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Chicago · AI Systems, Autonomous GTM and Infrastructure Engineering

Revenue systems and AI infrastructure, engineered to run themselves.

We build autonomous deal desks and revenue platforms, production MCP servers and agentic workflows, and the bare-metal and GPU infrastructure underneath them for B2B companies.

  • Autonomous GTM
  • Remote MCP and agents
  • Rust and Python
  • GPU and bare metal

Practice

Three things we build for B2B companies

Each is a production system, not a deliverable deck. They are strongest together: pipeline systems feed the deal desk, agents query the product through MCP, and the infrastructure is sized to the real workload.

Selected work

Case study: RentServers.com

Autonomous GPU and bare-metal clearinghouse

A GPU and bare-metal infrastructure marketplace engineered as an autonomous deal desk: Rust/Axum server-rendered quote ingestion, a 36-month TCO normalization engine, and automated multi-vendor inventory clearing.

Result

Shipped from zero to a production clearinghouse in under 14 days, normalizing multi-vendor bare-metal and GPU quotes with server-rendered pages delivered in under 40 ms and native MCP agent discovery.

Read the case study
  • Rust/Axum quote ingestion

    Buyer requirements and provider offers ingested and rendered server-side in Rust: fast, indexable and inexpensive to run under crawler and agent traffic.

  • 36-month TCO normalization

    Every quote converted to one 36-month cost that includes setup fees, IP addresses and bandwidth overage, so cloud, reserved, bare metal and colocation compare directly.

  • Multi-vendor inventory clearing

    Offers from multiple providers matched against one normalized specification, so buyers compare like for like and suppliers quote without another portal.

  • Native MCP agent discovery

    A remote MCP server and llms.txt let AI assistants query live price benchmarks and run the 36-month TCO calculation directly.

We practice what we sell

This site is an MCP server

Point Claude Desktop, Cursor or any MCP client at https://wellsconsulting.com/mcp. Your agent can list our practice areas, estimate a project's scope and request an architecture review without leaving the editor. Machine-readable docs live at /llms.txt.

  • get_consulting_services
  • estimate_project_scope
  • request_architecture_review
Cursor: ~/.cursor/mcp.json
{
  "mcpServers": {
    "wells": { "url": "https://wellsconsulting.com/mcp" }
  }
}
Claude Desktop: Settings, Connectors, Add custom connector

Production down after hours? Principal engineers from 7 PM to 6 AM Central, nationwide.

How we work

Principal engineers, production from week one

The engineer who scopes the system builds it. You always know what ships this week, what it costs and what happens when it is done.

  1. 01

    Scope

    A 30-minute architecture review, then a written range with the assumptions spelled out. You keep the plan whether or not you hire us.

  2. 02

    Build

    Weekly increments deployed where you can use them. GTM and MCP builds typically reach production in 14 days.

  3. 03

    Harden

    Tests, monitoring, rate limits, audit logs and a security pass before launch, not after the first incident.

  4. 04

    Operate or hand over

    We run it with you, or hand over source, infrastructure, credentials and runbooks. You own everything either way.

Get a written range in one business day

Two paths, about two minutes: an autonomous deal desk or revenue pipeline, or a custom MCP server, agent or systems architecture.

© 2026 Wells Software Consulting LLC. All rights reserved.

AI Systems, Autonomous GTM and Infrastructure Engineering