The AI operating environment for multi-hop financial reasoning

Analysis that moves markets. Beyond rear-view summaries.

FinCatch Studio

The operating environment for financial decisions.

Open the workspace, add a document and ask your first question. No installation required.

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Architectural distinction

FinCatch Studio gives autonomous agents what LLMs lack on their own: an explicit model of real-world market structure and a compounding private institutional memory.

Generic AI tools search and summarize isolated documents, often just recycling secondhand broker commentary and consensus narratives that are already priced into the market. FinCatch Studio is an AI operating environment that unites a temporal Market Graph of global corporate relationships with an agent-managed private Library, enabling forward-looking scenario simulation, adversarial stress testing, and verified financial modeling based on primary facts rather than recycled opinions.

Core architecture

World Map, Private Memory & Ground Truth

The Market Graph wires the world. The Library compounds your private memory. The Corpus guarantees the ground truth.

Most financial AI tools trap agents in flat document search and isolated chat sessions. Studio is built on three synchronized data substrates.

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What the three make possible

Multi-hop and second-order reasoning

Traverse dependency chains across complex corporate webs. When a policy shock or tariff hits a supplier, Studio uses the Market Graph to map the downstream margin squeeze through distributors, competitors, and end markets.

Institutional workflows

Engineered for Institutional Workflows

End-to-end execution across the full investment lifecycle.

Studio handles the operational friction of research, modeling, and presentation so investment professionals can focus on judgment and conviction.

The Morning Brief

Autonomous overnight sweeps across your watchlist. Delivers prioritized catalysts, guidance revisions, and supply-chain developments formatted as a filed report before market open.

Earnings Reaction

From raw transcript to complete institutional memo in minutes. Standardizes reported statements, audits results against prior guidance, flags anomalies, and updates valuation models.

Investment Committee Diligence

From variant view to audit-ready memo. Formulate a variant view, pressure-test assumptions via adversarial debate, build dynamic valuation models, and export branded pitch decks and audit-ready memos.

Portfolio Development Monitoring

Track private holdings against budget, milestones, and peer cohorts. Surface covenant warnings and operating variances automatically across reporting cycles.

Deal Document Intake

Process credit agreements and debt covenants as they arrive via email. Automatically update compliance registers and test current metrics without manual spreadsheet entry.

Macro & Sector Shock Sweeps

Evaluate multi-industry contagion in one unified run. Deploy network swarms and adversarial debates concurrently when policy or macroeconomic shifts occur, evaluating multi-industry contagion in one unified run.

Custom Skill Expansion

Author bespoke analytical skills by conversing with the agent. Author bespoke analytical skills simply by conversing with the agent or importing team playbooks, expanding your firm's institutional memory over time.

Analysis beyond retrieval

Forward-Looking Simulation, Not Recycled Consensus

Others summarize what people already said. Studio simulates what happens next, based on primary facts.

Studio bypasses the consensus echo chamber. By anchoring forward-looking simulations in primary disclosures and tracing contagion across the Market Graph, decision-makers can stress-test coherent macro scenarios, model operational shocks, and uncover genuine variant views before capital is deployed.

01 / 08Scenario simulation

Base, bull, bear and tail cases, each with a falsifier

Stress-test a thesis across base, bull, bear and tail cases, each with explicit falsification conditions and sensitivity bounds.

Enterprise foundation

Institutional Table Stakes, Refined

Enterprise-grade foundation. Zero compromise on security, auditability, or usability.

These core capabilities represent the baseline standard for institutional software. Studio executes them with uncompromising precision.

Native spreadsheets and decks

Work seamlessly in the formats decision-makers rely on. Export native, fully formulaic .xlsx workbooks and editable .pptx presentations featuring live charts.

Verified citation rail

Every quantitative figure is verified against primary text before writing. Click any highlighted token to navigate directly to the exact passage and table cell in the original source document.

Deterministic pre-flight QC

Every deliverable runs through automated control equations, formula recomputation, and citation verification before delivery, ensuring broken logic never ships.

Official source ingestion and direct downloads

Built strictly on primary ground truth. Studio sources filings and disclosures directly from official regulatory systems (SEC EDGAR, exchange disclosures, corporate IR) via automated live downloads or pre-indexed canonical corpus extraction, eliminating third-party vendor lag and transcription errors.

Autonomous scheduling and multi-channel workflows

Operate seamlessly where you work: automated background cron scheduling running independently on FinCatch servers, inbound email document intake, and real-time Telegram interaction.

Native collaboration and file sharing

Share workspace directories, research reports, and private library folders with colleagues across granular permission levels (read-only or read-and-write). Teammates can review shared findings and stage proposed edits via structured change requests without overwriting live work.

Multi-agent orchestration

Coordinate specialist subagents across parallel research, adversarial cross-examination, and complex calculation without context degradation.

Zero-retention privacy

Institutional-grade security safeguards ensure your private data, uploaded documents, and internal memos remain strictly confidential and are never used to train external models.