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Oogwai

Oogwai builds AI products that sit on top of business data and answer questions in plain English. Connect Google Analytics, Google Ads, Meta Ads, Shopify, YouTube Analytics or Tally, then ask about ROAS, conversion rate, retention or receivables. Every answer returns the figure, the chart and the source it came from, so marketing, e-commerce and finance teams can audit the working instead of rebuilding spreadsheets.

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What is Oogwai?

Oogwai is a data and analytics product company that builds AI systems which read business data and answer questions about it in ordinary language. Instead of shipping another dashboard builder, Oogwai connects to the places where performance data already lives, learns the schema and the metric definitions in your specific account, and turns a typed question into a query against the real records.

The company runs four product lines around that single idea. Oogwai Analytics, presented in-product as Compass, covers marketing and e-commerce reporting: blended ROAS by channel, conversion rate trends, retention, audience overlap and creative fatigue, plus automated diagnostics that surface budget leakage and targeting overlap before month end. Oogwai for YouTube handles channel intelligence for creators and multi-channel operators, covering retention curves, title and thumbnail performance, publishing cadence, topic gaps and competitor benchmarks. Prism Books brings finance intelligence to businesses running on Tally, so a bill sent over WhatsApp lands as a voucher and a question about receivables returns a number. Custom enterprise AI builds take the same pattern onto a customer's own warehouse, documents and internal APIs, delivered as a running product deployed inside their cloud.

Every answer shows its source, filters and date window, so a figure can be checked rather than trusted blindly, and the system declines when the connected data cannot support the question. Beyond answering on request, it runs scheduled diagnostics and pushes findings — campaigns sitting below break-even, audiences that overlap, creatives whose frequency is climbing while click-through falls — into the product, an inbox or a Slack channel, so the weekly reporting ritual becomes a review rather than a rebuild. The company is also explicit about what it is not: not a modelling platform, not a warehouse, and not another dashboard vendor. There is no SQL editor to learn, no semantic layer to maintain above the source systems and no implementation project standing between signup and the first answer, which is why the free tier is meant to be tested on live data rather than a demo dataset. Access is read-only by default, scoped per connection and revocable at any time. Setup is an OAuth handshake rather than an implementation project, and the company says most accounts ask their first question within ten minutes.

Oogwai is built in Dubai and Bengaluru by a small team of founders, engineers, testers and designers, and sells to customers worldwide with its strongest presence in India, the Gulf and Southeast Asia. A free plan at $0 covers four integrations and thirty monthly queries, Growth is $30 per month or $20 per month billed annually, and enterprise work is quoted per engagement.

Oogwai AI For Data Analytics product interface screenshot

Oogwai Core Features

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Ask Oogwai

A natural-language query layer over every connected source that returns the figure, the trend and the window it was calculated on, with the source and filter exposed so the number can be audited.

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Prompt-backed widgets

Pin any answer to a dashboard; the widget keeps the original prompt and re-runs against fresh data instead of freezing a screenshot.

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Ad spend diagnostics

Continuous checks for targeting overlap, creative fatigue and budget leakage, surfaced as findings rather than buried in a table.

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Blended ROAS and margin view

Combine ad platform spend with storefront revenue to see return by campaign, channel, product and geography.

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Alerts and monitoring

Hourly or daily checks on chosen metrics with notifications in-product, by email or straight into a Slack channel.

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Scheduled reports and workspaces

Repeat the same answer for the same people automatically, with separate workspaces for each brand, client or business unit.

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YouTube channel intelligence

Retention curves, title and thumbnail performance, publishing cadence, topic gaps and competitor benchmarks in one view.

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Prism Books finance automation

A bill sent over WhatsApp is read and filed in Tally as a voucher, with receivables and Schedule III reporting answerable in plain English.

Who is Oogwai for?

