MCP Servers
A clean, governed bridge between your systems and any AI model.
AI Automation
Production-grade AI infrastructure.
For teams past the prototype stage. We build self-hosted pipelines, MCP servers, and deployed systems that connect AI directly to your data and tools, securely, observably, and built to scale.
100%
Self-hosted control
Full
Observability built in
SOC-ready
Security practices
∞
Scales with you
When a no-code tool isn't enough
No-code platforms hit a ceiling: cost per task, data privacy, custom logic, and volume. When you cross it, you need real infrastructure. We build MCP servers and self-hosted pipelines that give AI safe, structured access to your systems, on infrastructure you own.
- MCP servers that expose your data and tools to AI models safely
- Self-hosted deployments on AWS or DigitalOcean, under your control
- Observability with Langfuse so you can see every call, cost, and failure
- PII handling and local redaction to keep sensitive data off third-party clouds
- Built to scale from first user to high volume without a rebuild
What's Included
Self-Hosted Deploys
Pipelines on your cloud, with no per-task surprise billing.
Observability
Langfuse tracing so nothing the AI does is a black box.
How We Work
01
Discovery
A short call to understand your process, tools, and goals.
02
Scope & Quote
A fixed scope and price. No open-ended billing surprises.
03
Build
Iterative delivery with rapid feedback loops and your approval.
04
Launch & Support
Go live with monitoring and documentation you own.
Common Use Cases
Natural-language data search
Ask your database questions in plain English.
Secure AI access
Models that query internal data without exposing it.
Cost + quality monitoring
Track token spend and output quality per workflow.
Custom AI pipelines
Multi-stage model orchestration for complex tasks.
Investment
These are senior builds. We scope precisely after a technical discovery and quote a fixed plan with milestones.
Infrastructure engagements are scoped per project, typically multi-week
Questions
What is MCP?
Model Context Protocol, a standard way to give AI models secure, structured access to your tools and data. It's how serious AI systems connect to the real world.
Where is it hosted?
Your infrastructure: AWS, DigitalOcean, or your existing cloud. You own and control it.
How do you keep our data private?
Local PII redaction with tools like Microsoft Presidio, self-hosting, and keeping sensitive data out of third-party model calls entirely where required.
Ready To Automate This?
Book a 15-minute discovery call. We'll tell you straight whether automation makes sense for your case, and what it would take.