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.
For Software companies who ship
Skip the 12 months of building AI analytics.
Every B2B software product has tables and reports. Plug tableArth.ai into yours — your users get AI analytics inside your product, and you ship a year of work in a week.
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.
Why software teams pick us
Built around how your product actually ships.
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.