Oogwai is aimed at teams that already have more data than they can use but no cheap way to query it — the people who spend Friday afternoons rebuilding the same pull instead of acting on it. The product assumes no SQL and no report-builder training, so its audience is operational rather than technical, and the four product lines let different departments start from the same habit of asking a question. - **Performance marketers and ad-ops teams** who need to find waste inside campaign spend, compare blended ROAS across channels and catch creative fatigue before it eats a quarter. - **E-commerce and growth teams** tracking conversion rate, repeat purchase rate, retention and product margin, typically blending Shopify revenue with Meta and Google spend. - **Marketing agencies and multi-client operators** who need separate workspaces per brand, recurring client reports and dashboard widgets that refresh instead of freezing a snapshot. - **Finance and accounting teams running on Tally** who want bills captured from WhatsApp, receivables answers on demand and group consolidation without rebuilding the workbook monthly. - **YouTube creators and content teams** who want retention curves, title and thumbnail performance, publishing cadence and competitor benchmarks read in one place rather than across studio tabs. - **Enterprise operations and data teams** that have a warehouse and internal systems but no natural-language layer over them, and want a turnkey build deployed in their own cloud. - **Founders and small-business owners** who own the numbers themselves and cannot justify a dedicated analyst for thirty questions a month. The buyer is often not the analyst but the person accountable for the number: a growth lead, a founder, a finance controller or an agency account manager who needs to answer a client question during the call rather than after it. Teams that already run a mature warehouse with an in-house BI function are the weakest fit, because much of the value here is skipping that build entirely. The common thread is a team that needs an answer this afternoon, not a modelling project: someone who can sign in with OAuth, grant read-only access and type the question the way they would ask a colleague.

Oogwai Use Cases

Find which campaigns spent over budget and returned under 1x last quarter.

Compare blended ROAS by channel for the previous month against the one before.

Spot creatives with rising frequency and falling click-through rate before fatigue spreads.

Track daily conversion rate for organic search sessions on the online store.

Identify products that drive the most repeat purchases and where retention is slipping.

Send a supplier bill from WhatsApp and have it land in Tally as a voucher.

Answer how much of receivables sits past ninety days without opening the ledger.

Benchmark a YouTube channel's publishing cadence and topic gaps against competitors.

Oogwai Pros and Cons

Pros

  • A genuinely free plan: $0 with four integrations, thirty monthly queries and no credit card, so the product can be tested on real data before any spend.
  • Answers carry their source, filters and date window, which makes a number checkable instead of a black box — useful for finance and client reporting.
  • Read-only, scoped and revocable OAuth connections with an explicit statement that customer data is not used to train shared models.
  • Setup needs no data modelling or engineering time; the company claims a first question within ten minutes for standard connectors.
  • Four product lines on one pattern — marketing, YouTube, Tally finance and custom enterprise builds — so a team can extend the same habit across departments.

Cons

  • Query caps are tight for heavy users: thirty questions a month on Free and three hundred on Growth, which a large ad-ops team could exhaust in a week.
  • Free history is limited to thirty days, so year-on-year questions require the Growth plan or above.
  • Prism Books, YouTube premium and enterprise builds have no published rate card; pricing only comes from a sales conversation, and no public developer API or documentation portal was visible on the site.

FAQ About Oogwai

Oogwai Pricing

FreemiumFrom USD 0.00

Free is $0/month with 30 queries, 4 integrations and 30 days of history. Growth is $30/month, or $20/month billed annually ($240/year, about 33% off). Enterprise, Prism Books and YouTube premium are quoted per engagement.

Check official pricing

Enterprise

Quotedper engagement

Custom data sources and pipelines, deployment in your own cloud, SSO and role-based access control, security review and DPA, custom AI builds, and a named support contact with an SLA.

Prism Books

Quotedper engagement

Finance intelligence for Tally users, quoted on entity count, transaction volume and how much of the payables and reporting workflow is in scope. Setup includes mapping to your Tally structure.

Oogwai for YouTube Premium

Quotedper channel tier

Standard access covers one channel with core analysis and recommendations; the premium tier adds multi-channel management, competitor benchmarking, deeper history and data export.

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