AI Integration

AI wired into your workflows, not just your chat window

We build AI automations that actually run — document processing, lead qualification, internal tools, customer workflows. Private on your own infra or cloud-powered. You choose the track.

Two tracks — in-house AI or cloud models

Local / in-house

Fully private stack — no external inference unless you choose it.

  1. Ollama
  2. Qdrant

Cloud / online

Frontier models via API automation — fast to ship and iterate.

  1. OpenAI
  2. Anthropic
  3. Gemini

Two tracks. Both result in AI that actually runs in your stack.

Fully Private

Local AI

Ollama (model serving) · Qdrant (vector store) · n8n (workflow automation), with optional Dify or Flowise as a UI layer for non-technical teams.

Runs entirely on your infrastructure via Coolify. Zero external API calls. Full data sovereignty. Ideal for regulated industries.

  • Private by design
  • No API costs
  • Runs on your servers
  • Offline capable
Managed

Cloud AI

OpenAI + Anthropic + Gemini

API-based automation via n8n workflows. Faster to deploy, access to frontier models. Best for non-sensitive workloads.

  • Latest models
  • Faster deployment
  • Managed by us
  • Scalable
How it works

From discovery to deployment

Discovery & Track Selection

We assess your data sensitivity, use cases, and infra to recommend Local or Cloud track.

Model Selection

We select and configure the right models for your use case. Llama 3 / Mistral for local; GPT-5 / Claude for cloud.

Pipeline Build

We build n8n workflows connecting your AI models to your data sources — PostHog, CRM, data warehouse, Qdrant vector store.

Integration & Testing

We connect the pipeline to your existing tools and run end-to-end testing with real data.

Monitoring & Iteration

Deployed on Coolify with observability. Monthly updates as models and your use cases evolve.

Real automation, not a chat window

Most teams use AI by typing into a box and then doing the work manually anyway. We build the pipelines that cut out the manual step: AI triggers from your event stream or webhook, pulls context from your data warehouse and Qdrant via RAG, and pushes outputs directly into your CRM, internal systems, or any downstream tool via API. Document processing, lead scoring, content workflows, internal knowledge tools — all running without a human in the loop.

Tech stack
Ollama
Local model serving
n8n
Workflow automation
Qdrant
Vector database
OpenAI / Anthropic
Cloud models
Coolify
Self-hosted infra
PostHog
Usage analytics

Pick your track and let's build.

Book an AI strategy call