ENGINEERING STACK

Technologieswe work with

Production-proven tools across AI/LLM, cloud platforms, frontend, backend, mobile, and MLOps. We choose the right tool for your problem — not the most fashionable one.

Talk to an engineer Our services

AI / LLM

OpenAI GPT-4

Enterprise GPT-4 integrations — from chat to complex reasoning pipelines

See how we use it

Anthropic Claude

Long-context document processing and safety-critical AI applications

See how we use it

LangChain

LLM orchestration and agent frameworks for production AI applications

See how we use it

Cloud

Amazon Web Services

Production AI and application infrastructure on AWS

See how we use it

Google Cloud Platform

Vertex AI, BigQuery, and GCP infrastructure for data-intensive AI

See how we use it

Microsoft Azure

Azure AI services and enterprise Microsoft ecosystem integration

See how we use it

Frontend

React

Component-driven UIs for AI products, dashboards, and SaaS platforms

See how we use it

Next.js

Full-stack Next.js applications with SSR, SSG, and App Router

See how we use it

Backend

Python

FastAPI services, ML pipelines, and data engineering in Python

See how we use it

Node.js

Real-time APIs, WebSocket servers, and event-driven Node.js backends

See how we use it

PostgreSQL

Relational data architecture, pgvector for AI, and production PostgreSQL

See how we use it

AI / ML

PyTorch

Custom model training, fine-tuning, and production deployment with PyTorch

See how we use it

TensorFlow

TensorFlow Lite for edge AI and TFX for production ML pipelines

See how we use it

Mobile

React Native

Cross-platform iOS + Android from one TypeScript codebase

See how we use it

Swift / SwiftUI

Native iOS apps with Swift, SwiftUI, and Core ML integration

See how we use it

Kotlin / Jetpack Compose

Native Android apps with Kotlin, Jetpack Compose, and TFLite AI

See how we use it

MLOps / DevOps

Kubernetes

Container orchestration for ML workloads and microservices at scale

See how we use it

Docker

Containerization for consistent, portable AI and application deployments

See how we use it

AI / Data

Pinecone

Managed vector database for semantic search and RAG applications

See how we use it

MLOps

MLflow

ML experiment tracking, model registry, and production serving with MLflow

See how we use it

READY TO START?

Custom Software, AI & Digital Marketing — Let's Talk

View our services Discuss your project