Lyntic is the autonomous risk engine for private capital that transforms unstructured portfolio data into real-time, audit-ready intelligence to flag covenant breaches and liquidity risks before they happen.

01 — THE PROBLEM

Risk management is reactive, not proactive.

Risk teams rely on junior staff to manually normalize monthly reporting packages and compliance certificates.

Between quarterly valuations, a portfolio company's liquidity can dry up or a covenant can be breached without a General Partner knowing for weeks. When risk models depend on manual data entry from unstructured documents, the "margin of safety" is often just a calculation error away from disappearing.

02 — WHAT WE BUILD

The autonomous risk desk that never sleeps.

We replace the manual labour of risk monitoring with an automated intelligence layer that tracks every covenant, ratio, and volatility signals in real-time. Continuous monitoring surfaces technical defaults, liquidity warnings, and performance drift the moment they appear, not weeks later during quarterly reviews.

Ingest unstructured data

We look beyond the cells. Lyntic digests board decks, management commentary, and raw ERP data to surface the qualitative red flags that traditional, quantitative models consistently miss.

Output audit-ready risk scoring

Every risk rating is backed by a verifiable audit trail of the raw data, which allows senior risk officers to defend their valuations to Limited Partners and regulators instantly.

Automated covenant tracking

Instantly map credit agreements to financial outputs. Our engine flags "near-miss" breaches before they happen by projecting current burn rates against negative covenants and legal constraints.

03 — THE VISION

Portfolios that monitor themselves.

Risk management shouldn't be events that only happen on a quarterly basis. Lyntic provides live, continous streams of intelligence.

We are building the continuous, automated immune system for private capital. With Lyntic, we are scaling the amount of assets firms manage with less headcount. Ensuring that "black swan" events are identified while they are still manageable ripples rather than fund-ending waves.

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