Solutions · Sales

Forecast the quarter you will actually close.

Turn CRM activity, call notes, and email engagement into a forecast you can trust and a priority list your reps will love.

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Ask anything about your data…
Revenue signal
+38.4%
Shift detected
Pattern
Repeat buyers spend 3.1x more in week two
Forecast
Demand peaks in 9 days — prepare inventory
Opportunity
Unused segment worth an estimated new revenue line
Agent
Weekly strategy brief sent to leadership
Every deal
scored and explained
Seconds
to pipeline answers
Plain English
ask like you talk
Daily
risk and momentum alerts
The reality

Your forecast is a guess wearing a spreadsheet.

Reps sandbag. Stages drift. Close dates slide one week at a time. Leaders spend Friday afternoons interrogating the CRM instead of coaching. The truth about every deal is in the data, just not anywhere anyone can see it.

  • 01Forecast calls rely on gut feel and rep optimism
  • 02Stalled deals go unnoticed until quarter end
  • 03Reps waste hours on accounts that were never going to buy
  • 04Win and loss patterns are anecdotes, not evidence
Capabilities

Everything Sales teams need, in one intelligence layer

Deal scoring

Every opportunity scored on engagement, stakeholder coverage, and momentum, with reasons attached.

Forecast intelligence

See a data-backed forecast next to the committed one and understand every gap.

Risk detection

Get flagged when a champion goes quiet, a close date slips, or a competitor appears.

Account prioritization

Rank territories by real buying signals so reps start every day on the right accounts.

Win and loss patterns

Learn what winning deals have in common, by segment, size, and source.

Rep copilots

Agents prep meeting briefs, draft follow-ups, and keep CRM fields up to date.

How it feels

From first question to first win in minutes

1

Connect your CRM

Bring in opportunities, activities, emails, and call notes in minutes.

2

Ask about your pipeline

Try 'Which deals over $50k have not had a meeting in two weeks?'

3

Act on the answer

Get the list, the risk drivers, and recommended next steps per deal.

4

Automate the rhythm

Schedule forecast briefs and set agents to watch every deal daily.

Use cases

Built for the decisions that move the needle

01

Weekly forecast call

Walk in with a data-backed view of commit, best case, and the deals most likely to slip.

02

Pipeline generation

Find lookalike accounts showing the same signals as your best customers.

03

Deal reviews

Get an instant brief on stakeholders, activity history, and open risks for any opportunity.

04

Rep coaching

See which behaviors separate top performers so you can coach to them.

Outcomes

What changes when your data starts talking back

Fewer surprises
at quarter end

See slippage weeks earlier, while there is still time to act.

Hours back
for every rep

Less CRM admin, more time selling.

Every deal
inspected

Not just the ones that make it into the review meeting.

Trust

Pipeline data stays protected.

Customer and deal information is secured with granular controls and stays private to your organization. Built to support your compliance programs.

  • Territory and role-based permissions
  • Encryption in transit and at rest
  • Activity history for every answer
  • Your data is never used to serve other customers
FAQ

Questions, answered

Does it work with messy CRM data?

Yes. Data AI is built for real-world data, gaps and all, and tells you where missing fields limit an answer.

Will reps actually use it?

They ask questions in plain language and get useful answers instantly. Adoption tends to take care of itself.

Can it update our CRM?

With your permission, agents can log activities and update fields so records stay current.

Does it replace our forecasting process?

It strengthens it. You get a second, evidence-based view to pressure-test every call.

How quickly will we see value?

Most teams get useful pipeline answers on day one.

Close the quarter with confidence.

Know which deals will land, which will slip, and exactly what to do about both.

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