
Broker Dealer Solutions & Advisory
Mergers & Acquisitions
Business Advisory
Phoenix helps broker-dealer investment banking teams sharpen the financial logic behind a mandate so valuation, bidder strategy, and deal structure reinforce one another. We bring more rigor to the way transactions are framed, modeled, and negotiated—so teams can defend valuation, anticipate buyer behavior, and move through the process with greater precision.
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Shape the valuation narrative using DCF analysis, trading comps, precedent transactions, LBO buyer cases, synergy scenarios, and accretion-dilution logic rather than relying on one headline multiple.
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Pressure-test the buyer universe by separating strategic bidders, financial sponsors, carve-out buyers, recapitalization capital, and cross-border acquirers based on what each can realistically pay and finance.
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Refine the transaction path around sell-side auctions, targeted bilateral discussions, buy-side searches, fairness support, capital structure alternatives, and timing-to-signing considerations.
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Help banking teams and management get ahead of issues that influence pricing and certainty, including earnings quality, customer concentration, covenant pressure, technology integration, regulatory touchpoints, and working-capital sensitivity.
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Strengthen decision support for boards and deal teams with clearer valuation ranges, structure comparisons, downside cases, and negotiation tradeoffs.
AltsCentralAI Solutions
A modern M&A process should not depend on analysts rebuilding models every time a number changes. AltsCentralAI brings agent-based intelligence into the valuation and execution cycle so DCF, LBO, merger, and scenario models become living deal instruments rather than static spreadsheets. The platform is designed to help bankers move faster from raw diligence inputs to valuation insight, while still keeping human judgment at the center.
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Deploy DCF agents that ingest forecasts, QofE findings, debt schedules, capex plans, and market assumptions to refresh valuation ranges, WACC cases, terminal values, and sensitivity tables automatically.
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Use LBO agents to test sponsor returns under different leverage structures, rollover assumptions, debt pricing, hold periods, exit multiples, and operational improvement cases—revealing which bidders can stretch and which cannot.
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Run ML-based bidder intelligence to interpret buyer behavior across Q&A patterns, model requests, meeting activity, and diligence momentum, helping teams focus attention where probability of conversion is highest.
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Use automation bots to pull data from CIMs, data rooms, financial statements, customer files, debt documents, and management presentations into valuation workbooks, buyer trackers, and committee materials without constant re-keying.
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Apply quantum-ready scenario analysis selectively to the hardest deal questions—such as bidder sequencing, structure optimization, financing combinations, and earn-out calibration—when traditional model grids become too rigid.
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Add blockchain-backed model provenance where it matters, giving final valuation outputs, fairness materials, and approval packages a tamper-evident record of version history and sign-off lineage.
Technology Execution & Delivery
Phoenix builds the model architecture behind the mandate, not just the narrative around it. That means creating a controlled environment where bankers, analysts, legal, compliance, and management can work from synchronized assumptions, refreshed data, and traceable model versions throughout the deal cycle. The result is a faster modeling workflow, fewer avoidable errors, and tighter coordination from launch through signing.
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Create a cloud-based valuation studio where DCF, LBO, merger, accretion-dilution, and scenario models can be updated from shared data sources instead of copied across disconnected files.
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Wire deal data directly from virtual data rooms, CRM systems, financial statements, diligence logs, debt documents, market feeds, and internal model libraries into the transaction workflow.
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Set up agent-assisted model pipelines that can rebuild assumptions, refresh cases, compare bidder structures, and prepare banker-ready outputs while preserving review control and analyst oversight.
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Configure role-specific review paths for analysts, associates, VPs, MDs, fairness reviewers, legal, and compliance so model changes, approvals, and redlines move in an orderly way.
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Provide Phoenix execution support across valuation model buildout, buyer analytics, diligence structuring, fairness support materials, scenario engine design, and deal-process coordination.
