CapitalBridge vs Cardo AI
Cardo AI is AI-native: machine-learning inference, predictive analytics, document extraction for private debt and securitisation. CapitalBridge is deterministic: every covenant status comes from an explicit, auditable formula, with a borrower portal and a tamper-evident audit trail. The difference matters most where compliance has to be reproducible.
Inference vs determinism
Covenant compliance is a regulator-facing function. The question is not "is AI good?" but "should the compliance calculation itself be produced by a model, or by an explicit rule?"
Model infers + predicts
Covenants extracted from documents by ML. Deterioration predicted by trained models. Portfolio patterns surfaced by analytics. Powerful for foresight and for processing unstructured inputs at scale. The trade-off: when a credit committee or regulator asks "why is this covenant flagged?", the answer is partly a model output, which is harder to fully reproduce and explain line-by-line.
Explicit rule calculates
Every covenant value comes from a defined formula. Threshold + operator + headroom buffer are configured, not learned. Status (Compliant / At Risk / Breached) is reproducible from the inputs. When the committee or auditor asks "why is this flagged?", the answer is the exact formula + the source submission + the threshold change log, all in the SHA-256 chained audit trail. Explainable end-to-end.
CapitalBridge does use AI, but in adjacent lower-risk layers: schema detection during Excel ingestion, column-mapping confidence scores, document classification. The covenant compliance calculation itself stays deterministic on purpose.
At a glance
| Dimension | Cardo AI | CapitalBridge |
|---|---|---|
| Core approach | AI-native: ML inference + predictive analytics | Deterministic: explicit auditable rule engine |
| Best for | Data-science-forward credit teams, securitisation, predictive portfolio analytics | DFIs + mid-market private credit needing reproducible compliance + borrower workflow |
| Covenant calculation | Model-assisted / inferred | Explicit formula (reproducible, explainable) |
| Document extraction (AI) | Strong (core strength) | Adjacent layer only (Excel schema detect + mapping confidence) |
| Predictive deterioration analytics | Yes (ML-driven) | Trend tracking (historical, not predictive) |
| Borrower self-service portal | No (analyst-facing) | Yes (borrower-facing, multi-language) |
| Audit trail | Standard | SHA-256 chained ledger (tamper-evident) |
| Regulator / committee explainability | Partly model-output | Full formula + source + threshold log |
| DFI reporting types out of the box | General-purpose | 27 pre-configured (AFS, QMA, ESAP, SEMR, PAR30) |
| Multi-currency (frontier markets) | Major currencies | 156 currencies, frontier-market native |
| Implementation | Varies (data integration heavy) | 2-4 weeks |
| Production proof | Securitisation + private debt managers | 7 funds, 191+ counterparties, 23 countries |
Choose Cardo AI when
- You want predictive analytics + ML-driven portfolio foresight
- Securitisation / structured credit is a core workflow
- You have a data-science team to operate + validate models
- AI document extraction at scale is a primary need
Choose CapitalBridge when
- Compliance must be reproducible + explainable to a regulator or committee
- You operate in DFI / emerging-market / mid-market private credit
- Borrowers need a self-service portal to submit + track compliance
- You want a tamper-evident audit trail + 2-4 week go-live + department budget
"AI is excellent for foresight and for reading documents. It is the wrong default for the compliance calculation itself, where a regulator needs to reproduce the exact number. Use AI to decide what to look at; use deterministic rules to produce the record of record."
AI for foresight, deterministic for the record
The two are not mutually exclusive. A sophisticated credit operation can run Cardo AI for predictive analytics + AI document intake, and CapitalBridge for the deterministic ongoing compliance layer (covenant calculation, borrower reporting, tamper-evident audit trail). The AI layer flags what deserves attention; the deterministic layer produces the auditable record a credit committee and regulator can trust. Different jobs, complementary.
See how it works with your portfolio structure
Book a 30-minute demo. We configure it with your actual portfolios, categories, and counterparties so you see exactly how CapitalBridge fits. No generic product tour. You talk to the team that built it.
"The gap between a $200K enterprise platform and a shared spreadsheet should not be this wide. We built the thing that belongs in that gap."