Customer intelligence for B2B software

Turn every customer signal into a commercial advantage.

Pace helps B2B software companies prevent churn, scale customer success, increase product adoption, grow existing accounts, and build features with measurable revenue impact.

Explore the solutions
Complete customer contextCommercially useful intelligenceGoverned action
Commercial command center
Today's priority

Where can customer intelligence change a commercial outcome now?

Retention
Northstar CloudRisk increased · $240K ARR
Act now
Expansion
Atlas WorksNew team need · High confidence
Qualify
Product
Bulk approval workflow18 accounts · $1.26M influenced
Review

Illustrative product interface

Prevent churnSee customer risk early enough to change the outcome.
Scale successIncrease customer coverage without matching headcount growth.
Increase adoptionGuide every account toward the value it purchased.
Grow accountsFind expansion motions grounded in customer value.
Build for revenueConnect product priorities to customer and commercial impact.

Solutions

Five commercially important outcomes.

Start with the customer problem that carries the strongest commercial value. Every solution shares the same customer context and can expand as your operating model matures.

How it works

From fragmented signals to a decision and action.

Pace turns customer intelligence into an operating loop. The same evidence that explains a risk can also reveal an opportunity, inform a product decision, or trigger the right customer workflow.

ProductCRMSupportCallsContracts
Living customer intelligenceEvidence · Context · Rules · Outcomes
DecideBriefApproveActMeasure
01

Connect

Bring product, CRM, support, conversation, contract, and commercial signals into one customer context.

02

Understand

Resolve accounts, structure unstructured evidence, and maintain a living view of the customer.

03

Decide

Explain risks and opportunities, quantify impact, and recommend where attention matters most.

04

Act

Coordinate approved workflows across teams, agents, and the systems where work already happens.

05

Learn

Connect actions to adoption, revenue, capacity, and customer outcomes to improve every decision.

The platform

A trusted intelligence layer for people and agents.

Pace is designed around the complete commercial process. It connects the evidence, the recommendation, the human decision, the system action, and the final outcome.

01

Customer graph

A shared model of accounts, people, products, outcomes, needs, commitments, signals, and commercial events.

02

Signal intelligence

Continuous detection of meaningful changes across behavior, relationship, service, and commercial context.

03

Evidence linked reasoning

Every recommendation stays connected to the source evidence, confidence, and relevant business rules.

04

Governed action

Automations and agents use approved tools, human decision points, permissions, and complete audit history.

05

Outcome learning

Retention, expansion, adoption, capacity, and product results improve future models and playbooks.

Custom enterprise capability
04Human decisions and governed actionApproval · Override · Escalation · Audit
03Models, agents, tools, and evaluationOrchestration · Rules · Memory · Measurement
02Customer and business contextEntities · Relationships · States · Knowledge
01Enterprise data and systemsWarehouses · Applications · Documents · Events

Services

Deploy custom enterprise AI around the way your operation actually works.

For complex processes, Pace combines platform capabilities with solution design, custom business models, proprietary logic, enterprise integration, human decision design, governance, evaluation, and implementation support.

Explore Custom AI Deployment

Start with the commercial problem

Bring one customer decision your current systems cannot make well.

We will map the relevant data, evidence, decisions, actions, controls, and measurable value. Then we will identify whether the right package is a platform solution, implementation support, or a custom enterprise capability.

Example questions to bring

Which renewals can we still influence?

Where is expansion already forming?

Which product problem carries the greatest revenue impact?

Which customer work should an agent operate?