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AI-powered analytics for
all your data

From a single spreadsheet to your company's entire data ecosystem, give everyone access to trusted, modern data tools.

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Self-service data analysis and reports as easy as...

Ask questions in plain English

No SQL, no query builder. Just describe what you want to see.

Smart chart formatting

Dashbud selects an appropriate visualization, handles multiple series and axes, and keeps legends readable.

Refine in conversation

Break it down further, add dimensions, change the view — iterate.

Interactive controls

Parametrize any dimension and your report becomes a live, filterable tool.

Save and reuse

Save any result as a report. Build a library your whole team can use.

Build dashboards

Add saved reports to a dashboard. Drag, drop, and arrange.

Share with your team

Live, interactive dashboards for stakeholders who never need to write a query.

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Primrose Home
Live

Show me quarterly profits by channel for the last three years.

AD
Dashbud

Quaterly profits by sales channel, calculated by subtracting unit cost from unit price and multiplying by quantity, aggregated by sales channel and quarter.

Break that down by region. Parametrize region so I can filter.

AD
Dashbud

Here's the regional breakdown with an interactive filter. The Northeast leads in wholesale, while DTC is strongest in the Southeast — though note the Southeast DTC dip in early 2025:

Region
Ask a question about your data...
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Primrose Home / Dashboards

Sales Overview

Add
Total Revenue (YTD)
$8.4M
Year to Date
+22% vs last period
DTC Growth
25%
YoY Growth Rate
+3pts vs last period
Active Accounts
847
Wholesale + DTC
+12% vs last period
Revenue by Channel (Quarterly)
Top Wholesale Accounts
[Top 10 accounts — table]
DTC Orders by Region
Region

Connect Any Data Source

Upload spreadsheets, connect directly to databases, or sync from cloud sources like Google Sheets. No data warehouse required.

Dashbud's smart data loading handles formats automatically — type casting, date parsing, currency formatting — so your data is clean and queryable from the start. Every import is versioned and can be rolled back.

No data lake. No ETL pipeline. No migration project. Just connect what you have and start working.

Works with: CSV and Excel file uploads, Google Sheets, PostgreSQL, SQL Server, MySQL, Oracle, Redshift, and more.

app.getdashbud.com

orders_2024.csv

14,832 rows • 7 columns

Re-infer types
Skip order_idorder_dateship_datecustomerchannelamountstatus
Integer
Timestamp
Timestamp
Text
Text
Text
Text
Numeric
Text
All amounts in USD. Updated 2024-01-31.
10441 2024-01-03 2024-01-07 Ridgeline Outfitters Wholesale $12,480 Shipped
10442 2024-01-03 2024-01-05 Emily Chen DTC $289 Delivered
10443 2024-01-04 2024-01-09 Summit & Co Wholesale $8,750 Shipped
10444 2024-01-04 null Jake Morrison DTC $145 Processing
10445 2024-01-05 2024-01-08 Basecamp Supply Wholesale $22,100 Shipped
10446 2024-01-05 2024-01-07 Maria Santos DTC $412 Delivered
Showing first 7 rows of 14,832

Model Your Data Through Conversation

Set up a Semantic Model by telling Dashbud about your data in plain language. No code, no configuration files, no query language.

Tell Dashbud what your columns mean, how your tables relate, and what the business rules are. The AI asks questions, you answer them. Your semantic model becomes the foundation for every query — grounding the AI in your business context.

Model once, then clone and customize for different teams or projects. Your sales team gets their view. Finance gets theirs. Each workspace carries only the context it needs — no clutter, no confusion.

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Primrose Home / Semantic Model

This database is centered around a retail business — products, orders, customers, and sales_reps across regions. I see some low-cardinality columns I'd like to inspect — channel in both customers and orders, and category name.

Go ahead and inspect all of those. Also, "DTC" in the channel column means direct-to-consumer.

AD

I've inspected the columns and set descriptions. The channel column has 3 values: WholesaleDTCMarketplace

Would you want to include sales_reps in the model, or exclude it?

If I excluded sales_reps, I could still group by rep ID in orders — but the names wouldn't show up, right?

AD

Correct — you'd still be able to group by sales_rep_id in orders, but the names wouldn't be accessible without the join. I'd recommend keeping it.

Keep it. And annotate that table — we sometimes call our sales reps "warriors" internally.

AD

Done — I've noted that sales reps may be referred to as "warriors." Now users can ask about "warrior performance" and I'll know to look at the sales_reps table.

Tell Dashbud about your data...

Ask Questions, Get Answers

Type a question in plain English and get back tables, charts, and insights — grounded in your semantic model, accurate every time.

Dashbud's Data Explorer writes the query, then produces a deterministic report — stable, accurate, and repeatable. Smart chart formatting automatically picks the right visualization, handles time series, and keeps legends readable.

Need interactive controls? Just ask Dashbud to parametrize any dimension — region, product line, date range — and your report becomes a live tool your team can use without touching a query.

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Primrose Home

Please show me monthly DTC profits by region.

AD
Dashbud

Total profit for each region on a monthly basis, computed as the difference between unit price and unit cost for all items ordered through the DTC channel, grouped by region and month.

Ask a question about your data...

