Auditable AI revenue systems.

You already paid for this pipeline.
It’s dying in your CRM.

TensorRev recovers revenue you already paid for — the dead and cold leads in your CRM — and shows its work on every claim. Sourced or labeled. Weak outputs fail closed. Full audit trail.

Book a teardown review

Runs client-side in your browser · nothing uploaded · no account

teardown.trace
est. $0.0000
Sample dead leads
01 Ingest 02 Enrich 03 Why-Now 04 Eval 05 Compose

Pick a sample and run the teardown. Every claim it makes will be sourced, labeled, or rejected — in front of you.

client-side · nothing uploaded
▷ REPLAY Every run is a replayable trace
$0.0379 live cost meter, per teardown
Runs in your browser — nothing uploaded
customer
logo slot
First case study
pending — slot reserved
The problem

Your dead-lead pile is pipeline you already paid for.

Marketing spent to acquire them. Sales spent to work them. Then they went cold and got buried. The triggers that make them buyable again — a promotion, a raise, a new mandate — happen after you stopped looking.

OPTION A · MANUAL
Safe but it doesn’t scale

A rep can carefully re-research 5 dead leads a day. You have forty thousand. The math never closes.

OPTION B · AI SDR
Scales but it’s reckless

Black-box agents blast hallucinated personalization at scale. Fast, cheap, and quietly burning your brand.

Open the hood

A five-agent pipeline that shows its receipts.

Most AI sales tools are a prompt and a prayer. TensorRev is a pipeline where each stage cites its sources, logs its cost, and can be rejected by the next. The dark panel is the only dark surface on this site — because that’s where the product is.

01
Ingest
Parse & triage the graveyard. Dedupe, classify dead vs cold.
log
02
Enrich
Pull live signals. Cite a source for every claim it keeps.
sourced
03
Why-Now
Find the trigger event that makes this lead buyable today.
log
04
Eval
Fail-closed gate. Reject any claim it cannot source.
fail-closed
05
Compose
Draft the brief and recovery sequence for a human to send.
inference
Glass box vs black box

The difference is whether you can check the work.

TensorRev · glass box
Black-box AI SDR
Every claim
Sourced with a link, or tagged “inference”
Confident prose, zero citations
Weak outputs
Fail closed — rejected claims shown, never sent
Shipped anyway as hallucinated personalization
Where it runs
Your data; the teardown runs in your browser
Your CRM exported to their cloud
Prospect experience
Rep-reviewed brief, a human hits send
Autonomous outreach at spam scale
Audit trail
Full trace — model, cost & source per step
Black box, no receipts
When unsure
Abstains — “no trigger found”
Invents a reason to reach out
What the rep receives

Three artifacts, every claim chip-tagged.

01 · WHY-NOW BRIEF
Why-Now Brief

Why this dead lead is worth a call today — every reason sourced or labeled.

sourced $40M Series B · 12d ago
inference Re-evaluating data stack
02 · CHAMPION KIT
Champion Kit

Who to call, what they now own, and the proof to bring to the first conversation.

sourced Promoted to CTO · 41d ago
rejected Q3 budget claim · removed
03 · SEQUENCE
Recovery Sequence

A 3-touch, evidence-backed re-open the rep can send — human always in the loop.

inference Trigger window ~90d
sourced Role change verified
How to start

Prove it before you buy it.

PILOT $10k
Coverage Pilot

We run the engine on your data and hand back recovered, evidence-backed pipeline.

Fixed-price pilot · 4 weeks · on your own data
Book a review
BUILD Retainer
Build & Operate

We build the recovery system into your stack and run it alongside your team.

Scoped after a successful pilot
Talk to us
Straight answers

The questions a skeptic should ask.

No. The Lead-Graveyard Teardown runs entirely client-side. Your sample is parsed and analyzed in the page — nothing is uploaded, stored, or sent to a server. Close the tab and it’s gone.

The trace, evidence chips, fail-closed gate and cost meter mirror exactly how the production engine behaves. In this public demo the source lookups are stubbed for speed; in a paid pilot every claim is resolved against live data sources.

Public, licensable signal sources — role changes, funding, hiring, tech installs. Every claim in an output links back to where it came from, or is tagged “inference” so a rep knows the difference.

It fails closed. The Eval agent removes any claim it can’t verify and shows you that it did — rejected items appear in red on the trace rather than quietly shipping in the email.

TensorRev optimizes for a rep-ready, auditable brief on leads you already paid for — a human reviews and sends. AI SDRs optimize for volume and send autonomously. We’d rather abstain than spam.

A fixed-price, 4-week engagement on your own data: we run the engine across a defined slice of your dead pipeline and hand back recovered opportunities with full evidence trails. Fixed-price · 4 weeks · on your own data.

See your CRM graveyard, audited.

Run the free teardown on a sample, or book 20 minutes and we’ll walk your team through a live trace on your own data.

Book a teardown review → Calendly · not email tag