Customer revenue portal
Revenue$250KSeptember 2026 · Sample
Understand the revenue mix across markets.
Explore dashboard
AI native · For Software companies who ship
Make your product
Make your product
AI native with data.
Give customers a natural-language path from their business data to useful answers and dashboards. Explore twelve customer-facing examples, then choose how to embed the experience.
app.yourproduct.com / orders
Your product · powered by tableArth.ai
AskDashboard
YR
Which customers are at risk of churn this quarter?
tA
12 customers are flagged. Top risk:
3 enterprise accounts with usage drops >40% MoM.
AI native analytics · Dashboard libraryOne connection.
One connection.
Twelve ways to see more.
Start with a business question.
Open a dashboard. See the value in your data.
Illustrative dashboards using fictional September 2026 data. Available analyses depend on the fields in your source.
Merchant fulfillment portal
Orders dispatched19.9KSeptember 2026 · Sample
Put fulfillment workload and timeliness in context.
Explore dashboardSubscription customer portal
Subscription revenue$188KSeptember 2026 · Sample
Focus subscription reviews on the plans that matter.
Explore dashboardPayments reporting portal
Processed value$429.8KSeptember 2026 · Sample
Understand payment activity before reviewing costs.
Explore dashboardInventory customer portal
Units moved49.3KSeptember 2026 · Sample
Review the product categories driving warehouse work.
Explore dashboardService desk portal
Tickets created13.3KSeptember 2026 · Sample
Plan support capacity around actual workload.
Explore dashboardProduct usage portal
Product events4.1MSeptember 2026 · Sample
Explore the behaviors behind product engagement.
Explore dashboardDeveloper usage portal
API requests7MSeptember 2026 · Sample
Direct reliability reviews toward heavily used endpoints.
Explore dashboardSupplier reporting portal
Purchase value$254.2KSeptember 2026 · Sample
Understand purchasing concentration.
Explore dashboardBooking partner portal
Booking value$231.2KSeptember 2026 · Sample
Review your booking mix before adjusting channel plans.
Explore dashboardCustomer adoption portal
Feature sessions287.1KSeptember 2026 · Sample
Identify workflows to investigate for product improvements.
Explore dashboardTransaction reporting portal
Transactions189.2KSeptember 2026 · Sample
Understand operational throughput and activity peaks.
Explore dashboardEvery preview opens a full dashboardTake the question into your AI tools
Why software teams pick us
Built around how your product actually ships.
Ships in days, not quarters
Two lines of code for the widget. A REST call for custom UI. No new infra, no new data pipeline.
Plugs into your auth
Tenant boundaries respected. User identity passed through. Same access rules as your product.
White-labelable
Ships on your domain, your theme, your brand. Your users see your product — not ours.
Plan-tier ready
Cap usage per plan tier or per customer. Make it a paid upsell, a retention lever, or both.
Cuts churn from “where’s the AI?”
Close the gap on AI-native rivals without a 12-month build. Ship the AI story this quarter.
Enterprise-ready privacy
Four modes from Full AI to Local template. Per-customer policy overrides. Audit and BYO LLM on enterprise.
The build-vs-buy math
Build it yourself? Or ship next sprint.
~12 months
- Q1Hire 2 ML + 1 data eng
- Q1Pick LLM provider, manage keys
- Q2Build SQL gen, chart picker, streaming
- Q3Privacy modes for enterprise customers
- Q4Cost controls, usage analytics, audit
VS
~1 week to GA
- Day 0API key issued
- Day 1Widget embedded in staging
- Day 3Privacy mode + auth wired
- Day 5Plan-tier caps configured
- Day 7Ship to GA. Move on.
Also for enterprise IT
Internal portals get the same layer.
Internal portals and reports get the same instant-answer surface — with on-prem and privacy modes built in. Run as widget, REST API, or Chrome extension.
- → Privacy modes from full AI to fully local
- → Audit, masking, and access control included
- → Chrome extension policy for IT-managed installs
Run it where regulations live.
For BFSI, healthcare, and public sector, pick the local template mode and route through your BYO LLM key. Zero external API calls, full audit trail, deployable in your tenancy.
FAQ
Questions software teams ask.
How long does it take to add AI analytics to our product?
The widget is two lines of code: load the script and point a <table-ai> element at the table you want to make AI-smart. Most teams have a first dataset live in a day. The REST API takes a little longer because you build the UI, and the Chrome extension is an install with no host changes at all.
Do we have to rebuild our data pipeline or move our data?
No. tableArth.ai reads the tables and reports you already have. There is no new data warehouse, no ETL, and no data migration — you point it at an existing table and it generates and runs SQL against your data to answer questions.
Can we white-label it as our own feature?
Yes. The widget ships on your domain, your theme, and your brand, themeable via CSS variables. Your users see an AI feature inside your product — not a third-party tool.
How does it handle multi-tenant data isolation?
tableArth.ai plugs into your existing auth and passes through customer and user identity, so the same tenant boundaries and access rules your product already enforces apply to every question. You can also set a different privacy mode per customer or per table.
Can we charge customers for it or gate it by plan tier?
Yes. You can cap usage per plan tier or per customer and make AI analytics a paid upsell, a retention lever, or both. Budget controls let you set hard caps, soft alerts, or pay-as-you-go at the widget, API, customer, or user level.
Should we build embedded analytics in-house or buy tableArth.ai?
Building natural-language analytics in-house means SQL generation, chart selection, streaming, privacy controls, and cost governance — typically a multi-quarter effort to reach production quality. tableArth.ai gives you that layer now so you ship the AI story this quarter instead of next year. See our build vs. buy breakdown for the full trade-off.
For Software teams
Make your tables AI-smart this sprint.
We’ll scope a one-week integration plan with you and ship to one dataset first.
AI native by design · MCP previewYour data.
Your data.
Your AI workspace.
Keep the conversation where you work. MCP brings authorized tableArth workbooks into compatible clients such as Claude, ChatGPT, and Cursor.
From Tally and spreadsheets to databases, cloud bills, and ad reports: connect the source once, then explore its workbook context through the tools you choose.
Ask your dataExplore dashboardsCreate new views
Explore MCP access Staged preview. Availability depends on your client, deployment, and plan. Creating or updating dashboards requires write permission.
One workbook. More ways to work.MCP
Your connected dataOne authorized workbook
Imagine asking in ClaudeExample
“Explore my workbook, explain what changed, and help me build a dashboard for the next review.”
Workbook context → governed analysis → a dashboard you can return to.