The Intelligence Layer
for Structured Finance

From a plain-language investment question, Graam writes and executes deterministic code across your data, APIs, and proprietary models to structure deals, project cashflows, price bonds, and deliver audit-ready intelligence.

By continuing, you agree Graam may contact you about your request.

DataAPIsPricing librariesFinancial modelsGraamDeal structuresCashflow projectionsAudit-ready analysis
Add context nqm-tape.xlsx · 853 loans
Ask anything…
Deep Analysis All sources

Most AI assistants generate text. Graam generates deterministic financial analysis.

Every question becomes executable code — connected to your data, run through real pricing and cashflow engines, and auditable line by line. Structure, price, and stress a deal in an afternoon, with numbers you can defend to your investment committee.

Data Intelligence

Connect Every Source of Truth

Graam combines document intelligence with deterministic financial analysis — ingesting both structured and unstructured information from across your organization.

data intelligence
Loan tapes
Prospectuses
Rating agency reports
Servicing & trustee reports
VDRs
Historical performance
Internal research

IC Memo

Collateral · Risks · Proposed structure

Ask across your sources

>Reconcile the loan tape against the offering documents.
>Search our internal research repository for similar transactions.
>Produce an IC memo summarizing the collateral, risks, and proposed structure.
>Identify inconsistencies between servicing reports and trustee reports.

How Graam Works

Built for Deterministic Finance

Graam doesn't rely on fixed workflows. Instead, it writes deterministic code to answer each question using financial engines, customer APIs, Python libraries, SQL databases, and proprietary models.

Unlike a traditional chatbot, Graam executes financial work — not just conversations.

Cashflow and pricing math is deterministic and reproducible. Model-driven forecasts stay fully traceable — you can see every assumption behind every number.

deal = structure(pool, classes=["A","B","XS"])
cf   = run_cashflows(deal, cpr=10, cdr=0.10,
                     severity=25)
price = solve_yield(deal["XS"], target=0.15)
Investment Question
Writes Code
Execution Environment
Financial EnginesCustomer APIsPython LibrariesSQLQuantLibBloombergInternal Models
Deterministic Financial Results

Your Infrastructure, Not Ours

Works With the Systems You Already Trust

Graam doesn't require you to migrate your infrastructure. Instead, it learns to use it.

Internal REST APIsOpenAPI specificationsPython librariesQuantLibBloomberg APIsSQL databasesSnowflakeProprietary pricing enginesInternal forecasting modelsCustomer SDKs

Upload your API or library documentation. Graam automatically writes the code needed to use your existing systems — reusing your analytics rather than reimplementing them.

No pluginsNo custom integrationsNo rebuilt analytics

Enterprise Security

Keep Your Data Inside Your Walls

The strongest security model is one where proprietary information never leaves your environment. Graam can be deployed entirely within your infrastructure and securely access your systems in place.

Controlled execution

  • Human-in-the-loop code review
  • Sandboxed execution
  • Version-pinned engines
  • Full audit trail

Benefits

  • No data migration
  • No vendor lock-in
  • Customer-controlled infrastructure
  • Auditable execution
  • Deterministic results

Book a demo

Or email [email protected]