Finro Research. Actionable Research. Strategic Insights.

Built from real valuation and financial modeling work with founders, investors, and strategic buyers, Finro research delivers structured datasets, valuation benchmarks, and sector intelligence across modern technology markets.

Finro’s research library aggregates real valuation work across AI, fintech, cybersecurity, proptech, HR tech, and other high-growth sectors. Each dataset is built from ongoing modeling projects, market tracking, and transaction analysis — not theoretical benchmarks.

The goal is simple: give founders, investors, and operators structured visibility into how markets actually price growth, risk, and scalability.

Browse the sectors below to explore valuation multiples, company benchmarks, and downloadable datasets. Each section consolidates Finro’s latest research updates, including database releases, niche analyses, and ongoing market tracking.

AI valuation outcomes vary widely across niches, business models, and maturity levels. Growth expectations, scalability, infrastructure complexity, and capital intensity all influence how investors price AI companies — from LLM vendors and infrastructure platforms to applied AI solutions across cybersecurity, fintech, and vertical SaaS.

This research consolidates valuation benchmarks across HealthTech, Data Intelligence, Infrastructure, Marketing Tech, HR Tech, Fintech, Legal Tech, Search, and Computer Vision. The datasets combine public comps, private funding data, and M&A transactions to provide structured context founders, investors, and acquirers can use when assessing valuation ranges and market positioning.

EdTech valuations vary widely across infrastructure platforms, SaaS providers, and marketplace-driven learning models. Adoption cycles, monetization structure, and enterprise versus consumer exposure all influence how investors price companies across the education technology landscape.

This research consolidates valuation benchmarks across K-12 solutions, corporate training and workforce upskilling, higher education platforms, certification ecosystems, and specialized learning technologies. The datasets combine public market comps, private funding rounds, and M&A activity to provide a structured valuation context for founders, investors, and strategic buyers evaluating EdTech opportunities.

PropTech valuations vary significantly across transaction platforms, operational software, and data-driven infrastructure businesses. Capital intensity, recurring revenue structure, and exposure to real estate cycles influence how investors benchmark companies across this sector.

This research consolidates valuation benchmarks across real estate transaction platforms, construction and development technologies, sustainable PropTech, co-living models, investment platforms, and specialized infrastructure providers. The datasets combine public comparables, private funding data, and M&A transactions to provide structured valuation context for founders, investors, and strategic buyers evaluating PropTech opportunities.

Cybersecurity valuations are shaped by evolving threats, deployment models, and platform positioning across the infrastructure and application layers. Investors often differentiate between category leaders building integrated security ecosystems and point solutions competing on innovation and specialization.

This research aggregates valuation benchmarks across endpoint security, identity and access management (IAM), application security, OT and IoT protection, threat intelligence, data security, and governance and compliance platforms. The datasets bring together public market multiples, private funding benchmarks, and M&A comparables to support valuation analysis across the cybersecurity landscape.

Insurtech companies are valued based on distribution models, underwriting innovation, and the balance between technology enablement and regulated insurance exposure. Platform scalability and carrier partnerships often drive differences in valuation across sub-segments.

This research covers digital carriers, embedded insurance infrastructure, underwriting automation, claims technology, reinsurance solutions, and analytics platforms. The datasets combine private and public market benchmarks alongside M&A activity, offering structured valuation context for investors and founders operating across modern insurance technology markets.

HR Tech valuations reflect recurring revenue models, platform adoption across enterprises, and the increasing role of AI in workforce management. Investors often distinguish between core infrastructure platforms and specialized workflow solutions targeting specific HR functions.

This research consolidates valuation benchmarks across recruiting technology, HRIS platforms, learning and development solutions, workforce scheduling, employee engagement tools, payroll infrastructure, and HR analytics. The datasets provide comparables across private companies, public markets, and strategic acquisitions, supporting data-driven benchmarking across HR technology categories.

Fintech valuations are influenced by transaction volume, regulatory positioning, and infrastructure depth within financial ecosystems. Payment rails, embedded finance platforms, and capital markets tools often command different multiples based on scale and defensibility.

This research aggregates valuation benchmarks across payments, lending, banking platforms, wealth technology, compliance infrastructure, blockchain-adjacent solutions, and enterprise financial software. By combining private funding data, public market multiples, and M&A transactions, the datasets provide a structured valuation context across the broader FinTech landscape.

Biotech valuations are driven by clinical milestones, intellectual property strength, and commercialization timelines, creating wide valuation dispersion across development stages. Investors often price risk differently depending on therapeutic focus, platform scalability, and regulatory pathways.

This research consolidates valuation benchmarks across cell and gene therapy, diagnostics, synthetic biology, bioinformatics, biotech tools, and life sciences infrastructure. The datasets integrate public comparables, private company funding benchmarks, and M&A transactions to support valuation analysis across emerging biotech innovation categories.

API-first companies are valued on adoption velocity, developer ecosystem strength, and the ability to scale usage-based revenue models. Platform stickiness and expansion potential across endpoints often drive valuation differences between infrastructure providers.

This research covers payments and banking APIs, identity and authentication, developer tooling, AI and machine learning interfaces, communications platforms, data enrichment services, and vertical operational APIs. Using EV-to-revenue and EV-to-funding benchmarks across private, public, and acquired companies, the datasets provide consistent comparability across API infrastructure categories.

AdTech valuations depend heavily on position within the advertising stack, access to proprietary data, and exposure to advertising spend cycles. Investors differentiate between infrastructure platforms, performance networks, and analytics providers based on margin structure and market power.

This research aggregates valuation benchmarks across demand- and supply-side platforms, retail media infrastructure, measurement and attribution tools, identity solutions, creative technology, and performance marketing ecosystems. The datasets combine public market benchmarks, private funding data, and M&A transactions to provide structured valuation insight across the advertising technology landscape.