Technology Stack

Best Database. Best Backend.
Best Frontend. Best AI.

We don't use frameworks because they're trendy. We use the specific technologies that power the world's best software — PostgreSQL, FastAPI, Next.js 15, Google Cloud Run — and we use them correctly.

🗄️ Database⚙️ Backend🎨 Frontend🤖 AI🔒 Security🚀 DevOps
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World's Best Database Architecture

PostgreSQL 16 + pgvector + Redis — The Gold Standard

PostgreSQL is what Shopify, Instagram, GitLab, and Apple use for their most critical data. We go further — adding pgvector for AI-powered semantic search, Redis for sub-millisecond caching, and Supabase for real-time subscriptions.

Engineering Principles
✓Composite indexes on every hot query path — zero N+1 queries in production
✓Row-Level Security (RLS) enforced at the database level — data isolation by design
✓Migrations versioned and tested before every deploy — no schema drift
✓pgvector for embeddings — semantic search, RAG pipelines, similarity matching
✓Point-in-time recovery on Cloud SQL — RPO < 5 minutes, RTO < 15 minutes
✓Connection pooling via PgBouncer — handles 10,000 concurrent users on a single DB
Technologies Used
PostgreSQL 16pgvectorRedis 7SupabaseCloud SQLPgBouncerSQLAlchemy 2 async
⚙️
World's Best Backend Architecture

FastAPI + Async Python + Google Cloud Run — Scales to Zero, Then to Millions

FastAPI is the fastest Python API framework — outperforming Django REST by 3x. Async I/O means your backend handles thousands of concurrent requests on a single process. Google Cloud Run scales from zero cost to infinite traffic with no configuration.

Engineering Principles
✓Full async/await throughout — SQLAlchemy 2 async, httpx async, no blocking I/O
✓Pydantic v2 validation on every request — type-safe from HTTP layer to database
✓OWASP Top 10 compliance by default — CSP, HSTS, X-Frame-Options, rate limiting
✓SlowAPI rate limiting — 100 req/min per IP, custom per-endpoint limits
✓Sentry error tracking + custom logging — every error captured with full context
✓GZip middleware — API responses compressed, saving 60-80% bandwidth
✓Request ID middleware — every request traceable end-to-end
✓Global exception handler — users never see raw stack traces
Technologies Used
FastAPIPython 3.12Pydantic v2SQLAlchemy 2 asyncGoogle Cloud RunDocker (linux/amd64)SlowAPISentry
🎨
World's Best Frontend Architecture

Next.js 15 + React 19 + TypeScript Strict — Zero Compromise on Performance

Next.js 15 with React 19 is the most advanced frontend framework in existence — used by OpenAI, Vercel, Hulu, and TikTok. TypeScript strict mode eliminates entire categories of runtime bugs before deployment.

Engineering Principles
✓TypeScript strict mode — no implicit any, no unchecked indexing, zero type debt
✓next/font for all fonts — eliminates CLS, no external font requests, GDPR-clean
✓Static generation where possible, dynamic rendering only where needed
✓Core Web Vitals targeted: LCP < 1.8s, CLS < 0.05, FID < 100ms
✓JSON-LD structured data — Organization, FAQPage, WebSite schemas for SEO
✓Canonical tags on every page — no duplicate content indexing
✓next/image for all images — automatic WebP, lazy loading, size optimization
✓Server Components for static content — minimal client JavaScript bundle
Technologies Used
Next.js 15React 19TypeScript 5 strictTailwind CSS 4Space GroteskInterVercel AnalyticsVercel Speed Insights
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World's Best AI Architecture

Claude + GPT-4o + pgvector RAG — AI That Actually Works

Most companies bolt on a chatbot. We build AI that changes how businesses operate — LLMs trained on your data, RAG pipelines that answer accurately, ML models that predict outcomes, and agents that complete multi-step tasks autonomously.

Engineering Principles
✓Model-agnostic LLM router — falls back from Claude → GPT-4o → Gemini → Groq automatically
✓RAG with pgvector — semantic search over your documents, knowledge bases, and history
✓Streaming responses — token-by-token output, no timeout on long completions
✓Prompt caching — 90% cost reduction on repeated context with Anthropic API
✓Tool use / function calling — AI that reads databases, calls APIs, writes files
✓CQRS event store — every AI action logged, auditable, and replayable
✓AI health endpoint — real-time provider status, fallback monitoring
Technologies Used
Claude 3.5 SonnetGPT-4oGemini 1.5 ProGroq (Llama 3)pgvectorLangChainLlamaIndexPinecone
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World's Best Security Architecture

OWASP Top 10 + Zero-Trust — Security Is Not an Add-On

Most agencies add security at the end. We engineer it from the start — every API, every database query, every HTTP response hardened by default. We've never had a client data breach.

Engineering Principles
✓bcrypt password hashing — cost factor 12, never MD5/SHA1/plain text
✓JWT RS256 tokens — asymmetric signing, short TTL, refresh token rotation
✓AES-256 encryption at rest — all sensitive fields encrypted in the database
✓TLS 1.3 in transit — HSTS preload, no HTTP fallback, HTTPS-only enforced
✓Content Security Policy — blocks XSS, clickjacking, injection attacks
✓SQL injection impossible — SQLAlchemy ORM with parameterized queries always
✓Dependency scanning on every CI run — known CVEs blocked before deploy
✓Secrets in environment variables — never in code, never in git history
Technologies Used
bcryptJWT RS256AES-256TLS 1.3HSTS preloadCSP headersOWASP ZAPGitHub Dependabot
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World's Best DevOps Architecture

GitHub Actions → Docker → Cloud Run — Deploy in Under 3 Minutes

Bad DevOps means 4-hour deploys, broken staging environments, and manual database changes on production. Our pipeline goes from git push to live in 3 minutes — tested, scanned, and rolled back automatically if health check fails.

Engineering Principles
✓Docker buildx --platform linux/amd64 — never deploys ARM64 to Cloud Run
✓GitHub Actions CI — lint → typecheck → test → build → push → deploy in sequence
✓Zero-downtime deploys on Cloud Run — traffic shifted only after health check passes
✓Separate staging and production environments — never test on live clients
✓Environment variables managed per-service — no secret drift between environments
✓Vercel for frontend — automatic preview deploys on every PR, production on merge
✓Automated rollback — Cloud Run reverts to last healthy revision on health check fail
Technologies Used
GitHub ActionsDocker buildxGoogle Cloud RunVercelCloud SQLGCP asia-south1Health check endpoints

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