Next-Best-Action
Intelligence Platform
Deliver the right offer, to the right customer, at the right moment — on every channel. Visual decision pipelines, built-in ML scoring, open source.
5,000 free decisions, no email, no credit card. Self-host for unlimited →
- 1Gold Credit Card0.94
- 2Premium Checking0.81
- 3Auto Refi · 4.25%0.67
Your customers expect every interaction to feel personal.
Most brands still spray and pray.
Heavyweight Suites
- High licensing cost
- Long implementation cycles
- Limited ability to self-host
Point Solutions
- One channel at a time
- No unified scoring
- Brittle integrations
Homegrown Rules
- No ML, no learning
- Hard to scale
- Limited auditability
There has to be a better way.
See KaireonAI in 30 seconds
Data, decisioning, dashboards, AI assistant, and the Recommend API — end to end.
~30s narrated tour. Best viewed full-screen.
Why KaireonAI
Open source from day one. Self-hostable, production-ready, no license fee.
Apache 2.0 licensed. Run the full platform — visual pipelines, scoring, arbitration, dashboards — on your own infrastructure, at any scale, with no license fee.
From simple scorecards to Thompson sampling bandits. Multi-objective arbitration balances revenue, margin, propensity, and engagement — not just click-through.
Real-time decisioning at scale. The composable pipeline evaluates qualification, scoring, ranking, and contact policies in a single API call — fast enough for any customer-facing channel.
Open Source, No License Fee
Apache 2.0 licensed. The full platform — visual pipelines, 9 scoring algorithms, 80 connectors, 130+ MCP tools — runs on your infrastructure, at any scale. Docker Compose up in 2 minutes.
Visual Pipeline with Full Decision Trace
16 composable node types across 3 phases (Narrow, Score & Rank, Output). Every decision is forensically replayable — every rule pass/fail, every model score, every policy check is captured and queryable.
AI-Native from Day One
130+ MCP tools for Claude Code and Cursor. 250+ built-in AI assistant actions. Build and maintain decisioning config in natural language.
See It Work
Four live animations of the platform's core mechanics — the scoring math, the runtime, the learning loop, and the AI-native build flow.
How a candidate's score is composed — four weighted dimensions multiplied through a geometric mean.
PRIE composition
Geometric mean of four weighted dimensions
score = P0.4 × R0.2 × I0.3 × E0.1 · weights configurable per RankingProfile
The Recommend API call — typed payload to ranked decisions with full trace, end to end.
—
The closed loop: every recorded outcome tightens the posterior. When the credible interval is narrow enough, the offer matures.
Model Health · offer_credit_card
Posterior tightens as outcomes accumulate
Width ≤ 0.20 at 95% CI = mature · exposure goes to 1.0
Build decisioning by chat. Natural language picks the right MCP tool, previews the change, applies on approval.
Everything You Need
From data ingestion to real-time decisioning — one platform.
Visual Decision Flows
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
- 9 ML scoring models (Scorecard → Thompson Bandit)
- PRIE multi-objective scoring formula
- Sub-200ms end-to-end latency
130+ MCP Tools + AI Assistant
Manage your entire platform from Claude Code, Cursor, or the built-in chat. Create offers, run recommendations, and analyze performance — all through natural language.
- 130+ MCP tools for AI IDE integration
- 250+ built-in AI assistant actions
- Preview → approve → execute workflow
- Context-aware across all modules
Eligibility Debug & Dashboards
See exactly why an offer was or wasn't shown. Pipeline funnel visualization, per-rule pass/fail, real-time dashboards with period filters and dimension breakdowns.
- Unified customer view with eligibility debug
- 5 dashboards (Business, Ops, Model, Data, Attribution)
- Decision traces with full pipeline replay
- Score distribution by channel, offer, category
Connect Any Data Source
Bring customer data from any source. Define schemas that create real PostgreSQL tables, enrich at decision time, and segment customers with SQL-backed views.
- 80 connectors: object stores, data warehouses, streaming platforms, CRMs, and more
- Schema-driven: define fields, get real tables
- Multi-row enrichment at decision time
- Segment builder with SQL-backed views
A/B Testing with Uplift Measurement
Run experiments with holdout groups, measure uplift with statistical rigor, and promote winners automatically. Supports epsilon-greedy, Thompson sampling, and multi-armed bandit strategies.
- Holdout groups & control variants
- Z-test uplift with statistical rigor
- Epsilon-greedy & Thompson sampling
- Auto-promote winning variants
Enterprise Security
- AES-256-GCM encryption at rest
- Row-Level Security (auto-enabled)
- RBAC + audit trail with hash chain
- CSRF, SSRF, rate limiting built in
Self-Host Anywhere
- Apache-2.0 — fully open source
- Docker Compose: up in 2 minutes
- Helm chart for Kubernetes
- Your data, your infrastructure
Observability
- Decision traces with full pipeline replay
- Prometheus metrics + health endpoints
- Circuit breakers + dead letter queue
- GDPR/DSAR export and erasure
Governance & SDLC
- Version history with publish/draft workflow
- Decision flow rollback
- Scheduled deployments
- Change request workflows
Built for Every Industry
See how teams use KaireonAI across verticals.
Loyalty that learns from each purchase
Personalized promotions, loyalty rewards, BOGO campaigns. Score by purchase history and membership tenure.
Cross-sell without burning trust
Credit cards, loans, wealth advisory. Qualify by account balance, tenure, and risk profile.
Campaigns that respect frequency caps
Campaign sequencing, frequency optimization, multi-channel delivery with contact policy enforcement.
Churn prevention in sub-second decisions
Plan upgrades, retention offers, winback campaigns. Score customers with ML models and suppress based on contact history.
Renewal outreach timed to each policy
Policy renewals, coverage upgrades, claims prevention. Multi-objective arbitration with qualification rules.
Adherence nudges that respect consent
Care-gap closure, screening reminders, refill prompts. Eligibility rules honor consent flags and clinical guidelines.
Offers matched to the trip in front of them
Ancillary upsells, loyalty redemptions, recovery offers. Score by trip stage, tier, and channel — quiet-hour aware.
In-product growth nudges that feel native
Feature activation, expansion plays, churn signals. PRIE ranking blends product usage with account health for in-app prompts.
See how it works end-to-end with a real dataset
Try the Starbucks Tutorial →10 offers · 6 channels · 100 customers · 3 ML algorithms · Full decision pipeline
Simple, Transparent Pricing
Start free. Scale when you are ready.
Community
Self-host on your infrastructure. Full platform, no limits.
- All 16 Decision Flow node types
- All 9 scoring algorithms
- 80 connectors
- 130+ MCP tools
- AI assistant
- Helm charts included
- Apache-2.0 license
Cloud
Managed hosting. We run it, you use it. Up to 1M decisions/month.
- Everything in Community
- 1M decisions/month
- Managed PostgreSQL & Redis
- Auto-scaling
- Daily backups
- 99.9% uptime SLA
- Email support
Enterprise
Need SSO, dedicated infrastructure, or a custom SLA? Talk to our team.
Contact support@kaireonai.com →Have Questions?
Drop us a message and we will get back to you within 24 hours.