Dedicated · On-prem for enterprise
A dedicated recommendation engine with full data control
KaireonAI is a real-time recommendation and decisioning engine. Run it as an isolated, single-tenant instance — or, for enterprise, on your own infrastructure under license. Score with nine ML engines and return the best action in a real-time API call, with your data segregated and under your control.
Why a dedicated recommendation engine
A shared recommendation service means your customer data sits alongside everyone else's and your decisioning logic lives in a black box you cannot inspect. A dedicated, single-tenant instance — or an enterprise on-prem deployment — removes both problems.
Your data stays segregated
A dedicated instance keeps your customer data isolated and under your control. No shared-tenant surface, no third party in the decision path — and for enterprise, an on-prem deployment inside your own environment under license.
One instance, run for you
The Dedicated plan is a single-tenant deployment we host, scale, upgrade, and back up. You get isolation and control without operating a fleet of services yourself.
Governed and explainable
The pipeline stages, the models, and the decision traces are designed to be visible: every decision returns an explainable trace. You can understand, audit, and control every recommendation.
More than a recommender — a decisioning engine
The item a person is most likely to click is not always the one you are permitted to show them, the one that serves the business, or the one that respects fatigue rules. A self-hosted recommendation system that only ranks by predicted engagement misses all of that.
KaireonAI runs a full decision pipeline on every request: inventory, eligibility and fit filters, contact policy, match scoring, and multi-objective ranking. Eligibility, policy, scoring, and ranking all execute per call, and the winning action comes back through a real-time Recommend API. The customer response flows back through a Respond API, closing the loop so the next decision is a little smarter.
Nine scoring engines, built in
Scoring is a choice, not a single algorithm. Assign any of nine engines to a decision — each scores inside the pipeline, with no external inference hop. The bandit and online-learning options matter for cold starts, where a model that explores deliberately learns which actions work far faster than one that waits for a scheduled retrain.
Secure by default
A dedicated instance only helps if the engine is safe to run. KaireonAI enables per-tenant Row-Level Security automatically, encrypts data at rest with AES-256-GCM, and enforces RBAC with a hash-chain audit trail — so you keep full control over who can see and change what.
Frequently asked questions
How do I run a dedicated or self-hosted recommendation engine with KaireonAI?
Two ways. The Dedicated plan is an isolated, single-tenant instance we run for you, so your data stays segregated and under your control while we manage hosting and operations. For teams that must run inside their own environment, Enterprise offers an on-prem deployment option under a commercial license.
Is KaireonAI a recommender or a decisioning engine?
Both. A recommender answers what a person is likely to engage with. KaireonAI goes further and answers what single action you are allowed to take and should take given eligibility, contact policy, and business value — so the winner is genuinely best, not just the most clickable.
What models can the engine use?
Nine scoring engines are built in: Scorecard, Bayesian / Naive Bayes, Logistic Regression, Gradient Boosted Trees, Thompson Bandit, Epsilon-Greedy, Neural Collaborative Filtering, Online Learner, and an External Endpoint to call your own model. Each scores inside the pipeline, per request.
How does it get my data?
50+ data connectors bring data from object stores, streaming platforms, warehouses, lakehouses, CRMs, relational databases, and REST APIs. Schema-driven ingestion creates real PostgreSQL tables, and customer profiles can be enriched at decision time.
Keep reading: What is Next-Best-Action? · Personalization without PII · Platform features
Keep your data where it belongs
Explore the live playground, then talk to us about a dedicated or on-prem deployment.