Find companies that need what you sell before they start looking.

By the time buyers compare options, the field is usually set.

92% of B2B buyers purchase from a shortlist they made before they started looking.

Harvard Business Review & Google, 2022
Most B2B sales intelligence tracks intent of companies already searching. But 86% of B2B (business-to-business) buyers already have their shortlist before buying signals appear. We track pressure, the structural forces that create demand before that shortlist exists. Hard to lose a deal when they need what you're selling and you're the first with a solution.

We analyze 350+ external business signals to build target company intelligence reports on companies under pressure to purchase solutions like yours. Delivered in 2-9 business days. Every claim sourced. If we can't surface enough intelligence to deliver a brief worth acting on, we refund proactively.

Key metrics

Structural signals analyzed
350+
Data points per brief
10,000+
Business day delivery
2-9
Analysis for every engagement
Custom built

Prophacite delivers B2B sales intelligence built on public data intelligence rather than intent data, surfacing target company intelligence across financial, competitive, operational, and workforce dimensions before purchase readiness analysis or B2B buying signals register in conventional platforms. Because the methodology relies on external business signals drawn from regulatory filings, employment patterns, vendor dependencies, and capital structure indicators, the resulting briefs identify sales trigger events that intent-tracking tools structurally cannot detect, producing B2B intelligence that functions as sourced analytical output rather than enriched leads lists or firmographic filters.

Each engagement generates custom-built analysis across customer churn prediction, purchase readiness analysis, sales trigger events, and buying trigger windows calibrated to a specific seller's product and deal context. The system does not template by industry. Vectors are weighted dynamically per engagement: R.I.S.K. scores customer health score erosion across existing accounts, Pre-Diligence surfaces vendor due diligence gaps before capital is committed, and Pre-Intent Intelligence maps B2B buying triggers and purchasing authority analysis to surface opportunity before competitors arrive. The same vectors power all three products through the D.A.S. (Demand Activation Scoring) system: the same data, weighted differently depending on whether the question is identifying buying pressure, screening for hidden risk, or detecting churn risk signals beneath stable surface metrics. Where sales trigger signals appear in isolation on other platforms, Prophacite maps how they compound across categories, from capital constraints analysis to vendor dependency risk to regulatory and organizational pressure, within a single sourced brief.

Prophacite is a B2B intelligence firm that delivers sourced analytical briefs for three functions: identifying future buyers before intent signals exist, evaluating targets before capital is committed, and detecting client retention risk before internal metrics reflect it. Prophacite is not a SaaS platform, data provider, or consulting firm.

What You Receive

One brief. Three layers of intelligence.

They inflate numbers to look smart. We deflate ours to stay that way.

In market intelligence, protecting your methodology is how you stay relevant. The D.A.S. system powers every Prophacite product, from outbound sales intelligence and revenue intelligence for sales teams to competitive risk intelligence and churn risk detection, delivering B2B intelligence sourced from public record.

What We Analyze

The D.A.S. Scoring System

20 core categories across 5 domains. Plus 11 deep-analysis categories, 4 proprietary amplifiers, and targeted extensions built per engagement.

Financial

  • F1
    Revenue & Growth Trajectory
    Tracks whether a company's revenue pattern is accelerating, stalling, or contracting.
  • F2
    Cost Structure & Efficiency
    Maps operational spending patterns.
  • F3
    Budget Cycles & Authority
    Identifies fiscal calendar positioning and spending authority.
  • F4
    Capital Structure & Constraints
    Analyzes debt load, financial obligations, and capital availability as inputs to vendor risk assessment, buying pressure scoring, and retention modeling.

Market & Competitive

  • MC5
    Competitive Position & Threats
    Tracks competitive positioning and market share signals that feed customer health score modeling, target identification, and pre-transaction analysis.
  • MC6
    Strategic Initiatives & Pivots
    Identifies detectable strategic shifts.
  • MC7
    Public Positioning Intelligence
    Compares stated company messaging against operational signals, converting public data intelligence into actionable contradictions.
  • MC8
    Go-to-Market Hunger
    Detects expansion urgency and channel investment shifts.

People & Power

  • PP9
    Leadership Changes & Mandates
    Tracks executive transitions.
  • PP10
    Organizational Buying Dynamics
    Maps how purchasing decisions move through a company, informing B2B buyer identification, purchasing authority analysis, and deal-level entry strategy across all products.
  • PP11
    Internal Politics & Power Dynamics
    Surfaces signals of internal dynamics and decision-making structures.
  • PP12
    Blocker Intelligence
    Isolates structural barriers that prevent movement.

