What it is built with
Technologies.
The 52 tools we work with, grouped by the capability they serve. Open the one you care about: if you already run some of this, we start from there instead of from scratch.
01 LLMs, agents and RAG
7 tools
- Frontier model APIs (Claude, GPT)
- LangChain / LlamaIndex
- vLLM (LLM inference)
- Elastic (vector search)
- Qdrant / pgvector
- NeMo Guardrails / Llama Guard
- LangSmith / Ragas (evaluation)
02 Computer vision
7 tools
- PyTorch
- YOLO (Ultralytics)
- Segment Anything (SAM)
- OpenCV
- NVIDIA DeepStream / Metropolis
- Roboflow
- Landing AI
03 Data and ML
8 tools
- Databricks
- Snowflake
- Apache Spark
- Kafka / Confluent
- MLflow
- scikit-learn / XGBoost
- dbt
- H2O.ai
04 3D, simulation and digital twins
6 tools
- NVIDIA Omniverse
- Bentley iTwin
- Siemens Xcelerator / Mendix
- Unity / Unreal Engine
- NeRF / Gaussian Splatting (nerfstudio)
- COLMAP / photogrammetry
05 Robotics and autonomous systems
5 tools
- ROS 2
- NVIDIA Isaac
- Gazebo (robotics simulation)
- PX4 / ArduPilot (drones)
- PCL / SLAM
06 Business processes and agents
5 tools
- Odoo (ERP)
- UiPath
- Microsoft Copilot Studio / Power Platform
- Resolve.io
- n8n (workflow orchestration)
07 Platform, MLOps and edge
8 tools
- Kubernetes / Docker
- Red Hat OpenShift AI
- NVIDIA Triton / NIM (inference)
- ONNX Runtime
- Terraform (IaC)
- AWS / Microsoft Azure
- NVIDIA Jetson (edge)
- Datadog (observability)
08 AI governance and security
6 tools
- IBM watsonx.governance
- Credo AI
- Guardrails and content filtering
- MLflow Registry / model cards
- Vectra AI
- CyberArk
Talk to us
What do you have to live with?
Almost nobody starts from scratch. Half an hour and you leave knowing what fits what you already have, and what would need to change.
Talk to us