GPU utilization is dropping at three accounts. A champion's gone quiet. A competitor just started a POC at your biggest renewal. CS Pulse catches it the moment it happens — not eight weeks later at the QBR.
Built for CS & RevOps teams running renewal-critical accounts at AI chip companies, server OEMs, and data centers.
Learn feeds back into Watch — the loop compounds every cycle.
A 20-account portfolio → one account's cited arc and journey canvas → $23.0M to protect, $29.0M to grow → the approval queue. One walkthrough, captioned step by step.
assets/videos/01-hero-overview.mp4CS Pulse recognizes the pattern while there's still time to change the ending.
Health score: 78, "healthy." But the champion's gone quiet, a QBR got skipped, and a competitor is running a POC. A dashboard that only reads the number misses all of it.
A new customer lands at $1.2M for a single rack. Adoption velocity across the rollout tells you exactly when they're ready to expand — before they've even budgeted for it.
A cooling failure takes a top account offline. The old playbook: a war room, finger-pointing, and a six-week scramble. CS Pulse has a faster one.
The behavioural layer flagged Cerebrix AI in October 2025; the KPI score only crossed at-risk 31 days later. The dated quotes behind the gap, the crisis_recovery arc, and $8.4M protected.
assets/videos/02-silent-churn-detection.mp4Not a dashboard you check once a quarter. A closed loop that watches, detects, acts, achieves the outcome, proves it worked — and learns from it before the next cycle.
38 KPIs monitored continuously — chosen because they actually predict expansion and churn, not because they're easy to track.
A utilization drop plus a quiet champion plus a skipped QBR isn't three yellow flags — it's a pattern CS Pulse has seen before.
Your CSM's top actions for the day arrive ranked by dollar impact, with clear ownership — not buried in a report.
Renewal signed. Expansion closed. Crisis contained. The playbook doesn't end at "action taken" — it ends when the account is actually better off.
Every intervention keeps what triggered it, what was done, and what it protected or grew — ready for the board.
Every outcome — retained, expanded, or lost — retrains the model. Reinforcement learning recalibrates thresholds and playbook rankings against what actually worked, not what looked reasonable on paper. Then it feeds straight back into Watch.
No generic "engage the customer" advice. Every playbook fires on a specific threshold and hands your CSM a named next step.
Trigger: 5+ SLA breaches/month
Trigger: health below 70, renewal inside 90 days
Trigger: health above 80, usage above 80% of license
A real approval on the same account: $8.4M proposed → approved with a named owner → sent → delivered. Then the two cycles it has already closed with a measured outcome.
assets/videos/03-playbook-trigger.mp4CS Pulse adapts its health model to your vertical, then recalibrates monthly from your own outcomes.
GPU workload adoption drives expansion.
Deployment speed determines stickiness.
Capacity trajectory predicts growth.
Consumption patterns reveal intent.
Workload performance signals expansion timing.
Partner channel health is revenue health.
Right now, partners run your accounts from their own spreadsheet, and you find out what happened after it's already happened. CS Pulse puts you both on the same page — no new tool for anyone to learn.
Full data isolation, a complete audit trail, and validated data for every customer, on every plan — not a security tier you have to ask for.
Every customer runs on an independent database schema — not a row-level filter hoping nothing leaks through. Real separation, not a setting.
Every API call, upload, and configuration change is logged with who did it and when — nothing happens off the books.
Files are schema-validated and isolated by customer the moment they arrive. No cross-customer access, ever.
Out-of-range numbers are surfaced for review — never silently folded into a health score you're about to act on.
Inactivity detection and automatic expiry on every authenticated session. No dangling logins, no exceptions.
CSMs see their accounts. Managers see the portfolio. Partners see only their own slice.
What we're seeing across AI chip companies, server OEMs, and data centers — written for CS and RevOps, not for a whitepaper shelf.
A 78 reads "healthy" right up until the day it isn't. Why single-number scores miss the accounts most likely to walk — and what to watch instead.
AI Infrastructure MetricsFor AI chip companies and data centers, utilization curves say more about renewal risk than any support ticket ever will. Here's how to read them.
Growth & ExpansionCustomers rarely announce they're ready to grow. The adoption pattern usually tells you first — if you're tracking the right signal at the right time.
Bring your data, or use ours. Account health scoring and revenue intelligence live in two weeks — no rip-and-replace, no commitment.
A short muted loop down one account's journey canvas — trailing KPI health in blue, leading behaviour in amber, two recoveries in fifteen months. No narration needed.
assets/videos/04-cta-teaser.mp4