Platform & SaaS Architecture
Multi-tenant systems designed to scale — tenancy model, roles and permissions, subscription billing, usage limits, and operational dashboards that hold up from 10 tenants to 10,000.
Now accepting new projects
--:-- IST · Tamil Nadu, India
We architect AI-native SaaS
& business platforms
that ship and scale.
A SaaS, cloud & AI studio led by one architect, 15+ years in — production-ready, multi-tenant platforms with AI built into the architecture, not bolted on.
Who's behind AruviFlow
One architect. 15+ years
of shipping platforms.
AruviFlow is led by Sastha K L, an independent software architect and full-stack engineer with 15+ years designing, building, and scaling SaaS products, business platforms, and AI-enabled systems.
Every engagement is architected and built by the person you talk to — from data model and APIs through to frontend, cloud infrastructure, payments, and AI integration. No handoffs, no junior team halfway through.
- Platform & multi-tenant SaaS architecture
- AI-native product design — LLMs, RAG, agents, automation
- Django / Django Ninja · Laravel · Vue 3 · Flutter
- Azure · Cloudflare · Docker · Stripe · Razorpay
Capabilities
Architecture-led SaaS, AI
& cloud engineering.
Six areas we go deep on. Every engagement is scoped to what the product, business model, and scale actually need — not what fills a proposal.
AI-Native Application Architecture
AI built into the product core, not bolted on — LLM pipelines, RAG over domain knowledge, agentic workflows, and structured output with Claude, GPT, and Gemini.
Business & Operations Platforms
End-to-end systems for real operations — inventory, sales, payroll, buyers, payments, and the business rules that tie them together into one platform.
Cloud-Native Infrastructure
Containerised, observable deployments on Azure, Cloudflare, and Laravel Cloud — CI/CD, background workers, and infrastructure cost kept under control.
Mobile & Offline-First
Flutter and Capacitor apps with offline-first data sync — built for field use where the network can't be assumed and the data still has to reconcile.
Payments & Subscriptions
Stripe and Razorpay integrations done properly — tiered plans, trials, metered usage, dunning workflows, and full webhook lifecycle handling.
15+
Years building platforms
3
Flagship SaaS platforms
2
Open-source Laravel packages
∞
Support after launch
How we work
Architecture first.
Then build. Then evolve.
We work from both directions — business to system, and system to product — so the foundation fits the problem and the product can grow without rebuilding its core.
Architecture & Scope
We map the workflow, constraints, economics, and users first — then define the tenancy model, data model, and integration points. Scope and success criteria are agreed before code.
Build & Iterate
Iterative delivery with you in the loop. We pick the right stack for the product and scale — simple and maintainable over novel — and keep decisions reversible where it counts.
Launch & Evolve
We handle deployment and stay engaged after go-live — shipping improvements, watching the system in production, and evolving the platform as the business changes.
How we think about architecture
Simple systems
that outlast the first release.
The goal isn't the newest technology — it's the right combination for the product, business model, scale, and what it costs to operate.
Understand before architecting
Workflow, constraints, economics, and user needs come first. The architecture follows from the problem — not from a stack we wanted to use.
Build a foundation that evolves
The technical core is designed so the product can grow — new features, new tenants, new integrations — without repeatedly rebuilding what it stands on.
Our work
Platforms and AI products
we've built and shipped.
Farm Management SaaS
Visit site
NilamFlow
Farm operations software built for Indian farms — from field to market in one platform.
NilamFlow is a multi-tenant SaaS application enabling farm owners and operators to run field-to-market operations from one integrated platform. It serves farms with multiple locations and workforces — seasonal pickers through to permanent staff — with harvest tracking, payroll, vendor dispatch, retail sales, inventory, and financial reporting.
- Harvest session lifecycle — open → closed → payroll pending → paid, with per-worker weight and rate tracking
- Component-based payroll — allowances, bonuses, deductions with draft → approved → paid workflow and PDF payslip export
- Vendor dispatch and retail sales with credit limits, PDF invoices, and payment tracking
- Razorpay subscription billing with tiered plans, dunning workflow, and 3-stage email reminders
- AI crop price intelligence via Claude API with trend monitoring and source configuration
Laravel 12
Livewire 3
Razorpay
Claude AI
MariaDB
Multi-tenant
RAG · AI · In Production
Visit site
Farm Doctor
The RAG engine behind nilamAI — NilamFlow's in-app agronomy assistant.
Farm Doctor is a retrieval-augmented knowledge system for Indian agriculture, shipped in production as nilamAI inside NilamFlow. It indexes authoritative sources — advisories, package-of-practice documents, and crop guidance — and answers grower questions through LLM assistance anchored to that corpus rather than open-ended generation.
- Live in production as nilamAI, the assistant layer inside the NilamFlow platform
- RAG pipeline over a curated corpus of authoritative Indian agricultural sources
- Answers stay grounded in and cite the indexed corpus, not free-form generation
- Domain-tuned retrieval across crops, practices, inputs, and seasonal guidance
RAG
LLM
Vector Retrieval
Claude AI
Multi-tenant
Open Source
View on GitHub
GraftAI
Let your users tell you what to build next.
