Quote in hours,
not days.
An AI quoting system built inside your ERP. It reads the RFQ, retrieves your most similar past jobs, drafts the quote with your pricing logic, and routes it to your estimator for approval.
The fastest quote wins. Yours takes days.
In RFQ-driven businesses, response speed moves win rate more than price does. But most mid-market quoting runs on three constraints that don't scale:
The knowledge lives in heads
One or two estimators know how to price your work. When they're buried, on vacation, or gone, quoting stops. Every quote waits in their queue.
The data lives in six systems
Past jobs in the ERP, costs in spreadsheets, drawings in email threads. Finding the last similar job takes longer than pricing it.
The logic lives nowhere
Margin rules, customer-specific terms, material adjustments. It's tribal knowledge — inconsistent, and it walks out the door with people.
The result: the work that wins or loses the deal is gated on the two people who can't be cloned. That's not a tooling gap — it's a systems gap.
Built into your stack, not bolted beside it.
No new portal for your team to ignore. The system runs inside the tools you already use — five steps from RFQ to a quote ready for sign-off.
Reads the RFQ however it arrives
Email, attachments, portals, drawings, spec sheets. The system extracts the structured request automatically.
inbox · portal · PDFFinds your most similar past jobs
Searches your full quote and job history — the wins, the losses, and what they actually cost to deliver.
your ERP + quote historyDrafts with your pricing logic
We encode your real rules: materials, labor rates, margin floors, customer tiers. Codified once, applied consistently.
pricing-rules.tsRoutes to your expert
The estimator sees the draft, the source jobs, and the assumptions. They adjust and approve. Their judgment is the product; the system just stops wasting it on lookup work.
human in the loopUpdates your ERP and CRM
The approved quote lands in your systems of record. Every quote becomes training data for the next one.
ERP · CRMAI alone is not accurate enough to price your work.
And we'll be the first to say so. Every quote is draft-and-approve until the accuracy data earns more. Autonomy is something you choose later — not something we impose.
This isn't a bet anymore.
Published results from AI quoting deployments across manufacturing, logistics, and enterprise quote-to-cash:
The catch: those numbers come from rigid vertical products and Fortune 500 programs. If your pricing logic is proprietary and your data is messy, the off-the-shelf tools don't fit. We build the same capability around your logic, in your systems, at mid-market speed and price.
Ships to production.
Scoped and run like an engineering project — because it is one. Timeline agreed up front.
Map & mine
We shadow your quoting process, interview your estimators, and inventory your historical quote and job data.
Encode the logic
Your pricing rules become code your team can read and change. First retrieval results reviewed with your experts.
Draft side by side
The system drafts real quotes in parallel with your current process. We measure accuracy against your estimators.
Go live, in the loop
Production pilot with full estimator approval. Time-to-quote tracked against the week-1 baseline.
When a CPQ tool fits, buy it. When it doesn't, build.
We'll tell you honestly which side you're on — even when the answer is "buy the tool."
Right when your pricing fits their box
- Catalog or configurator-style products
- Standardized pricing rules
- Clean, centralized product data
- You adapt your process to the tool
- Per-seat subscription, forever
Right when your pricing is your edge
- Proprietary, judgment-heavy pricing logic
- Messy, real-world historical data
- Deep integration with your ERP and CRM
- The tool adapts to your process
- Fixed-price build. You own the code.
No surprises mid-build.
No surprises mid-build. Scoped before we start.
From kickoff to a production pilot your team approves — not quarters.
A time-to-quote target agreed up front, measured against baseline.
Built in your stack, your repos, your security model. The code stays.
The quoting workflow review.
45 minutes with our engineers. We map your RFQ-to-quote process, find where the hours actually go, and show you what an AI-assisted version looks like in your stack.
Free · 45 minutes · you keep the process map either way.