Real-time decisioning · Start free
The real-time next-best-action decisioning platform
KaireonAI decides the single best offer, message, or action for each customer in real time — with visual decision pipelines, nine scoring engines, and an explainable trace for every decision. Start free, or run a dedicated single-tenant instance for full data control.
Decisioning you can see and control
Decisioning that affects real customers should be something you can understand and govern. In KaireonAI the stages, the models, and the decision traces are all designed to be visible: every decision returns an explainable trace showing which rules passed, which model scored, and which policy applied. Governed and auditable is what lets regulated teams put it into production.
Start free on the hosted platform, or run a dedicated, single-tenant instance where your data stays segregated and under your control. Enterprise adds an on-prem deployment option under a commercial license, along with SSO, governance, and a custom SLA.
A decision pipeline you can see
Every request flows through a visual pipeline you build without code. Each stage narrows or scores the set of candidate actions, and the last stage picks a winner:
Inventory
The full set of candidate offers, messages, or actions for this touchpoint.
Eligibility
Fit filters remove anything the customer is not eligible for.
Contact policy
Frequency caps, suppression windows, and cooldowns protect the relationship.
Match scoring
A model scores each surviving candidate for this specific customer.
Ranking
Multi-objective ranking orders the candidates and selects the best.
Nine scoring engines, built in
The scoring stage is a choice, not one algorithm. Assign any of nine engines to a decision — each scores inside the pipeline, with no external inference hop.
Scorecard
Transparent, weighted rules. Ideal when you need an explainable, auditable score with no training data.
Bayesian / Naive Bayes
Fast, probabilistic scoring that learns continuously from outcomes as they arrive.
Logistic Regression
A dependable, calibrated baseline for binary response prediction.
Gradient Boosted Trees
Captures nonlinear feature interactions when you have richer data and want accuracy.
Thompson Bandit
Bayesian exploration that balances learning about new actions against exploiting known winners.
Epsilon-Greedy
A simple, robust bandit that reserves a slice of traffic for exploration.
Neural Collaborative Filtering
Learns latent customer and offer affinities for recommendation-style problems.
Online Learner
Updates incrementally on every outcome, so the model tracks shifting behavior without a batch retrain.
External Endpoint
Call your own model over an API when you already have one you trust.
Everything around the decision
A decision engine is more than a model. KaireonAI ships the whole stack: contact policies and suppression to prevent fatigue, A/B experiments with holdout groups and uplift measurement, 50+ data connectors for object stores, warehouses, streams and CRMs, real-time dashboards, and 160+ MCP tools with an AI assistant so you can build and maintain decisioning config in natural language. Security is on by default: per-tenant Row-Level Security, AES-256-GCM encryption at rest, and RBAC with an audit trail.
Frequently asked questions
How do I get started with KaireonAI?
Start free. The Free tier gives you 3,000 decisions a month on the real product — the complete decisioning engine — with no credit card. As your decision volume grows you move up usage-based Starter, Growth, and Scale tiers.
What is next-best-action decisioning?
Next-best-action (NBA) decisioning is the discipline of choosing, in real time and per person, the single best offer, message, or action to take right now. It folds propensity, eligibility, contact policy, and business value into one ordered decision rather than a raw list of likely clicks.
Can I run KaireonAI on isolated or on-prem infrastructure?
Yes. The Dedicated plan runs an isolated, single-tenant instance for you, so your data stays segregated and under your control while we manage the software and operations. Enterprise adds an on-prem deployment option under a commercial license, along with SSO, governance, and a custom SLA.
How does the platform score decisions?
Scoring is a choice, not a single algorithm. The platform ships nine scoring engines — from a transparent Scorecard to Gradient Boosted Trees, bandits, and an External Endpoint — that run inside the decision pipeline, per candidate, per request.
Keep reading: What is Next-Best-Action? · Platform features
See it decide
Try the live playground, then start free with the real platform.