GraftAI is an open-source Laravel package for multi-tenant SaaS platforms. Tenants describe what they need in plain English — GraftAI uses Claude AI to convert that into a live, scheduled data pipeline instantly. No code, no deployment. Over time it watches which pipelines tenants independently build, spots patterns, and surfaces them as one-click feature promotions — turning real usage into your product roadmap.
- Plain English → live data pipeline via Claude AI — no code required
- Scheduled execution with email and webhook notification triggers
- Automatic pattern detection surfaces feature candidates across tenants
- One-click promotion turns usage signals into versioned platform features
Laravel
Claude AI
Multi-tenant
Open Source
$
composer require frozonfreak/graftai
Behavioral Analytics
Portfolio Intelligence System
Behavioral telemetry for developer-AI collaboration — signal-driven and archetype-aware.
A behavioral telemetry platform that ingests raw development events — commits, edits, AI prompts, refactors — and processes them through a service-oriented pipeline to produce normalized signals, effort scores (0–10), and archetype classifications across 6 developer profiles.
- 6 core signals aggregated over rolling 7-day and 30-day windows
- Softmax-based archetype classification: Architect, AI Conductor, Refiner, and more
- Vue 3 dashboard with real-time charts and live event streams
- Simulation endpoint generating 18-session mock telemetry for local testing
- Clean architecture — Form Request validation, dedicated service layer, cached signal storage
Laravel 13
PHP 8.3
Vue 3
Tailwind CSS 4
PostgreSQL
Pest
Open Source · Laravel Package
View on GitHub
Plan Manager
Remove hardcoded pricing and access logic from your Laravel SaaS — for good.
Plan Manager is a Laravel-native package that centralises plan configuration, feature entitlements, usage limits, trials, and add-ons in one place — keeping billing-provider logic entirely separate. Inspired by Magento-style rule configuration, it gives SaaS applications a clean API for access control without coupling to Stripe, Razorpay, Paddle, or Cashier.
- Feature entitlement resolution and numeric usage-limit enforcement via a single clean API
- Time-limited, usage-limited, and hybrid trial support with full state tracking
- Plan versioning — ship pricing changes without breaking existing subscribers
- Add-on availability and rule-based plan behaviour out of the box
- Billing-provider-agnostic — works alongside Stripe, Razorpay, Paddle, Chargebee, or Cashier
Laravel
PHP
SaaS
Multi-tenant
Open Source
SaaS · Healthcare AI
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ComposerAI
Clinical documentation that writes itself — in seconds.
ComposerAI is a full-stack SaaS platform that automates clinical documentation for healthcare practitioners. Doctors record or upload consultation audio; the platform transcribes, structures, and generates complete clinical notes and letters — ready to review in seconds, tuned per medical specialty.
- Real-time transcription — live audio streamed via WebSocket to OpenAI Whisper and LemonFox for instant transcripts
- Multi-model LLM pipeline — GPT-4/5 and Gemini 2.5 with specialty-specific models per clinical section (HxPC, medications, examination, management plan)
- Template & personality engine — customisable per specialty (psychiatry, orthopaedics, PT/OT) with RAG-based retrieval via Weaviate
- Multi-tenant SaaS — organisation-scoped data isolation, role-based access, and per-party subscription enforcement
- Stripe billing — usage-based limits, trial management, and full webhook lifecycle handling
Django 5.1
Vue 3
OpenAI
Gemini 2.5
LangChain
Weaviate
WebSockets
PostgreSQL
Azure
Stripe
Open Standard · AI
Live demo
View on GitHub
The Web HIG
An open behavioural standard for how modern web interfaces should work — readable by humans and AI agents alike.
The Web HIG (Universal Human Interface Guidelines) is a vendor-neutral, lintable contract for web application behaviour. It complements WCAG, design systems, and HTML/CSS by specifying interaction, state, and UX consistency rather than visual style — giving developers and AI coding agents a shared set of rules to follow and validate in CI.
- 98 rules across 10 governance layers (0–9) — UX, information architecture, design tokens, interaction & state, accessibility, performance, AI enforcement, QA gates, and security & privacy
- Four page archetypes — Content, Commerce, Application, and Auth — each with tailored rule sets
- Three levels of depth — Quick Reference (~5 min), practical modules, and the full specification
- Machine-readable rule IDs and YAML guardrails for CI/CD automation
- Drop-in AI agent templates for Claude Code, Cursor, and GitHub Copilot
- Progressive disclosure — load only the documentation complexity a task needs
Markdown Spec
YAML Guardrails
Node.js
CI/CD
WCAG 2.2 AA
Core Web Vitals
Scope & investment
Get a ballpark
before we talk.
Every engagement is scoped to the actual problem, not a fixed package. Answer three questions for a directional estimate — then a short call confirms exact scope and cost.
Directional estimate
6–9 weeks
Fixed-scope project
A short scoping call confirms exact cost and timeline before anything is agreed.
Discuss this scopeGet in touch
Tell us what you're building.
Got a platform in mind, or an existing system that needs to scale? Tell us the business problem, where you're stuck, and any timelines — we'll take it from there.
Email
hello@aruviflow.com
Led by
Sastha K L — Independent Platform Architect
Based in
Tamil Nadu, India — working with clients worldwide