Your AI banking coworker for research, deals, and scenario analysis
BankingAI ingests credit agreements, equity research, and filings into a hierarchical section graph —
then answers with hybrid retrieval, citation markers, confidence scores, and a hallucination fallback
so analysts can trust what they ship into deals and scenarios.
At scale, document retrieval quality beats a frontier model alone. BankingAI layers ingest, two-stage
retrieval, confidence, constrained generation, citations, and continuous evals so answers stay
auditable for credit, equity, and deal workflows.
1
Ingest + normalize
PDF/DOCX/MD → hierarchical sections with profile-aware summaries, content hashes, and graph edges.
Stage-1 ANN candidates + stage-2 cross-encoder-style rerank so the right section floats to the top.
4
Source confidence
Calibrated confidence on each hit and answer-level scores that gate low-evidence responses.
5
Constrained generation
Schema-guided JSON answers so the model must return structured claims, not free-form drift.
6
Citation-backed responses
Inline [n] markers bound to section IDs, quotes, and the documents your team actually ingested.
7
Hallucination fallback
If support or confidence is weak, BankingAI abstains or rewrites instead of inventing numbers.
8
Continuous evals
Hit@k / MRR / grounding checks on golden banking queries — quality is measurable, not hoped for.
9
Caching + memory
Section KV cache, query-result cache, and chat session memory for faster multi-turn analysis.
10
Observability everywhere
Trace IDs and stage timings from retrieve → rerank → generate so you can debug trust failures.
Outcome for analysts: faster memo Q&A with provenance you can defend in IC — fewer fabricated
covenants, multiples, or DSCR claims.
Built for how you read documents
One ingestion pipeline, three tailored lenses on the same source material.
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Banking Deal Originator
Surface covenants, leverage grids, syndication terms, and closing conditions without
re-reading every amendment. Escrow milestones to the sections that matter at close.
Deal structure & fee economics
Covenant and pricing grid extraction
Timeline + party metadata for syndication
◈
Equity Research Analyst
Map valuation drivers, guidance, and catalysts across filings and models. Hybrid search
finds revenue language even when terminology shifts quarter to quarter.
Revenue, EBITDA, and EPS drivers
Valuation multiples & peer context
Risk and catalyst tagging per section
◆
Banking & Credit Analyst
Track capital ratios, NPL migration, and regulatory exposure in credit agreements and bank
supplements — with KV-cache reuse when documents update incrementally.
CET1, NIM, LCR, and asset quality
Regulatory capital flags
Loan book and provision trends
From upload to on-chain proof
BankingAI combines grounded Graph RAG, analyst workflow UX, scenario quant, and blockchain execution in one stack.
Profile-aware parsing
Hierarchical sections with analyst-tuned summaries and metadata fields.
TurboQuant KV cache
Skip re-inference on unchanged sections; chain prefixes for long documents.
Grounded Graph RAG
Hybrid BM25 + embeddings, ANN candidate search, rerank, citations, and abstain gates.
Section escrows
Anchor Solana devnet contracts to content hashes with milestone schedules.
Everything in one analyst workspace
Designed for investment banking, credit, and equity workflows from thesis ideation through execution.
Scenario Builder
Analyst login, thesis input, macro regime selection, and AI-suggested starter scenarios with assumptions prefilled.
Thesis Research
Run profile-aware market research and attach citations, then transfer the thesis directly into scenario modeling.
Charts in Chat
Request scenario analysis in chat and view DSCR / IRR visuals inline before opening deeper workspaces.
Scenario Workspace
Backtests, peer comps, downside/upside cases, alternatives, and Monte Carlo distributions with sensitivity analysis.
Agent and execution layer
Turn analysis into coordinated actions across counterparties, contracts, and payment gates.
A2A Agent Coordination
Deal originator, counterparty, and executor agents hand off tasks with auditable JSON task payloads.
MCP Connectivity
Expose ingest, search, and contract tools to Cursor and other MCP clients for operator workflows.
x402 Micropayments
Gate paid execution endpoints using x402-compatible payment headers before contract settlement.
Solscan Visibility
Preview escrow PDA and program references for transparent, verifiable on-chain execution context.
Deployment and operating modes
Start with mock mode for fast demos, then scale to hosted LLM and production infrastructure.
Mock-first demos
Run full product walkthroughs without GPU requirements, ideal for pilots and client previews.
vLLM / open-weights
Switch to self-hosted model backends for richer response quality and longer-context analysis.
Fly + GitHub Pages
Serve interactive app/backend on Fly while mirroring marketing pages via GitHub Pages.
Waitlist + onboarding
Capture signups with backend persistence and trigger welcome-email workflows when configured.
See it end to end
Chat + Scenario Builder + quant modeling + A2A + Solana escrow + Solscan proof in one walkthrough.
The latest demo includes the new Scenario Builder experience with thesis research, AI scenario suggestions, and chart-driven modeling.
Get early access
Join the waitlist for hosted workspaces, team profiles, and production Solana mainnet escrows.