AI-native revenue infrastructure

Growth at all costs is dead.
NRR is the new battlefield.

The AI-native infrastructure to win it doesn't exist yet. We're building it.

€2,900 · Revenue Risk Report · No payment upfront

See it in action

A Monday morning.
Series B. 42 accounts.

This is what Rivive looks like from the inside — a three-minute story from invisible risk to renewed contract.

// scene 01

Before Rivive, risk was invisible

Alex opens a spreadsheet. Sarah Chen, $72K ARR, renewal in 31 days. Last activity: 47 days ago. No one flagged it. The window is closing.

Risk undetected
// scene 02

Rivive surfaces the signal at 8:47am

Three action cards. One tap confirms the risk. A four-step playbook fires instantly — including a draft email, ready to send.

Signal detected
// scene 03

$72K renewed. 18 days. 1 tap.

Sarah renews at full contract value. No escalation, no panic call. The infrastructure worked — exactly the way it was supposed to.

Revenue defended
Watch the full story → 3 min · no signup required
$1 vs $5
Retaining a customer costs 5× less than acquiring a new one. Most teams still optimise for acquisition.
// cost_of_churn
6–8 wks
Average lead time from first churn signal to cancellation. Most teams have no system to act in that window.
// signal_to_cancel
NRR
The single metric that determines company valuation at every stage. Not ARR. Not logo count. NRR.
// the_only_metric_that_matters
Why this exists

I'm not building this because I spotted a gap. I'm building it because I've lived every side of the failure.

I've been the CS rep watching accounts go quiet with no system to act. The CS leader whose team was flying blind. The founder who discovered churn risk from a cancellation email. Every role, every stage of the failure — I've been in it.

That's why I'm the one building the fix.

🔥

As the CS rep

Managing 60 accounts with a spreadsheet and a gut feeling. No signal layer. No playbook. Just hope and the inbox.

📊

As the CS leader

Watching Gainsight implementations take 6 months, cost $40K, and still not tell us what to actually do.

🏢

As the founder

Reading a cancellation email from an account that had been showing risk signals for two months. Nobody caught it.

🔬

As the builder

Finally in a position to stop patching the symptom and build the infrastructure the CS category has never had.

STAGE 01

Reactive CS

// high_churn_risk

  • CS lives in the inbox, reactive only
  • Churn catches the team off guard
  • Risk invisible until account is leaving
STAGE 02

Structured CS

// stable_but_blind

  • Processes exist, execution inconsistent
  • Data siloed, no unified view
  • Risk invisible until one foot out the door
signals
RIVIVE DEFENSE ENGINE
actions
STAGE 03

Proactive CS

// scalable_retention

  • Acts before accounts go quiet
  • Early warnings weeks before renewal risk
  • CS contributes measurably to NRR
STAGE 04

Revenue-Driving CS

// nrr_110_plus

  • CS is a true revenue center
  • NRR consistently above 110%
  • Org runs independently at scale

Prediction has existed for 15 years.
Churn is still the #1 SaaS problem.

The tools exist. The data exists. The failure is structural — and it keeps repeating because nobody has rebuilt the infrastructure.

📊

The tools don't work for your stage

Gainsight and ChurnZero were built for 20-person CS teams with dedicated ops. At Series A/B, they add complexity, not clarity.

🗄️

CS has a data hoarding problem

Every tool asks for clean CRM data, integrated product analytics, and a CS ops person to maintain it. Most teams have none of that.

🔮

Prediction without action is useless

Health scores are everywhere. Knowing an account is at risk without knowing what to do is just anxiety with a dashboard.

📋

No playbook, no consistency

When a signal is visible, each rep improvises differently. Some act, some freeze. The outcome depends on the rep, not the system.

We don't need clean data.
We need behavioral truth.

The industry bets on data hoarding — build the perfect CRM, integrate everything, wait until you have signal quality. We're betting against it.

What CS tools assume

You have a clean, complete CRM with reliable fields

Your product data is instrumented and piped in

You have bandwidth to maintain the integration layer

A CS ops person to keep health scores calibrated

Reps will log everything into another dashboard

vs
What Rivive is built on

Behavioral signals from external sources — no CRM needed to start

Rep confirmation as structured input — one tap, instant signal

Playbooks that fire from confirmed signals, not from data quality

Recognition over generation — show the rep a signal, ask if it's true

Live in under 5 minutes with just a CSV of your accounts

Rivive watches. You validate.
The playbook fires.

Four steps. Under 5 minutes to go live. The playbooks come from what actually works — not a template library.

