Build production-ready SaaS applications in days, not months.
Build faster without managing infrastructure. TaruviBase is an enterprise backend-as-a-service platform that gives you databases, enterprise authentication and authorization, file storage, serverless functions, and auto-generated APIs — built for secure, multi-tenant SaaS applications from day one.
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.
Watch TaruviBase in action
See how teams stand up a secure, multi-tenant backend — schemas, policies, functions, and a native MCP server — from a single console.
The enterprise backend platform that's ready on day one.
TaruviBase is a fully managed backend-as-a-service. Your backend infrastructure is ready the moment you create an application. No provisioning, no deployment pipelines, no DevOps overhead.
Data tables & schemas
Schemas with relationships, hierarchy traversal, full-text search, 20+ filter operators, version-controlled migrations.
Auth & permissions
Four authentication strategies out of the box. Policy-driven authorization defined once and enforced automatically — no authorization logic scattered through your code.
Serverless functions
Python on-demand, scheduled jobs, database event triggers, and webhook proxies for the third-party tools your team already uses — Zapier, n8n, Make.
Secure file storage
Bucket-based organization with public/private access, MIME type controls, and auth-layer integration.
Auto-generated API
REST endpoints generated automatically from your schemas. Python and JS/TS client SDKs included.
Analytics
Parameterized query templates with secure read-only execution. Build reporting without exposing direct DB access.
Secrets management
Encrypted configuration at app and site levels with JSON schema validation. Store keys and connection strings safely.
Events & triggers
Subscribe serverless functions to system events. React to data changes, user actions, or scheduled triggers.
Native MCP server
Connect AI coding assistants and agents directly to your TaruviBase backend using the Model Context Protocol. No custom integration required.
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.
Give 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.
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.
The managed backend platform built for AI agent and vibe coding development.
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
Enterprise SaaS teams that need more than Firebase or Supabase.
Audit, isolation, and access controls that satisfy regulators — built in.
Audit trails, data isolation, and access controls that satisfy regulators are built in from day one. The compliant backend foundation you need without months of custom security work.
ABAC, RLS, audit logging — all out of the box.
Complex attribute-based access control, row-level security, compliance, and complete audit logging are built into the platform. TaruviBase handles enterprise complexity without custom configuration.
Stop losing months to backend infrastructure.
You know what to build. TaruviBase means the backend is already in place. Define your schema, configure your policies, and start building the product that actually matters.
Replace AI-generated backends that broke under load.
AI-generated backends break under real enterprise requirements. TaruviBase gives you a production-grade managed backend with multi-tenancy, centralized authz, and a native MCP layer.
Outgrowing Firebase or Supabase? Get there without months of custom work.
Firebase and Supabase can get you to enterprise requirements — but not without significant custom configuration, ongoing maintenance, and architecture decisions that fall on your team. When the cost of that work outweighs the benefit, TaruviBase gives you the same capabilities built in from the start.
The 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.
Sixteen 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
Stop choosing between speed and stability.
You have a product to build, customers waiting, and a roadmap that matters. The backend should not be what slows you down.