GUÉP
Data Enrichment · Kavuka DaaS

Your records were filled in once. The world has changed every day since.

Kavuka Data Enrichment completes, updates and contextualizes your records from a single key — tax ID, email or phone: updated registry and contact data, federal status, ownership structure, ties and scores. Via API, in batch or in a continuous subscription pipeline.

Seconds
to complete by key
Millions
of records in batch
By event
the change becomes a pipeline
Ownership + scores
included in enrichment

The same infrastructure that processes the platform’s national data asset — from a single API query to batches of millions of records, with sources explained field by field.

Your base took years and millions to build. Today, a third of it is fiction.

Campaigns burned on dead contacts

The phone changed, the email died and the campaign dials into the past. Contact rates fall month after month while budget is spent on people who no longer answer.

A base that is 30% junk

Duplicates, invalids and stale records distort the report, inflate cost and make the model learn from data that lies. Analysis runs on an old photograph.

The company that changed and nobody knew

The federal status flipped, the ownership changed, the address moved — and the operational decision was made on a record from three years ago.

Cost A dirty base charges compound interest: campaigns with falling contact rates, collection that cannot locate a locatable debtor, analysis distorted by duplicates and decisions made on years-old data. A record is not a form filled in once — it is an asset that depreciates without maintenance.

How it works

From key to live record, in one pipeline.

  1. 01

    Send

    The key — tax ID, email or phone — via API, or the file in batch for the whole base.

  2. 02

    Receive

    The complete record: registry data, contact, federal status, ownership structure, ties and the platform’s scores.

  3. 03

    Clean

    Duplicates, invalids and inconsistencies flagged and fixed — the base stops lying to the models.

  4. 04

    Subscribe

    The continuous pipeline: when relevant data changes at the source, the change becomes an event in your base — via webhook or file.

Coverage

The five fronts of served data

A single key activates the platform’s curated data asset and returns the record complete, updated and connected — ready for the campaign, the collection, the operation or the model.

Complete the record

Missing fields filled in by key

Update contact

Live phone, email and address

Federal status

Registry status for individuals and companies

Ownership structure

Partners, holdings and control

Ties and graph

Connections between people and companies

In-house scores

Risk, propensity and qualification

Hygiene

Duplicates, invalids and inconsistencies

Explained provenance

Per-field provenance, purpose-based data law

Segments

Where enriched data goes

Marketing

CRM & B2B/B2C Marketing

A complete, current base — the campaign that finds, with a contact rate that stops falling.

Collections

Collections & Skip-tracing

Updated contact within the legal framework — locate the locatable debtor, without noise.

Operations

Operations & Logistics

The right address and status before the cost of error — the delivery that arrives, the record that checks out.

Data

Data, Analytics & Platforms

The clean base that does not lie to the models, and registry autofill by key — the short-form conversion.

Legal shield

Purpose-based data law, explained provenance, full trail

Enrichment is not one thing: the marketing framework is not the collections one, which is not the risk one. Kavuka Data Enrichment treats data by purpose from contracting, with the right legal basis for each use and provenance explained per field. Governance is not a report at the end — it is how the pipeline operates.

  • Purpose-based data law: contracting defines the purpose (marketing, collections, operations, data) and the product delivers within it, with a trail.
  • Per-field data provenance: public and official sources, licensed partners and the platform’s curated asset — never murky origin.
  • Adequate legal basis per use: legitimate interest, contract execution or legal obligation, according to the declared purpose.
  • Data Processing Agreement available for enterprise clients.
  • Per-record audit trail and encryption in transit and at rest.
Already operating this way
We uploaded the entire base in batch and found a third of the contacts were dead. Recovered, the campaign’s contact rate nearly doubled.
CMO · education platform
The subscription pipeline changed the game: when a company changes status or ownership, we know the same day — not three years later.
COO · B2B credit fintech
What the DPO approved was the per-field provenance and the purpose-based framework. For the first time enrichment cleared legal without caveats.
DPO · retail group

Send a sample of your base and get the X-ray.

We return the completeness, the validity and what can be recovered — the diagnosis before any contract.

  • For businesses only. No purchase commitment.
  • Data used solely for commercial contact.
  • Enterprise leads answered within 1 business day.

In 15 minutes you see the platform in action and get a proposal for your volume.

What data enrichment is and why it never ends

Data enrichment is the process of completing, correcting and contextualizing a record from an identification key — tax ID, email or phone. Instead of asking the customer to fill in thirty fields, the company starts from the data it already has and the platform returns the rest: updated registry and contact data, federal status, ownership structure, holdings, ties, risk signals and proprietary scores. This is the Data-as-a-Service (DaaS) model: data that is curated, updated and connected, served via API, in batch or as a continuous pipeline.

The central point most companies ignore is that records depreciate. A record is not a form filled in once and archived: it is a living asset that ages in silence. The phone changes, the email dies, the address moves, the company alters its status and ownership — and the base that took years and millions to build slowly turns into fiction, record by record. Market studies suggest contact bases lose around 30% of their validity per year without maintenance. The result is the campaign that dials into the past, the collection that cannot locate a locatable debtor and the analysis that runs on an old photograph of reality.

This is where Data Enrichment differs from Background Check within the Kavuka portfolio. Background Check answers “who is this person or company for a risk decision” — the deep, point-in-time verification, with the legal framework proper to a decision about an individual. Data Enrichment answers “complete and keep my record alive” — data management at scale, for data, marketing, collections and operations use cases. These are distinct purposes, and that is why each carries its own legal basis under data-protection law. Treating everything as a “data lookup” is the mistake that exposes the company.

The platform’s structural differentiator is connected data. The Brazilian enrichment market is strong on coverage — the bureaus and big-data specialists have volume — but weak in two things: connected context (they deliver flat data, without the graph of ties and holdings) and product experience (enterprise contracts, slow integration, opaque pricing and murky provenance). Kavuka Data Enrichment serves data already contextualized — ownership, ties and scores — with a new-generation experience: clear API, simple batch, subscription pipeline and, above all, per-field provenance and the purpose-based data-law framework the DPO approves. We do not sell the one-off lookup: we sell the complete, live and governed record — the asset treated as an asset.

FAQ
What is the difference between Data Enrichment and Background Check?

Background Check is the risk decision about an individual — the deep verification, with its own legal framework. Data Enrichment is record management at scale: completing, updating and contextualizing the base for data, marketing, collections and operations purposes, each with its own data-law framework. The two complement each other on the Kavuka platform.

Where does the data come from?

From public and official sources, licensed partners and the platform’s curated data asset — with provenance explained field by field. We do not operate data of murky origin: transparency is the product.

Can I enrich for any purpose?

Each purpose has its own legal basis and framework — marketing, collections, operations and risk are not the same thing. Contracting defines the purpose and the product delivers within it, with a trail. It is the design that protects you and your data subjects.

How does the continuous pipeline work?

You subscribe to base monitoring: when relevant data changes at the source (status, address, ownership), the event arrives via webhook or file — the live record, without re-running the whole batch.

What volume is supported?

From a single API query to batches of millions of records — the infrastructure is the same that processes the platform’s national data asset.

Is enrichment compliant with data-protection law?

Yes. Processing relies on the adequate legal basis for each declared purpose, uses public or legally permitted sources with per-field provenance and keeps an audit trail. DPA available for enterprise clients.

How do I get started?

Send a sample of your base: we return the X-ray — completeness, validity and what can be recovered. From there, we integrate via documented API, process in batch or switch on the continuous subscription pipeline, with dedicated Customer Success.

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