The Right Tools for Every Role

Some users build. Some users explore. Some users review dashboards and reports. Data analyst, ops specialist, CEO: Dashbud gives all your users the access they need and the functionality they want.

Your data team models the data once. From there, clone workspaces for different functions — sales sees their pipeline, ops sees fulfillment, finance sees margins. Each team gets only the context they need, and the AI stays focused on their domain.

Control access at every level: who sees which data sources, which workspaces, which dashboards. From a single shared data foundation, everyone gets the right view.

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Primrose Home / Team Access
Invite
Admin
Editor
Viewer
Name Title Workspaces Shared Dashboards
AC
Chen, Alex
CRO
Sales Marketing
Exec Overview Pipeline
MD
Delgado, Maria
Dir. Audience Dev
Marketing DTC Analytics
DTC Weekly
RF
Franklin, Ros
CFO
Finance Sales Ops
Exec Overview P&L Monthly
TH
Hayes, Tom
Data Scientist
Sales Marketing Finance Ops
Exec Overview Pipeline DTC Weekly
PK
Kovac, Petra
Revenue Analyst
Sales Finance
Pipeline
NO
Okafor, Nneka
VP Operations
Ops Warehouse Finance
Exec Overview Warehouse Daily
JP
Park, James
Marketing Analyst
Marketing
DTC Weekly
ST
Torres, Sofia
CEO
Sales Finance Ops
Exec Overview

Connect to all your data

Dashbud connects directly to databases like PostgreSQL, SQL Server, and Oracle, and to cloud warehouses like Snowflake, BigQuery, and Redshift. Import spreadsheets, connect Google Sheets or Airtable, or upload CSV and Excel files.

For business systems like SAP, Infor, and Epic, Dashbud connects directly to the underlying database or provides automated import workflows, and Dashbud supports hundreds of other platforms via API, database, or file export.

PostgreSQL
PostgreSQL
MySQL
MySQL
SQL Server
SQL Server
Oracle
Oracle
Amazon Redshift
Amazon Redshift
Snowflake
Snowflake
Google BigQuery
Google BigQuery
Google Sheets
Google Sheets
Airtable
Airtable
CSV
CSV
Excel
Excel

Bring your own AI.
Keep your guardrails.

Dashbud's API is built for AI agents. Point Claude, ChatGPT, or your own agent at a Dashbud workspace, and it can explore your data, run real analysis, and explain its work. It sees only what the workspace permits: governed query results, with your business rules applied. Never the database. Never anything out of scope.

  • Scoped by workspace. An API key is tied to specific workspaces. The agent can see those sources, those tables, those columns, and nothing else.
  • Your rules, every time. Every question runs through the semantic model. "Margin" means what your team decided it means, whether a person or an agent is asking.
  • Auditable by design. Every answer comes back with the SQL that produced it. No black box between the question and the number.
AI Assistant
Our Q2 2025 gross margin came in low. Can you figure out why?
I'll check the Forge & Frame sales workspace.
Dashbud · workspace: Forge & Frame Sales
Dashbud · "Gross margin by quarter, 2024–2025"
Margin held near 42% through Q1 2025, then dropped to 37% in Q2. That's a five-point drop. Let me see whether it's broad or concentrated.
Dashbud · "Gross margin by wholesale account, Q1 vs Q2 2025"
The drop traces to Metro Restaurant Supply. Their volume jumped ~30% in Q2 at a much lower margin — consistent with a negotiated discount. The rest of the book is flat.
Is that a one-off, or do we have a bigger exposure problem?
Dashbud · "Wholesale revenue share by account, trailing 12 months"
It's both. The margin hit is one account's discount, but that account is your largest — three accounts make up 40% of wholesale. A second discount request from any of them would move the whole company's margin.
Every tool call above is a real API request. The agent asked, Dashbud ran the governed query, and the agent reasoned over the result. The guardrails are in the workspace, not in the prompt.

Built for trust. Designed for privacy.

Dashbud's agent never reads your raw data — it works from your schema and semantic model to write queries, which run against your data directly. Reports are deterministic: once generated, they don't change or drift.

Your data stays in your database (for direct connections) or in Dashbud's managed infrastructure (for uploads). Every data import is tracked with full version history.

We don't share your data with third parties (including AI platforms) and we don't use it for training.

Built with your data needs in mind

Operations & Finance Leaders

You run reports every week from systems that weren't built for reporting. Dashbud sits on top of your ERP, your database, your spreadsheets — and gives you accurate answers from clean data without the manual work.

Data-Savvy Teams

You know your data better than anyone. Dashbud lets you model that knowledge once and share it across the organization — so you stop fielding one-off requests and start enabling self-service.

Executives & Stakeholders

You need the numbers, not the process. Dashbud gives you live dashboards and reports without having to ask someone to pull them. Interactive, up to date, and trustworthy.

Start getting answers in minutes, not months.

No six-month implementation. No data warehouse to build first. No training curriculum. Connect a data source, model it through conversation, and start asking questions. Most teams are up and running in days.

From the blog

The Lost Promise of Business Intelligence

Why traditional BI hasn't delivered on its promise of data-driven decisions for everyone — and what's different now.

Get started today

Connect your data and start building reports in minutes — not months.

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