The right offer for every customer,
decided in real time.
Call one API when a customer shows up — a login, an email open, a page view — and KaireonAI returns the single best offer or message to show them: ranked by your goals, filtered by your rules, and better with every response.
Try free in the Playground · no credit card
- 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
- Rigid and hard to change
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.
The agentic layer
A platform that tunes itself.
Never behind your back.
Most platforms bolt on a chatbot. KaireonAI closes the loop: observe, propose, approve, apply — with the same four-eyes governance a human change would go through. The decision path stays deterministic; the configuration becomes self-driving.
It proposes. You approve.
A background sweep watches your experiments and models. When a challenger beats the champion with statistical significance — or a model drifts — the Autopilot writes a proposal to the Recommendation Inbox. You choose the autonomy: suggest-only, four-eyes approval, or fully automatic with a complete audit trail.
Silence is a failure mode.
A mis-scoped policy or a broken rule doesn't throw errors — it quietly stops decisions from going out. The Sentinel watches suppression and empty-decision rates every 30 minutes, raises alerts on breaches, and — only if you opt in — pauses affected flows before the damage compounds.
AI that asks first.
The built-in assistant manages your whole platform in natural language — but every write it attempts returns a preview card. Nothing executes until you click Approve. Enforced at the tool layer, not by prompt engineering, and audit-logged end to end.
Your agents, first-class.
Point Claude Code, Cursor, or any MCP client at 160+ tools — locally over stdio or remotely over plain HTTPS. Calls are tenant-pinned, rate-limited, and audit-logged, and mutating playbooks queue for approval instead of writing directly. Agent access without agent risk.
The autonomy dial — per tenant, one setting:
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
Real-time, per-customer decisioning — live in weeks, improving itself from every outcome.
One API call returns the single best offer or message for a specific customer in the moment — ranked by your goals, filtered by your eligibility and contact rules. The right offer converts better than a generic one, and that lift compounds across every touch.
From simple scorecards to Thompson sampling bandits. Multi-objective ranking balances revenue, margin, propensity, and engagement — not just click-through.
Every outcome flows back in, so decisions get better automatically without a data-science team babysitting a retrain. And every decision returns an explainable trace — every rule, every score, every policy check.
More revenue per interaction
The right offer converts better than a generic one — and that lift compounds across every customer touch. You stop leaving money on the table on every campaign, page view, and reply.
Weeks, not years
Get real-time, per-customer decisioning without building a platform, hiring a data-science team, or signing a seven-figure enterprise suite. One API call, live in weeks.
It improves itself
A built-in learning loop means decisions get better automatically from every outcome — and every decision returns an explainable trace you can inspect, so it stays governed and auditable.
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
- Real-time single-call pipeline
160+ 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.
- 160+ MCP tools for AI IDE integration
- 90+ built-in AI assistant tools
- 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
- 7 dashboards (Business, Ops, Model, Data, Attribution, Executive, Decision Health)
- 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.
- 50+ 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
Deployment & Data Control
- Fully managed cloud — start free
- Dedicated single-tenant private cloud
- Enterprise on-prem option under license
- Your data isolated and under your control
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
One-click personalization for Shopify
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 feeds behavioral tiers — spend, recency, frequency — that an adaptive model uses to rank offers per customer across the product page, cart, and thank-you surfaces. It works on privacy-preserving tiers, without requiring customer PII.
Built for Every Industry
See how teams use KaireonAI across verticals.
See how it works end-to-end with a real dataset
Try the Rewards Tutorial →10 offers · 6 channels · 100 customers · 3 ML algorithms · Full decision pipeline
Simple, Usage-Based Pricing
Usage-based pricing that scales with your decision volume — never per seat. Self-serve plans open in a few days.
Growth
1,000,000 decisions/mo
Scale personalization across every channel.
Join the waitlistDedicatedprivate cloud
We run an isolated, single-tenant instance for you — full data isolation and control, with the code and operations managed by us.
Talk to us →Enterprisecustom
SSO/SAML, governance and audit, dedicated infrastructure, an on-prem option under license, and a custom SLA with dedicated support.
Contact sales →Have Questions?
Drop us a message and we will get back to you within 24 hours.