OUR AI STACK

The tools we reach for
when the deadline is real.

These are the models, frameworks, and platforms our engineers use every day — not vendor logos we're paid to display. If it's on this page, we've shipped production systems with it.

Emergent AI

Emergent AI

AI app-building platform we use to rapidly prototype and ship internal tools.

Snowflake AI

Snowflake AI

Snowflake Cortex AI for running LLM and analytics workloads directly on warehoused data.

OpenAI

OpenAI

GPT models power the automation and generative features we build into client systems.

Google Gemini

Google Gemini

Gemini API and Vertex AI for multimodal reasoning and Google-scale model infrastructure.

Claude

Claude

Anthropic's Claude models for reasoning-heavy automation, coding agents, and content workflows.

Microsoft AI Foundry & Copilot

Microsoft AI Foundry & Copilot

Azure AI Foundry for model orchestration, plus Copilot Studio for enterprise AI agents.

LangChain

LangChain

The framework we build multi-step LLM chains and retrieval pipelines on.

LangSmith

LangSmith

Tracing, evaluation, and monitoring for every LLM pipeline we ship to production.

LangGraph

LangGraph

Stateful, multi-agent orchestration for complex agentic workflows.

Langflow

Langflow

Visual flow builder for rapidly prototyping agent and RAG pipelines before we harden them into code.

n8n

n8n

Workflow automation platform we use to wire AI agents into client systems without reinventing the plumbing.

Replit

Replit

AI-assisted cloud dev environment we reach for when a client needs a working prototype fast.

Supabase

Supabase

Open-source Postgres backend with auth and realtime built in — our default for Vibe Coding prototypes.

Ollama

Ollama

Runs open models locally or on-prem, for clients who need private inference off the public API.

Hugging Face

Hugging Face

Open model hub and the Transformers library we reach for whenever a client needs something other than a closed API.

Weights & Biases

Weights & Biases

Experiment tracking and model evaluation so ML runs are comparable and reproducible, not scattered across notebooks.

Pinecone

Pinecone

Managed vector database behind the RAG pipelines we build on top of LangChain.

Cursor

Cursor

AI-native code editor our engineers use for the day-to-day work Vibe Coding is built around.

Want to know how we'd use this stack for your problem?

Tell us what you're building — we'll tell you honestly which of these tools fit, and which don't.

Talk to an Engineer