Animated hero background illustrating signal flow across interconnected business intelligence use cases.
Use Cases

The future of B2B intelligence, built for your entire team

See how sales, deal, and account teams use the D.A.S. system to act on signals no other platform is built to find.

Sales & Revenue Teams

We find your clients before their list exists

Most B2B sales intelligence tracks intent signals. By the time those signals fire, the buyer already has a vendor in mind. When a company starts showing intent activity on platforms like G2, Bombora, or 6sense, they typically receive somewhere between 5 and 15 outreach emails from competing vendors within the following two to four weeks, all triggered by the same signal. In crowded categories that number can reach 30 or more. Revenue intelligence for sales teams requires a different starting point. Research shows that first contact wins the deal the majority of the time. The companies that will buy in the next 90 days do not look like buyers yet. Each brief is built so that when the buyer starts looking, your name is already there. These are not leads from a shared database. They are leads built from sourced intelligence.

Revenue intelligence for sales teams and outbound sales intelligence address the same structural gap from opposite ends of the pipeline: the absence of sourced, external information at the point where account prioritization, buyer identification (B2B), and client retention risk assessment decisions are actually made. BDR prospect research built on shared intent feeds produces outreach indistinguishable from every other vendor working the same signal. Customer success intelligence that depends on product telemetry cannot see the external conditions driving churn. A retention playbook without external signal input addresses symptoms visible in a dashboard, not causes forming inside the client's organization. B2B buying signals derived from keyword search behavior identify companies already evaluating, not companies approaching a decision.

Buying committee mapping and organizational buying dynamics lose accuracy when built from title-based assumptions rather than sourced intelligence on what each decision-maker is managing. Sales trigger events degrade when every competitor receives the same alert. Competitive risk intelligence, acquisition target screening, and a churn risk early warning system each require external signals collected and weighted before internal metrics shift. Customer retention early warning indicators like champion departures remain invisible to any system reading only internal data.

Revenue & Sales Operations

Your stack tracks what happens in your funnel. This is everything outside it that is about to become your pipeline.

Your CRM, your scoring model, and your sequencers all measure what happens inside your funnel. None of them can see what is happening inside the buyer's organization. This is not relationship intelligence or insider access. It is 350+ vectors of public-source data that identify which companies are under conditions that create a buying decision, before any intent signal exists. Prophacite does not replace your stack. It multiplies it.

Investment & Deal Teams

The CIM shows you the company they are promoting. Prophacite shows you what it actually is.

Disqualifying information rarely announces itself. It sits in governance gaps, financial exposure patterns, and operational dependencies that do not appear in seller-provided materials. Each brief surfaces the things you must address before you sign the LOI.

Where pre-acquisition risk assessment and supplier risk monitoring share a methodology, they serve different buyers at different stages. Search fund due diligence applies the same flag-based external analysis to targets where the only available input is a seller-provided narrative. Acquisition intelligence reports surface findings that seller-provided materials are not structured to contain. Vendor dependency risk, when assessed through the same 350+ vectors, shifts from a qualitative concern on a risk register to a sourced, weighted finding with evidence behind it.

Capital constraints analysis, external business signals, and public data intelligence form the input layer beneath every use case on this page. Target company intelligence built through the D.A.S. system does not depend on management-curated data. It reads what organizations do, not what they publish. Company research before a deal, whether framed as pre-LOI due diligence or a screen for acquisition red flags, addresses the gap between a teaser and the decision to commit. Intent data problems on the sales side compound the same gap: the signal that triggers outreach triggers it for every competitor simultaneously, which is why the intelligence layer must exist before the signal does.

R.I.S.K. — Risk & Retention Teams

Your health score does not know what is happening at the client's office

By the time churn shows up in your dashboard, a competitor is already in the conversation. Client retention risk assessment through external signal monitoring is built to surface champion departures, budget reallocation, and competitive displacement 60 to 120 days before your internal metrics move. Each report functions as a churn risk early warning system, including the signals driving the risk and a retention playbook calibrated to what is actually happening at that account.

Board, Advisory & Intelligence

Truly independent intelligence.

Built from sources with no agenda.

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