The Data Enrichment agencythat cleans it, enriches it, dedups it, verifies it, keeps it compliantclean data, GDPR-safe.
Data enrichment fills the gaps in your B2B records, finds verified emails and direct phones, and adds the firmographics and technographics your reps need, but bolted onto a dirty base or sourced the wrong way it just enriches duplicates and creates a GDPR problem. We clean and dedup your CRM first, build a waterfall across verified sources, and wire it all on a legitimate-interest, minimized, opt-out-respecting footing an audit can read.
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GeminiA data enrichment agency cleans and complies, not just appends.
Anyone can buy a provider credit and append a column. Cleaning the base first, building a waterfall that matches, and keeping every record GDPR-compliant is a different job. Here are the four things we own.
- Waterfall enrichment
One record, every source asked in the right order
A single provider misses half your rows. We build a waterfall that queries Dropcontact, Societe.info, Clay and the finders you already pay for, in the order that gives the best hit rate per euro, and stops as soon as it has a verified result. Emails get validated, phones checked, firmographics and technographics filled in. You get a higher match rate than any one tool, without paying every vendor for every lookup.
See a typical waterfall - CRM hygiene
Dedup and normalize so your CRM stops lying to you
Enrichment on top of a dirty base just enriches the duplicates. We dedup contacts and companies, normalize job titles, company names, countries and phone formats, merge the records that are the same lead under three spellings, and flag the ones that are stale. Your reps stop emailing the same person twice and your reports stop counting one account as four. Clean first, enrich second.
See the method - GDPR-compliant by design
Enriched the way a data protection audit can read
B2B enrichment is legal under GDPR on the legitimate interest basis, but only if you do it right: data minimization, documented sources, retention limits, and opt-out honored. We enrich on legitimate interest for business contacts, keep only the fields you actually use, log where every value came from, and wire suppression so an opt-out stays opted out. We do not buy or use non-compliant lists, and we will tell you when a use case crosses the line.
See the compliance setup - Automation & AI ops
Wired into your stack, running on its own
A one-off cleanup decays in a quarter. We wire enrichment into your CRM and your inbound so a new lead is enriched, scored and deduped the moment it lands, with a fallback when a source is down and a log when a field is uncertain. We are an automation and AI agency first, so this plugs into the workflows your team already runs instead of becoming another tool nobody opens.
See AI enablement
We run enrichment clean first, compliant always.
Most enrichment projects fail the same way: a tool gets pointed at a base full of duplicates and stale rows, half the appended values are wrong or unused, and nobody can say where the data came from when a prospect asks. So we do it in order: audit the base, clean and dedup, enrich through a waterfall, and wire GDPR into the pipeline instead of the footer.
- Audit · check your base for duplicates, decay, missing fields and where data hurts most
- Clean · dedup and normalize first, so you enrich records instead of enriching mess
- Enrich · waterfall across verified sources, validate emails and phones, fill firmographics
- Comply · document sources, minimize fields, set retention, wire opt-out and suppression
We treat GDPR as the design constraint.
We do not bolt a privacy disclaimer onto a list we bought. We enrich B2B contacts on legitimate interest, keep only the fields you use, log where every value came from, and wire opt-out and suppression so a person who opts out stays out across every list and sync. That is exactly what is missing when enrichment ends at appending a column from a source no one can document.
- We treat GDPR as the design constraint, not a disclaimer: legitimate interest for B2B, data minimization, documented sources, opt-out respected end to end.
- Clean before enrich. We dedup and normalize first, so you do not pay to enrich duplicates and stale rows.
- We will not buy or use non-compliant data. If a use case needs consent we do not have, we say so instead of finding a workaround.
- You leave autonomous: the waterfall and the rules live in your stack, so your team owns the enrichment without us.
Enrichment at the core, clean data and compliance around it.
We build the parts that turn scattered records into a reliable, compliant data asset, then connect them to how your team already sells. Here is what a real enrichment build covers.
- Setup
Waterfall pipeline
We design the enrichment waterfall: which provider gets queried first, the fallback order, and the stop rule, so each row costs the least and matches the most across Dropcontact, Societe.info, Clay and your finders.
- Setup
Email & phone finding
We find and verify professional emails and direct phone numbers, run validation to drop catch-all and risky addresses, and keep bounce rates down before your reps ever send.
- Setup
Firmographics & technographics
We fill company size, revenue band, industry, headquarters and the tech stack a company runs, so your segmentation and routing work on real attributes instead of guesses.
- Setup
Dedup & normalization
We merge duplicate contacts and accounts, normalize titles, company names, countries and phone formats, and standardize the fields your CRM and your reports depend on.
- Setup
GDPR & suppression
We document sources, set retention limits, minimize the stored fields, and wire an opt-out and suppression layer so a person who opts out stays suppressed across every list and sync.
- Setup
CRM sync & monitoring
We connect enrichment to HubSpot, Salesforce or your CRM, enrich new leads on arrival, and monitor hit rate, freshness and source health so quality does not quietly rot.
We read your data quality, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your base: duplicate rate, missing emails and phones, how stale the firmographics are, and your legal footing for enrichment. You leave with an honest read on what to clean, what to enrich, and what to keep compliant. Zero pitch, just a data engineer's take on your CRM.
- An honest read on how dirty and incomplete your base is
- What to dedup and normalize before enriching
- The waterfall and sources worth building
- A frank take on what the data cannot give you
How we run a data enrichment project.
Five steps, in order. We do not enrich before the base is clean, we do not append a field we cannot source, and your team owns the pipeline at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Data audit
Find where your data actually hurts
We look at your real base: duplicate rate, how many records are missing an email or a phone, how stale the firmographics are, and where bad data costs you (bounces, mis-routing, reps chasing dead contacts). We also check your legal footing for enrichment. Half the value is telling you that a chunk of your problem is dedup, not enrichment, so you do not pay to enrich the same lead four times.
