DataKite Talk to us
Rawi

One platform.
Many governed skills.

Rawi is the platform banks subscribe to, launch through MyMoney, and extend through approved skills. It keeps policies, APIs, audit, deployment topology, and skill governance in one control layer.

Talk to us → Neurosymbolic AI
Platform and expansion

Rawi is the control layer under each deployment.

MyMoney is the first packaged experience. Rawi is the platform underneath it: the place where bank policies, approved APIs, audit logic, skill governance, deployment topology, and the expansion roadmap live.

  1. Layer 1

    Subscription platform

    Rawi is the durable commercial and control layer underneath every DataKite deployment.

  2. Layer 2

    Packaged experiences

    Bank-ready applications such as MyMoney bundle skills, interfaces, and deployment patterns into a focused outcome.

  3. Layer 3

    Approved skills

    Audited units of banking functionality run through approved APIs and platform policy controls.

  4. Layer 4

    Build paths

    DataKite, certified SIs, and bank teams can extend Rawi under the same certification and audit model.

Skills

Skills are the expansion surface.

A skill is a deterministic unit of banking functionality on Rawi. Skills package the approved action, API pattern, policy checks, templates, and audit trail needed to add a new workflow.

  • Spending insights
  • Subscription tracking
  • Card servicing
  • Transfers
  • Bill payments
  • Beneficiary management
Who builds on Rawi

One governed build surface.

DataKite, selected system integrators, and bank engineering teams can build against the same approved patterns. Ownership can vary by workflow; platform governance stays consistent.

DataKite

Builds platform skills, packaged products like MyMoney, and reference patterns for new workflow categories.

System Integrators

Build skills inside bank programs under DataKite governance and certification.

Bank engineering

Builds skills against the bank’s own APIs and policy, with the same governance applied to internal teams.

Architecture, in brief

How Rawi is built.

Rawi separates AI understanding from governed execution: the model interprets what the customer means; the platform decides what runs. The full neurosymbolic architecture, execution flow, and deployment model live on the Neurosymbolic AI page.

Discuss the Rawi platform layer.

We’ll walk through how Rawi supports MyMoney, approved skills, bank APIs, governance, and expansion paths.

Talk to us