Investment-grade competitive intelligence. In days, not weeks.

We help private equity and venture capital firms evaluate B2B technology investments with AI-enabled market and competitive analysis that's comprehensive, rigorous, and fully auditable - designed to improve and accelerate traditional due diligence.

Traditional due diligence has blind spots.

You need to validate the commercial thesis before the deal closes. But standard approaches leave gaps:

  • The process often takes weeks rather than days, limiting the ability to pressure-test key findings under deal timelines.

  • Customer and expert interviews are limited in scale and sensitive to question framing.

  • Access to customers and detailed commercial information is often constrained, limiting visibility into real market behavior.

  • AI-generated narratives are increasingly common, but opaque methodology and hallucinations make them difficult to trust and defend in an IC context.

Full-scope commercial due diligence, powered by market-derived evidence.

Newbridge Market Signal Analysis covers the full scope of commercial due diligence - built on structured analysis of thousands of customer, competitor, and market datapoints.

    • Market scope: problems solved, existing solutions, ideal customer profiles, category history including funding and M&A activity

    • Market attractiveness: competitive dynamics assessment to evaluate structural attractiveness

    • Trends: tailwinds, headwinds, emerging solutions, technology shifts - including AI vulnerability and opportunity assessment

    • Addressable market sizing: triangulated using analyst consensus, bottom-up build, and vendor revenue roll-up

    • Market map: who is competing, competitor segments, funding and scale comparisons

    • Feature importance: which features and attributes matter most to customers, from thousands of classified reviews

    • Positioning: how competitors position themselves, where real differentiation exists, commoditization risk

    • Competitive trends: consolidation, AI disruption risk, category convergence, and business confidence indicators

    • Customer sentiment: vendor-level satisfaction, rating trends, satisfaction by feature category

    • Feature importance weighting: which features drive satisfaction and demand

    • Vendor vulnerabilities: strengths and untapped value creation opportunities from customer feedback patterns

    • Pricing signals: pricing issues and opportunities from customer commentary

    • Segmentation: customer segments by needs, size, and persona (data dependent)

    • Churn analysis: switching triggers, destination vendors, retention risk (data dependent)

    • Buyer (ICP) validation: who is buying, decision drivers, alignment with actual market demand

    • Reach: vendor audience reach benchmarked across web traffic, engagement, and social presence

    • GTM differentiation: is messaging differentiated on attributes that matter, with credibility to deliver?

    • Win/loss data points: who is winning and losing in competitive situations, and why (data dependent)

    • Talent sentiment: workforce motivation relative to competitors, from structured employer review analysis

    • Leadership: leadership strength, retention risks

    • Talent risk indicators: turnover, layoffs, leadership churn, business outlook

Our Methodology

Our proprietary analytical engine builds a custom classification taxonomy for each engagement - customized to the target's industry and the specific questions your deal team needs answered. Every datapoint is captured, semantically classified, and validated using multi-model LLM analysis, producing quantified findings with a full audit trail down to the source level.

The result: analysis built on hundreds to thousands of structured datapoints rather than a handful of expert interviews - with every conclusion defensible and every finding drillable to its origin.

What Makes This Different

Comprehensive.

Auditable.

Actionable.

Fast.

Operator perspective.

Hundreds to thousands of datapoints vs. a small number of expert interviews.

Every finding traceable to its source. No unverifiable claims.

Quantifies impact and prioritizes what matters for your thesis.

Results in days, not weeks - aligned to deal timelines.

Led by a principal with 20+ years of strategy and operations experience at McKinsey, Gartner, and multiple B2B technology companies.

Evaluating an opportunity?

We work on deal timelines. If you have an investment you're assessing, let's discuss how we can help - usually within a day of reaching out.

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erik@newbridgeadvisory.net | linkedin.com/in/erikrschulz