Production-Grade Technology Stack
We build on resilient, proven tools capable of handling high transaction volumes, precise data delivery, and scalable deployment — at any stage of growth.
Technologies We Build and Ship With
The AI & automation stack behind everything we build.
LLM & Foundation Models
OpenAI, Anthropic (Claude), Google Gemini, Meta Llama, Mistral, and Hugging Face models applied to real product workflows.
AI Agent Frameworks
LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, and AutoGen for reasoning, planning, and multi-agent systems.
RAG & Vector Search
Pinecone, Qdrant, Weaviate, Milvus, pgvector, and Chroma — retrieval pipelines that ground AI in your own data.
Machine Learning
Python, PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy for custom models where off-the-shelf tools fall short.
Voice AI & Speech
Whisper, ElevenLabs, OpenAI Realtime, and cloud speech services for real-time conversational voice interfaces.
Our engineers continuously validate our operational languages, keeping clean separation of concerns across the entire front-to-back ecosystem.
Backend Frameworks
Python
FastAPI, Django, and Flask — our default for AI/ML services, automation, and data-heavy backends.
Node.js
Express.js and NestJS APIs powering our React front ends across MERN applications.
Java & .NET
Spring Boot and .NET/C# for enterprise-grade backends where the client's existing ecosystem calls for it.
TypeScript & Beyond
TypeScript across the stack, plus Go, PHP, and C++ where a project's constraints call for them.
Frontend Systems
React & Next.js
Our default for dynamic, component-driven interfaces — from single-page apps to server-rendered platforms.
Angular & Vue
Structured frontend frameworks for teams and projects already standardized on them.
TypeScript & JavaScript
Type-safe code shared across frontend and backend, catching integration errors before production.
UI Toolkits
Tailwind CSS, Material UI, Bootstrap, and Shadcn/ui for fast, consistent interface design.
Data Storage & Architecture
Relational
PostgreSQL, MySQL, SQL Server, and Oracle for structured, transactional data.
NoSQL
MongoDB, DynamoDB, and Firebase for flexible, schema-optional application data.
Cache & Search
Redis, Elasticsearch, and OpenSearch for fast lookups and full-text search at scale.
AI / Vector Databases
Pinecone, Qdrant, Weaviate, Milvus, pgvector, and Chroma powering our RAG and semantic search pipelines.
Cloud & Infrastructure Automation
AWS
EC2, ECS, EKS, Lambda, S3, RDS, Bedrock, and SageMaker for scalable cloud infrastructure.
Microsoft Azure
Azure OpenAI, AI Foundry, AKS, Functions, and Cosmos DB for enterprise cloud and AI workloads.
Google Cloud
GCP infrastructure and managed services where a client's environment is already on Google Cloud.
DevOps Toolchain
Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI/CD, Prometheus, and Grafana for build, deploy, and observability.
APIs & System Integration
API Protocols
REST, GraphQL, WebSockets, gRPC, and Webhooks for connecting applications and services.
Auth Standards
OAuth 2.0, OpenID Connect, and JWT for secure, standards-based authentication and access control.
Enterprise Integration
ERP, CRM, HRMS, payment gateway, banking, and government API integration into existing business systems.
Legacy Systems
Connecting modern applications to legacy platforms and third-party systems already in place.
Every stack element maps to your KPI constraints.
We don't chase trends — we prioritize structural reliability, long-term talent availability, and clean, maintainable upgrades.
Systematic Integration Journey
Technology Assessment
Choosing the right stack for your project
Architecture Design
Planning scalable and secure systems.
Agile Development
Iterative and efficient coding practices.
Testing & Optimization
Ensuring quality and performance.
Deployment & Support
Reliable launch and ongoing maintenance.