The Technology That Powers Our Outcomes
We choose tools on merit — for performance, community support, production reliability, and fitness for the domain. Here is what we deploy.
Section 01
Programming Languages
Languages
Python
Primary language for all AI/ML pipelines, data engineering, API development, and scripting.
Java
Enterprise backend systems, Spring Boot services, and JVM-based enterprise integrations.
C/C++
Performance-critical inference engines, edge deployment, and computer vision modules.
JavaScript / TypeScript
Frontend applications, React dashboards, and Node.js API layers.
Section 02
AI, ML & Deep Learning
Frameworks
TensorFlow & TensorRT
Model training, optimization, and edge-optimized inference.
OpenCV
Computer vision pipelines, image processing, and video analytics.
Sentence Transformers
Embedding generation for semantic search and RAG retrieval systems.
PyTorch
Primary framework for research models, fine-tuning, and RL agents.
LLMs (Open Source & API)
Qwen, Mistral, LLaMA, and proprietary models via Ollama, HuggingFace.
FAISS / ChromaDB
High-performance vector databases for large-scale RAG deployments.
Section 03
Cloud, MLOps & Infrastructure
Cloud & MLOps
AWS
Primary cloud platform for compute, storage, and managed AI services.
Kubernetes
Orchestration for scalable, resilient AI service deployments.
NVIDIA GPUs (L40S, A100)
High-performance training and inference for large model workloads.
Docker
Containerization for consistent, reproducible deployment across environments.
MLflow / Weights & Biases
Experiment tracking, model versioning, and training pipeline management.
On-Premise Options
Full air-gapped deployment capability — zero cloud dependency when required.
Section 04
Databases & Storage
Databases
PostgreSQL
Primary relational database for structured data, audit logging, and transactional workloads.
MySQL
Lightweight relational deployments and embedded systems.
MongoDB
Document store for unstructured and semi-structured data pipelines.
SQLite
On-device and embedded storage for edge-deployed AI applications.
Section 05
Frameworks & APIs
Frameworks & Application Layer
FastAPI
High-performance Python API framework for AI service deployment.
Django & Flask
Python web frameworks for backend services and rapid API development.
LangChain & LlamaIndex
LLM orchestration frameworks for agentic and RAG-based AI applications.
React.js / Next.js 14
Frontend frameworks for dashboards, portals, and enterprise web applications.
Spring Boot
Enterprise Java backend framework for high-throughput service architectures.
Docling & PyPDF
Document ingestion and parsing for complex PDF, form, and contract processing.
Section 06
Visualization & BI
Visualization & Business Intelligence
Power BI
Enterprise BI dashboards for business stakeholders and operational reporting.
Matplotlib & Seaborn
Python-native visualization for EDA, model evaluation, and research outputs.
ECharts & Recharts
Embedded interactive charts for AI analytics dashboards and data applications.
Tailwind CSS
Utility-first CSS framework for clean, responsive data-intensive interfaces.