ConceptAI

Popular

Computer Vision Generative AI & RAG Defence Predictive Analytics Genomics
Our Toolbox

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.

Looking for a specific stack fit? Let's talk.