Workforce & Culture

  • WC13
    Cultural & Change Readiness
    Detects signals of organizational readiness and resistance to change.
  • WC14
    Workforce Morale
    Analyzes expressed sentiment across public review and employment platforms.
  • WC15
    Vendor Stack & Dependencies
    Maps existing vendor relationships, contract exposure, and vendor dependency risk.
  • WC16
    Compliance & Regulatory Pressure
    Tracks pending regulatory obligations and compliance deadlines.

Disruption & Intelligence

  • DI17
    Crisis & Disruption Detection
    Monitors acute disruption events.
  • DI18
    Timing & Decision Windows
    Identifies when multiple pressure factors are converging into buying trigger windows, retention risk inflection points, or due diligence red flags.
  • DI19
    AI Integration
    Tracks current AI adoption levels and capability gaps.
  • DI20
    AI Maturity Framework
    Evaluates organizational AI adoption signals and readiness indicators.

Most competitive risk intelligence relies on what companies say publicly. The D.A.S. system measures what operational reality demands of them: organizational buying dynamics that reveal who is actually under pressure to act, buying pressure analysis that quantifies how urgent that pressure is, and vendor risk assessment that goes beyond a due diligence checklist, giving deal teams actual pre-LOI (Letter of Intent) due diligence results that surface acquisition red flags before capital is committed. 350+ vectors, one analytical framework, applied differently depending on the question.

This approach addresses common intent data problems by evolving the workflow where sales teams purchase intent data subscriptions, layer on contact enrichment tools, and still enter deals late against established shortlists. Prophacite's third party risk intelligence (Pre-Diligence) and customer success intelligence (R.I.S.K. (Retention Intelligence Stability Key)) products extend the same analytical framework to pre-transaction due diligence and retention monitoring, delivering acquisition intelligence report capability and client retention risk assessment through the same vector architecture. The methodology surfaces buying pressure analysis and external business signals that exist in public record but require cross-referencing at a density and speed that neither data platforms nor enterprise consultants currently deliver.

Every approach has its place. Here's where ours fits.

Data platforms deliver scale. Consulting firms deliver depth. We deliver structural pressure intelligence at a speed and price point that bridges the gap between them.

Data Platforms

Built for volume prospecting

Contact databases, leads lists, intent signals, and firmographic filters across thousands of accounts. Best when you need breadth and already know what you're looking for. Common intent data problems include late-stage signals and crowded shortlists. If you're evaluating whether your current platform is enough, compare approaches to see what structural intelligence adds.

Best for: SDR teams running high-volume outbound

Built for structural intelligence

Sourced B2B sales intelligence, risk screening, and retention analysis briefs that surface what companies aren't saying publicly, using 350+ analytical vectors built on public data intelligence to detect structural contradictions between stated positioning and operational reality. Each brief includes stakeholder mapping, sourced entry strategy, and actionable next steps. Delivered in days, not months.

Best for: Sales leaders, investors, and account teams making high-stakes decisions where B2B buying signals from conventional platforms arrive too late

Enterprise Consultants

Built for enterprise-scale depth

Custom research engagements with senior analyst teams, detailed market studies, and advisory relationships. The Bain and McKinsey tier for vendor due diligence, but typically engaged after LOI, not before. Deep company research before a deal at this level requires six-figure budgets and quarterly timelines. Prophacite's pre-acquisition risk assessment (Pre-Diligence) operates in the gap before formal diligence begins.

Best for: Enterprise teams with $50K+ research budgets and quarterly timelines

Most account intelligence tools summarize what's visible. B2B sales intelligence from Prophacite surfaces the structural contradictions between what a company says publicly and what their operational reality demands, identifying sales trigger signals and delivering a sourced brief telling you exactly how to use them.

Every claim cross-verified against its source. Not just linked to it.
Explore Our Products

See what else Prophacite delivers

Click any brief to expand and explore.

Pre-Diligence screens companies for M&A due diligence red flags before you commit, whether for acquisitions, vendor contracts, or partnerships. Goes deeper than a UCC lien search or standard vendor risk assessment, covering the full operational due diligence checklist completed by analysts rather than a template. Powered by AI augmented due diligence workflows verified by human analysts, delivering a sourced report, not a software dashboard.

