For Technical Teams

    The Control Layer for AI and Data Systems

    Deterministic, auditable, and structured data processing for reliable AI and scalable operations.

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    01 — WHY THIS EXISTS

    AI breaks without controlled input

    Most systems rely on uncontrolled, inconsistent data. AI amplifies these issues instead of fixing them. DataInbox introduces a controlled intake layer before data reaches your systems.

    UNCONTROLLED INPUTS

    email · CSV blob
    API · partial schema
    webhook · retries x3
    form · null fields
    No control layer

    BROKEN OUTPUTS

    AI hallucination
    duplicate records
    wrong routing
    silent data loss

    02 — CORE PRIMITIVES

    A deterministic data intake layer

    Four primitives that make every event predictable, replayable, and safe.

    Two-Phase Ingest

    Raw data is always stored first. Processing happens after — never destructive.

    RAWPROCESSED

    Deterministic Processing

    Same input always produces the same output. Reliable and debuggable by design.

    f(x) → y
    f(x) → y
    f(x) → y

    Diff-Based State

    Every change is tracked as a delta. You see what changed, not just the result.

    - status: pending
    + status: approved

    Declarative Transforms

    Rules and mappings instead of hard-coded pipelines. Flexible, transparent logic.

    map: email → user.email
    rule: amount > 500

    03 — TECH FLOW

    From input to controlled output

    A single, observable path from raw signal to structured, AI-ready data.

    INPUTS

    APIs
    Emails
    Events
    Forms
    CONTROL LAYER

    DATAINBOX

    Validation
    Mapping
    Rules
    Functions
    raw → validated → structured → emitted

    OUTPUTS

    Structured data
    AI-ready input
    System integrations

    04 — CAPABILITIES

    Engineered for control

    Replayable Processing

    Re-run logic on existing data when rules change.

    Full Lineage

    Track how every output was created — end to end.

    Idempotent Operations

    No duplication or inconsistent states under retries.

    Function Execution Layer

    Extend logic with reusable, sandboxed transformations.

    Structured Output Contracts

    Reliable, typed data for downstream systems and AI.

    Versioned Schemas

    Evolve contracts safely without breaking consumers.

    05 — WHY IT MATTERS

    Built for reliability at scale

    AI systems require predictable input. Debugging requires traceability. Automation requires consistency. DataInbox makes all three the default.

    Fewer errors
    Faster iteration
    Safer automation
    Explainable outcomes

    06 — FOR DEVELOPERS & ARCHITECTS

    Designed for modern architectures

    • API-first design
    • Declarative configuration (YAML-based)
    • Extensible with custom functions
    • Works alongside ERP, CRM, and AI systems
    View Documentation Talk to Engineering
    # inbox.yaml
    inbox: orders
schema:
  id: string
  amount: number
  currency: enum [EUR, USD]
rules:
  - when: amount > 500
    route: finance.review
functions:
  - normalize_currency
  - enrich_customer
output:
  contract: order.v2

    07 — POSITIONING

    DataInbox is not an integration tool or ETL pipeline. It is a control layer that ensures all incoming data is structured, validated, and reliable before it reaches your systems or AI.

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