Tacton

CPQ

CPQ for manufacturers with constraint-based configuration of complex physical products.

Updated July 2026 tacton.com

Overview

Tacton is a configure-price-quote platform built for industrial manufacturers whose products have thousands of interdependent options — machinery, vehicles, HVAC systems, equipment lines. Its constraint-based configurator works from engineering rules about what is physically and commercially valid, letting sales or even self-serve buyers assemble buildable configurations without engineering review on every quote. It extends into visual and CAD-integrated configuration, so a quoted product can generate drawings and manufacturing-ready outputs downstream.

Capabilities on the RevOps map

Which of the capability map's modules Tacton covers — each links to the module's own page, with every tool that supports it.

Module Phase Depth Note
Win the Deal
Product Configurator Configure & Quote Core Constraint-solver configuration guaranteeing engineering-valid outcomes across huge option spaces
Pricing Calculation Engine Configure & Quote Supported Pricing follows the configuration, including cost-based and market-based logic for manufactured goods

What makes it different

Constraint solving is the real distinction: instead of scripting if-then rules for every combination, Tacton's engine derives valid configurations from declared constraints, which scales to option spaces where rule maintenance would collapse. Its CAD and engineering integration depth sets it apart from CPQs born in software and services selling.

Frequently asked questions

Is Tacton relevant for SaaS or usage-based sellers?

Generally no — its center of gravity is physical product complexity, not subscription or consumption pricing. SaaS deal desks are better served by CPQs built around recurring revenue, ramps, and usage commits. Tacton belongs on shortlists for manufacturers.

What makes constraint-based configuration different from rules-based?

Rules-based CPQ encodes each dependency by hand, and rule sets grow brittle as options multiply. A constraint solver is declarative: you state what must hold — compatibility, capacity, physics — and the engine finds valid combinations itself, catching conflicts humans would miss.

Closest alternatives

By overlap on the capability map — computed, not curated.

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