For PE-Backed Software Companies

Deep research. Clear direction. AI products in market.

Beacon is our proprietary research platform that maps your competitive landscape and surfaces AI opportunities before we ever walk into a room.

PRISM is the system that validates, prioritizes, and ships the ones worth building — in weeks, not quarters.

The Research Engine

Beacon

Most AI engagements start with a blank whiteboard. Ours start with Beacon — a deep research platform that builds a complete picture of your company, your competitors, your customers, and where AI can create meaningful advantage before the first meeting.

Beacon — Portfolio Overview
6 companies|4 with AI opportunities
Filter by tag
+ Add Company
Net new opportunities for AI
M

Meridian Analytics

meridian.io

AnalyticsB2B SaaS
Completed
12 ideas
AI opportunities identified
C

Compliance360

compliance360.com

RegTechGRC
Completed
9 ideas
AI opportunities identified
P

PaymentHub

paymenthub.io

PaymentsFinTech
Completed
15 ideas
AI opportunities identified
Processing
F

FieldForce Pro

fieldforcepro.com

Researching
C

ClearView CRM

clearviewcrm.com

Generating Ideas

How It Works

We scan your entire product surface area

Beacon crawls your product, your marketing, your support themes, and your public-facing documentation. It builds a structured model of what you do, who you serve, and how your product works — without needing a single login or walkthrough.

We map the competitive landscape

Every direct competitor, adjacent tool, and emerging disruptor is analyzed for AI capabilities. Beacon identifies where AI is already table stakes in your category, where there are genuine gaps, and where the opportunity to differentiate is real.

We surface opportunity candidates

Based on the research, Beacon generates scored AI opportunity candidates across four categories: customer experience, operational excellence, revenue growth, and product innovation. Each one is grounded in competitive reality — not generic use cases.

We bring this into the room, not a blank whiteboard

By the time we sit down with your team, we already have a point of view. Workshops are focused, fast, and grounded. The conversation starts with "here's what we see" — not "tell us about your business."

Beacon — Meridian Analytics
M

Meridian Analytics

Company Research Report

Completed12 ideas
Business Opportunities & IdeasShowing top 4

Intelligent Document Classification

Ops Excellence
High

Automatically classify, route, and prioritize incoming documents using ML-powered content analysis. Eliminates manual triage across 12+ document types.

Business Impact

Reduces document processing time by 70%. Directly impacts support team costs ($2.4M annually).

Customer Signal

Top 3 customer complaint: slow document turnaround. 43% of churned accounts cited this.

Predictive Churn Scoring

Revenue Growth
High

Surface at-risk accounts 60 days before renewal with behavioral and usage pattern analysis.

Business Impact

Projected to prevent $1.8M in annual churn with early intervention workflows.

Customer Signal

Customer success team currently relies on gut feel. No systematic risk identification.

Smart Field Recommendations

CX
Medium

Auto-suggest next-best-actions for field technicians based on similar historical service patterns.

Business Impact

Reduce average service time by 25%. Improve first-time fix rate from 72% to 88%.

Customer Signal

Field teams report spending 30% of on-site time diagnosing issues that have known solutions.

Automated Compliance Mapping

Risk
High

Map regulatory changes to internal controls automatically. Flag gaps before auditors do.

Business Impact

Compliance mapping currently takes 3 FTEs 6 weeks per quarter. Reducible to 1 FTE, 1 week.

Customer Signal

Regulatory burden is the #1 reason mid-market prospects choose larger competitors.

Click any idea to expand business impact and customer signal

Beacon — Competitive Intelligence
AI Capabilities Across Competitive Set4 competitors analyzed
C
CompetitorA
ShippedHigh threat
Auto-classificationSmart searchPredictive alerts
C
CompetitorB
BetaLow threat
Basic chatbotTemplate suggestions
C
CompetitorC
ShippedHigh threat
Document parsingRisk scoringNLP extraction
N
NewEntrant
GrowingWatch threat
AI-first platformAutomated workflowsReal-time analyticsPredictive modeling

Beacon proposes opportunity candidates, not conclusions. Most ideas don't survive — filtering is intentional.

The System

PRISM

A four-phase system for taking AI ideas from research to revenue. Each phase earns the right to continue — bad ideas are killed early, and only validated opportunities receive real investment.

01

Context & Research

Beacon maps the company before anyone gets in a room. Product surface area, customer landscape, competitive positioning, where AI is table stakes vs. genuinely differentiating. No production access required.

