Tools we train on.

ChatGPT

+ Enterprise ChatGPT

Research, writing & analysis

Research and draft with clear instructions, source checks and approved access.

Claude

+ Claude Code

Reasoning & coding

Reason through complex tasks and build reviewed code with Claude.

Gemini

+ Enterprise Gemini

Multimodal AI

Work with text, images and business information in approved workflows.

Copilot

GitHub + Microsoft

AI at work

Use coding assistants and Microsoft 365 AI in everyday work.

LangChain

+ LangGraph

Agent orchestration

Connect models, tools and decisions into controlled, multi-step workflows.

RAG & vectors

Pinecone · Qdrant · pgvector

Knowledge retrieval

Search by meaning and ground AI answers in documents people can verify.

MCP

Tool integration

Connected assistants

Connect assistants to approved tools with scoped permissions and human checks.

Automation

n8n + Power Automate

Repeatable work

Build repeatable workflows with exception handling and approval steps.

Cloud AI

Azure · AWS · Google Cloud

From prototype to service

Run AI workloads in approved cloud environments with clear access controls.

Build & ship

Python · FastAPI · Docker

Practical AI services

Build automations, expose model APIs and package services for deployment.

Predictive ML

scikit-learn + XGBoost

Patterns into predictions

Train, compare and validate predictive models on real business problems.

MLflow

MLOps & evaluation

Experiments to production

Track experiments, evaluate models and monitor what changes after deployment.

PyTorch

Deep learning

Neural networks in practice

Build and train neural networks for language, vision and complex data.

TensorFlow

Deep learning

Train, test, deploy

Develop neural-network models and prepare them for practical deployment.

Hugging Face

LLM fine-tuning

Open models, adapted

Explore open models and fine-tune them for specialized tasks.

Databricks

ML & AI platform

A shared model workspace

Prepare training data and manage machine-learning workflows in one platform.

LLM inference

vLLM · TensorRT-LLM

Serve models efficiently

Explore model serving, batching, quantization and latency–throughput trade-offs.

AI infrastructure

GPUs · CUDA · Triton · OpenCL

The systems behind AI

Plan GPU capacity, deploy inference services and monitor cost and reliability.