AI-native risk infrastructure

Build, test, and operate risk decisions with AI.

Corint combines Corint Decision, a real-time risk decision engine that executes RDL strategies, with Corint Agent, an AI agent for risk analysis, model optimization, rule strategy generation, backtesting, and deployment.

Open-source core today. Managed cloud and team workflows as you scale.

Corint Agent and Corint Decision operating loop

Two products, one operating loop

Separate the AI workbench from the production engine.

Teams can adopt Corint Decision as infrastructure, Corint Agent as the operating layer, or both together as a closed-loop risk platform.

Real-time decision engine

Corint Decision

Deterministic risk execution for production systems.

Define rules, features, rulesets, and pipelines in RDL, then serve millisecond-level decisions through a high-performance Rust engine with audit trails and observability built in.

  • +Unified RDL for features, rules, decisions, and orchestration
  • +HTTP/gRPC APIs for online risk decisions
  • +Hot updates, versioned strategies, and explainable outputs
  • +Rust runtime with optional WASM edge deployment
Explore Decision

AI agent for risk operations

Corint Agent

Analyze risk, improve models, and optimize strategies with AI.

Investigate anomalies, diagnose emerging risk patterns, build or tune risk models, and generate or optimize rule strategies through natural language workflows.

  • +Anomaly and risk analysis across decisions, users, transactions, and features
  • +Modeling assistance for feature discovery, model evaluation, and threshold tuning
  • +Rule and strategy generation in RDL with simulation and backtesting
  • +Optimization workflows that compare strategies before rollout
Meet Agent

Corint Decision

A production engine for real-time risk decisions.

Corint Decision is not a generic rule framework. It is a deployable decision system with a unified RDL, external APIs, feature evaluation, observability, and explainable decisions designed for financial-grade risk workflows.

<10ms

p99 target powered by a Rust decision runtime

RDL

One language for rules, features, and pipelines

High-throughput runtime

Evaluate rules for online events with deterministic latency and production-grade concurrency.

Flexible deployment

Run as open-source infrastructure or consume it as managed Corint Cloud services.

risk_pipeline.rdl.yaml

Unified DSL
rule:
  id: high_velocity
  when:
    all:
      - transaction_count_1h > 10
  score: 75

ruleset:
  id: fraud_detection
  rules: [high_velocity]
  conclusion:
    - when: total_score >= 100
      signal: decline

pipeline:
  id: payment_risk
  steps:
    - step:
        type: ruleset
        ruleset: fraud_detection

Corint Agent

An AI agent for risk analysis, modeling, and strategy work.

Corint Agent helps risk teams investigate anomalies, identify risk drivers, build or tune models, generate rule strategies, and optimize existing policies with backtesting, simulation, approvals, and auditability built into the workflow.

Core workflow

Analyze risk
Improve model
Generate strategy
Validate impact

Analyze anomalies and risk

Explain spikes in reject rate, abnormal transaction clusters, feature drift, risky user segments, and emerging fraud patterns.

Model and optimize models

Assist with feature discovery, model performance diagnosis, threshold tuning, score-band analysis, and model comparison.

Generate rule strategies

Turn risk hypotheses into RDL rules, rulesets, and pipelines that can be reviewed, tested, and deployed.

Optimize existing policies

Find redundant rules, tune thresholds, reduce false positives, and balance approval rate, risk cost, and manual review load.

Backtest and simulate

Replay historical decisions, compare before/after impact, and validate a change before it reaches production traffic.

Explain and report

Produce role-aware explanations, audit-ready reasoning, monitoring summaries, and recurring risk operation reports.

How they work together

Agent creates and validates. Decision executes and explains.

1

Risk team

Describe a question, incident, or strategy goal in natural language.

2

Corint Agent

Analyze anomalies, tune models, generate RDL strategies, and validate impact.

3

Corint Decision

Execute the approved RDL in production with deterministic performance.

4

Feedback loop

Use traces, outcomes, and experiments to improve the next strategy.

Use cases

Built for event-driven, high-stakes risk decisions.

Fintech and lending

Credit approval, limit management, transaction monitoring, identity risk, and default prevention.

Payments and wallets

Card testing, abnormal velocity, account takeover, AML signals, and cross-border payment risk.

E-commerce and marketplaces

Promotion abuse, fake transactions, chargeback risk, seller fraud, and return abuse.

AI and SaaS platforms

API abuse, account sharing, trial abuse, billing fraud, and resource abuse detection.

Open source first

Start with Corint Decision today.

The decision engine is the open-source foundation: deploy it locally, inspect the RDL model, wire it into your systems, and build confidence before adopting managed workflows.

Explore Corint Decision

Managed cloud path

Scale with Corint Cloud.

Managed Decision APIs, Agent workflows, team collaboration, monitoring, SLA guarantees, and integrations for data warehouses, feature stores, and approval systems.

Join Cloud Waitlist

Choose the product path that matches your team.

Adopt Corint Decision as open-source risk infrastructure, evaluate Corint Agent for AI-assisted operations, or use both as a single loop for strategy development and real-time execution.

Start with Decision