authentication, role-based and attribute-based permissions, and security policies enforced across the platform.
APIs & developer tools
Connect applications through automatically generated REST APIs and Python and JavaScript/TypeScript SDKs.
Serverless functions & automation
Run custom logic, schedule tasks, and automate workflows without managing servers. Connect external systems through APIs and webhooks while securely managing application files.
File storage
Securely store, manage, and access application files with scalable cloud storage, built-in access controls, and seamless integration with your application.
Analytics & application management
Support reporting, manage encrypted secrets, and track application activity through audit logging.
The backend built for AI agent and vibe coding workflows.
Most backend platforms were not designed for AI agent coding or vibe coding workflows. TaruviBase was. The idea is straightforward: AI agents handle the front end and use the TaruviBase MCP layer to build and interact with the backend. The result is a complete application built at speed, on a production-grade, enterprise-secure foundation.
AI agents and coding assistants
TaruviBase exposes a native MCP server. Cursor, Claude, Copilot, and Windsurf connect directly to your backend. They query data, understand the schema, and take action. The backend is a participant in the workflow, not something the AI is guessing at.
Semantic schema descriptions and relationship context mean the AI has complete, accurate information about your data model. The code it generates works correctly from the start.
Security guardrails that don't depend on the AI
In an AI agent workflow, developers are moving fast and not hand-authoring every security check. Authorization, row-level security, and tenant isolation are enforced at the platform level. An AI agent building features against TaruviBase cannot accidentally bypass them. They're not in the application layer to begin with.
Safe at speed.
Developer console access for developers who want it
For developers who want to write or modify code directly, console access is available. The same platform that AI agents build against is fully accessible for manual development and customization, no second-class citizens.
Pre-built apps available to purchase
TaruviBase offers a library of pre-built applications. Teams can acquire an app built for their use case and have it configured and customized to their specific requirements using AI. No building from scratch, no lengthy implementation. Start with something that already works and make it yours.
Why enterprises choose TaruviBase over Firebase and Supabase.
Firebase and Supabase are solid tools for getting a single application off the ground. Enterprise SaaS pushes them past their limits fast. TaruviBase is the managed backend platform built for exactly the complexity they can't handle.
Multi-tenant infrastructure built in, not bolted on.
Firebase and Supabase both support multi-tenancy, but neither makes it easy. With Supabase, you're adding tenant_id columns, writing RLS policies per table, and making sure every query applies the right filter. With Firebase, the auth layer supports tenants but data isolation requires significant custom architecture on top.
Fix: Built for multi-tenant SaaS from day one. Full data isolation per customer, per-tenant configuration, and scalable architecture by default, enforced at the platform level, not pieced together over time.
Policy-driven authorization, not scattered checks.
In most enterprise backends, permission logic lives everywhere. A check in this controller, a condition in that service layer. It's impossible to audit and easy to miss.
Fix: A centralized policy engine. Define access rules once, declaratively, in one place. Supports both role-based access for straightforward permissions and attribute-based access for complex, context-driven enterprise scenarios. Audit logging built in.
Managed platform, not open source.
Supabase is open source. For many teams that sounds like a benefit, until they're the ones monitoring CVE databases, managing dependency updates, and dealing with inconsistent environments. For regulated industries, that's a different kind of risk: the security posture of the platform is only as good as how well your team maintains it.
Fix: A fully managed, closed platform. Patches and hardening happen at our level. You get a consistent, production-grade environment, with real engineers and real support, without the enterprise-tier price tag.
A team that knows your product, not a support tier.
Both Firebase and Supabase offer enterprise support at their highest tiers. What they can't offer is a small, focused team that has worked with your specific use case, understands your architecture, and picks up where the last conversation left off.
Fix: Developed and supported by EOX Vantage, a boutique technology firm focused on high-quality SaaS platforms. Direct access to the engineers who built it, not a rotating support team working from a ticket queue.
A native MCP layer for AI agents and vibe coding.
Most backend platforms were not designed for AI agent coding, vibe coding workflows, or agent-driven development. TaruviBase was. Teams using AI coding tools move faster on TaruviBase because the backend understands their tools, and the security guardrails are in the platform, not in code the AI has to remember to write.
Native MCP layer
TaruviBase exposes a native Model Context Protocol server. AI agents and coding assistants connect directly to your backend, query data, understand schema, and take action. No custom integration required.
Semantic schema modeling
Every table, field, and relationship carries human-readable descriptions and structured context. In Cursor, Copilot, or Windsurf, the AI understands the actual model, not a plausible-looking guess.
Safe by default for AI agent & vibe coding
Authorization, row-level security, and multi-tenancy are enforced at the platform level, not in app code. When AI agents are building features against TaruviBase, the guardrails do not depend on anyone remembering to apply the right check.
