From RFQ to a signed offer,
in hours, not weeks.
XFlow is the AI quoting platform for industrial equipment manufacturers. Nine linked modules. One project state. Agents handle the engineering calculations, contract audit, cashflow modelling, and offer generation — so your team ships defensible proposals in a day.
- ✓ Plate heat exchangers · pumps · valves · cooling towers · compressors
- ✓ On-prem or private cloud — your data never leaves your tenant
- ✓ 6-minute walkthrough — no slides, just the actual product
Purpose-built for engineered equipment
On-prem or private cloud
Deploy inside your VPC. Your RFQs, contracts, and pricing never leave your tenant.
Built on frontier AI models
Orchestrated by purpose-built engineering agents leveraging Anthropic, OpenAI, and Google AI. Not a chatbot — domain-specific reasoning at every stage.
Engineered for industrial workflows
BOM, gantt, cashflow, T&Cs deviation sheet — built around the artefacts an industrial proposal actually contains. Not generic CPQ.
The problem
Quoting capital equipment is a multi-week effort spread across disconnected tools.
XFlow converges engineering, costing, scheduling, finance, and legal into one shared project state. Every detail that determines margin is reconciled before the offer reaches the customer.
Minutes, not weeks
Selection, BOM, schedule, cashflow, and T&Cs all derive from one project state. Change a parameter and every downstream document re-derives automatically.
The financial picture, to the cent
Weekly cashflow, bonds, retention, financing cost on negative-liquidity weeks. EBIT and EBT modelled and defensible.
A weekly Gantt, built end to end
Materials lead-times, fabrication, testing, packaging, and delivery combine into a single weekly plan with the critical path identified.
Every clause read, every risk priced
Customer T&Cs reviewed across eight categories. Each deviation scored, each counter-reply pre-drafted, every risk priced into the contract value.
How it works
Nine stages. One pipeline. Zero re-keying.
A real RFQ arrives in your inbox. Here's the path it takes through XFlow before the signed offer goes back out.
Should we bid?
Tender & market intelligence brief. A defensible GO / CONDITIONAL GO / NO-GO call before the team spends a day on the quote.
- Client credit, payment history, and dealings to date — pulled from your database
- Application precedent: similar projects you've executed, win/loss outcomes
- Regional context, capacity check, technical & commercial fit grading
Understand the ask
Multi-file ingest. The scope writes itself from your customer's documents.
- Vision extraction across PDFs, DOCX, PPTX, and images
- Scope table populated with units, fluids, flows, temperatures, capacities
- Missing parameters flagged · clarification email pre-drafted
Engineer it
Process parameters in → engineered model, capacity, footprint out. Not autocomplete — real selection logic.
- Flow, duty, pressure, temperature, materials, design conditions
- Engineered model · capacity · efficiency · footprint — sized & code-compliant
- Equipment cost priced against your catalogue
Cost it
Three cost build-ups fed automatically: materials, value-added, delivery.
- BOM rolled from selection · invoice schedule with payment terms
- Value-added activities · manhours × rate · Fast / Normal / Slow mode
- Incoterms 2020 · container allocation · freight calc · ship week
Time it
The Gantt writes itself. Procurement, fabrication, testing, packaging, delivery — one weekly schedule.
- Critical path auto-identified · planned-vs-actual tracking
- Supplier risk and lead-time alerts surfaced inline
- Change one upstream date — every dependent activity moves
Price it
Ask AI to engineer a defensible price from the full cost build-up, payment terms, bonds, retention, and financing cost.
- Live: Total Contract Value · Gross Margin · EBIT · EBT
- Highest Negative Liquidity · weeks with negative liquidity > $100k
- Stress-test payment terms, advance %, retention, bond cost — see impact instantly
Audit the contract
A 60-page contract read in under four minutes. 18 questions answered with evidence-based reasoning.
- Clause-level grading: critical · watch · OK
- Counter-replies anchored against your house terms
- T&Cs Deviation Sheet exported with the final offer
Sanity check
One screen. Every signal that matters before the offer leaves the building.
- Bid Readiness % · completeness across all nine modules
- Client creditworthiness · risk percentage · weeks with negative liquidity
- Pipeline analytics & forecast quality on the same view
Ship the offer
One click. The offer leaves the building — fully traced.
- Branded, versioned PDF with bonds, guarantees, risk & overhead priced in
- T&Cs Deviation Sheet listing every clause where you depart from terms
- Audit trail — every value links back to the module that produced it
Look closer
Four stages, in product.
The five remaining stages are summarised above. These four are where the AI does its most visible work — strategic intelligence, equipment engineering, the awe-moment pricing, and the contract audit.
Before the quote, the bid/no-bid framework.
An AI agent reads the inbound RFQ, searches your full opportunity history for precedent, profiles the client, and surfaces the competitive landscape. Out comes a seven-section strategic brief — a defensible framework across every relevant metric — for you to make an informed GO, CONDITIONAL GO, or NO-GO call.
