SaaS and multi-tenant platforms
Tenants, plans, roles and admin consoles, built for many customers on one codebase. We run our own multi-tenant SaaS, the AI Agents Platform, on this pattern.
See the platform
Software Engineering · AI-ready
Custom software development company in India, building AI-ready from day one
Prilient Technologies is a custom software development company in India, based in Vaishali Nagar, Jaipur. We build SaaS platforms, web apps, mobile apps and integrations. Every build ships with clean data, open APIs and access controls, so AI features plug in when you need them.
- In business since 2019
- 500+ projects delivered
- NDA on request
Why AI-ready matters
Most business software isn't ready for AI. Yours can be.
AI features need three things: structured data, an API for every important action and a record of who did what. Most software was built without them. Adding them later means rework on a live system.
We design for them from the first sprint. That way, adding an agent, a copilot or document extraction later doesn't mean a rebuild.
What "AI-ready" means in our builds
- Structured data: records a model can search, summarise and reason over, not free text scattered across tables.
- An API for every core action: if a user can do it, an AI agent can do it through the same checked endpoint.
- Roles and audit logs: every AI action is permissioned and traceable, like any user's.
- Model choice: call a hosted LLM, or run an open model on your own server with vLLM. We do the latter in DataSwitch, a platform we built for a client.
Services
Custom software development company in India: what we build
Six kinds of work, one engineering standard. Each card links to the proof or the next step.
Web app development
Portals, dashboards and internal tools in Laravel, Node.js/NestJS and React/Next.js. Laravel suits admin-heavy builds; NestJS suits typed, modular services.
See web case studiesMobile apps with React Native
One codebase for Android and iOS, with a Node.js API behind it. UrbanCab, Brokers Together and Property Assist were built this way.
Read the UrbanCab storyAPIs and integrations
Payments, biometric attendance devices, WhatsApp, SMS and third-party APIs. We document every endpoint so your team, partners and AI agents can use it.
See integrationsLegacy system modernisation
We map what your old system does, then move it to a supported stack in stages. The business keeps running while each part is replaced.
AI features for existing software
Add document extraction, a support agent, WhatsApp lead qualification or smart search to software you already run. We start with an audit of your data and APIs.
Explore AI solutionsAPIs and integrations
Integrations your operations already depend on
Most of the value in business software sits in what it connects to. These are integrations we have shipped in client work and in our own products.
- Payments: Razorpay checkout and payment flows in UrbanCab, Rabbitt, Brokers Together and Property Assist.
- Biometric attendance: ZKTeco devices over the ADMS protocol, feeding punches straight into Tainaat WorkforceOS.
- WhatsApp: our WhatsApp Lead Generation Agent qualifies inbound leads inside the chat.
- SMS and voice in India: Prilient is a registered Principal Entity on TRAI's DLT platform. We know the template and sender-ID process first-hand.
- Messaging and real-time data: Twilio and Firebase in our real-estate apps.
How we work
Six steps from idea to live software, in two-week sprints
You see working software every two weeks, not a status report. Each step includes one AI-ready check.
-
Discovery and planning
We map users, workflows and the data each one touches. AI-ready check: which decisions could an agent make later?
-
Design and prototyping
Clickable Figma prototypes you test before we write code. AI-ready check: where would AI suggestions appear in the interface?
-
Agile development
Two-week sprints with a demo at the end of each. AI-ready check: every core action gets an API endpoint.
-
Quality assurance
Automated and manual testing on every release. AI-ready check: roles and audit logs are tested like features.
-
Deployment and launch
CI/CD pipelines, Docker, Nginx and SSL, set up for repeatable releases. AI-ready check: room to add a model server or an LLM gateway.
-
Post-launch support
Monitoring, fixes and a roadmap for the next release. AI-ready check: which AI feature to add first, based on real usage.
An MVP typically takes 8–12 weeks and a full-featured application 3–6 months. Complex enterprise platforms take 6–12 months. You get a fixed plan after discovery.
Quality and security
Quality and security built into every sprint, not added at the end
Reviewed code
Every change is reviewed by a second engineer before it merges. Standards are agreed in week one.
Tested releases
Automated tests for core flows, plus manual testing on real devices before each release.
Secure by default
Role-based access, encrypted data and secrets kept out of code. Brokers Together ships with end-to-end encryption and role-based access.
Repeatable deployments
Docker, Nginx, SSL and CI/CD pipelines, the same set-up we run for multi-service platforms.
NDA on request. Source code and IP transfer to you on final payment.
Where it pays off
Systems we have engineered, and the AI step that comes next
HR and attendance
Tainaat: a workforce OS that reads biometric punches
Attendance flows in from ZKTeco devices and geofenced GPS, straight into payroll and compliance. Next step: an agent that answers staff leave and salary questions.
See TainaatHealthcare
A hospital management system
Our team has engineered a hospital management system (HMS) for day-to-day hospital operations. Next step: document AI that reads reports and forms into structured records.
