Propensity, churn, fraud, eligibility, NBA, generative AI and your own models — scored in milliseconds, explainable end to end.
Predictive or generative, classical ML or LLM — Appice scores them all on the same decision, in milliseconds.
A real preview of what each model returns — the score, the reason codes, the recommended action.
Predicts the probability of a customer taking an action — purchase, conversion, click, response. Calibrated, monitored, retrained on the live feedback loop.
Survival-based churn models with time-to-event predictions and reason codes. Triggers retention journeys 30–60 days before the customer leaves.
Transaction fraud, SIM swap, account takeover and behaviour anomaly — ensemble of supervised and unsupervised models, auditable reason codes per decision.
Real-time eligibility scoring fuses bureau, exposure, KYC vintage and policy rules. Pre-approved loan offers, limit changes, cross-sell eligibility — fired the instant a signal qualifies.
Multi-objective ranking across every eligible offer for every customer moment — propensity × value × cost × compliance, evaluated under 30 ms.
Subject lines, body copy, multilingual templates and personalised content — generated in seconds with tone and regulatory rules applied per locale.
Chat and voice agents with policy guardrails — handle customer queries, KYC updates, claim filing, balance lookups, no hallucinations, no PII leakage.
Bring your own models from Snowflake, Vertex AI, AWS Bedrock, Azure OpenAI or any REST endpoint — deploy alongside Appice's library, same scoring pipeline, same audit trail.
Every model running in Appice is built for regulated environments — auditable, governed, scored inside your perimeter.
Every score ships with reason codes, feature attributions and confidence. Regulators see the “why”, not just the number.
Scoring latency under 10 ms end-to-end. No nightly batch, no queue. Models fire on the signal, not the schedule.
RBI, SAMA, MAS, GDPR and DPDP guardrails enforced before the model fires — consent, residency, audit trail per decision.
Bring your models from Snowflake, Vertex, Bedrock, OpenAI or any REST endpoint — deploy beside Appice’s 50+ pre-built models, same pipeline, same audit.
Pre-built models hit production fast. Custom and BYOM follow the same pipeline.
Identify the decisions to model: pre-approved loans, churn flags, NBA, fraud. Choose pre-built families.
Pre-built models tune on your historical data. BYOM models register via REST. Reason codes emit from day one.
Every score in production, every reason code logged. Drift monitoring and retraining schedules live.
Propensity, churn, fraud, eligibility, NBA and generative AI — running inside the bank’s perimeter, every score audited with reason codes. Same models live at Tier-1 lenders across the GCC and South-East Asia.
Appice ships with 50+ pre-built models and integrates with the providers your data-science team already uses.
Yes. Register any REST endpoint, Snowflake-native model, Vertex / Bedrock deployment or local container. Appice scores it on the same pipeline as the built-in models, with the same reason-code logging.
Every pre-built model has built-in drift monitoring on prediction distribution, input drift and outcome calibration. Retraining schedules are configurable; outcomes from Act and Learn feed back into the loop automatically.
Yes — every decision ships with reason codes, top features and confidence. RBI fair-practice, GDPR right-to-explanation and DPDP requirements are first-class. Audit trail per decision is exportable.
Your choice. Use Azure OpenAI / Bedrock inside your VPC, self-host Llama or Mistral on-premise, or call third-party LLMs with PII masking enforced before egress. On-prem deployments keep all data inside your data centre.
Bring a decision. We’ll show you the model, the reason codes, the explainability and the integration path — on your data, your perimeter, your regulators.
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