Data Panda brings your Attio data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Attio is a London-based CRM founded by Nicolas Sharp and Alexander Christie, publicly launched in 2023 and backed by a 2025 Series B led by GV that brought total funding above $100 million. The product targets SaaS scale-ups that outgrow HubSpot's fixed schema and refuse to take on Salesforce's admin weight. Customers on its own site include Modal, Flatfile, Replicate, Snackpass, Bravado and Union Square Ventures.
Attio's data model is the reason most teams pick it. People, Companies, Deals and Workspaces are standard, but every object has first-class custom attributes and custom objects land next to them with the same API treatment. Lists group records for a playbook rather than duplicating the record. AI features sit on top of that schema: enrichment, research agents and field-filling agents read and write the same objects your team edits by hand.
The point of pulling Attio into a warehouse is that the flexibility that makes it attractive also makes it easy to lose the thread. A custom attribute invented by one rep for one deal shows up on twelve thousand records six months later, and commission runs, churn models and board reporting each interpret it differently. In a warehouse, Attio's objects sit next to the Stripe subscription, the Gong call and the Intercom conversation, and the weekly revenue review runs on the joined picture instead of the CRM snapshot.
Attio deals, lists and activities joined to Stripe revenue and product-usage data.
Let Attio records drive the rest of the go-to-market stack instead of polling it.
Put your Attio history behind AI that knows the playbook, not just the prompt.
Internal tools sales ops ask for that Attio's in-app lists do not quite cover.
A list of concrete reports, automations and AI features we have built on Attio data. Pick the one that matches your situation.
Which deals turned into subscriptions that are still paying?
Attio closed-won deals matched to the Stripe subscription they produced, tracked past first payment to month three, six and twelve. Separates the deals that closed on paper from the ones that fund the company a year later, and ranks reps and segments on the second number rather than the first.
Which custom attributes can we trust?
Every custom attribute in the Attio workspace counted for fill rate, staleness and how often a human overwrites the AI-filled value. Sales ops sees which fields the team uses and which drift out of sync, before a dashboard quietly relies on one that stopped being maintained.
Which accounts show expansion signal this quarter?
Existing customers ranked on product usage, open deal value in Attio and support conversation mix from Intercom. Account owners see which customers are ready for the upsell conversation and which went quiet months ago, without combing through lists by hand.
Closed-won ARR in Attio reconciled against Stripe MRR, with churn and contraction visible on the same line. Board reporting moves from bookings on a slide to paid revenue on a dashboard, so the narrative stops changing between the deal close and the investor update.
Pipeline velocity, win rate and activity mix per rep, next to the paid ARR the wins produced. Coaching conversations move from gut feel to the specific stage or list-playbook where a rep loses time.
Custom-attribute fill rate, list hygiene and AI-agent write audits on one dashboard. Data-quality work is prioritised by which fields downstream dashboards depend on, not by which fields happen to be blank.
Closed-won Attio deals are joined to the Stripe subscription they produced on customer email, metadata and invoice reference. First charge, upgrade, downgrade and churn events flow back as attributes on the company and deal, so commission, revenue recognition and board ARR all read the same number.
Stage moves, stalled deals and high-value list additions in Attio push a scoped Slack message to the deal owner, the segment channel or the deal-review channel. Managers stop relying on a daily pipeline export and reps get the nudge on the deal that needs attention this afternoon, not next Monday.
Gong call summaries, risk flags and next-step captures land on the Attio deal and parent company through the shared account and contact. The pipeline review is held against call evidence, not rep self-assessment, and deals drifting without a scheduled next step surface before the quarter slips.
Open Intercom conversations, ticket mix and rolling response time show up as attributes on the matching Attio company. A renewal or expansion conversation never starts while three angry threads are open in support, and CSM owners see the health signal next to the deal value.
These are the 10 tables we currently pull from Attio into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Attio 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.
Both. People, Companies, Deals, Users, Workspaces, Lists, Notes and Tasks land with their full standard attribute set. Custom objects and custom attributes are read from the same API and land as first-class tables and columns. Renames and schema changes in Attio are picked up on the next sync so reports do not lose history the day a workspace admin reshapes a field.
Attributes the research and enrichment agents write are pulled like any other. We stamp each warehouse row with the source, the timestamp and whether a human has touched the field since, so AI-only data can be held to a different confidence threshold in reports and in automations that write back to other systems.
We review your Attio setup and the systems around it. Together we pick the first thing worth building.