DATA & ANALYTICS
From real-time stream processing and semantic layers to automated governance and AI model observability, the data ecosystem is undergoing historic re-architecture. We advise founders of high-growth data and analytics companies on high-multiple strategic sales and growth equity recapitalizations.
Senior banking sector experience
Firmwide transaction value
Managing Director led execution
YOUR BANKER
John co-founded Nfluence and leads our Data & Analytics practice. With over 30 years of technology investment banking experience across SG Cowen, Viant Capital, and Headwaters MB, John brings deep strategic buyer access to every mandate.
Managing Director, COO & Co-Founder
WHAT WE DO
We advise data, analytics, and AI infrastructure founders on securing peak market valuations through structured strategic transactions.
Positioning deep technical infrastructure to capture maximum strategic premium in competitive auctions.
Securing growth capital from leading enterprise software venture funds and growth equity sponsors.
Our experience covers ingestion, transformation, storage, semantics, business intelligence, and AI observability.
ETL/ELT data pipelines, real-time streaming, CDC (Change Data Capture), and API data connectors.
Data modeling, transformation engines, semantic layer tools, and metrics repositories.
Cloud BI, embedded analytics, self-service dashboarding, and natural language data querying.
Model monitoring, feature stores, data pipeline observability, and automated anomaly detection.
Automated data cataloging, access control, data lineage tracking, and compliance enforcement.
Vector embeddings, RAG infrastructure, graph database technologies, and search retrieval.
Product analytics, event tracking, customer journey analytics, and behavioral intelligence.
Domain-specific predictive analytics, automated decision intelligence, and industry AI applications.
Where our senior bankers trained before Nfluence.
YOUR OPTIONS
Every banker says they run a competitive process. Here is what actually changes depending on which route you take.
Enough that no single party sets the terms
What the market will actually pay, priced by competition
Four to seven months
Highest, and planned for
Real alternatives, including walking away
Managed deliberately, under NDA and staged disclosure
| Metric | Take the inbound call | Run a limited process | Run a full process |
|---|---|---|---|
| Buyers at the table | One | Two or three | Enough that no single party sets the terms |
| What you learn about the market | One party's view of your value | A partial read | What the market will actually pay, priced by competition |
| Time required | Weeks, mostly reactive | Two to four months | Four to seven months |
| Disruption to the business | Low at first, high if it drags | Moderate | Highest, and planned for |
| Your negotiating position | Whatever they decide to offer | Some leverage on price and terms | Real alternatives, including walking away |
| Confidentiality | Easiest to contain | Manageable | Managed deliberately, under NDA and staged disclosure |
Timeframes are typical ranges for middle-market technology transactions and vary by company, sector, and market conditions.
Acquired by Cvent (Blackstone)
Exclusive financial advisor to the seller
Has been acquired by LEMNIS
Financial advisor on its sale to LEMNIS
Strategic recapitalization
Lead placement agent
Acquired by Visit Group, a portfolio company of PSG
Financial advisor to the seller
Has been acquired by Mode Mobile
Exclusive financial advisor to the seller
Has been acquired by Zucchetti
Exclusive financial advisor to the seller
Growth debt financing from Trinity Capital and Level Equity Financing
Lead placement agent
Has been acquired by Monex Financial Group / Coincheck
Exclusive financial advisor to the seller
Acquired by Aldrich Capital Partners
Exclusive financial advisor to the company
Advised PracticeSuite on acquisition of MicroMD
Exclusive financial advisor to the buyer
Received financing from Heritage Bank of Commerce
Capital raise lead
Carve-out from Henry Schein acquired by PracticeSuite
Exclusive financial advisor to the buyer
Acquired by Level Access, a portfolio company of KKR & JMI Equity
Financial advisor to the seller
Has been acquired by Charlesbank Capital Partners
Exclusive financial advisor to the seller
Has been acquired by Yieldstreet
Exclusive financial advisor to the seller
Follow-on public offering
Financial advisor on follow-on equity offering
Has been acquired by Constellation Software
Exclusive financial advisor to the seller
Advised on strategic acquisition of Rotor Video
Exclusive financial advisor to the buyer
* Select transactions shown. Includes current Nfluence bankers' experience at prior firms. Full track record available upon request.
INSIGHTS
Proprietary research and perspectives on data infrastructure M&A, valuation multiples, and buyer consolidation.
Why cloud giants and BI platforms are bidding aggressively for standardized semantic definitions.
Read more
How strategic acquirers evaluate defensibility and customer stickiness in generative AI tooling.
Read moreThe accelerating consolidation of data catalog, access control, and privacy compliance tools.
Read more
Comprehensive review of public comps, precedent transactions, and valuation multiples.
Read moreTHE MARKET READ
Total enterprise spend on data infrastructure, analytics, and AI platforms in 2026.
Of enterprise technology leaders prioritizing automated data governance and data quality.
Median ARR multiple for high-growth data infrastructure platforms with consumption-based expansion.
Enterprises cannot deploy enterprise AI without clean, governed, and highly accessible data pipelines. As a result, mega-cap cloud providers, data warehouse leaders, and private equity platforms are aggressively acquiring best-of-breed data tools to complete their end-to-end data stacks.
The market is heavily rewarding platforms that solve data latency, lineage, semantic consistency, and automated data observability across complex multi-cloud environments.
For data software companies scaling past $10M ARR, valuation multiples diverge sharply based on net expansion rates (NDR > 120%), gross margins, and customer lock-in within enterprise data engineering teams.
We run disciplined competitive processes that engage both incumbent infrastructure titans and private equity sponsors assembling comprehensive modern data platforms.
Gartner Data & Analytics Market Guide, Modern Data Stack Benchmark Reports, and Nfluence proprietary M&A data.
WHERE WE'LL BE
John Batdorf will be meeting with data infrastructure founders, ecosystem partners, and corporate executives during the Snowflake Summit.
Moscone Center. San Francisco, California
John Batdorf, Managing Director, COO & Co-Founder
A private, confidential discussion to review current valuation multiples across modern data stack categories, identify which strategic acquirers are actively looking for your architecture, and discuss timing considerations.
Get direct insight into how prospective buyers will evaluate your customer retention, consumption vs. subscription dynamics, and technical moat.
Meeting slots during major ecosystem summits fill quickly. Request a discussion in advance.
Not attending the Summit? John is based in San Francisco and available for meetings or virtual discussions. Schedule a call.
FAQ
Buyers value high net expansion (>120%) that comes with consumption models, but they scrutinize revenue volatility. Demonstrating minimum annual commitments, predictable workload baselines, and low gross churn is critical to securing premium software multiples.
For commercial open-source companies (COSS), buyers focus on the conversion rate from community users to paying enterprise customers, proprietary enterprise feature differentiation, and cloud-hosted SaaS revenue trajectory.
Active buyers include cloud hyperscalers, large data platform providers (Snowflake, Databricks), legacy enterprise software platforms (Salesforce, SAP, Oracle), and tech-focused private equity firms pursuing rollup strategies.
The best timing is when you have reached $5M-$20M in ARR with established enterprise reference customers and strong net expansion, before market crowding diminishes differentiation.
Source code is never shared during early diligence. Code audits are conducted by reputable third-party security firms (e.g., Black Duck) under strict non-disclosure terms during final confirmatory diligence only.
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