M&A target screening

Multi-criteria selection of a pursuit portfolio while target lists and valuation models stay sealed.

Who

A corporate development team or a deal team evaluating 50+ potential targets in a strategic refresh.

The problem

Multi-criteria optimization across target selection — financial fit, strategic alignment, antitrust exposure, integration complexity, valuation, management compatibility. Selecting the right portfolio of pursuits, not just the best single target, is where value is created.

What ArcaQ does

QUBO encoding of the screening problem with constraints on aggregate exposure, sector concentration, and due-diligence resource intensity.

Expected result (published benchmarks)

Published case studies of structured target-portfolio selection show 20–40% reduction in due-diligence cycle count by focusing on the optimal subset earlier.

Why confidentiality matters

Target lists, valuation models, and strategic rationale are extremely sensitive — disclosure to even an unrelated third party can affect market pricing. They never leave attested compute.

Tier fit

Reserve.

The performance ranges below are drawn from published academic and industry benchmarks for the relevant problem class — QAOA portfolio-optimization studies, VQE chemistry benchmarks, and quantum-annealing logistics case studies. They are not ArcaQ measurements. Results vary substantially with problem size, constraint density, and the specific algorithm and hardware used. ArcaQ-specific results will be published after hardware validation.