Three Birds is the Platform for BI teams that want production Power BI projects without moving data, learning a new tool, or waiting weeks for the next build. Native to Databricks, Snowflake, and your Power BI tenant.
Every analytics leader at a growing company runs into the same wall. The business asks for more dashboards. Headcount stays flat. Quality drifts. Three Birds was built so you don't have to choose.
Every business unit wants its own dashboard. Your team spends weeks on the same dimensional structures, the same KPI cards, the same Z-pattern layouts. The work is real. It also repeats.
One developer reaches for LOOKUPVALUE. The next reaches for RELATED. Margins drift. Color rules drift. Naming drifts. Every review cycle becomes a fresh argument about which pattern is right.
Before a stakeholder sees anything, an analyst has wired up the model, written the measures, laid out the canvas, and second-guessed every choice. Then revisions begin.
Three Birds installs into your cloud from the Databricks Marketplace or as a Snowflake Native App. The code lives in your tenant. Your data never leaves. Every dashboard the Platform generates reflects how your business thinks about its numbers, and gets better as the framework grows.
One click from the Databricks Marketplace or Snowflake Native Apps. The code lives in your tenant from that day forward.
Onboarding builds your logic, standards, and KPIs into the framework. The Platform becomes yours.
Framework updates arrive automatically. Every engagement makes the Platform stronger for the next dashboard.
Most AI dashboard tools generate something that looks like a dashboard. Three Birds generates a real Power BI project: deterministic DAX, a clean data model, design standards enforced from the first scaffold. Your team can open it, edit it, version it, and ship it. No black box. No rebuild. No tool to learn.
You get a complete Power BI project. Open it in Power BI Desktop. Drop it into source control. Hand it to your team. Edit measures. Adjust visuals. It is your file in your tenant, not a hosted artifact you rent.
The pipeline does not ask a language model to write your DAX. A spec compiler converts a structured dashboard specification into valid Power BI artifacts the same way every time. The same input produces the same output. That is what makes the work reviewable.
Canvas template, KPI structure, color rules, alignment, naming. The framework applies your team's standards to every dashboard automatically. No more review cycles spent arguing over LOOKUPVALUE versus RELATED.
PBIP files. Tabular Editor compatible. Microsoft Fabric ready. DAX Studio inspectable. Git-native workflow. Three Birds extends the tools your team already runs on, not a parallel platform that competes with them.
Zero-retention processing. No training on your data. No hosted middle layer that becomes a dependency. The PBIP file is yours outright the moment the pipeline finishes.
Fourteen analysis domains today. 227 KPIs. 35 ERP signatures. The library grows from real engagements with real BI teams, which means it covers the work your team actually does, not the work a product manager guessed you might do.
| Three Birds | Generic AI BI tools | BI consultancies | |
|---|---|---|---|
| Output | Production PBIP project | Hosted chart or one-off answer | Custom PBIP, hand-built |
| Lives in | Your Power BI tenant | Their hosted environment | Your Power BI tenant |
| Editable by your team | Yes, in Power BI Desktop | No, or limited to their UI | Yes, after handoff |
| Standards enforcement | Encoded in the framework | None | Manual review cycles |
| Repeatability | Same input, same output | Varies per generation | Varies per analyst |
| Time to first dashboard | Minutes, deployable | Minutes, not deployable | Weeks |
| Ongoing capacity | Continuous Platform engagement | Per-query, per-seat | Per-project, per-hour |
| User pricing | Unlimited internal users | Per-seat or per-query | Not applicable |
After onboarding, the pipeline turns a request into a production-ready Power BI project in minutes. The same speed as the generic AI tools, with an artifact your team can actually deploy, edit, and own.
Three Birds runs inside your Snowflake or Databricks workspace. Connect your tables, pick the analysis, ship the dashboard.
The Platform reads your tables in place from Snowflake or Databricks. No extracts, no copies, no middle layer. Your data never leaves your cloud.
Choose from 14 analysis domains and 227 KPIs in the framework library, or define your own analyses against your team's KPI logic.
Download the PBIP and host it in your Power BI workspace. It is your file in your tenant, ready to edit, version, and share.
The Platform's self-service tier is on its way. Today it's an early beta for individual Power BI developers who'd rather generate dashboards themselves than work through the high-touch tier. Here's what runs today and what's coming.
We ship in small, useful increments. Here's the next year, sequenced.
Sales, supply chain, finance, healthcare, education, SaaS, construction, nonprofit, and more. 227 KPIs across the library.
The pipeline scaffolds the data model, measures, layout, and canvas. You get a real Power BI project, not a screenshot.
Free during the beta. Open to any Power BI developer who wants to put it through real data.
Snowflake, BigQuery, Databricks, SQL Server, Postgres, Salesforce, NetSuite, and the rest. Your team connects once; the pipeline takes it from there.
Sharper key detection and relationship inference across tables. The model the pipeline builds matches the model your team would build by hand.
See the dashboard render in the browser as the pipeline builds it. Adjust the spec, watch the visuals update. Download the PBIP when you're ready.
Define your own KPIs. The pipeline builds against your team's standards, not just ours.
Bring your DAX patterns, segmentation rules, and calculations. Your reports speak your dialect.
Bring your colors, fonts, and canvas standards. Every dashboard ships on-brand.
Every visual answers a business question. The assistant writes action titles, sets the narrative, and frames the takeaway.
Pattern recognition, clustering, anomaly detection, forecasting. The analyses your BI tool doesn't ship with.
Plain-English revisions. Add a measure, change a visual, restructure a page.
Larger files, wider tables, longer histories. Incremental refresh and aggregations, so the pipeline keeps up with the data you actually have.
If you lead an analytics team and your backlog isn't shrinking, talk to us about the Platform. If you're an individual Power BI developer who wants the self-service tier when it opens, join the waitlist.