01
Speaks your product’s language
Teach AIxis the terms, entities, and working rules unique to your product—once.
Give every AI feature the context it was missing.
AIxis is context infrastructure for AI-native products—turning the knowledge your product already has into dependable answers, connected evidence, and honest uncertainty.
API infrastructure for teams putting AI into real product workflows.
acme-product / context
Context currentAsked by your product
Did launch creative beat the retention benchmark?
Grounded answer
Yes. Fifteen-second retention reached 31.8%, above the 24.6% benchmark.
Claims connected to source evidenceHigh confidence
Illustrative product viewResponse ready
The context layer
A model can reason. Your product still has to tell it what matters.
Important knowledge is spread across records, outcomes, decisions, and the language your team has learned over time. AIxis makes that context usable without turning your product into another chat window.
02
Follows the whole story
Connect decisions, changes, outcomes, and the evidence between them instead of matching isolated text.
03
Makes uncertainty useful
Every response can carry confidence, source evidence, and the gaps your product should acknowledge.
How it works
Connect once. Keep your product understood.
Your team manages context and credentials in one control plane. Your product uses the API wherever an AI feature needs to understand, explain, or decide.
Teach AIxis how your product thinks
Describe your language, entities, operating rules, and the questions that matter.
Keep knowledge current
Send durable facts and updates as your product learns—structured directly or expressed naturally.
Ask from any product surface
Get an answer shaped for your application, with evidence, confidence, and known gaps attached.
Built for your backend
One context surface behind every AI experience.
Use the same dependable product understanding across assistants, copilots, automations, internal tools, and workflows—without giving up the experience you designed.
Project-scoped credentialsReasoning depth controlsEvidence-shaped responses
answer.tsPOST /v1/query
const result = await aixis.query({
question: userIntent,
reasoning: "medium"
});
{
answer: "…",
confidence: 0.92,
evidence: [3 sources],
data_gaps: []
}
Product principles
The parts that should never be optional.
AI features earn trust when their answers are useful, bounded, and clear about what they know.
Evidence before confidence
Answers stay connected to the product knowledge that supports them.
Boundaries by default
Credentials and context remain scoped to the project that owns them.
Fast when it can be
Choose the reasoning depth that fits each product moment.
Infrastructure, not a destination
Keep your interface, users, and workflows entirely yours.
Build AI that knows the product around it.
Access is reviewed directly by the AIxis team. Tell us what you’re building and where dependable context would change the experience.
Request access