A deterministic constraint engine for configure-to-order pricing — live across fourteen verticals, from safety equipment and HVAC to medical gas and switchgear. AI agents gather the facts and explain every answer; the price always comes from your rules. No invented numbers. Ever.
Emergency showers, eyewash, freeze protection — quoted with Div 2 heat trace and scald valves, checked line by line.
We bring the rule pack — from twenty years of configuring these products. Override it with your own rules, governed and audited — and you're onboarded. Then the math: ten estimators, three times the quotes.
The engine is a full MCP server. Connect it to Claude — or any MCP-capable agent — and your reps quote in plain conversation: "three freeze-protected units for a Class I Div 2 site." The assistant talks. Every check and every number comes from your rules.
“Did exactly what they said they would do. On time and on budget. We will definitely use them again.”
“Overcame complex volume discounting challenges to make it not only work but scaleable.”
Salesforce-native or standalone on AWS — deployed inside your infrastructure. Quotes sync to your CRM, post to your ERP, and stay in systems you already own. No new platform to buy, no data leaving your environment.
Everyone wants an AI agent quoting their products. Nobody wants an AI agent inventing a discount. The Agent Pricing Engine splits the job: the agent handles the conversation — the constraint engine owns every number.
A raw LLM quoting from a price sheet will eventually hallucinate a configuration that doesn't exist, a discount nobody approved, or a delivery promise engineering can't meet. One wrong quote in production costs more than the automation saved.
The agent gathers facts and talks to people. Every configuration check, compatibility rule, and price comes from the deterministic engine — same inputs, same answer, every time. If a combination is invalid, the engine says why and shows every way to fix it.
Conversation on top, constraints underneath, governance around everything.
A constraint engine encodes your product model — options, compatibility, capacity, lead times, pricing waterfall. It never improvises. Identical inputs produce identical quotes, which is what your auditors, your CFO, and your dealers actually require.
Reps and customers answer plain questions, ranked by what actually narrows the quote. Hit a conflict? The agent relays every minimal way out. Ask "why not X?" and get the real constraint, not a shrug. Explore what-ifs before committing.
Engineers teach the engine in plain words. Every proposed rule is previewed against your real quote history — see exactly which past deals it would have changed — and a second engineer approves before it goes live. Nothing changes silently.
Permissions are policy, not politeness — the engine enforces who can do what.
Answer the engine's questions, get a valid quote, submit. Approval routing is decided by policy, not by whoever answers email fastest. Similar past quotes are one query away.
Every submitted quote arrives as a review packet: the facts, the decisions, the price build-up, and any disagreements — with full history. Approve or push back with the context already assembled.
"Model X can't ship with coating Y above 40°C" — said in plain words, translated to rules, previewed against history, approved by a peer. Your product knowledge compounds instead of living in one veteran's head.
Deployed by Nteli — the same team that wires CPQ, ERP, and channel revenue together for manufacturers. The engine plugs into the stack we already connect.
Bring your gnarliest configure-to-order product — the one with the compatibility matrix nobody fully remembers. We'll show the engine quoting it, explaining itself, and refusing to be wrong.