Platform Features
Everything you need to build, deploy, and optimize next-best-action decisioning — from data ingestion to real-time scoring.
Visual Decision Pipelines
Build your entire NBA pipeline visually. Each request flows through inventory, qualification, contact policy, scoring, and ranking — all configurable without code. 16 composable Decision Flow node types let you model any decisioning logic.
9 ML Scoring Engines
Choose from Scorecard, Bayesian, Logistic Regression, Gradient Boosted Trees, Thompson Bandit, Epsilon-Greedy, Neural Collaborative Filtering, Online Learner, and External Endpoint. Each model type is built in and scores inside the decision pipeline — no external inference hop.
Contact Policies & Suppression
Enforce channel-level frequency caps, global suppression windows, and cooldown periods. Prevent fatigue by limiting how often customers are contacted across email, push, SMS, and in-app channels.
A/B Experiments with Uplift Measurement
Run experiments with holdout groups, measure uplift with z-test statistical rigor, and promote winners automatically. Supports epsilon-greedy exploration, Thompson sampling, and multi-armed bandit strategies.
Real-Time Dashboards
Seven built-in dashboards: Business performance, Operations metrics, Model health, Data quality, Attribution, Executive, and Decision health. Period filters, dimension breakdowns, and decision trace replay give you full visibility.
160+ MCP Tools + AI Assistant
Manage your entire platform from Claude Code, Cursor, or the built-in chat. Create offers, run recommendations, analyze performance, and debug eligibility — all through natural language with 160+ MCP tools.
Connect Any Data Source
Bring data from object stores, streaming platforms, data warehouses, lakehouses, CRMs, relational databases, and REST APIs. Schema-driven ingestion creates real PostgreSQL tables. Enrich customer profiles at decision time.
Shopify Commerce Personalization
Install on a Shopify store and KaireonAI provisions the product catalog, categories, per-customer sync, and a personalized decision flow automatically. Each shopper's real order history syncs into behavioral tiers that an adaptive Naive Bayes model uses to rank offers per customer — across product, cart, and thank-you surfaces. Works on privacy-preserving tiers without requiring customer PII.
Qualification Rules & Arbitration
Define eligibility rules per offer with a visual rule builder. Multi-objective arbitration uses the PRIE formula (Propensity, Relevance, Impact, Emphasis) to rank competing offers and resolve conflicts automatically.
Enterprise Security
AES-256-GCM encryption at rest, Row-Level Security auto-enabled per tenant, RBAC with hash-chain audit trail, CSRF and SSRF protection, and sliding-window rate limiting. Deploy on your infrastructure with full control.
Explore by solution: Open-source next-best-action · Self-hosted recommendation engine · Shopify personalization
See it in action with a real dataset