We're not learning your business in real-time. We're pressure-testing a thesis we've already built.

02

Opportunity Discovery

Focused workshops with product, sales, and leadership. We bring Beacon's research into the room and pressure-test it against customer reality. Where are the real pain points? What would customers actually pay more for?

Most ideas don't survive this phase. That's the point. We're filtering for ideas with real customer signal.

03

Prioritization & Validation

Surviving ideas are scored on four dimensions: customer impact, technical feasibility, competitive differentiation, and time to value. The highest-scoring opportunities get a focused proof-of-concept built with real data.

A POC is narrow, time-bound, and designed to answer critical questions. The output is a confident go/no-go decision.

04

Build, Embed & Iterate

Validated solutions are built directly into the existing product. Not as a side tool, not as a separate login. Production-grade, embedded where customers already work, generating revenue from day one.

We ship a focused MVP, measure usage, collect feedback, and iterate. We hand off or keep shipping — whatever makes sense.

PRISM — Prioritization Framework

Intelligent Document Classification

Scoring across 4 dimensions

86/ 100
Customer Impact92

How much does this solve a real, validated customer problem?

Technical Feasibility78

Can this be built with current data and infrastructure?

Competitive Differentiation85

Does this create a moat or match table stakes?

Time to Value88

How fast can this generate measurable ROI?

Proceed to POC
Estimated: 2–3 weeks

Fast-Start Workshop

From uncertainty to a clear plan in days.

2–4 focused sessions over 2–3 days. 90–120 minutes each. Small, senior group. No production access required. Direction in days, not months.

Day 1

Context & Alignment

Review Beacon research and product context. Align on business goals, constraints, and where AI can realistically add value.

Shared problem framing

Day 2

Customer & Workflow Mapping

Walk through key customer workflows and pain points. Validate where friction, risk, or inefficiency exists.

Validated customer problems

Day 3

Prioritization & Direction

Apply the scoring framework. Align on what moves forward, what doesn't, and why.

Prioritized opportunity list

Days 4–5

POC Framing

Define scope, success criteria, and data requirements for targeted proof-of-concept builds.

POC definitions ready

What We Need to Get Started

People

Product owner or product lead
1–2 domain SMEs (product, ops, or GTM)
Optional: sales/support for customer signal

Light, time-bound involvement — typically hours, not days.

Context

Product walkthroughs or demos
Existing customer insights (sales notes, support themes, feedback)
Prior strategy or roadmap context (if available)

No formal documentation required.

Data

Sample or anonymized datasets
Screenshots, reports, or exports
Verbal walkthroughs of key workflows

No production access required to begin.

Proof of Concept

Validate before you invest.

POCs are intentionally narrow, time-bound, and decision-oriented. They answer critical questions before committing to a full build — not a prototype, not a partial feature, not a never-ending research project.

What a POC validates

Signal qualityIs the data sufficient and reliable?
FeasibilityCan this be built within existing product constraints?
Workflow fitDoes this integrate naturally into how customers work?
Directional impactIs there meaningful customer or business value?

Every POC ends with a clear decision

ProceedMove into MVP or production build.
RefineAdjust scope and re-validate.
StopDo not pursue further.

All outcomes are valid and expected. A “stop” is a successful POC if it prevents wasted investment.

What Changes

Before

AI is a line item on a roadmap nobody's confident about. The CTO is evaluating vendors. The board is asking questions. Nothing is in production. No customer is paying for it.

After

AI-native products in production, generating revenue. The company is positioned as an AI leader in its category. Customers are paying more for capabilities that didn't exist six months ago.

3–5 days
To clear direction
2–4 wks
POC to validation
0
Production access needed upfront
100%
Production, not prototypes

Why This Works

Customer-driven

Every idea is grounded in real customer problems. We start with pain looking for a solution.

Fast by design

Direction in days, not months. Built for companies where speed is a competitive advantage.

Disciplined

Validation precedes investment. Most ideas get cut — intentionally. Focus is the product.

Product-native

Solutions are built into existing products. No side tools, no separate logins.

PE-aware

Designed for environments where board-level credibility and execution discipline matter.

Low-risk entry

No production access required to start. Investment scales with confidence.

Ready to find what's worth building?

Start with a conversation. We'll show you what Beacon sees in your market and where PRISM can take your portfolio.

Fast-start workshopsOpportunity prioritizationTargeted POCsMVP & production delivery
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