Payments
A payment platform architecture for the GCC
We designed a Payment Service Provider (PSP) platform architecture for the GCC market. Next step: anomaly flags on transactions for review.
Analytics
VyapaarSense for SMBs
One AI business platform for billing, GST, inventory, HR & payroll, with document AI and cash-flow forecasts, on React and NestJS. Next step: plain-language questions about your business data.
See VyapaarSenseAdding AI to software you already run? We also build generative AI features into existing products.
Engagement models
Three ways to work with us
Fixed-scope project
A defined scope, timeline and price, agreed after discovery. Best for an MVP or a clearly specified product.
Fixed quote after a free 30-minute call
Dedicated product team
Developers, QA and a tech lead who work only on your product, billed monthly. Best for a roadmap that keeps changing.
Hire a dedicated teamAudit, modernise, add AI
We start with a short audit of your code, data and APIs, then plan the upgrade in stages. Best for software that works but can't take AI yet.
Typical audit time: 1–2 weeks
Tech stack
Tools we use in production
We list only what we have shipped with. We pick the stack for your team and roadmap, not the reverse.
Models and AI
- vLLM
- Hugging Face
- PyTorch
- Commercial and open-weight LLMs
Frameworks
- Laravel
- Node.js
- NestJS
- FastAPI (Python)
- React
- Next.js
- React Native
- TypeScript
- Vite
- Tailwind CSS
Data
- PostgreSQL
- MongoDB
- Redis
Cloud and DevOps
- Docker
- Nginx
- SSL
- CI/CD
- Google Cloud
Channels and integrations
- SMS (DLT)
- Twilio
- Firebase
- Razorpay
- ZKTeco (ADMS)
Case studies
Software that real businesses run on
Mobility · Mobile app
UrbanCab
Moved intercity and outstation cab bookings from phone calls to an app with live tracking and in-app payments.
- React Native
- Node.js
- MongoDB
- Razorpay
Recruitment · Web
Rabbitt
A job portal for South Africa with job filters, candidate profiles and recruiter screening tools. 1,000+ registered companies.
- React
- Node.js
- MongoDB
EdTech · Web
TUTRAIN
One platform that brings learning resources and opportunities together.
- React
- Node.js
- MongoDB
Real estate · Mobile app
Brokers Together
Brokers list, filter and share properties in one app, with role-based access and encrypted client data.
- React Native
- Node.js
- MongoDB
- Firebase
- Twilio
Real estate · Mobile app
Property Assist
Property discovery, listing and buyer–seller messaging in one secure app.
- React Native
- Node.js
- MongoDB
- Razorpay
The features have been implemented exactly as envisioned… The app feels smooth and user-friendly.
The difference
AI added later vs. AI-ready from day one
| AI added later | AI-ready from day one (how we build) How we build | |
|---|---|---|
| Data | Scattered, free-text fields to clean up first | Structured records a model can read |
| Actions | Screens only; an agent can't act | An API endpoint for every core action |
| Permissions | AI gets broad access, or none | AI works inside the same roles as users |
| Traceability | Hard to tell what the AI changed | Audit log for every AI action |
| Model choice | Locked to one vendor | Hosted LLM or open model on your own server |
| Adding the first AI feature | Rework on a live system | A planned sprint |
FAQs
Questions buyers ask us
How much does custom software development cost in India?
It depends on scope, integrations and how many user roles you need. We give a fixed quote after a free 30-minute call, so you know the price before we start.
How long does it take to build an MVP?
A typical MVP takes 8–12 weeks, and a full-featured application 3–6 months. You see working software every two weeks. UrbanCab went from research to a tested app in about four months.
What does "AI-ready" actually mean?
It means structured data, an API for every core action, and roles and audit logs that cover AI actions too. With those in place, adding an agent, a copilot or document extraction is a planned sprint, not a rebuild.
Can you add AI features to software we already have?
Yes. We start with an audit of your code, data and APIs. Then we add the first AI feature, such as document extraction, a support agent or WhatsApp lead qualification, and plan any modernisation in stages.
Which technologies do you work with?
Laravel, Node.js/NestJS and FastAPI on the back end; React and Next.js on the web; React Native for mobile. Data sits in PostgreSQL, MongoDB or Redis, and we deploy with Docker, Nginx and CI/CD.
Are you a Laravel development company or a Node.js shop?
Both. We use Laravel for admin-heavy business apps and NestJS for typed, modular services and multi-tenant platforms. We recommend one after discovery, based on your team and roadmap.
Who owns the source code and IP?
You do. Source code and IP transfer to you on final payment, and we sign an NDA before you share anything sensitive.
Do you work with clients outside India?
Yes. Our team works from Vaishali Nagar, Jaipur, and collaborates remotely. Rabbitt, a job portal for the South African market, is one example.
Tell us what you want to build. We'll show you how to make it AI-ready.
A free 30-minute call about your idea or your current system. You leave with a rough scope, a suggested stack and next steps.
Free 30-min call · NDA on request