The technologies behind — ITSolvez
Our Tech Stack

The technologies behind every build.

86+ production-proven technologies across AI & machine learning, mobile, web, backend, cloud and databases — chosen per project in discovery, and maintained by the ISO 9001-certified team that ships with them daily.

Python logoPython
TensorFlow logoTensorFlow
PyTorch logoPyTorch
LangChain
RAG
Keras logoKeras
Scikit-learn logoScikit-learn
LlamaIndex
LoRA
OpenAI GPT
Claude
Gemini
Hugging Face
Stable Diffusion
YOLOv8
Bloom (BigScience)
Flamingo
PaliGemma
OpenCV logoOpenCV
Blockchain
Integrated ML
Federated Learning
MLOps
ONNX
Multimodal AI
AI Solutions
IoT Analytics
Guardrails
Phi
ML Pipelines
DPDP Compliance
Prompt Engineering
AI Security
Mask R-CNN
Real-time Video AI
Multi-agent & LLM

A stack decision is a business decision

The wrong technology choice costs you twice — once to build, once to escape. Four rules govern every recommendation we make.

1

Fit over fashion

The stack is chosen in discovery, per project — your team, your budget, your scale targets. We don't force one framework on every client.

2

Production-proven only

Every technology here has shipped in real client systems we maintain today. No résumé-driven experiments on your budget.

3

Exit-friendly by design

Mainstream, well-documented technologies mean any competent team can maintain what we build. No lock-in by obscurity.

4

AI-ready foundations

Data models and APIs are structured so AI features — chat, RAG, analytics — can be added without a rebuild.

See how we compare frameworks: Flutter vs React Native

Certified & Accredited

Technology choices backed by certified process

Quality, information security and IT service management — independently audited and certified by Anglia Compliance Group, UK.

Ready to talk?

Not sure which stack fits your project?

Tell us what you're building — we'll recommend the right technologies in a free consultation, with honest reasoning you can challenge.

ISO 27001 certified — your details are handled securely and never shared.