Tech stack

The tools behind the work.

We are vendor-neutral: we use what fits your constraints, your team and your cloud, from hyperscalers and sovereign GPUs to open models and the systems your people already use.

01

Infrastructure

Where your AI runs: your existing cloud, dedicated GPUs, the edge, or EU-sovereign providers.

Hyperscalers

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Oracle Cloud

GPU & AI clouds

  • RunPod
  • Lambda
  • CoreWeave
  • Modal
  • Together AI
  • NVIDIA

App platforms & edge

  • Cloudflare
  • Vercel
  • Railway
  • Fly.io

EU & sovereign

  • Hetzner
  • OVHcloud
  • Scaleway

Platform engineering

  • Kubernetes
  • Terraform
  • Docker
  • GitHub Actions

02

AI & ML

Models, training, serving, agents and evaluation: vendor-neutral, chosen per use case.

Model providers

  • Anthropic
  • OpenAI
  • Google Gemini
  • Mistral AI
  • Meta Llama

Frameworks

  • PyTorch
  • Hugging Face

Inference

  • vLLM
  • SGLang
  • TensorRT-LLM
  • Ollama

Agents & orchestration

  • LangGraph
  • LangChain
  • LlamaIndex
  • Pydantic AI
  • MCP

MLOps & evals

  • MLflow
  • Weights & Biases
  • Ray
  • Langfuse

03

Data platforms

The data foundations that AI depends on.

Data & AI platforms

  • Databricks
  • Snowflake
  • Microsoft Fabric
  • BigQuery

04

Backend

APIs, workflows and storage for production AI services.

Languages & APIs

  • Python
  • FastAPI
  • TypeScript
  • Node.js

Data, queues & workflows

  • PostgreSQL
  • pgvector
  • Redis
  • Apache Kafka
  • Temporal

Vector databases

  • Qdrant
  • Weaviate

05

Frontend

Copilots, chat interfaces, dashboards and review tools your users actually use.

Web

  • TypeScript
  • React
  • Next.js
  • Tailwind CSS
  • Vite

06

Connectors & integrations

Where your knowledge and workflows already live. We connect agents to them with scoped, audited access.

Productivity & knowledge

  • Microsoft 365
  • SharePoint
  • Google Workspace
  • Slack
  • Notion

Business systems

  • Salesforce
  • SAP
  • ServiceNow
  • HubSpot
  • Zendesk

Engineering

  • Jira
  • Confluence
  • GitHub
  • GitLab

Data

  • Snowflake
  • Databricks

Your stack isn't listed? Most of our work starts from what you already run. Tell us what you use →

Logos and names are trademarks of their respective owners. They show technologies we work with and do not imply a partnership or endorsement. Logos from Simple Icons (CC0).

Next step

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Up next · About Hands-on engineering, not slideware Who we are and the principles we work by. Blog Notes from the field In-depth articles on architecture, production lessons and research. Services Everything between the idea and the SLA Agents, MCP servers, RAG, fine-tuning, voice, vision and governance, 19 hands-on capabilities. Platforms & Cloud The heavy lifting behind AI Data & AI platforms, landing zones, accelerators and migrations between cloud AI providers. GPU Compute Your models. Your region. Your GPUs. Dedicated, in-region GPU capacity to host, fine-tune and train your own models.