RBI FREE-AI survey gap
Only 35% of entities validate for bias, 21% monitor data drift, and a mere 14% have real-time model performance monitoring.
35%
validate for bias
21%
monitor data drift
14%
have real-time model performance monitoring
On-prem Model Risk Management
The India-first On-Prem Model Risk Management (MRM) Layer for NBFCs & Banks.
Secure On-Premise Deployment — Your Data Never Leaves Your Environment
Why now
RBI’s explicit shift toward enterprise-wide MRM is already sequenced. Institutions still running models on spreadsheets and notebooks are out of step with the supervisory clock.
2021
RBI flags algorithmic bias in digital lending and puts model-driven credit decisions under supervisory scrutiny.
2024
Lifecycle governance enters the frame: inventory, validation, and documented ownership across the model estate.
2025
Responsible AI is mandated to be understandable by design — explainability is no longer optional documentation.
2026
Continuous monitoring for fairness and drift becomes an enterprise control, not a one-time model-validation event.
RBI FREE-AI survey gap
Only 35% of entities validate for bias, 21% monitor data drift, and a mere 14% have real-time model performance monitoring.
35%
validate for bias
21%
monitor data drift
14%
have real-time model performance monitoring
The fragmented problem
Most NBFCs and banks assemble MRM from leftover systems. The result is slow validation, weak evidence, and no single view of model behavior.
Broken
Version-fragile inventories that cannot prove lineage at audit time.
Broken
Validation lives in notebooks owned by individuals, not the institution.
Broken
Metrics without model context, ownership, or evidence packs.
Broken
Quarterly, time-consuming reviews that lag production risk by months.
The Darkreef solution
Darkreef replaces the patchwork with one on-prem control plane: inventory, validation, monitoring, explainability, and agent observability.
Always-on surveillance of drift, performance degradation, and fairness shifts in production.
Repeatable, evidence-backed validation workflows that replace ad-hoc scripts and spreadsheets.
Decision-level explanations designed for credit officers, auditors, and the FREE-AI standard.
Trace agent actions, tool use, and outcomes so autonomous systems stay inside policy.
Policies, approvals, and attestations mapped to every model — ready for board and regulator review.
A single source of truth for models, owners, risk tier, and lifecycle status across the bank.
The wedge
A two-step path that proves value without asking for production customer data on day one.
Step 1
A standardized model-behavior benchmark that exposes potential disparities without requiring the lender’s production customer data. Use it to see where your models stand — before you open production pipes.
Step 2
Continuous production monitoring that surfaces drift, performance degradation, fairness changes, and generates audit-ready evidence — with an Unlimited Model Inventory and tiered pricing based on Active Monitored Models.
Pricing
Begin with a free Fair Lending Score. Move to production monitoring when you are ready to generate continuous, audit-ready evidence.
Fair Lending Score
Free
standardized diagnostic
Model Monitoring
Tiered
by active monitored models
Assess your models
Start with the DRT Fair Lending Score — no production customer data required — or schedule a demo of on-prem monitoring.