AKF assesses technology companies for private equity firms, venture investors, and strategic acquirers. We know what breaks at scale in each industry, because we’ve built, run, and diligenced those systems.
Every industry puts different pressure on technology. A payments platform lives or dies on transaction integrity. A healthcare platform must protect patient data while integrating with dozens of systems it doesn’t control. A SaaS company has to prove its architecture can carry enterprise customers before the next raise.
We don’t learn your industry on your deal. Our partners are former CTOs and engineering leaders, and our diligence team has seen the same failure patterns repeat across deals in the sectors below. That means sharper questions in the management session, faster reads on what’s normal versus what’s a red flag, and remediation estimates grounded in what fixes actually cost.
Five segments: vertical SaaS, horizontal B2B, infrastructure and security, data and AI, marketplaces.
Transaction integrity, auditability, and the dependencies that constrain growth.
Explore Financial Services and Fintech →Sensitive data, interoperability, and evidence behind compliance claims.
Explore Healthcare and Life Sciences Technology →How much of the business is software, and how much is people doing manual work?
Explore Tech-Enabled Services →Technology priorities vary by industry. A retailer needs systems that can handle demand peaks. An education platform must support users and integrations across institutions. We connect those requirements to architecture, team capability, operating practices, and the investment needed to support growth.
Retail technology must support the customer journey across channels, especially when demand peaks. We assess commerce platforms and the systems connecting orders, payments, inventory, and fulfillment, then help teams address constraints that affect customer experience and operating performance.
Content and subscription businesses need platforms that deliver reliably, adapt to changing audiences, and support their revenue models. We evaluate the architecture and engineering organization behind content delivery, customer access, and monetization.
Learning and workforce platforms serve users across institutions and employers, often with different access, reporting, and integration needs. We assess whether the platform and team can support that complexity as customers, products, and usage grow.
Transportation and logistics businesses rely on timely, accurate information to coordinate shipments, assets, and service partners. We assess the platforms, integrations, and operating practices supporting those workflows, including dependencies that affect visibility, reliability, and the ability to grow.
Manufacturers depend on connected systems to coordinate production, inventory, suppliers, and customer commitments. We assess how business applications, data flows, and technology teams support operations and growth, including integration risks and constraints that increase manual effort or limit visibility.
AI capabilities, data products, and marketplace models appear across these sectors. We assess the underlying technology, operating economics, differentiation, and execution requirements in the context of the business. AI claims should be supported by evidence of performance and business value. Data, analytics and AI-native companies → · Explore AI & ML assessment →
Evaluating an investment, preparing for a sale, or improving execution? Tell us about your business, the decision you need to make, and the outcome you need to achieve.
