Acc‑01 · Healthcare
Interop
8 wk
Acc‑02 · Fintech
Risk Signal
6 wk
Acc‑03 · Salesforce
Agent
4 wk
Acc‑04 · Industry
Asset
10 wk
Risk Signal Accelerator · Fintech

From raw events
to a calibrated risk
score in six weeks.

A pre‑built risk scoring stack, feature store, model registry, scoring API, calibration dashboard, and the PSI monitor that catches drift before your auditors do. Tuned on your data in week one, in production with a real backtest by week six.

Book a pilot scope
Latest: v3.1.0, Feb 2026 License: Per deployment

What you actually
get on day one.

9 modules · git‑cloneable
M.01

→ Feature store

Online + offline feature parity. 200+ pre-built features across velocity, recency, monetary, device, and graph dimensions. PIT-correct.

Feast · Redis · Snowflake
M.02

→ Model registry

Versioned models with reproducible training runs. Model cards auto-generated from each run. SHA-pinned dependencies.

MLflow · Git LFS
M.03

→ Scoring API

REST + gRPC endpoints with idempotency keys, retry-safe semantics, and per-model A/B routing. p99 < 100ms at 1.8M/day.

FastAPI · gRPC · Envoy
M.04

→ Calibration dashboard

Bucket-wise calibration plot, Brier score, expected calibration error. Your risk team owns it. We hand it over week three.

Streamlit · scikit-calibration
M.05

→ PSI / drift monitor

Weekly Population Stability Index per feature + score. KS test against baseline. PagerDuty alert at PSI > 0.25.

Evidently · PagerDuty
M.06

→ Backtest harness

Replay any historical window against any model version. Vintage analysis, lift curves, ROC at custom thresholds.

Polars · DuckDB
M.07

→ Explainability

SHAP per-score explanations served with the score. Aggregate feature importance dashboard for the risk committee.

SHAP · TreeExplainer
M.08

→ Compliance reporter

Model documentation, decision logs, adverse action codes, audit trail. RBI-aligned reporting templates included.

RBI · IFRS 9 · PDF gen
M.09

→ Runbook + SLA

17 named runbooks for model incidents. 99.95% uptime SLA on Hosted tier. Drift escalation paths pre-defined.

Runbook v3.1 · SLA-backed

The scoring pipeline,
flattened out.

5 stages · < 70ms p99

Five stages, two stores, one source of truth.

risk-signal-accelerator v3.1.0
EVENT TX STREAM STAGE 1 Enrich Event ~8ms STAGE 2 Build Features ~22ms STAGE 3 Score (XGBoost) ~14ms · core STAGE 4 Calibrate ~6ms STAGE 5 Decide + Explain ~12ms · SHAP feature store decision log · every score
Stage 1
Enrich Event
Resolve customer, account, device, merchant. Idempotency keyed.
Resolver · MDM
Stage 2
Build Features
200+ canonical features. Online via Redis, PIT-correct via Snowflake.
Feast · Redis
Stage 3
Score
XGBoost / CatBoost ensemble. A/B router for champion-challenger.
XGBoost · ONNX
Stage 4
Calibrate
Isotonic + Platt calibration. Probability → action threshold.
scikit-calibration
Stage 5
Decide + Explain
Decision + SHAP explanation + adverse-action code, in one response.
SHAP · TreeExplainer

The six‑week plan.
Pinned, not promised.

6 weeks · 3 engineers
Week ↓Ship
Week 1
Data audit + baseline.
Two engineers virtual with your risk and data teams. Catalogue available signals, PII boundaries, and ground-truth labelling. Baseline model trained on day five.
Baseline AUC
Week 2
Feature store live.
Online + offline feature parity verified. 200 canonical features hydrated from your data warehouse. PIT-correct backtest harness running.
Feature store
Week 3
First production-class model.
XGBoost ensemble trained on your data. Calibration dashboard handed to your risk team. Model card and reproducible run published.
Champion model
Week 4
Scoring API in shadow.
Live scoring in shadow mode against production traffic. Latency benchmarked. Explainability + adverse-action codes wired in.
Shadow live
Week 5
Backtest + sign-off.
12-month backtest with lift curves, vintage analysis, capture rate at custom thresholds. Risk committee sign-off meeting.
Backtest report
Week 6
Production cutover.
Production cutover at 5% → 100% over three days. PSI monitor on. RBI-aligned compliance pack delivered. 30-day safety net begins.
In production

What our last
three customers said.

Verified · 2025-2026
"
Our previous engine fired on too many good transactions and missed the coordinated mule networks entirely. The Risk Signal Accelerator gave us 94% recall at sub-percent FPR in six weeks, work that took our previous vendor two years.
Head of Fraud, Top-3 Indian Private Bank
1.8M tx/day · live since Jan 2026
Time saved
22months
Recall lift
+18pts
FPR cut
−87%

Risk score
in five weeks?

↳ Direct line · Risk Signal Accelerator

Tell us your use case, your scale, and your regulatory posture. We'll send a pilot scope, architecture sketch, and fixed-fee quote within three business days.

Get in Touch

Questions we
get every week.

Click to expand ↓
Q.01
Will you train on our PII or push it to the cloud?+
No. PII never leaves your perimeter on the Pilot tier. On Hosted, we run inside a customer-owned VPC. All features use hashed identifiers. Raw PII columns are explicitly excluded by the feature catalogue.
Q.02
What use cases does the Accelerator cover?+
Card fraud, account-takeover, mule networks, credit risk (PD), AML transaction monitoring, and merchant onboarding risk. Each ships with a baseline model tuned for the use case. Custom use cases plug into the same pipeline.
Q.03
How do you handle the RBI model-risk circular?+
The compliance reporter generates the documentation the RBI circular asks for: model purpose, methodology, validation, monitoring plan, and material change log. We've passed two RBI inspections on it.
Q.04
Champion-challenger, how does that work?+
The scoring API routes a configurable share of traffic to a challenger model. Outcomes are logged and compared on a recurring statistical-significance test. Promotion is gated by your risk team, never automatic.
Q.05
Can it score in real-time at our scale?+
Yes. The reference architecture sustains 1.8M tx/day at p99 < 100ms. We've stress-tested to 4× that ceiling. Scoring is horizontally scalable on K8s.
Q.06
What happens after we stop paying?+
On Pilot or Enterprise, the source is yours forever. You run it. On Hosted, we ramp down with a 90-day handover. We've never lock-in'd a customer in nine deployments.