Frontend
ReactNext.jsTypeScriptTailwind CSSFlutterDart
Technology
The stack behind production software.
These are the tools we actually ship with — across SaaS platforms, ERP systems, fleet apps, and AI products. Boring where it should be boring, modern where it matters.
See it in production7+
Years building production software
15+
Production systems shipped
Web, Mobile & SaaS
Platforms covered
India & worldwide
Clients served
For the business buyer
Will it last, scale, and stay yours?
We choose proven technology over hype — lower risk, easier hiring, and systems that are still maintainable in five years.
Your data lives in PostgreSQL (via Supabase). You own it, it's portable, and there's no vendor lock-in.
Mobile means one codebase (Flutter or React Native) for iOS and Android — faster to build, cheaper to maintain.
AI is integrated where it measurably helps — scheduling, document checks, reorder predictions — not as a marketing checkbox.
Every production system ships instrumented: error tracking, uptime checks, and structured logs from day one.
The stack, by category
Tools we use every week.
Backend
Node.jsPythonDenotRPCREST APIsGraphQLPostgreSQLSupabaseFirebase
DevOps & Cloud
GitHub ActionsDockerVercelAWS (S3, Lambda)VPS / NginxCI/CD Pipelines
Monitoring & Ops
SentryError AlertingUptime MonitoringPerformance BudgetsLog Management
CMS & Content
PrismicContentfulSanityWordPressHeadless CMSISR / SSG
AI / ML
OpenAI APIGoogle GeminiPrompt EngineeringLLM IntegrationOn-Device AIAI Analytics
AI Dev Tools
Cursor IDEGitHub CopilotClaudeChatGPTAI Code Review
Tools & Workflow
GitFigmaFastlanePostmanLinearNotion
How we ship
Systems thinking from local dev to production.
Deployment
Vercel · VPS (Nginx) · Supabase
Zero-downtime deploys, edge functions, managed Postgres — the right architecture for the project size, not a one-size template.
CI/CD
GitHub Actions
Automated lint → type-check → build → deploy pipeline on every push.
Automation
Webhooks · Cron jobs · Realtime
Auto-scheduling, background sync, and Supabase Realtime for live data.
Observability
Error Tracking · Logs · Uptime · Alerts
Error tracking with source maps, structured logging, uptime checks, and real-time alerts — instrumented from day one.
Security
Row Level Security · RBAC · Bot protection
Postgres RLS for tenant isolation, permission-based access control, and bot protection on public endpoints.
AI in production
AI that already serves real users.
Not demos — features running in shipped products, from adaptive learning to stock predictions to on-device transcription.
OpenAI API
Content generation, quiz creation, and adaptive learning flows running in production.
Prompt Engineering
Versioned prompt templates with confidence scores and accuracy checks for AI-generated content.
AI Analytics
Stock trend analysis, reorder predictions, and sales pattern recognition in production POS systems.
On-Device AI
Real-time transcription that needs no server — built for privacy-sensitive settings.
How we work
The attitude behind the code.
01
Understand the business first
Most software failures start with misunderstood requirements. We learn the operational context before writing code.
02
Design the architecture early
Data model, system boundaries, and user flows are mapped before building — those decisions are cheap now and expensive later.
03
Build incrementally
Every feature breaks into deployable increments. You see progress early and can redirect before we've built too far.
04
Ship with a real deployment strategy
CI/CD pipelines, monitoring, error tracking, and uptime checks — not just a working dev environment.
05
Stay for maintenance
Software doesn't end at launch. We remain available for improvements, integrations, and new features.
Great software is invisible — so easy to use you forget there's a machine behind it.
Have a project in mind?