- Step 2 · Clean & normalize
Dedup and standardize before adding anything
We merge duplicate contacts and accounts, normalize job titles, company names, countries and phone formats, and flag stale records for refresh or removal. This is the unglamorous step most tools skip, and it is why their enrichment looks worse than the demo. Your base gets standardized so the next step adds clean, comparable data instead of more noise.
- Step 3 · Waterfall enrichment
Ask every source in the order that wins
We build the waterfall: Dropcontact, Societe.info, Clay and the finders you use, queried in the order that maximizes hit rate per euro and stops on the first verified result. Emails are validated, phones checked, firmographics and technographics filled. You get a higher match rate than any single provider, and you stop paying every vendor for every row.
- Step 4 · Make it compliant
Wire GDPR into the pipeline, not the footer
We document where each value came from, minimize the fields you store to what you actually use, set retention limits, and build the opt-out and suppression layer so a person who unsubscribes stays suppressed across every list and sync. Enrichment runs on legitimate interest for B2B contacts, with a record an audit can read. We flag any use case that needs consent we do not have.
- Step 5 · Automate & hand over
Run it on autopilot, then get out of the way
We wire enrichment into your CRM and your inbound so new leads are cleaned, enriched and deduped on arrival, with fallbacks when a source is down and alerts when hit rate drops. The waterfall and the rules live in your stack so your team owns it. If you want us monitoring quality as you scale, we talk about that separately. If you can run it in-house, we hand you the playbook.
We're judged on the data that holds up.
No data-vendor badge to display, so we lead with what matters: feedback from the teams whose base we cleaned and enriched, and whether their match rate and deliverability held up after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The waterfall and rules live in your stack, owned by your team
- Hygiene and compliance wired before anything gets appended
- Sources documented, fields minimized, opt-outs respected
- Trustpilot reviews come from the teams we enriched data for
The questions we get asked on repeat.
What does a data enrichment agency actually do?
A data enrichment agency takes your sparse, messy B2B data and turns it into clean, complete, usable records. We dedup and normalize your CRM first, then run a waterfall across verified sources like Dropcontact, Societe.info and Clay to find and validate emails, direct phones, firmographics and technographics. We wire it into your stack so new leads get enriched on arrival, and we do all of it on a GDPR-compliant footing. The point is data your reps can actually act on, not a one-off file that decays in a quarter.Is B2B data enrichment GDPR-compliant?
It can be, and that is the whole job. GDPR allows enriching B2B contact data on the legitimate interest basis, but only with data minimization (keep only the fields you use), documented sources, retention limits, and opt-out honored. We enrich business contacts on legitimate interest, log where every value came from, wire a suppression layer so opt-outs stay opted out across lists and syncs, and we do not buy or use non-compliant data. We will also tell you when a use case, especially B2C, needs consent you do not have.How much does data enrichment cost?
It depends on scope: a one-time cleanup and enrichment of an existing base is different from wiring a live waterfall into your CRM and inbound. We do not throw out a flat package. We start with a free 60-minute audit to see how dirty and how incomplete your data actually is, then quote a fixed scope. The provider credits (Dropcontact, Societe.info, your finders) you pay directly; we design the waterfall so you stop paying every vendor for every row and your cost per verified record drops.What is waterfall enrichment and why does it matter?
Waterfall enrichment queries your data sources in sequence instead of relying on one. A row hits the first provider; if it comes back empty or low-confidence, it falls through to the next, and so on until a verified result is found or the chain ends. It matters because no single provider has the best coverage on every contact and region. The waterfall gets you a higher match rate than any one tool, and stopping on the first good result keeps you from paying every vendor for every lookup.Can you clean and dedup our CRM, not just add data?
Yes, and we do it first. Enriching a base full of duplicates and stale rows just enriches the mess. We merge duplicate contacts and accounts, normalize job titles, company names, countries and phone formats, and flag records that are too old to trust. CRM hygiene is the step most enrichment tools skip and the reason their output looks worse than the demo. Once the base is clean and standardized, enrichment adds comparable, usable data instead of more noise.Which enrichment tools and sources do you use?
We are tool-agnostic and build on what fits your market and your stack: Dropcontact and Societe.info for European, RGPD-aware B2B data, Clay to orchestrate the waterfall and the finders, plus the providers you already pay for. We validate emails to cut bounces, verify phone formats, and pull firmographics and technographics where they exist. We pick sources on coverage, accuracy and compliance for your segments, not on which vendor gives us a badge, because there is none to sell here.When is data enrichment NOT the right fit?
When the honest answer is no, we say it. Some data simply is not available or is inaccurate at the source, and no waterfall invents a direct dial that no provider holds. Consent constraints limit certain B2C use cases, and we will not work around them. If your real problem is a tiny or badly defined target list, enrichment will not fix targeting. And if your base is mostly duplicates, the win is hygiene first, enrichment second. We would rather scope you out than sell you a cleanup that does not move your numbers.How long does a data enrichment project take?
For a one-time clean-and-enrich of an existing base, count a couple of weeks: audit and dedup first, then the waterfall run and validation. Wiring a live pipeline into your CRM and inbound, with compliance and monitoring, runs longer. We split it into batches so you get a clean, enriched base fast rather than waiting on a full build before anything improves. The compliance layer (sources, retention, suppression) is set up alongside, not bolted on at the end.
Stop appending columns. Build a clean, compliant base.
A 60-minute audit, your data quality read, an enrichment plan with hygiene and GDPR baked in. If your team can run the pipeline in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.