Embedded Linux & Connected Device Software
Software for connected devices from the embedded Linux userland to the cloud: fleet backends, OTA update pipelines, edge gateways, telemetry and the apps operators use.
Explore this practiceChicago · Embedded Linux, AI Systems and Infrastructure Engineering
We build embedded Linux and connected-device software, autonomous deal desks and revenue platforms, production MCP servers and agentic workflows, and the bare-metal and GPU infrastructure underneath them for B2B companies.
Practice
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.
Software for connected devices from the embedded Linux userland to the cloud: fleet backends, OTA update pipelines, edge gateways, telemetry and the apps operators use.
Explore this practiceWe replace manual prospecting and static brochure sites with signal-driven pipeline systems, interactive ROI and TCO calculators, and tokenized RFQ desks that qualify and price demand automatically.
Explore this practiceWe expose your product, catalog or pricing engine directly to AI agents (Claude Desktop, Cursor, OpenAI) through custom remote MCP servers, /llms.txt and high-concurrency Rust and Python APIs.
Explore this practiceEnd-to-end systems engineering, cloud migration and infrastructure cost optimization across cloud, bare metal and GPU.
Explore this practiceSelected work
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.
Buyer requirements and provider offers ingested and rendered server-side in Rust: fast, indexable and inexpensive to run under crawler and agent traffic.
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.
Offers from multiple providers matched against one normalized specification, so buyers compare like for like and suppliers quote without another portal.
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
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_servicesestimate_project_scoperequest_architecture_reviewCursor: ~/.cursor/mcp.json { "mcpServers": { "wells": { "url": "https://wellsconsulting.com/mcp" } }} Claude Desktop: Settings, Connectors, Add custom connectorProduction down after hours? Principal engineers from 7 PM to 6 AM Central, nationwide.
How we work
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.
A 30-minute architecture review, then a written range with the assumptions spelled out. You keep the plan whether or not you hire us.
Weekly increments deployed where you can use them. GTM and MCP builds typically reach production in 14 days.
Tests, monitoring, rate limits, audit logs and a security pass before launch, not after the first incident.
We run it with you, or hand over source, infrastructure, credentials and runbooks. You own everything either way.
Two paths, about two minutes: an autonomous deal desk or revenue pipeline, or a custom MCP server, agent or systems architecture.
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AI Systems, Autonomous GTM and Infrastructure Engineering