Brexy Agent Studio is where autonomous AI agents and institutional deal teams co-work. Build coordinated swarms of financial AI agents that operate like real analysts and associates across investment banking, private equity, and asset management, powered by any LLM.
Brexy briefs you, orchestrates multi-agent workflows, and requires human approval before anything ships.
The transition from general-purpose chatbots to dedicated AI agent teams is transforming deal execution. Deploy specialized financial AI agents engineered for M&A, deal sourcing, ECM, DCM, presentations, financial spreadsheets, investment committee memos, due diligence, portfolio monitoring, investor relations, and fund reporting across public markets and private markets.
Leading institutions are scaling the agentic enterprise, but foundation models alone lack the coordination infrastructure required for capital markets workflows. Deal execution demands multi-agent orchestration at scale, inter-agent collaboration, live work reports, auditable citations, and zero lock-in to any single AI provider.
A no-code agent studio built to configure and deploy armies of specialized digital workers. Your financial AI agents collaborate inside your project channels, automate complex repeatable analysis, share files, and continue executing financial tasks long after you close your computer.
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Assign complex financial analysis directly inside a project channel. The lead agent breaks the mandate into structured tasks, assigns sub-tasks to specialized teammates, logs live execution steps, and delivers a fully sourced, reviewable output ready for partner sign-off.
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Single-prompt chatbots fail when faced with extensive data rooms, complex 3-statement models, and rigorous provenance requirements. Brexy coordinates specialized agent swarms, allowing distinct roles to handle discovery, financial modeling, valuation, and compliance verification simultaneously.
Choose from pre-configured capital markets specialists or define a custom role with tailored skills, API integrations, and internal knowledge access.
Launch an isolated project channel and invite colleagues, individual agents, or complete multi-agent squads.
Issue high-level mandates just as you would brief a junior analyst. The lead agent scopes the question, coordinates tasks, and delegates to specialized agents.
Review an immutable activity stream detailing documents parsed, formulas constructed, and data handoffs between agents.
The final deliverable arrives in your inbox with clickable primary sources and traceable calculation models. Nothing is finalized without explicit human sign-off.
Complete directory of pre-configured AI specialists covering financial research, valuation, capital markets, M&A advisory, private equity, credit underwriting, regulatory compliance, and investor relations.
Try asking: “Map public solar manufacturers in APAC and benchmark manufacturing capacity against EBITDA margins.”
Try asking: “Normalize five years of historical 10-K filings, clean non-recurring charges, and flag accounting restatements.”
Try asking: “Build an automated trading comparables table for enterprise cybersecurity software providers.”
Try asking: “Analyze issuance windows and institutional demand indicators for a $300M healthcare follow-on offering.”
Try asking: “Where would a new 7-year senior unsecured BBB bond price relative to the benchmark curve today?”
Try asking: “Screen acquisition targets in specialty chemicals and calculate pro forma accretion/dilution metrics.”
Try asking: “Screen 40 pipeline targets against our buyout thesis and construct an indicative LBO returns matrix.”
Try asking: “Model shareholder redemption sensitivities and assess PIPE sizing for an upcoming De-SPAC vote.”
Try asking: “Check maintenance covenant headroom across the leveraged loan portfolio and flag facilities below 15%.”
Try asking: “Run automated KYC, sanctions, and adverse media screenings across four prospective deal counterparties.”
Try asking: “Draft anticipated tough analyst questions and defensive talking points for next week's earnings call.”
Try asking: “Aggregate last week's pipeline updates across all sector desks into an executive committee pack.”
Every financial AI agent operates strictly within the security boundaries, data entitlements, and human-in-the-loop authorization models configured for its role, in our isolated cloud or within your private perimeter.
Brexy is the dedicated Agentic AI Studio for capital markets, designed specifically for investment banking, private equity, and asset management. It empowers deal teams to configure and orchestrate teams of specialized financial AI agents that collaborate on financial modeling, valuation, market research, and due diligence across any LLM.
Brexy features a model-agnostic architecture compatible with any LLM. You can select from hosted enterprise foundation models, deploy local open-weights within your private cloud, or bring your own enterprise API subscriptions (OpenAI, Anthropic, Google). Models can be hot-swapped dynamically based on analytical requirements.
Brexy agents automate end-to-end investment banking and private equity workflows, including M&A target screening, three-statement financial modeling, DCF valuations, trading comps benchmarking, precedent transaction analysis, LBO modeling, SEC filings monitoring, CIM drafting, and VDR due diligence reviews.
A conventional AI chatbot relies on a single unverified model pass that frequently hallucinates when handling complex financial calculations. Brexy deploys AI agent teams that divide complex financial tasks among dedicated digital workers (such as a financial statement analyst, a valuation researcher, and a compliance verification agent) who validate each other's calculations before human sign-off.
Yes. Brexy’s autonomous agents run asynchronously in an enterprise cloud or within your private infrastructure. You can assign an extensive data-room diligence sweep or comps benchmarking run at night, and the review-ready deliverables with verified source citations will wait in your inbox the following morning.
Brexy maintains bank-grade data security with strict tenant isolation, preventing Material Non-Public Information (MNPI) from cross-pollinating across transactions, desks, or users. User data and transaction files are never used to train third-party foundation models, and all platform infrastructure meets SOC 2 Type I and ISO 27001 standards.
You can start using Brexy for free with a 1-month trial that includes platform credits to test and deploy agents across your transaction workflows. Enterprise plans with customized VPC deployments, private integrations, and dedicated agent engineering are available for institutional teams.
Explore how coordinated AI agent swarms connect M&A workstreams, automate VDR due diligence, structure complex valuation models, and accelerate deal closing while keeping senior bankers in complete control.
How institutional investment banks replace manual financial statement spreading, comps formatting, and pitch preparation with sovereign multi-agent swarms featuring zero hallucinations.
Single-bot AI solutions break under live deal conditions. See how specialized multi-agent architectures manage transaction execution end to end with institutional precision.
You don't need to rebuild your firm's entire operating architecture overnight. Start with one complex transaction mandate. Your Brexy financial AI agent team will scope the problem, coordinate across specialists, source every calculation, and deliver review-ready financial analysis directly to your queue.
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