ThreeKit
Make quoting easier. Everywhere you sell.
Make quoting easier. Everywhere you sell.
This page is designed to help you find out whether ThreeKit is good and if it is the right choice for you.
Threekit is an AI-native quoting platform that helps manufacturers make products easier to configure, quote, and sell. Sales reps, dealers, and customers can provide requirements through voice memos, photos, specs, RFPs, or natural language and receive a valid, configured quote in seconds instead of hours or days.
The platform includes an AI Quote Agent for CPQ that generates configured quotes grounded in product rules and pricing. A Web Leads Agent engages inbound website visitors, qualifies buyer intent, and routes high-intent traffic to self-serve quoting, dealers, or sales reps. An agentic visual configurator provides AI-powered guided design and product configuration with real-time 3D visualization and augmented reality rendering.
Rule-based configuration enforces complex product rules to ensure only valid builds are produced without manual validation. Real-time pricing calculations run against price books and margin rules integrated with CPQ systems. Structured output passes directly to Salesforce CPQ, Oracle CPQ, Infor CPQ, Configure One, ERP, and order entry systems without re-keying.
Collaboration and deal rooms offer shared project spaces for real-time customer and seller collaboration. Governed AI recommendations ensure no hallucinations, no competitor mentions, and no cross-customer data sharing, with full admin, moderation, and analytics dashboards.
Threekit works across websites, mobile devices, tablets, and internal sales tools. It integrates with Salesforce, SAP, Shopify, B2B commerce platforms, PIM, CMS, DAM, and CRM systems. The platform deploys in 90 days alongside existing systems without migration. It is ISO 27001 certified and serves manufacturers across industries including building materials, furniture, heavy equipment, medical devices, AV equipment, doors and windows, and industrial automation.
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AI Quote Agent
Accepts voice memos, photos, specs, RFPs, and natural language to generate valid configured quotes grounded in product rules and pricing.
Web Leads Agent
Engages inbound website visitors, qualifies buyer intent, and routes high-intent traffic to self-serve quoting, dealers, or sales reps.
Agentic Visual Configurator
AI-powered guided design and product configuration with real-time 3D visualization.
Rule-based Configuration
Enforces complex product rules to ensure only valid builds are produced without manual validation.
Pricing & Cost Calculations
Real-time pricing against price books and margin rules integrated with CPQ systems.
3D Product Visualization
Photorealistic real-time 3D and augmented reality product rendering.
CPQ/ERP Handoff
Structured output passed directly to Salesforce CPQ, Oracle CPQ, Infor, Configure One, ERP, and order entry systems without re-keying.
Collaboration & Deal Rooms
Shared project spaces for real-time customer and seller collaboration.
Fast Deployment
Live in 90 days, works alongside existing systems without migration.
Threekit primarily serves manufacturers selling complex, configurable products in B2B markets. Its audience includes sales teams, dealer networks, and end customers in industries such as AV equipment, building materials, doors and windows, furniture, heavy equipment, medical devices, and industrial automation. These users need to configure products with many options, generate accurate quotes quickly, and collaborate across channels — whether through websites, mobile devices, tablets, or internal sales tools.
Threekit was built by the same team behind BigMachines (Oracle CPQ) and Steelbrick (Salesforce CPQ), bringing deep enterprise CPQ expertise. Unlike traditional CPQ systems focused on order processing, Threekit addresses the front-end sales handoff with an AI-first approach. It accepts any input format including voice, photos, and RFPs, deploys in 90 days without migration, and runs alongside existing systems rather than replacing them. It delivers governed AI recommendations with no hallucinations or competitor mentions and is ISO 27001 certified.
Threekit offers an AI-first approach to quoting that accepts any input format — voice memos, photos, RFPs, specs, or natural language — and returns a valid configured quote in seconds rather than hours or days. It deploys in 90 days alongside existing CPQ, ERP, and commerce systems without requiring migration or replacement. The platform enforces complex product rules to ensure only valid builds are produced, provides real-time 3D visualization and augmented reality, and delivers governed AI recommendations with no hallucinations or cross-customer data sharing. It was built by the team that created BigMachines (Oracle CPQ) and Steelbrick (Salesforce CPQ), combining deep enterprise CPQ expertise with a modern AI-native architecture.
Threekit was incorporated in July 2018 in the United States. It was built by a team with deep CPQ experience, including the builders of BigMachines (which became Oracle CPQ) and SteelBrick (which became Salesforce CPQ). The company is led by CEO Matt Gorniak and has raised through Series B funding. It has grown to 51–100 employees and is headquartered in Chicago, Illinois.
We have collected here some useful links to help you find out if ThreeKit is good.
Check the traffic stats of ThreeKit on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of ThreeKit on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of ThreeKit's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of ThreeKit on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about ThreeKit on Reddit. This can help you find out how popualr the product is and what people think about it.
It was https://threekit.com. It was a while ago now but we had to use MySQL for our primary copy that users used (e.g. prod), and only when they were working on branches did we use dolt. I think the second complication was that Dolt was not stable enough to use in heavy load scenarios as well. - Source: Hacker News / 6 months ago
Like many others, I was also first a demo scene coder, because what else was one to do if you were good at math and computer science but still stuck in high school? My 1996 era renderer did reflections, bump, color textures, etc all in 16 bit using x86 assembler rasterizers with 256 color palette: https://twitter.com/benhouston3d/status/1260346800176877571 Source code here: https://github.com/bhouston/3DMaskDemo1997. - Source: Hacker News / almost 3 years ago
We did. https://clara.io/pricing. It was incredibly ineffective. But we did use the tech for this: https://threekit.com, which is an enterprise SAAS offering. - Source: Hacker News / almost 4 years ago
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