Prophacite
click to enlargeSample Brief - Display Only. Full deliverable on product page.
Cloud Solutions, Inc.
Prophacite Intelligence
Pre-Diligence Report
Pre-Transaction Intelligence
SaaS / Enterprise Workflow Automation·$12M Acquisition·Series B·85 Employees
  • 10
    Flags Identified
  • 6
    Material Findings
  • 4
    Require Verification
Material Concerns

Confirmed findings that may affect your decision, negotiating position, or valuation model.

  • Customer Revenue Concentration
    Top 3 accounts = estimated 61% of ARR
    Largest single account: 28-32% of total revenue
    $4.2M credit facility identified (UCC filing)
    Single account loss = probable covenant breach
    Confidence: 78% | 6 sources
  • Leadership Structure Deterioration
    VP Eng + VP Product departed Q3 2025, not backfilled
    CTO LinkedIn shows "open to work" since Jan 2026
    34% engineering team turnover over 6 months
    3 of 5 Glassdoor reviews cite "leadership vacuum"
    Confidence: 85% | 8 sources
  • Active Litigation Cluster
    Patent infringement: $2.8M alleged damages (federal)
    Trade secrets dispute: former engineer at competitor
    Customer SLA breach: state court, partially sealed
    No evidence of litigation reserves
    Confidence: 91% | PACER, USPTO
  • AI Deployment Without Governance
    "AI-powered" features across 4 product lines
    Zero governance or QA roles in 18 months
    AI-to-governance hiring ratio: 11:0
    Support escalation rate up 23% since AI rollout
    Confidence: 76% | Job postings, G2
  • Workforce Hollowing Pattern
    CS team reduced 40%, account volume grew
    NPS declined from 52 to 34 over 12 months
    Response time complaints increased 3x
    Roles shifted from CS to "AI Implementation"
    Confidence: 72% | G2, Glassdoor
  • Vendor Dependency Concentration
    Single cloud provider, no multi-cloud evidence
    Primary data pipeline depends on one API
    No DR or failover documentation found publicly
    4 major service incidents in past 6 months
    Confidence: 68% | Status page, tech stack
Requires Verification

Could not be confirmed from available sources. Request documentation directly.

  • SOC 2 Compliance
    Website claims SOC 2 Type II
    No attestation letter or audit firm found
    Request attestation letter
  • Revenue Growth Claims
    Marketing states "3x growth over 24 months"
    Hiring & infrastructure show no matching expansion
    Request audited financials
  • Patent Assignment Chain
    Core patent lists departing CTO as sole inventor
    Assignment to company not confirmed in USPTO
    Request assignment agreements
  • Enterprise Customer Count
    Claims "200+ enterprise customers"
    Public evidence supports ~40-55 accounts
    Request customer list under NDA
  • Verified Areas
  • Corporate registration and tax standing current
  • No regulatory enforcement actions identified
  • Insurance coverage consistent with stated scale
  • Market positioning matches competitive claims
  • Board composition and founder background verified
  • Data handling consistent with stated commitments
Executive Summary

Taken individually, several findings could be explained. Taken together, they form a pattern worth understanding before formal due diligence.

The revenue concentration and leadership instability are connected. When 61% of ARR sits in three accounts and product engineering leadership has departed, the risk is not just losing a customer — it's that the company may not have the team to retain them. The 34% engineering turnover means the people who built key account relationships are leaving or gone.

The AI governance gap compounds this. Four product lines with zero governance. NPS down 18 points, escalations up 23%, complaints tripled. This is a company replacing headcount with automation and experiencing the early consequences.

The litigation cluster adds financial exposure. The patent matter introduces IP uncertainty. The trade secrets case suggests talent exodus is active defection, not passive attrition.

The target's risk profile is materially different from what its marketing and investor materials present.

Analytical intelligence product. Not investment advice, legal counsel, or a transaction recommendation. Findings based on publicly available information with stated confidence levels.

Sample Brief · Display OnlyCONFIDENTIAL · Page 1 of 14
PRE-DILIGENCE · FULL PRICING & DELIVERABLES

R.I.S.K. detects when your existing clients are under pressure to leave before they start looking. Churn risk detection powered by customer health score analysis and customer churn prediction built on external signals rather than product telemetry. Delivers what churn management software cannot: sourced customer churn analytics drawn from public record that surface client retention health score erosion and customer success intelligence your CRM cannot see.

