Technologies We Build With

OpenAI

GPT models for natural language processing, code generation, and intelligent automation

Meta (LLaMA)

Open-source large language models for custom AI solutions

Mistral AI

High-performance European AI models for enterprise applications

Google Gemini

Multimodal AI models for text, image, and code understanding

Hugging Face

Platform and models for NLP, computer vision, and ML deployment

MongoDB Atlas

Vector database for AI-powered search and recommendations

Chroma

Open-source embedding database for LLM applications

PyTorch

Flexible deep learning framework preferred for research and production-ready models

TensorFlow

Production-grade ML framework with strong tooling for model serving and mobile/edge deployment

Scikit-learn

Classic ML library for feature engineering, baseline models and explainable pipelines

XGBoost / LightGBM

Gradient-boosted trees for tabular prediction problems with excellent performance

Pinecone

Managed vector database for low-latency similarity search and RAG pipelines

FAISS

Fast, open-source library for high-dimensional vector similarity search used in RAG and retrieval systems

Weaviate

Vector search engine with rich metadata support and hybrid search capabilities

Milvus

High-performance open-source vector DB optimized for production similarity search

LangChain

Framework for building chains and orchestration around LLMs — great for agents, RAG and pipelines

MLflow

Open-source platform for managing model lifecycle: experiments, tracking, and model registry

Weights & Biases

MLOps tooling for experiment tracking, model performance dashboards and collaboration

Ray

Distributed compute framework for scalable model training, serving and reinforcement learning workloads

Kubernetes & Docker

Container orchestration and containerization for scalable, resilient model serving and infra

AWS SageMaker

Managed ML platform offering training, tuning, hosting and MLOps workflows on AWS

GCP Vertex AI

Google Cloud’s unified AI platform for training, deploying and managing ML models

Azure AI / Azure ML

Azure’s ML and AI services for model training, deployment and enterprise integrations

UiPath

Leading RPA platform for automating repetitive tasks; pairs well with AI for intelligent automation

Automation Anywhere

RPA platform for end-to-end process automation and orchestration

Power Automate

Low-code RPA and workflow automation integrated with Microsoft ecosystem

React

Industry-leading library for building dynamic user interfaces

Next.js

React framework for production-grade applications with SSR and SSG

Angular

Enterprise framework for large-scale applications

Vue.js

Progressive framework for building user interfaces

TypeScript

Typed superset of JavaScript for safer, more maintainable code

Node.js

JavaScript runtime for scalable server-side applications

Python

Versatile language for web development, data science, and AI

Java

Enterprise-grade language for robust backend systems

.NET

Microsoft framework for Windows and cross-platform applications

Go

High-performance language for concurrent systems

React Native

Cross-platform mobile framework using React

Flutter

Google's UI toolkit for beautiful native applications

Swift

Apple's language for iOS, macOS, and watchOS development

Kotlin

Modern language for Android development

Ionic

Hybrid mobile framework using web technologies

Apache Hadoop

Distributed storage and processing framework for big data

Apache Spark

Unified analytics engine for large-scale data processing

Apache Kafka

Distributed event streaming platform

Stream processing framework for real-time data

Platform to programmatically author, schedule and monitor workflows

PostgreSQL

Advanced open-source relational database

MongoDB

Document-oriented NoSQL database

MySQL

Popular open-source relational database

Redis

In-memory data structure store for caching and real-time applications

Cassandra

Distributed NoSQL database for high availability

Comprehensive cloud platform with 200+ services

Microsoft Azure

Enterprise cloud platform with hybrid capabilities

Google Cloud Platform

Cloud platform with strong AI/ML and data analytics

Cloud data warehouse for analytics and data sharing

Unified analytics platform for big data and AI

Docker

Platform for building, shipping, and running containerized applications

Kubernetes

Container orchestration platform for automating deployment and scaling

Terraform

Infrastructure as Code tool for cloud provisioning

Ansible

Automation tool for configuration management and deployment

Jenkins

Open-source automation server for CI/CD pipelines

Suite of AWS services for DevOps practices

Architectural style for building distributed, independently deployable services

Event-driven architecture without server management

Architecture based on event production, detection, and reaction

Command Query Responsibility Segregation pattern

Architectural pattern for maintainable and testable systems