React
UI library
The baseline for production web apps. Server components, deep ecosystem, team-wide fluency.
The tools we trust. And why.
We do not use tools because they are trendy. We use them because they are right for the job, and because our team knows them deeply enough to use them responsibly.
FRONTEND
What we build interfaces with.
The libraries, frameworks, and languages we reach for when building the screens your users touch.
Next.js
App framework
Routing, caching, and server components wired right out of the box. Right default for most apps.
TypeScript
Language
Every build is typed. Catches whole classes of bugs before runtime and makes refactors safer.
Astro
Marketing & content
Content-first pages that ship minimal JS. Islands architecture where interactivity is needed.
Vite
Build tool
Fast dev server and build pipeline. Where speed of iteration matters more than a full framework.
TanStack
Data & routing
Query, Router, Table, the typed primitives we reach for when the app gets state-heavy.
BACKEND
What powers the logic.
The runtimes, frameworks, and languages behind the services that do the work.
Node.js
Runtime
Mature ecosystem, great primitives for I/O-bound services, and the language we share with the frontend.
Bun
Runtime
Faster JS runtime with a batteries-included toolkit, install, bundle, test, in one binary.
Hono
Edge framework
Tiny, fast web framework for edge runtimes and Bun. Great for APIs that need to be close to the user.
NestJS
Node framework
Opinionated, modular Node framework for larger services where structure and DI pay off.
Express
Node framework
The minimal, no-ceremony choice when all we need is a small HTTP layer.
GraphQL
API protocol
Strongly typed API contract when the client needs fine-grained control over the response shape.
Python
AI & data
Default for AI, data, and ML workloads, rich scientific stack and mature tooling.
Go
High-throughput
When latency and throughput matter. Strong concurrency primitives, minimal runtime.
AI STACK
How we build intelligence.
The model APIs, orchestration frameworks, vector stores, and observability tools behind every AI feature we ship.
OpenAI
LLM API
GPT-4 class models for production features, robust function calling, structured output, solid latency.
Anthropic
LLM API
Claude for reasoning-heavy, agentic, and long-context workloads.
Gemini
LLM API
Google Gemini for multi-modal tasks and tight integration with Google Cloud tooling.
Groq
Fast inference
Ultra-low-latency LLM inference when response time is the UX.
Mistral
LLM API
Open-weight and hosted models when we need cost-performance control.
Hugging Face
Model hub
Open-source model hub, datasets, and inference endpoints for research-grade AI.
Cohere
Embeddings & rerank
High-quality embeddings and rerankers for retrieval, a strong default for RAG quality.
Replicate
Hosted inference
Run open-source models on demand without operating GPUs ourselves.
LangChain
Orchestration
For chaining LLM calls, tool use, and memory when we need a well-trodden abstraction.
LangGraph
Agents
Graph-based agent flows with proper state, checkpoints, and human-in-the-loop.
LlamaIndex
RAG framework
Retrieval pipelines, indexing, and data-aware LLM apps.
CrewAI
Multi-agent
Coordinating multiple specialised agents on a shared goal.
Vercel AI SDK
Client SDK
Typed React / Node helpers for streaming, tool calls, and chat UIs in Next.js apps.
Pinecone
Vector DB
Managed vector store for retrieval-augmented generation and semantic search at scale.
Qdrant
Vector DB
Self-hostable vector search when data has to stay inside your infrastructure.
Chroma
Vector DB
Embedded-first vector store for lightweight RAG prototypes and small corpora.
Ollama
Local inference
Running models locally for privacy-sensitive workloads and dev-time iteration.
LangSmith
Observability
Tracing, evaluation, and debugging for LLM apps in production.
Langfuse
Observability (OSS)
Self-hostable alternative for LLM tracing and evals when data residency matters.
PyTorch
Custom models
When a task truly needs a custom-trained or fine-tuned model, not a prompt.
DATABASE
Where data lives.
The stores and access layers that keep your data correct, fast, and durable.
PostgreSQL
Primary
Battle-tested, feature-rich, right for most business applications.
Drizzle
ORM
Typed SQL in TypeScript, edge-runtime friendly, no hidden query magic.
MongoDB
Document store
For unstructured or rapidly evolving data schemas.
Redis
Cache & queues
Caching, session management, and real-time pub/sub. Keeps apps fast under load.
Supabase
BaaS
Postgres with auth, storage, and real-time built in. Accelerates smaller teams.
INFRASTRUCTURE & DEVOPS
How we ship and scale.
The cloud platforms, containers, and pipelines that get every build to production reliably.
AWS
Cloud
Default cloud for larger deployments. Deep service catalogue, proven reliability.
Google Cloud
Cloud
Where AI and data workloads benefit from native tooling (Vertex, BigQuery).
Docker
Containers
Consistent environments from dev to prod. The packaging baseline.
Kubernetes
Orchestration
Orchestration at scale, only when the complexity actually earns its keep.
Vercel
Frontend hosting
The fastest path to production for Next.js and static apps. Great DX.
GitHub Actions
CI / CD
Automated testing and deployment pipelines on every project, no exceptions.
INTEGRATIONS & APIS
What we connect to.
The workflow tools, CRMs, payment rails, and messaging platforms we wire your product into.
Make
Workflow
Visual automation workflows where custom code is overkill.
Zapier
Workflow
Wide app coverage for quick, reliable glue between SaaS tools.
n8n
Self-hosted automation
When automations need to stay inside your infrastructure.
HubSpot
CRM
For full-funnel CRM integrations and lifecycle marketing.
Salesforce
CRM
Enterprise sales stacks and custom Salesforce API work.
Stripe
Payments
Recurring billing, invoicing, and global payment flows.
Razorpay
Payments (IN)
UPI, cards, and India-first payment flows with clean APIs.
Twilio
Comms
SMS, voice, and programmable messaging at scale.
WhatsApp Business
Messaging
Customer conversations where WhatsApp is the primary channel.
OUR PHILOSOPHY
We match the stack to the job.
A startup does not need Kubernetes. An enterprise does not need to rebuild on a trendy new framework. We use what is right, and explain every decision.
Have a specific tech requirement? Let's talk.