Aptologics
Claude Partner Network

Registered Claude Partner

We build the MCP servers and Claude agents that work with your company's data in Snowflake, Databricks and PostgreSQL, and we get them through security review and into production.

Start a free pilot sprintSee how it works
Claude Partner Network

Aptologics is a Registered partner in Anthropic's Claude Partner Network. Registered is the network's entry tier; Select, Preferred and Global Premier sit above it.

What we build with Claude

MCP servers, Claude agents, and the work that gets them past security review.

Claude can't see your data

Your team uses Claude every day, but it only knows what someone pastes into the chat. We build an MCP server that lets Claude query Snowflake, Databricks, PostgreSQL or your dbt models directly, with sign-in in front of it so each person reaches only what their login allows.

The agent worked in the demo and costs too much in production

Most of that cost is the model reading data it never needed. We rebuild the tool layer so each turn carries less. On a customer-facing MCP server we built for a B2B SaaS company in 2026, that cut what the model reads on every turn by 100x. The client isn't named; the case study below shows the method.

People ask the data team the same questions every week

We set up Claude to answer those questions straight from your warehouse, down to the individual record, so the answer no longer waits on someone building another dashboard.

A Claude prototype works, and nobody will approve it for production

We put a gateway in front of it that removes personal data before the model sees it and logs every tool call it makes, the same gateway we built for a client's agent on the Claude Agent SDK. Then we deploy it on AWS or Azure and hand it to an owner on your team.

The tools involved

Claude clients

  • Claude Desktop
  • Claude Code
  • Claude API
  • Claude Agent SDK

Data it reads

  • Snowflake
  • Databricks
  • PostgreSQL
  • dbt

Where it runs

  • AWS
  • Azure
  • Docker
  • Kubernetes

Often paired with

MCP Servers

How we build, deploy and maintain MCP servers, step by step.

AI & Machine Learning

Models and ML pipelines, for the problems a language model is the wrong tool for.

Where we have done this

SAAS B2B

Engineering MCP at Scale: Reducing Token Consumption by 100x

A B2B SaaS platform had MCP working in development and unaffordable in production. We rebuilt the context layer and cut what the model reads on every turn by two orders of magnitude.

Read the case study

The free pilot sprint

Name the first deliverable

One call to agree on deliverables. The pilot sprint can start as soon as 3 days after it, and costs nothing.

Start a free pilot sprint
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