For commercial HVAC manufacturers' reps

Every bid, every line, every decision — in one place.

The bid-to-project pipeline, directory, and document hub HVAC rep teams run on every day — built on a data model that's AI-native from the ground up, with a Model Context Protocol server built in. The baseline you need, on an architecture made for AI.

AI-nativebuilt into the data model
MCP built-inquery it from any AI tool
Your workflowpipeline & docs you configure

Built for how reps actually work

From the first set of drawings to a closed-out job — and the analytics to learn from every one.

📊

Pipeline tracking

Move jobs through the stages your team defines — from first look to closed-out project — with a complete status-change history. Lost deals capture the reason, competitor, and winning line.

🏢

Company directory & contacts

A tenant-shared directory of the companies and people in your market — so the whole team works from the same source of truth.

📁

Per-job document hub

Per-job document repositories, organized into the categories you configure — drawings, pricing, submittals, and more — with upload, download, and full project export.

🤖

AI design & spec analysis

Reads mechanical drawings and specs, extracts the scheduled equipment, and classifies each item against your represented lines — your line, substitution opportunity, or other.

📈

Intelligence dashboards

A Sales view for win rate, losses by reason and competitor, time-in-stage, and pipeline by market — plus an Equipment view for extraction stats and position by manufacturer.

🔌

MCP built in

A Model Context Protocol server ships with the platform — so Claude or any AI tool can answer questions about your jobs, companies, pipeline, and lines in plain language. No exports, no glue code.

Why Linchpin is different

AI-native to the core — not bolted on after

Most tools add AI as a feature. Linchpin is built the other way around: the data model, the workflows, and the document layer were designed for AI from day one — so every job, contact, and extracted spec is structured for analysis, automation, and the agents you'll want next.

  • An AI-native data model — structured for analysis and automation, not retrofitted
  • A Model Context Protocol (MCP) server built in — query everything from Claude or any AI tool
  • AI woven through the product — analysis, classification, and intelligence, not a chatbot tacked on

AI spec analysis

Turn a spec set into a takeoff in minutes

Upload the mechanical drawings and specifications. Linchpin reads the schedules, pulls out the equipment, and tells you where you stand on every item — whether it's a line you represent, an opening for a substitution, or someone else's.

  • Extracted equipment persists across jobs for real analytics
  • Classified against your tenant's represented product lines
  • Runs on Claude or Gemini — with a no-cost heuristic fallback

New module · Manufacturer Intelligence

Know every line you carry — inside and out

Keep everything your manufacturers send you in one place — spec sheets, marketing materials, equipment updates — and just ask. Retrieval-augmented AI answers your natural-language questions straight from the source documents, with citations. And Linchpin watches the web for you, pulling public news and announcements from every manufacturer on your line card into a single feed.

  • Ask anything across your stored manufacturer docs — answers cite their source
  • Specs, submittals, and marketing, all searchable in plain language
  • An automatic feed of public news and announcements for every line you carry

One platform, every seat at the table

Reps

See your own pipeline, manage your jobs, and know exactly where every bid stands.

Admins

See the whole tenant's pipeline, drill into any rep, and run the analytics that drive strategy.

Platform

Multi-tenant from day one — strict per-tenant isolation, with super-admin oversight across agencies.

See your pipeline the way it should look

Tell us about your agency and we'll set up a walkthrough.