AI FOR REVENUE OPS · GA NOVEMBER 2026

Forecast thequarter in90 seconds,not 9 days.

Cobalt reads your Salesforce, Gong, and Slack — and writes the forecast, deal risks, and rep coaching notes your RevOps lead writes by hand every Friday. Grounded in your own data. Cites every line of evidence. Refuses to guess.

Start free — 14 days
Forecast accuracy
+18pp vs CRM roll-up
Time-to-first forecast
< 8 min
Built by
ex-Gong / Clari engineers
SALESFORCE-NATIVEGONG & CHORUS INGESTSLACK + EMAIL SIGNALSSOC 2 TYPE IIGDPR + HIPAAEU & US RESIDENCYNO TRAINING ON YOUR DATASALESFORCE-NATIVEGONG & CHORUS INGESTSLACK + EMAIL SIGNALSSOC 2 TYPE IIGDPR + HIPAAEU & US RESIDENCYNO TRAINING ON YOUR DATA

Used by RevOps teams at

Northwind
Orbit
Forge
Helios
Vellum
Vantage
Lumen
WHY COBALT

The RevOps analyst your team never managed to hire.

Three workflows it owns end-to-end — plus a fourth your CRO will ask for in week two.

Pipeline review, written for you

Every Monday Cobalt drafts the deal-by-deal commentary your CRO reads on Tuesday. Grounded in last week’s calls, emails, and stage changes.

Forecast that holds up

AI-weighted by call sentiment, exec engagement, and historical close-rates by stage — not rep optimism.

Deal-risk alerts in Slack

When a champion goes dark or a competitor lands on a call, your AE knows in 4 minutes, not the QBR.

Rep coaching notes after every call

Specific, named, actionable. "On the Forge call you skipped pricing twice when the CFO asked." Not "be more discovery-led."

Compensation-grade audit log

Every change Cobalt suggests is logged with the source quotes. RevOps can defend the number in any QBR.

No training on your data

Your CRM, calls and Slack never train a shared model. EU and US data residency, picked at signup, never crossed.

BUILT BY REVOPS, FOR REVOPS

Most AI tools were built for sellers. We built one for the team that has to defend the number.

We ran RevOps at Gong, Clari and Outreach for a combined 19 years. Every "AI" feature we shipped was great in a demo and impossible to defend in a board meeting — because none of them showed their work. Cobalt is the opposite. Every forecast change is a clickable list of the calls, emails and stage moves that caused it. If you can’t defend the number, it doesn’t make it into the dashboard.

— Maya Reyes & Daniel Kovac, founders
WHAT CUSTOMERS SAID
Our forecast accuracy went from ±17% to ±4% in two quarters. The board now asks for the Cobalt number, not the CRM number. That is a sentence I never thought I’d say.
Aaron Choi
VP RevOps, Northwind (380 reps, $612M ARR)
PRICING

Per seat. No platform fee. No "AI credits."

Every tier includes forecast, deal-risk, coaching notes, Salesforce + Gong ingest, SOC 2 and SSO.

Team

$49/seat / mo

For sales orgs up to 25 reps.

  • All AI workflows
  • Salesforce + Gong + Slack
  • SSO + SAML
  • Email support, 4hr response
Start 14-day trial
Most popular

Scale

$79/seat / mo

For sales orgs of 25–300 reps.

  • Everything in Team
  • Custom forecast categories
  • Shared Slack channel
  • Quarterly RevOps review
  • Dedicated CSM
Start 14-day trial

Enterprise

Custom

For 300+ rep orgs with custom data residency or VPC.

  • Single-tenant deployment
  • Custom data residency
  • Audit log + SCIM
  • 99.99% SLA
  • Named account team
Talk to RevOps

For the RevOps lead evaluating this.

How is this different from Clari, Gong Forecast, or BoostUp?

Two things. First, the unit of explanation is the deal, not the cohort — every forecast number is a clickable list of the actual calls, emails and stage moves that caused it. Second, we ship per-rep coaching notes as a first-class workflow, not a hidden tab. That’s where most of the customer ROI lands inside 90 days.

How long does setup take?

For a typical Salesforce + Gong + Slack stack: 12 minutes for connectors, 24 hours for the historical backfill, first usable forecast on day 2. We do this without a Cobalt SE on the call. Larger orgs (300+ reps, multiple CRM instances) get a dedicated 2-week implementation team.

Does Cobalt train on our data?

No — ever. Your CRM, calls and Slack never train a shared model. We use stateless inference against frontier providers under DPAs, with EU and US ingest endpoints. Customer chooses residency at signup; data never leaves the chosen region.

What about hallucinations?

Every claim Cobalt makes is grounded in named source artifacts — the call ID, the email message ID, the CRM field history row. If a claim has no source, it isn’t shown. We publish our retrieval-grounded accuracy numbers in the trust report (94.1% at GA).

What does support look like?

Email support on Team (4hr response, business hours). Shared Slack channel on Scale, average first response 9 minutes. On Enterprise, a named CSM plus the founders’ personal line on Signal. Every founder reads every escalation.

14-day trial, full product, no card

Forecast the quarter on Tuesday, not next Friday.

Connect Salesforce and Gong in 12 minutes. First usable forecast on day 2. If it doesn’t beat your current accuracy by 10 percentage points, the trial just ends — no salesperson calls.

No card. No sales call. No "book a demo" wall.