Data Panda brings your Datagma enrichment results together with the data from the rest of your stack. From one place, we turn it into dashboards, automations, AI workflows and custom apps your sales and ops team uses every day.
Datagma is a Paris company, registered as a SASU at 3 boulevard de Sebastopol, founded in 2021 by Raphael Azot. The product sits in the same category as Apollo, Lusha, ContactOut and Kaspr but the buyer profile is different: outbound and SDR teams across Europe that need a B2B contact source they can defend in a GDPR conversation with their own legal team.
The mechanic is straight enrichment. You hand Datagma a LinkedIn URL, a name plus company, a website or an email, and the API returns a verified business email, a direct mobile phone (charged at thirty credits where an email costs one), job title, seniority, company industry, headcount, revenue band, funding history and the technology stack on the website. The Chrome extension does the same thing on top of LinkedIn for one prospect at a time, the file uploader does it for a list, and Make, Zapier, n8n and a native HubSpot integration push the results straight into a workflow. The credit model only burns a credit when the data is found, which keeps the per-lead cost honest on lists where coverage is thin.
The point of pulling Datagma into a warehouse is that an enrichment tool tells you the contact exists. It does not tell you what happened next. Whether the verified email got opened, whether the mobile picked up, whether the company that looked like a perfect ICP on a Datagma signal closed at the price the model assumed: those answers only appear when Datagma's enrichment record sits next to the CRM, the sequencer, the meeting tool and the closed-won pipeline on the same row.
When Datagma finds a verified email or direct mobile on a target person, the contact is created or updated in HubSpot with company firmographics, seniority and the technology-stack signal already populated. SDRs stop re-typing data the API already returned and the lifecycle stage moves on a verified contact, not a guess.
New Salesforce leads and accounts get a Datagma lookup at the moment they are assigned to an AE or SDR, so the rep opens the record with the verified email, the mobile number, the headcount band and the funding history already on the page. Round-robin starts on a complete record instead of a name and a guess at the company size.
Datagma matches against a target-account list with persona filters (CRO, Head of RevOps, VP Engineering at companies of a given headcount and tech stack) and posts a scoped Slack alert to the right SDR pod when a verified record lands. The team works the freshly enriched contacts the same day instead of finding them on a Monday list export.
When a prospect books a meeting through Calendly with only an email, Datagma fills in the name, company, role, seniority and headcount band before the rep walks into the call. The intro stops being five minutes of qualifying questions and starts on a record that already has the firmographic context.
Outbound list items on a monday.com board pull Datagma enrichment as soon as a row is created, so the SDR sees verified contact data, company size and a credit-cost line on the same card. Lists that burn through credits without producing meetings get cut at the next weekly review instead of running for a quarter.
Email addresses scraped or imported into a Mailchimp audience are checked against Datagma before the next send, and only verified records move into the active segment. Bounce rate stops eating sender reputation and the campaign list reflects deliverable contacts, not a list inflated by stale records.
You keep the reporting tool you already have. We connect it to the warehouse where your Datagma data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
We review your Datagma setup and the systems around it. Together we pick the first thing worth building.