- Client credit, payment history, and dealings to date — pulled from your own database
- Application precedent: similar projects you've executed, won/lost outcomes
- Regional context, capacity check, technical and commercial fit grading
Client · Holcim Egypt
Risk Items
Engineering, not autocomplete.
Process parameters in — flow, duty, pressure, temperature, fluid, materials, design conditions. The selection engine sizes the equipment, picks the model from your catalogue, computes performance, and prices the unit. Heat exchangers, pumps, valves, cooling towers, compressors — your selection logic, audited and reproducible.
- Process parameters: flow, duty, pressure, temperature, materials, design conditions
- Engineered model · capacity · efficiency · footprint — sized and code-compliant
- Equipment cost priced against your catalogue
Selected Model · NLA2-565
Ask AI to engineer a price.
This is where XFlow stops looking like software and starts looking like a senior commercial brain. The pricing agent calculates a defensible contract value from the full cost build-up, payment milestones, bonds, retention, and the financing cost on negative-liquidity weeks — a price engineered to hit your target gross margin while staying solvent. Every line item accounted for. Every assumption visible.
- Live: Total Contract Value · Gross Margin · EBIT · EBT
- Highest Negative Liquidity · weeks with negative liquidity > $100k
- Stress-test payment terms, advance %, retention, bond cost — see impact instantly
Financials
Liquidity Risk
A 60-page contract, read in under four minutes.
Drop in the customer's T&Cs. The agents index every clause and answer eighteen standard questions across eight categories — liquidated damages, consequential damages, liability caps, warranty, arbitration, IP, insurance, termination — producing a risk score capped at 15%. Each deviation gets a counter-reply ready for the reply email and a reasoning trail your legal team can audit.
- Clause-level grading: critical · watch · OK
- Counter-replies anchored against your house terms · evidence cited
- T&Cs Deviation Sheet exported with the final offer
Clause Grading
Why XFlow
Not a CRM. Not a CPQ.
A purpose-built proposal engine.
XFlow does what a CRM, a CPQ, and a spreadsheet together cannot: it runs the full engineering, commercial, and contractual stack from RFQ to signed offer — with AI agents doing real domain work at every stage.
Selection, BOM, cashflow — as first-class objects.
The schema understands frames, plates, gaskets, invoice schedules, retention, and bond releases. Not text fields — primitives the AI can reason over.
Agents on every screen, doing real engineering work.
Specialised agents read documents, run engineering calculations, audit contracts, build the cashflow, draft the offer. Not a chatbot bolted on — embedded in every module.
One project state. Nine linked modules.
Change a plate count in selection and the BOM, schedule, cashflow, line items, and offer document all update — together. No re-keying. No drift. One source of truth.
Common questions
What buyers usually ask first.
Where does our data live?
Inside your tenant. XFlow deploys on-prem or in your private cloud (AWS, Azure, GCP). RFQs, contracts, BOMs, and pricing never leave your environment. Multi-tenant isolation by company ID enforces strict boundaries.
Which AI models do you use?
Frontier models from Anthropic, OpenAI, and Google AI — orchestrated by purpose-built engineering agents. The model layer is swappable; we use the best model for each task without locking your deployment to any single provider.
Does it replace our CRM?
Either way works. XFlow integrates cleanly with your existing CRM (Salesforce, HubSpot, Dynamics) — owning the proposal workflow while the CRM owns the customer relationship and pipeline. Or, for teams that want one system end-to-end, XFlow can ship with a complete CRM layer built in — eliminating the redundancy and the integration tax altogether.
How long to set up?
Typical: 2-3 months. Month 1 — your catalogue, materials prices, and standard T&Cs imported. Month 2 — your house template applied to the offer document, and agents tuned to your pricing rules and contract language. Month 3 — your team trained on the workflow, with the first live proposals shipped. Deeper integrations (CRM, ERP) can extend the timeline modestly.
What equipment categories do you support?
Plate heat exchangers, pumps, valves, cooling towers, radiators, compressors, pipes & tubes — and basically any standard industrial equipment. The architecture is product-agnostic; adding a new equipment family is a configuration exercise, not a code rewrite.
What does pricing look like?
Tiered by company size and module set. We'll walk through it on the demo call — every deployment is sized around your team count and quoting volume. No public price list; no surprises in the demo.
Our philosophy
Built by engineers,
for engineers.
XFlow was built by people who have lived inside the quoting process — engineering, costing, scheduling, contract review, and the cashflow modelling that determines whether a deal is worth signing. Every module exists because the quote couldn't go out without it. Every shortcut was earned, not invented.
Watch XFlow run a live RFQ.
A 6-minute walkthrough. No slides — the actual product, with a real RFQ moving through every stage from bid framework to signed offer.