Prophacite
click to enlargeSample Brief - Display Only. Full deliverable on product page.
Crestline Operations Platform
Prophacite Intelligence
R.I.S.K. Assessment
Retention Intelligence Stability Key
Business Operations SaaS·$95M ARR·$142K/yr·Renewal: Nov 2026
67.8%
R.I.S.K. Score
Retention Intelligence Stability Key
Risk Level
Moderate
Window
12-18 months
At Risk
$142K/yr + $568K LTV
  • Product usage narrowing
    72
  • Pricing misalignment vs market
    66
  • Support sentiment declining
    64
  • Integration partner acquired
    62
  • Financial health stable
    54
Where the Cracks Are Forming

4 structural erosion signals beneath stable surface metrics. No immediate trigger — these compound over 12-18 months.

78% of users access only 2 of 9 modules — usage breadth declined 15% over 18mo, lowering switching cost each quarter
Per-seat cost 22% above category median — three competitors launched usage-based pricing in 8 months
Support satisfaction dropped from 4.2 to 3.4 — "workaround" in 34% of closed tickets (up from 12%)
Most-used integration (DataSync) acquired by RivalOps Q3 2025 — API updates stopped, 41% of daily workflow routes through it
Positive: Revenue growth 18% YoY, margins expanding — they can afford to stay and afford to leave

View full erosion analysis

Retention Allies

David Chen
VP Operations
Power user. Built 23 custom workflows. High personal switching cost. Vocal advocate, but hasn't been asked about satisfaction in 6+ months.

Gradual Drift

Lisa Patel
CFO
Approved last renewal without negotiation. Her team now benchmarks all vendor costs quarterly. Per-seat premium will surface in next review.
James Okafor
Director of IT
Owns integration layer. Aware of DataSync acquisition. Started evaluating backup integrations "just in case."

View contact map

Strengthening Strategy

Strengthen the foundation before cracks become visible.

Lead: Proactive business review now. Show ROI on 7 unused modules — expand footprint before they notice they're overpaying.
Address pricing before CFO's next benchmark — offer usage-based tier to close the 22% gap proactively
Build direct API to replace DataSync dependency — position as "future-proofing" before deprecation
Re-engage David Chen: his 23 workflows are your strongest anchor — quantify his switching cost
Flag silent support pattern to account team — problems absorbed quietly become reasons cited during evaluation

View full playbook

Monitoring Timeline
No immediate trigger. That's what makes this dangerous.
These signals won't appear in health dashboards until erosion is advanced. Proactive engagement now builds goodwill.
Monitor:CFO quarterly vendor benchmark — next Q2 2026
Monitor:DataSync API deprecation from RivalOps
Monitor:Usage breadth — below 70% single-module, switching cost approaches zero
Opportunity:FY27 ops budget sets September. Influence it now or compete for it later.

View timeline

Executive Summary

Crestline Operations Platform presents moderate retention risk (R.I.S.K. Score 67.8/100) driven by four structural signals: narrowing product usage lowering switching costs, emerging pricing misalignment as market shifts to usage-based models, declining support satisfaction absorbed without escalation, and a key integration partner acquired by a competitor. Financial health is strong — they can afford to stay, and afford to leave. No immediate trigger, but signals compound over 12-18 months. Recommended: proactive relationship strengthening. Revenue at risk: $142K/yr, $568K LTV.

Sample Brief · Display OnlyCONFIDENTIAL · Page 1 of 6
R.I.S.K. · FULL PRICING & DELIVERABLES
PRE-INTENT INTELLIGENCE: FULL PRICING & DELIVERABLES

Intelligence you can verify

We guarantee it.

Whether you need purchase readiness analysis to identify B2B buying signals and B2B buying triggers before competitors, target company intelligence reports to verify your vendor due diligence, or customer churn prediction to protect existing revenue, every Prophacite engagement is sourced, verified, and backed by a refund guarantee. This is B2B intelligence built to be checked.

If you show up in good faith, so do we. We want our partners to do well so that we can do well.

The Prophacite Standard

Every Prophacite deliverable is engineered around the client's specific company, their specific target, and their specific deal context. No templates. No recycled analysis. Every engagement is built independently, cross-referenced across hundreds of structural vectors, and passed through a pre-delivery quality gate before it reaches the client.

Pricing

Upfront pricing · One-time fee · No sales calls