AI that compresses hours of human work into seconds and delivers a personalized experience along the way.
Production AI software built end to end to save time and generate revenue while you sleep.
We put your organization in sync with itself and your customers.
Every one of these is a place where a person is doing something a machine should have handed them finished. Some sit at the front door, where your buyer is waiting. Some sit in the back office, where your team is retyping. The two flagship builds below came out of this list — the rest we build to order.
In sync with your customers
Client-facingThe buyer waits on a sales engineer, or guesses. Most never come back.
An agent asks the right questions, configures live, and hands the rep a complete spec.
AI Sales AgentAn estimator opens every email, drawing, and PDF by hand before quoting can start.
Spec extracted, prior quotes matched, work order drafted before anyone touches it.
Liquid QuoteThe form submission sits in an inbox until Monday morning.
Answered at 11pm from your real catalog and documentation, in your voice.
The buyer picks the wrong path, or gives up choosing one.
Routed to the right partner with the spec and context already attached.
In sync with itself
Back officeReps chase every lead with equal energy and finite hours.
Multi-signal scoring tuned to your win/loss history, with the reasoning shown.
Days of copy-paste out of last year's decks.
Drafted from your data and your templates, ready for a human to sharpen.
The same line items retyped into three different systems.
Extracted once, validated, and synced everywhere it belongs.
One senior engineer answers the same thirty questions every month.
A copilot that reads your actual documentation and answers in context.
The call happens. The record never gets updated.
Summarized, logged, and deal fields updated without anyone remembering to.
Figures above are typical of the builds we ship, not a guarantee. On the first call we scope the real numbers against your volumes.
A SaaS product and a tailored build for the most expensive front-door leaks.
Liquid Quote is our productized SaaS for sheet metal and machine shops — same app every customer gets, tuned to their library at onboarding. The AI Sales Agent is a tailored build we deploy and configure per-client to your catalog, configurator logic, and distributor map.
Liquid Quote
AI RFQ intake for sheet metal & machine shops.
Reads every incoming RFQ — emails, drawings, PDFs — extracts dimensions, materials, tolerances, finishing, and quantity. Matches against the shop's prior-quote library and surfaces the closest three historical matches. BOM extraction + classification (FABRICATE / SOURCED / HARDWARE), live vendor lookup against McMaster, Grainger, MSC, and Digi-Key, and Job Boss–ready CSV export are all in the box.
- ●Inbound PDF + drawing + email extraction
- ●Prior-quote library matching
- ●BOM classification + vendor lookup
- ●Job Boss CSV export
- ●Won-quote learning loop
AI Sales Agent
Configurator + buying guide for complex manufacturers.
A conversational agent that walks the buyer through your catalog, runs the configurator, and hands them off to the right rep with a complete spec. For B2B manufacturers with thousands of SKUs and a buyer journey that today takes a sales engineer to navigate. The agent handles the buyer where the rep can’t scale: midnight inquiries, complex spec questions, distributor routing, branded PDF quote handoff. Dual-mode option for internal field reps too — same engine, different audience.
- ●Conversational buyer agent (chat + voice)
- ●Multi-step configurator workflows
- ●Buying-process guidance through deep catalogs
- ●Distributor routing + handoff
- ●Branded PDF quote generation
- ●CRM lead sync from agent conversations
Custom builds for industrial verticals.
AI chatbot for an electrical jobsite tool manufacturer. Customer describes the jobsite; AI returns the right cable puller plus rope, sheaves, reel stand — bundled into a branded PDF quote for distributor handoff.
Configures custom serving lines for cafeterias and hospitals. Returns specific model numbers, layout suggestions, and a sales-rep handoff with branded PDF.
Pre-qualifies CNC machining jobs before the buyer ever uploads CAD. Voice or text input, live spec capture, instant ballpark price, and routing to instant-quote or talk-to-sales.
Dual-mode chatbot for a specialty chemicals company. Single AI engine, two audiences: website visitors get a friendly Solutions Guide; internal RMC field reps get a senior-engineer copilot.
You have three options. Most teams pick wrong.
The first instinct is to build in-house — your CTO says it’s tractable, you hire one engineer, six months later you have a prototype and a year of opportunity cost. The second is to buy a generic SaaS that converts at 1.5% because it doesn’t know your catalog. Both have their place. Here’s the honest tradeoff.
You own the code. Tight fit to your business.
4-6 months to first prototype. One ML engineer costs $200K+/yr. You own the model upgrades, the API drift, the security patches, the integrations — forever.
Live in days. Vendor handles maintenance.
Generic. Doesn't know your catalog, your reps, your distributors. Buyers know they're talking to a chatbot. Conversion ceiling is low.
2–6 weeks to a working system tuned to your business. We own the upgrades, the integrations, the maintenance. Your team uses something that feels custom because it is.
You don't own the code outright (we license per engagement). Worth it if you're not in the AI-platform business yourself.
Want every AI conversation to land in your pipeline?
Wire the AI agents into your CRM — Zoho, HubSpot, GoHighLevel, or whatever you already run — and you get lead capture, automated follow-up, and customer-level history alongside every buyer conversation.
Top questions
What is an AI sales agent, and how is it different from a chatbot?
An AI sales agent is software that talks to a website visitor in plain language to qualify the lead, answer product questions, recommend the right product or configuration, and hand a sales-ready conversation to your team. The difference from a chatbot is intent: a chatbot deflects support tickets, while a sales agent is built to move a buying decision forward. In practice that means it reads your catalog and pricing logic, not just an FAQ.
What is the best AI chatbot for a B2B website?
There is no single best AI chatbot; the right choice depends on what the bot actually has to do. For simple FAQ and lead capture, off-the-shelf tools like Intercom, Drift, or Tidio deploy fast and cost little. For B2B sites with deep catalogs, configurators, or complex pricing, a custom-built AI sales agent outperforms a generic chatbot, because it reads your products and pricing logic and guides a real buying decision instead of answering scripted questions. Match the tool to the complexity of your sale, not to the brand name.
How much does a custom AI sales agent cost?
A custom AI sales agent has two separate costs, and conflating them is what makes agents look expensive. The first is a one-time build: scoping, catalog and pricing integration, and CRM wiring, priced like any software project. The second is ongoing and small, because an agent you own runs on usage-based AI costs (the tokens behind each conversation) plus minimal hosting, which for typical B2B traffic lands in the tens of dollars a month and scales with actual conversations, not per-seat fees. That is the opposite of off-the-shelf chatbots, where the $50 to $2,500 a month you see advertised is platform rent you pay every month whether it converts or not.
Is an AI sales agent worth it for a B2B website?
For most B2B sites with real traffic, yes, and the math is fast because B2B deal sizes are large. The agent usually only needs to recover a single additional sale to pay for its build, so breakeven typically lands in 1 to 2 months and can be the first week when the product runs five or six figures. Well-built sales agents lift chat conversion by 30 percent or more, and the deciding factor is implementation quality, not the technology itself.
Can an AI sales agent handle a deep product catalog or configurator?
Yes, and that is where it earns its keep for manufacturers and distributors. A well-built agent handles data extraction, price lookups, and catalog matching, then walks the buyer to the right part or configuration and triggers a quote. A generic chatbot trained on an FAQ cannot do this.
Bring us the buyer journey that bleeds the most.
We’ll scope an AI build on the first call and tell you whether it’s a custom engagement, a Liquid Quote install, or a tailored Sales Agent deployment. The conversation is free.