The AI-native data platform
One AI-powered platform replaces your fragmented warehouses, ETL tools, BI, and custom apps — and imports your Alteryx workflows in a single click.
Connect, model, allocate, and publish — on one governed platform.
Trusted by finance teams at leading organizations
Pick a category to see what to evaluate, what PlaidCloud replaces, and how long it takes.
One-click import of your .yxmd workflows and .yxdb data — then the whole platform.
What to evaluate · Typical migration: 4–6 weeks
What to evaluate · Typical migration: 4–6 weeks
What to evaluate · Typical migration: 4–6 weeks
What to evaluate · Typical migration: 4–6 weeks
What to evaluate · Live in weeks, not quarters
What to evaluate · Live in weeks, not quarters
What to evaluate · Live in weeks, not quarters
What to evaluate · Live in weeks, not quarters
What to evaluate · Live in weeks, not quarters
What to evaluate · Live in weeks, not quarters
What to evaluate · Live in weeks, not quarters
How it works
Connect, model, and deploy on one platform — no black boxes, no lock-in.
ERPs, CRMs, warehouses, and files — 140+ connectors plus a unified REST step. Ingest financial and transactional data without a rebuild.
Pre-built standard steps sanitize, organize, and align data from multiple sources, with AI-assisted low-code transformation doing the heavy lifting.
Assign costs from sources to targets using real driver data, with activity mapping and a full traceback on every allocated number.
Describe what you need through your tenant’s MCP server. PlaidCloud builds and deploys it, and answers “what moved margin?” with attributed root cause.
Schedule runs, publish Apache Superset dashboards, and share governed results across the business under your existing roles and permissions.
Why teams switch
Most stacks make you pick two. PlaidCloud refuses the trade-off.
Your own open Iceberg lakehouse, a visual and AI workflow canvas, enterprise dashboards, and deployable AI apps — in one place, with no black boxes and no lock-in.
Better
One platform, end to end
Most finance teams still calculate profitability using spreadsheets built on top of ERP exports. This creates hidden cost allocations, slow reporting cycles, and limited visibility into margin.
One platform, end to end
PlaidCloud ships the whole stack: connect, model, visualize, and build & deploy AI apps on one governed platform.
Your own open Iceberg lakehouse with table time-travel, snapshots, and compare/merge — open standards, no vendor lock-in.
A drag-and-drop DAG designer with live run status and real-time collaboration — low-code, no-code, or driven by AI.
Interactive dashboards built on Apache Superset, straight on your modeled data — no separate BI tool to license.
Describe the app to your AI via the per-tenant MCP server; PlaidCloud builds and serves it on your own data and security.
ERPs, databases, files, and a unified REST step — plus one-click import of your Alteryx workflows and data.
Roles, permissions, and traceable lineage across every step, with SQL and Python escape hatches when you want them.
Proof
See how finance teams uncover hidden profitability and improve financial decision-making.
Global manufacturer replaced spreadsheet-based models with automated profitability insights.
Distribution company uncovered hidden cost drivers across customer and product segments.
Finance teams moved from spreadsheet models to transparent profitability analytics.
Book a migration assessment
See how teams build data apps and dashboards, model true profitability, and replace Alteryx in one click — all on one AI-native platform. We’ll come back with a side-by-side TCO view.
PlaidCloud covers the whole data and profitability stack.