Built for high-value service teams

Your next customer may already be in your quote history.

QuoteRevive finds estimates that went quiet, explains which opportunities deserve attention, and prepares personalized follow-ups for your approval.

01 Evidence attached02 Human approved03 Nothing auto-sent
QRQuoteRevive Synthetic demo
REVENUE RECOVERY

Good morning, Jordan.

Last 90 days⌄
OPEN QUOTE VALUE$522K12 active
NEEDS REVIEW7Human approval
Priority queueScore
MCMaya ChenRoof replacement · $28,40082
RHRobert HayesStorm restoration · $41,75076
ETElena TorresCommercial maintenance · $18,60072
DRAFT READY FOR REVIEWGrounded in 3 customer statements

01 — THE LEAK

Your team already paid to earn the opportunity. Silence should not be the final status.

High-value quotes disappear into spreadsheets, inboxes, and CRMs. Follow-up becomes inconsistent exactly when the team gets busy.

QuoteRevive converts that forgotten pipeline into a focused, reviewable recovery queue.

02 — THE WORKFLOW

From stale record to
approved next action.

Every recommendation stays tied to the source conversation.

01
⌁

Agent interprets the workbook

Upload an authorized Excel or CSV file. Columns can be renamed, removed, or added; relevant values remain attached as evidence.

PUBLIC WORKSPACE · FLEXIBLE EXCEL
02
◎

AI interprets the record

AI summarizes objections and drafts the next action while application rules calculate priority and validate evidence.

VISIBLE AGENT RUNS
03
✓

A human controls the action

Review source evidence, edit wording, approve the draft, and verify the eventual business outcome.

NOTHING AUTO-SENT

03 — BUILT FOR TRUST

AI judgment.
Human authority.

A useful agent should make the work easier to verify—not harder to understand.

Inspect the public workspace
01

Evidence before action

Recommendations point back to specific customer statements and recorded facts.

02

Claims stay constrained

Discounts, guarantees, insurance outcomes, and schedule promises are flagged for review.

03

Imported text stays data

Customer records cannot override safety rules, scoring logic, or approval requirements.

04

Outcomes stay honest

Actual, estimated, and simulated revenue are separated throughout the product.

DESIGN PARTNER PROGRAM

Bring five quiet quotes.
Leave with a recovery plan.

We are inviting a small group of roofing and renovation teams to shape a careful 30-day pilot. No automatic customer contact. No invented claims.

QRQuoteRevive

QuoteRevive is being developed by Demir, a high-school entrepreneur and AI project enthusiast.

Open demo

04 — QUESTIONS

Clear answers before a pilot.

QuoteRevive is intentionally narrow about what this public MVP can do.

Where is the AI agent?

Inside the public workspace—no account or invitation is required. It interprets flexible spreadsheet fields, ranks opportunities, validates evidence, and waits for human approval.

Does QuoteRevive contact customers automatically?

No. Every message requires named human approval. Agent v1 hands approved copy to the reviewer’s own email application for final sending.

Are the customers and revenue figures real?

No. Every person, company, conversation, outcome, and revenue figure in the public demonstration is synthetic.

How does the priority score work?

Deterministic rules combine quote value, time since contact, recorded buying signals, evidence confidence, missing context, and review risks. The factors are visible on every opportunity.

Can I upload my customer list?

The public workspace accepts minimized, authorized .xlsx, .xls, and .csv files. The file is parsed in your browser; selected non-empty row fields are sent for analysis, and workflow state is saved only in that browser so it remains after the tab is closed. Do not include unnecessary sensitive information.

Is estimated recoverable value actual revenue?

No. Estimates, simulated results, and verified actual results are kept separate. Actual recovered revenue remains zero until a future customer verifies an outcome.

What stage is the product at?

QuoteRevive is an open public beta with a flexible Excel workflow and a separate synthetic demonstration. Customer value, willingness to pay, and recovery lift still need to be proven through real pilots.