01

Add your accounts

Paste a CSV with account name, domain, and renewal date. That's all Rivive needs to start. No API keys. No OAuth flows. No engineer required.

02

Rivive monitors overnight

Rivive watches news, leadership changes, funding events, and company signals for every account domain. By morning, your feed is live.

03

You confirm in seconds

Rivive surfaces what it found and asks if it's relevant. One tap per signal. Your rep confirms or dismisses — no typing, no forms, no admin.

04

The right playbook fires

Based on confirmed signals, Rivive recommends the right structured intervention — built from what actually worked across real CS teams, not templates.

Your rep opens Rivive.
The work is already done.

Every morning, Rivive surfaces what changed across your accounts overnight. Automated detections from external signals sit alongside smart check-in prompts.

Your rep doesn't go looking for problems. Problems come to them — pre-categorised, sourced, and with a clear action attached.

Today's feed 3 new
⚡ Auto-detected · Apollo
Meridian Analytics — Champion departure
Sarah Chen (VP Ops, primary contact) is no longer listed at Meridian. Renewal in 54 days.
💬 Weekly check-in · Rivive
Has anything changed at Vertex Growth this week?
Last signal logged 18 days ago. Renewal in 34 days. High risk score: 42.
📰 Auto-detected · NewsAPI
CloudBase Inc — Layoffs announced
CloudBase announced 15% workforce reduction. Source: TechCrunch. Budget freeze likely.
🚀 Playbook ready · Rivive
Axiom Labs — Executive Sponsor Outreach
3 confirmed signals. Risk: 58. Recommended playbook ready to launch.
Signal check-in
Relationship Signals
Your champion has gone quiet
The person who championed your product internally has stopped responding, attending calls, or engaging with your team.
▲ +20 risk points if confirmed

Has something changed?
Tell us in one tap.

When a rep says "something feels off," Rivive turns that intuition into structured data. One signal at a time. One tap each.

25 signal types across 5 families — relationship, company, financial, engagement, and competitive. Each confirmed signal updates the risk score instantly and unlocks the right playbook.

Rivive isn't a better Gainsight.
It's a rejection of what Gainsight is built on.

Gainsight's customers are not our beachhead. They're our destination. We start where Gainsight can't — with teams who have no ops, no clean data, and no time.

Gainsight / ChurnZero Rivive
Built onClean CRM data + product integrationBehavioral signals + rep confirmation
Time to first value3–6 monthsUnder 5 minutes
RequiresCS ops, integrations, dedicated adminJust a CSV of your accounts
Signal sourceInternal usage data onlyExternal signals + validated rep input
PlaybooksTemplate library you configureBuilt from what actually works
Price$30K+/yearPriced for Series A/B

We don't wait for customers to find us.
We route through ecosystems that already own the relationship.

Series A/B founders trust their investors, their agencies, and their advisors. We go where that trust already lives — and earn the introduction.

// distribution_strategy
01

Investor networks

VCs and angels who own Series A/B portfolios already see the NRR problem across all their companies. We become their first recommendation.

02

CS agencies & consultants

Fractional CS leaders and boutique agencies work with exactly our ICP. They need a tool to give their clients — we become that tool.

03

Operator communities

RevOps, CS, and founder communities where our buyers spend their time. Content and case studies that travel through peer trust.

Short-term: we route through relationships.
Long-term: we become infrastructure.

This isn't a better dashboard. It's a new category — AI-native revenue defense built for the companies that will define the next decade of SaaS.

// now

Route through relationships

We work directly with Series A/B SaaS teams, embedded through investor networks and CS consultants who already own the trust. The Revenue Risk Report is our entry point — a high-value, concrete deliverable that proves the system works before anyone commits to a subscription.

€900K
// to build the engine and prove the model

This round funds the build-out of the Rivive engine and validates the model with paying customers — before we go to market at scale.

50%

Product & engineering

Signal detection engine, playbook system, and the core infrastructure that makes Rivive defensible.

25%

First 20 paying customers

Go-to-market, partnerships, and the Revenue Risk Report pipeline that converts relationships into revenue.

25%

Team & operations

First CS/sales hire and the runway to reach proof-of-model before Series A.

Series A/B SaaS · 1–3 person CS team · €2,900 · No payment upfront

See your account risk
before your next renewal.

Apply for a Revenue Risk Report — we analyse your accounts, identify what's at risk, and tell you exactly what to do about each one.

Apply for the Revenue Risk Report →

We review every application. You only pay if we're a fit.