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Quivly vs. Von

Quivly vs Von: post-sales system vs AI RevOps teammate.

Von clears the RevOps backlog — forecasts, win/loss, CRM cleanup. Quivly is where post-sales teams work every day: health, onboarding, renewals, and expansion.

  • Persistent Customer 360, not just answers in a chat thread
  • Health scores with explainable drivers across the installed base
  • Actions Feed and Radar turn signals into drafted next steps

Connects to the same sources — see integrations or book a demo.

Trusted by teams at

Eragon
Uplex
Union AI
Atlas
Brief
Siftly
Mycroft
AgentPress
Eragon
Uplex
Union AI
Atlas
Brief
Siftly
Mycroft
AgentPress

Capability coverage at a glance

Both build a context graph over CRM, warehouse, calls, and email. Von leans analysis and CRM admin; Quivly leans daily post-sales execution.

CapabilityQuivlyVon
Context graph over CRM, warehouse, calls, emailYesYes
Natural-language Q&A over revenue dataYesYes
Churn & risk signalsYesYes
MCP / assistant accessYesYes
Persistent Customer 360 workspaceYesNot a focus
Health scores with explainable driversYesPartial or depends on setup
Onboarding & customer-facing post-sales workflowsYesNot a focus
Salesforce admin cleanup (fields, flows, validation)Not a focusYes
Scheduled forecast packages & board decksPartial or depends on setupYes

What sets Quivly apart from Von?

Short answer: Von is an AI RevOps teammate — a chat-first superagent that learns your business in days and returns analysis, decks, and CRM changes on request. Quivly is a post-sales system of action: a persistent Customer 360, health scores with explainable drivers, onboarding projects, Actions Feed, Ask Quivly, and Radar.

What is the difference between Quivly and Von?

Von, from the team behind Rattle, connects to CRM, call recordings, email, calendars, and warehouses like Snowflake, builds a context graph in a few days, then runs SQL, scoring models, and analysis on request — explicitly not another dashboard. Quivly is a platform post-sales teams operate inside: Customer 360, health scores, onboarding projects, Actions Feed, Ask Quivly, and Radar. Von answers questions and produces assets; Quivly is where the recurring work lives.

What is Von best for?

RevOps teams with a backlog. Von generates forecast packages with risk scores, win/loss analysis clustered from transcripts, pipeline reviews and board-ready decks, and handles Salesforce tech debt — field audits, validation rules, flows, and bulk updates. Multi-model routing and approval before every write are part of the design.

What is Quivly best for?

Post-sales teams that need a durable operating picture of the installed base: health and risk with drivers you can trace, onboarding and implementation tracked as projects, renewals and expansion with drafted next steps, and executive reporting. Quivly is not a Salesforce administration tool.

Where do Quivly and Von overlap?

Both reason over structured and unstructured revenue data, answer in natural language, surface churn and risk signals, and connect through MCP alongside native integrations. The difference is shape: analysis delivered on request versus a system of record for post-sales action.

Can you use Quivly and Von together?

Yes. Von for RevOps analysis, forecasting artifacts, and CRM hygiene; Quivly as the post-sales system where health, onboarding, renewals, and expansion are run day to day. They read from the same sources, so the two do not fight over ownership of the data.

Trusted by teams from startups to enterprise post-sales teams.

Before Quivly, our team spent over half their time on manual data-gathering and spreadsheet wrangling. We saw immediate ROI: within our first two weeks.

Now months in, our CSMs are managing up to 60% more ARR in their books of business compared to before—effectively saving us from needing additional headcount as we scale.

Robyn Lee

Robyn Lee

Director of Customer Experience · Mycroft

"We look at Quivly notifications every day. Quivly has become a core part of our customer intelligence stack."
Shalabh

Shalabh

Head of Customer Solutions Engineering · Union AI

"Churn risk starts on day one. Quivly shows us what's happening in product usage, adoption, and value moments — there's immense value in that."
Chalam PVS

Chalam PVS

Co-founder, CEO · Siftly

"At Upflex, we have lots of different business models. The way Quivly centralizes all those disparate data points to predict revenue growth is amazing."
Ginger Dhaliwal

Ginger Dhaliwal

Cofounder · Upflex

"As founders we can't be in every QBR and every spreadsheet. Quivly is where we see which accounts are actually healthy and where expansion is real—so we spend time on revenue, not on stitching dashboards together."
One Chowdhury

One Chowdhury

Co-founder · Octolane AI

Why choose Quivly for post-sales?

