White-Label AI Platform
Shivacha AI SaaS Starter: The foundations of an AI SaaS product — ready to build your differentiation on.
Sources
Help centre · Policies
Grounding
Citations on
Handoff
Enabled
Typical implementation
3–4 weeks
White-label implementation
Customization
Highly customizable
Brand, workflows and integrations
- White-label
- Ready to launch
- Production-ready
- Customizable
- API-ready
Timelines refer to software implementation and deployment scope for a defined configuration. Third-party integrations, regulatory approvals, banking and card-issuer onboarding, custody and liquidity agreements, security audits and other external dependencies may require additional time.
Overview
A production-ready foundation for AI SaaS products: multi-tenancy, auth, billing and metering, model gateway, retrieval pipeline, evaluation tooling and admin — so teams build only what makes their product unique.
The problem
Every AI SaaS team rebuilds the same plumbing — tenancy, usage metering, model access, retrieval, evaluation — before shipping the features customers pay for.
The solution
Shivacha AI SaaS Starter provides that plumbing as a maintained codebase your team owns, with architecture decisions already made for cost control, tenant isolation and quality measurement.
Feature modules
What's inside
Tenancy & auth
Organisations, roles, SSO and API keys.
Metering & billing
Usage tracking, quotas and subscription plans.
Model gateway
Provider routing, fallbacks, logging and cost attribution.
Retrieval pipeline
Document ingestion, embeddings and hybrid search.
Evaluation tooling
Test sets, scoring and regression checks.
Admin console
Tenants, usage, prompts and feature flags.
Product preview
Designed for operators and end users.
- Multi-tenant architecture
- Usage-based billing
- Multi-provider model gateway
- Permission-aware RAG
- Prompt versioning
- Evaluation harness
- Streaming UI components
- Observability and cost dashboards
- Understand requestIntent: refund · order #4821
- Retrieve policyRefund policy v3 · 2 sources cited
- Call toolsorders.lookup · payments.status
- 4Human approvalRefund above auto-approve limit
- 5Execute actionpayments.refund
- 6Respond & logCustomer reply · audit trail
Tool call
orders.lookup({
order_id: "4821"
}) → { status: "delivered",
amount: 42.00 }Approval required
Refund 42.00 to original payment method
Architecture
Built to integrate and extend.
Modular services behind stable APIs, deployed into your environment.
Specifications
Deployment, security and integration
Integrations
- LLM providers
- Stripe-style billing platforms
- Identity providers
- Object storage
- Analytics
Security
- Data stays in your environment where required
- Role-based access and document-level permissions
- Prompt-injection and output guardrails
- Full audit logs of prompts, tool calls and outputs
- Encryption in transit and at rest
Deployment
- Your cloud account (AWS, Azure, Google Cloud)
- Private VPC with self-hosted models
- Managed deployment operated by Shivacha
- Hybrid: hosted UI, private data plane
Customisation
- Model and provider selection
- Custom tools and integrations
- Brand, tone and guardrail policies
- Workflow and approval rules
- Custom evaluation sets
Use cases
Who launches with it
- Vertical AI SaaSAI product for a specific industry workflow.
- AI feature tierLaunching AI capabilities inside an existing product.
- Internal AI platformShared foundations for internal AI apps.
- API-first AI productAI capabilities exposed to developers.
See it in action
Request a tailored demo for your use case.
Demos are tailored to your markets, partners and integration requirements.
Custom engineering
Extend it with our services
AI Product Development
Build AI-native products and SaaS: product strategy, UX for AI, model architecture, evaluation, metering and scale.
Learn moreSaaS Development
Build and scale SaaS products: multi-tenancy, billing, roles, integrations, analytics and infrastructure designed for growth.
Learn moreLLM Development
LLM application and platform engineering: model selection, fine-tuning, serving, evaluation and cost-optimised inference.
Learn moreRelated products
Works well with
Shivacha Agent Platform
Build, govern and operate AI agents that do real work across your systems.
Learn moreShivacha Copilot Kit
Embed a context-aware AI copilot into your product or internal tools.
Learn moreShivacha AI Analytics
Ask questions of your data in plain language — with governed, verifiable answers.
Learn moreLearn more
Related thinking
Multi-tenant SaaS foundation built for enterprise readiness
The foundations we put in place when building a SaaS product that will need to sell to enterprises.
Learn morePermission-aware enterprise knowledge assistant
How we design a RAG assistant that answers from thousands of internal documents while respecting every user's access rights.
Learn moreDesigning AI products users trust
Trust in AI products is designed: show sources, make uncertainty visible, make correction easy and keep humans in control of consequential actions.
Learn moreFAQ
Frequently asked questions
Do we own the code?
Yes. The starter is delivered into your repositories as part of an engagement.
Which models are supported?
Any major hosted provider and open-weight models through the gateway.
Is this a no-code tool?
No. It is an engineering foundation for teams building AI products.
Request a product demo.
See how Shivacha AI SaaS Starter fits your business, and how we would customise and deploy it.