Relationship & logic context
AI tools understand foreign keys, joins, validation, and dependencies in your backend automatically. Generated queries respect your data model from the start, not after correction.
query("policies where premium > 5000 and tenant=acme")
# tenant filter applied at platform · row-level security enforced
→ 1,284 rows · "holder.region in ['NY','CA']" ABAC permitted
Build applications your way with TaruviBase.
From individual projects to complex business systems, TaruviBase supports different approaches to application development.
Build sophisticated applications without managing backend infrastructure.
Access the tools and technical control you need to develop applications without assembling and maintaining backend services yourself.
Work with auto-generated REST APIs, Python and JavaScript/TypeScript SDKs, serverless functions, flexible data models, and built-in security controls.
Explore developer toolsBring your application ideas to life with AI-assisted development.
AI coding tools are opening application development to people with different levels of technical experience.
TaruviBase uses the Model Context Protocol (MCP) to connect supported AI development tools directly to the backend, enabling AI to build and manage data models, relationships, APIs, authentication, and application logic. Build faster with AI while relying on a secure, managed foundation for your application.
Explore building with AICustom applications designed around your business needs.
Replace restrictive SaaS products or develop bespoke applications that support your workflows, data, and operational requirements.
TaruviBase provides the foundation for applications that connect systems, automate processes, and adapt as your business evolves.
Explore enterprise solutionsThe platform and the partnership.
Most backend as a service platforms give you tools and documentation. TaruviBase gives you enterprise backend infrastructure, and the engineers who built it.
Fifteen capabilities, ready on day one.
Everything below ships out of the box, fully managed, with no provisioning or DevOps required.
- JWT authentication and custom roles per application
- Centralized policy-based authorization engine
- Row-level security enforcement
- Attribute-based access control (ABAC)
- Schemas, tables, and migrations with version control
- 20+ filter operators, full-text search, hierarchy traversal
- Auto-generated REST endpoints from your schemas
- Python and JavaScript/TypeScript client SDKs
- Event-driven serverless functions and scheduled jobs
- Webhook integrations with Zapier, n8n, and Make
- Bucket-based file storage with access policies
- Encrypted secrets management with JSON schema validation
- Analytics with parameterized read-only execution
- Complete audit logging from day one
- Native MCP server for AI agent and coding tool integration
Developed and supported by EOX Vantage.
A boutique technology firm focused on building high-quality SaaS platforms. You get enterprise backend infrastructure and the engineers who built it.
- Direct access to the engineers who built the platform
- SaaS architecture guidance for multi-tenancy, scaling, and data modeling
- Code reviews and optimization recommendations
- Migration assistance from existing backends
- Custom feature development
- Dedicated account management for enterprise clients
- Support channels with fast resolution on complex issues
See what people are building with TaruviBase.
Explore real applications created with TaruviBase, from everyday tools to sophisticated business solutions. Discover how others are using the platform and find inspiration for your next project.
Start building with TaruviBase.
Get access to the tools and infrastructure you need to create your next application.
Frequently asked questions.
What is TaruviBase and who builds it?
TaruviBase is a managed, multi-tenant backend as a service platform from EOX Vantage. It gives enterprise SaaS teams databases, enterprise authentication and authorization, file storage, serverless functions, and auto-generated APIs, ready the moment you create an application.
How is TaruviBase different from Firebase and Supabase?
Firebase and Supabase support multi-tenancy, but neither makes it easy, and Supabase is open source so your team owns the maintenance. TaruviBase builds multi-tenancy, a centralized policy engine, and audit logging in by default, as a fully managed platform with direct access to the engineers who built it.
Is TaruviBase multi-tenant by default for enterprise SaaS?
Yes. TaruviBase is built for multi-tenant SaaS from day one, with full data isolation per customer, per-tenant configuration, and scalable architecture enforced at the platform level rather than pieced together over time.
What is the native MCP layer for AI agents and vibe coding?
TaruviBase exposes a native Model Context Protocol server, so AI coding assistants and agents like Cursor, Claude, Copilot, and Windsurf connect directly to your backend to query data, understand the schema, and take action. No custom integration is required, and authorization, row-level security, and tenant isolation stay enforced at the platform level.
What backend capabilities does TaruviBase include on day one?
TaruviBase ships fifteen capabilities out of the box, including JWT authentication with custom roles, a centralized policy-based authorization engine, row-level security, attribute-based access control, version-controlled schemas and migrations, auto-generated REST endpoints with Python and JavaScript/TypeScript SDKs, event-driven serverless functions, bucket-based file storage, encrypted secrets management, analytics, complete audit logging, and a native MCP server. Everything is fully managed with no provisioning or DevOps required.
Is TaruviBase suitable for regulated industries like insurance?
Yes. For teams in regulated industries like insurance, audit trails, data isolation, and access controls that satisfy regulators are built in from day one. It gives insurers, MGAs, and insurtechs a compliant backend foundation without months of custom security work.