Institutional Knowledge, Encoded

Kalynto is built on a proprietary intelligence system we call the Genome — three interconnected layers encoding institutional lending knowledge that no generic AI model possesses and no workflow tool can replicate.

The Document Genome encodes recognition signals, extraction fields, and cross-document validation rules across dozens of financial document domains. It doesn’t just read a K-1 — it knows that a K-1 from a family LP requires different extraction logic than a K-1 from a real estate partnership, that both must cross-reference against the trust agreement governing the entity, and that the distinction between allocated income and cash distributions is the single most common underwriting error in UHNW credit.

The Borrower Archetype Genome applies 30 base profiles combinatorially. A PE executive going through a divorce with cross-border assets triggers three archetypes simultaneously. Every downstream surface reshapes to the combined profile — the questions the system asks, the fields it extracts, the stress scenarios it models, the credit narrative it writes. This is not templating. It is intelligence that adapts to the borrower actually sitting across the table.

The Lender Intelligence Genome matches deal parameters against lender capabilities and appetite in real time. As the deal evolves through intake and analysis, the matching refines — facility size, collateral composition, borrower profile, and structural complexity all factor into which lending desks see the deal.

These three layers compound with every deal the platform processes. Extraction patterns are validated. Archetype detection refines. Lender appetite signals sharpen. The institutional knowledge encoded in the Genome grows deeper and more precise over time — a compounding advantage that cannot be replicated by starting from scratch, regardless of funding.

Traditional OCR just reads text. Kalynto’s document intelligence understands structure. Our extraction pipeline parses complex UHNW documents — brokerage statements, tax returns, trust and entity docs, credit agreements — as layout-aware elements, then maps them into structured fields with page-level provenance.

Every key figure in a lender dossier links back to a specific page and element, so you can always answer, "where did this number come from?"

Kalynto evaluates each dossier before it ever reaches a lender. A readiness engine looks at document coverage, extraction depth and confidence to produce a 0–100 score with plain-English tiers like "preliminary", "review-ready", and "mandate-ready".

In parallel, a reconciliation engine compares PFS claims to extracted evidence across statements and returns, flagging mismatches early — not in the middle of lender diligence.

The platform fuses deal parameters, collateral profile, income waterfall, entity structure, and extracted evidence into a standardized dossier with readiness scoring and computation provenance. Every metric traces to its source document.

When the advisor is ready to distribute, borrower profiles reach a curated lender slate anonymously. Lenders receive a structured mandate preview — balance sheet, key metrics, document coverage, readiness tier — before the full dossier flows for diligence.

Behind every deal is a full audit trail. Borrower profiles reach a curated lender slate anonymously. Competitive terms surface without noise. Every state transition — draft, submitted, shortlisted, declined — carries immutable timestamps and actor IDs. Identity lives in an encrypted vault until explicitly revealed, and every reveal event is logged.

Manual overrides to extracted data are tracked separately, with "before/after" snapshots, so committees and compliance teams can see exactly what changed, when and by whom.

Kalynto lets lenders define their own appetite and product policies in a structured way — the platform simply runs those rules and generates signals, along with plain-English explainers. A lender might see: "Based on your policy and this profile, this mandate falls into Tier A: strong fit for a portfolio-backed facility within the following band."

Advisors and borrowers see the same explanation, backed by provenance.