Mastech Digital (MHH) Sidoti Micro-Cap Investor Conference summary

Company transformation and strategic focus

• Undergoing a transformation to position as a leader in the AI-first economy, focusing on scalable, production-ready AI solutions for enterprises.

• Business model structured around two engines: a stable talent engine and a high-margin, high-differentiation data and AI services engine.

• Institutional knowledge from 20+ years in enterprise data environments converted into repeatable assets and proprietary frameworks.

• Framework for AI transformation built on four pillars: data (trust), knowledge (context), orchestration (agents), and impact (value).

• Commercial scaling leverages pre-built domain ontologies and the ADEPT platform for embedding AI agents into existing client systems.

Market trends, growth drivers, and segment performance

• Data and AI segment grew 7.2% sequentially in Q2, with strong bookings of $13–14 million TCV for two consecutive quarters.

• AI adoption is accelerating, with enterprises shifting up to 30% of traditional IT spend toward AI initiatives.

• Talent segment faces near-term headwinds from client insourcing and deliberate exit from low-margin business, expected to continue through 2026.

• Growth office established to drive new customer acquisition, performance marketing, partner ecosystem, and large AI-led deals.

• Large deal focus aims to deliver full-stack solutions from data foundation to AI adoption, compounding growth over time.

Operational initiatives and capital allocation

• EDGE initiative (Efficiencies Driving Growth and Expansion) completed its efficiency phase, reducing SG&A by $2 million in Q1 2026, with savings reinvested into strategic priorities.

• Capital allocation prioritizes organic investment in AI engineering and go-to-market capabilities, with M&A considered only for meaningful acceleration of AI strategy.

• Share repurchase program authorized but not yet executed in 2026; timing will be considered thoughtfully.