Dativus by Curadai · Early access

Turn source data into
a product you can trust.

Dativus brings source intake, governed construction, quality checks, lineage, and release review into one workspace. An AI agent team helps prepare the work. Your team controls the meaning, policy, and publication.

Explore early access See how Dativus works
  1. 01 / SOURCEKnow your inputComplete source. Clear purpose.
  2. 02 / BUILDInspect the workVersioned output. Measured checks.
  3. 03 / REVIEWEstablish trustEvidence. Independent decisions.
  4. 04 / RELEASEUse an approved resultControlled query. Traceable answer.

One connected workflow

From “here’s our data”
to “here’s what we can stand behind.”

A governed product needs more than a clean table. Dativus connects the source, the build, the business meaning, and the decisions that make a result ready to use.

  1. 01

    Define the result

    Describe the product you need, its intended users, and its approved purpose. Save a build plan with clear limits.

  2. 02

    Bring the source

    Upload a complete source or import an eligible connector acquisition. Confirm its completeness and review validation results.

  3. 03

    Construct and inspect

    Build a versioned table, apply only permitted repairs, and inspect the quality, catalog, lineage, and monitoring artifacts.

  4. 04

    Review the evidence

    Review business meaning, policy, and trust evidence. Independent reviewers decide on proposals that require approval.

  5. 05

    Publish and query

    Release an approved version. Run the permitted metric against that snapshot and inspect the result’s provenance.

  6. 06

    Monitor and improve

    Follow activity, freshness, and incidents. Record remediation work and review changes before the next release.

Four pillars of trust

Know why a product deserves your trust.

Governance, quality, provenance, and observability each have their own evidence and review. A completed build is a step in the process; trust comes from what the evidence supports.

01

Governance

Who owns it, and how may it be used?

Record ownership, approved purpose, classification, and business meaning. Review policy and semantic changes before they become authoritative.

Ownership · Meaning · Policy

02

Quality

Does the data meet the contract?

Validate the complete source, inspect failed rules, and measure permitted repairs. Check the built result before it moves toward publication.

Validation · Repair · Reconciliation

03

Provenance

Where did this result come from?

Follow source versions, transformations, column identities, and published snapshots. Keep the connection from a query result back to its source.

Source versions · Lineage · Receipts

04

Observability

Is it still operating as expected?

Track processing runs, freshness, incidents, and recovery work. See what needs attention and inspect the evidence behind the current state.

Freshness · Operations · Remediation

A workspace for the whole product

The next action.
The supporting evidence.
The people responsible.

Move between your product portfolio and the details of a single build. Dativus keeps the work visible across the web workspace and desktop companion.

Products & activity
Find a product, follow its creation journey, and inspect processing runs, releases, incidents, and assigned agent work.
Meaning & knowledge graph
Review source meanings and column aliases. Explore the relationships between a product’s sources, policies, metrics, and evidence.
Connectors & source intake
Configure available source connections and inspect acquired data. Select a complete, compatible acquisition for the product build.
Remediation & operations
Track recorded remediation plans, investigate failed runs, and inspect freshness and recovery controls.

An AI team, with clear responsibilities

Eight specialist roles. One coordinated effort.

Dativus organizes assistance around the disciplines that a data product needs. Chat helps you navigate the work; product tasks prepare artifacts and evidence within the approved plan.

  • Data Steward

    Catalog, ownership, and business meaning

  • Data Quality

    Validation, profiling, and quality evidence

  • Privacy Officer

    Sensitive data and permitted-use review

  • Data Engineer

    Source preparation and construction

  • Data Architect

    Product structure and relationships

  • BI Engineer

    Metric definitions and interpretation

  • Governance Officer

    Policy, auditability, and release evidence

  • MDM Specialist

    Completeness and identity consistency

You stay in control. Construction follows saved authorizations and limits. Required independent approvals remain with eligible reviewers before meanings, policies, assessments, or releases take effect.

What you can explore today

A focused first workflow:
Donation Activity.

The current early-access workflow starts with a complete Donation Activity CSV, or a compatible full connector acquisition, and constructs a versioned data table with an Active Donors metric.

Inspect source validation, permitted repairs, business meaning, trust evidence, independent release review, and the provenance of a published query result in one product journey.

Dativus is in active development. Early access focuses on this supported workflow; broader datasets, custom metrics, and provider availability are discussed during onboarding.

Build trust into your next data product.

Tell us where your data work gets stuck. We’ll walk through Dativus, discuss the current workflow, and explore whether early access fits your organization.

No spam. We'll reach out when it's your turn.