Customer graph

A system of record, not a chat thread

CRM, billing, product usage, Slack, transcripts, and support stay connected in one graph your team returns to — so context does not disappear when the conversation ends.

At-risk · by P(churn)

Signals re-ranked every hour

Live
AccountHP(↓)

Railway

Rescue4 signals
48
24%

Vercel

Medium2 signals
66
11%

Supabase

Low1 signal
71
4%

Resend

Stable0 signals
82
0.3%
Recent alerts

Vercel: Health 84 → 66 in 2 wks

Slack #customer-success · email digest

Railway: Score crossed below 50

P(churn) 24% · paged CSM

Actions Feed

Agents that draft the next step

Signals become recommended plays with drafts to review and send, so insight turns into follow-through without someone opening a new request.

Expansion playbooks

Start when expansion signals match

2 live
Account · PlaybookStatusStep

Supabase

Expansion QBR + pricing bands

Gmail · SFDC
Running3 / 4

Vercel

New seats: approval loop

Slack · Cal
Running2 / 3

Railway

API tier — upgrade nudge

In-app · email
Queued0 / 2
Plays log

Slack: #expansion — Supabase QBR sent for review

Automated

Vercel: 12 seats — finance approval draft

Needs approval

In-app: Railway “upgrade API tier” nudge

Automated

Ask Quivly

Answers over the full customer record

Ask about risk, renewals, or what changed and get answers grounded in connected systems — one surface of the platform, not the whole product.

Portfolio command center

Heatmap · renewals · team load

Live

Portfolio health heatmap

Segments × regions · warmer tone = more attention needed

NA
EMEA
UK
APAC
LATAM
GC
JP
ROW
Enterprise
Mid-mkt
SMB
Velocity
Lower risk
Higher risk

Renewal risk · ARR at stake

Next 90 days$2.1M

prob.-weighted

91–180 days$890K
181+ days$340K

CSM workload & capacity

A. Kim42/48 accts
J. Park38/45 accts
M. Chen51/50 accts

Radar

External signals in the same view

Market and account context sits beside health and usage, so risk and opportunity show up before a quarterly review.

Expansion signals

Ranked for your book · last 30d

Live
Account · signalTypeAction

Supabase

Seats +18 · API calls +42% vs LM

High

+$240K ARR

Vercel

New workspace · 3 envs in 14d

New

Uplift

Railway

Adoption: deploys 2.1× L90

High

+$95K

Resend

Steady usage, cross-sell fit

Med

QBR

Watchlist

Vercel+Supabase: shared expansion cluster

CS + AE · #expansion

Railway crossed usage tier threshold

In-app nudge + Slack

FAQs

Is Von a customer success platform?

No. Von is positioned as an AI RevOps teammate rather than a CSP. It surfaces churn signals from calls, email, and usage, but it does not run CS motions like onboarding projects or QBR workflows.

Does Quivly do CRM admin and forecasting?

Quivly reads from CRM and reports on retention and expansion, but field audits, validation rules, and flow cleanup are Von’s territory. If Salesforce tech debt is the main problem, Von is the better fit.

Can Quivly and Von run side by side?

Yes. Both connect to CRM, warehouse, calls, and email. Teams commonly use Von for analysis and CRM hygiene while Quivly runs the post-sales operating picture.

Is Quivly just a chatbot over my data?

No. Ask Quivly is one surface. The platform also includes Customer 360, health scores with explainable drivers, onboarding projects, the Actions Feed, and Radar.

How long does each take to onboard?

Von reports building its context graph in roughly three to five days. Quivly typically takes weeks: connect sources, validate health and account views on a pilot cohort, then expand to the full book.

Want a post-sales system, not another request queue?

See how Quivly turns connected customer data into health, renewals, and drafted next steps.