Foundation-model labs, applied AI and vertical SaaS, AI infrastructure (compute, data, MLOps), AI-native financial products, and governance — advisory for the businesses at the center of the most significant technology transition of the decade.
AI is not one market. Foundation-model labs operate on compute and talent; applied AI operates on enterprise distribution; infrastructure operates on capital intensity and platform alignment; financial products operate on regulatory perimeter. The firm's coverage extends across the set.
Frontier-model labs, open-weight model developers, specialized-domain model builders, hosted-model service providers.
Industry-vertical applications of generative and predictive AI, copilot and agent platforms, AI-enabled workflow software.
Compute infrastructure (data centers, GPU access), data and labeling infrastructure, MLOps and developer platforms, observability.
AI-enabled investment products, AI-driven underwriting platforms, AI-adjacent capital structures. Engaged with regulatory counsel.
AI governance platforms, model evaluation, audit, red-teaming, safety tooling, compliance infrastructure.
AI accelerators, edge inference hardware, advanced packaging for AI silicon — coordinated with the technology vertical.
The compute, data, and talent investment required to operate at the frontier has consolidated the foundation-model layer into a small number of well-capitalized labs. The strategic question for the next tier is whether the right path is independent operation, platform alignment, or vertical specialization.
The buyer set for credible applied-AI businesses includes the foundation-model labs, the established software platforms, the systems integrators, and selectively private capital. The disciplined process — defined buyer outreach, calibrated diligence access — matters more in this environment than the broadest auction.
Data center capacity, GPU access, and supporting infrastructure have absorbed capital at a level the prior decade did not see. The infrastructure business with credible long-term offtake commands a different multiple than the speculative-capacity proposition.
The mirror of AI's capital tailwind is the AI discount applied to businesses whose moat is replicable by an AI-native competitor — BPO, content services, certain technical-services rollups. The restructuring posture in those segments is set out in the firm's perspective on the topic.
CFIUS, the Outbound Investment Security Program, export controls on advanced compute, and the EU AI Act collectively shape what cross-border AI transactions look like. The pre-LOI diligence package on a cross-border AI deal is materially heavier than it was three years ago.
These are archetypes drawn from partners' experience and the firm's coverage discipline. Each describes a typical client situation; specific outcomes vary.
The conversation is the right capital partner — a foundation-model lab, an enterprise software platform, or a sponsor with relevant portfolio. The firm helps frame which path preserves operating control through the next compounding stage.
The buyer set is selective and the structure matters. The mandate is the controlled process — disciplined buyer outreach, IP and model diligence access, and a structure that preserves what the founders built.
The CFIUS analysis, the outbound-investment overlay (for the U.S. investor), and the export-control review on advanced compute access are all gating workstreams. The firm runs the commercial side with named regulatory counsel.