Bring the questions you would not trust an AI with.

Freeze 10 real questions from one bounded domain. Compare your current path and Spotonix using the same reviewer and rubric—including the human verification, retries, interventions, and failures each path requires.

Start with a fit check

Where should we follow up?

We will confirm the domain, data route, reviewer, baseline, and decision path before the Pilot starts.

This is a scoped comparison, not instant access to a sample-data demo. The two-week clock starts only after the environment is data-ready.

If both proof lanes are full, we will say so and place qualified requests on the next available start date.

Enough reality to make
the comparison meaningful.

The Pilot is deliberately demanding. If the questions, current baseline, or reviewer are missing, the evidence cannot support a decision.

01

10 frozen questions

Real questions from one business domain, chosen before Spotonix runs.

02

One bounded data slice

A focused set of relevant tables or an equivalent modeled slice.

03

Your current path

The report, query, agent, workflow, or expert process—including human verification and repair.

04

The person who decides

A named domain reviewer who defines the expected disposition and scores every question.

Data-ready means: a permitted access path, one bounded domain, working credentials, a supported model or YAML/SQL reference, and frozen questions, reviewer, and rubric.

The same questions
through both paths.

The current path keeps every human check and repair it needs today. Spotonix does not get an easier question set, a different reviewer, or a different definition of success.

Path A · Baseline

Your current path

The tools and people your team relies on today—including the work required to decide whether the answer is safe to use.

  1. 01

    QuestionThe frozen business question

  2. 02

    Drafts + handoffsTools, queries, reports, and people

  3. 03

    Human verification + repairCheck meaning, source, logic, and exceptions

  4. 04

    Reviewer decisionUse, clarify, refuse, repair, or fail

Human trust work is part of the baseline, not invisible overhead.

Path B · Spotonix

Inspectable product path

Run the identical set without changing the reviewer, expected disposition, or what counts as right.

  1. 01

    QuestionThe identical frozen question

  2. 02

    Interpret + show the planAsk where company meaning is missing

  3. 03

    Logic + sourcesExpose the basis and supporting artifacts

  4. 04

    Reviewer decisionUse, clarify, refuse, repair, or fail

The product exposes the path; the agreed rubric determines whether it helped.

Same questions · Same reviewer · Same rubric

InterpretationRetriesExpert workTime to defensible answerReviewer dispositionEvery failure

Question-level evidence.
Not a winning screenshot.

For each question, inspect the interpretation, row-level concept origins, analytical plan, generated logic or SQL when present, sources, result artifacts, and reviewer disposition.

Illustrative Pilot artifact Plan before execution
You asked

What is our revenue this quarter?

Interpretation

revenue

Recognized subscription revenue, net of refunds and credits.

Defined by your team

Analytical plan

Calculation
Recognized revenueDefined by your team
Calendar
Fiscal quarterFound in your model
Scope
All product linesFound in your model
Grain
Single valueAssembled by Spotonix
01

Read the interpretation and plan. Missing meaning is visible before the analysis runs.

02

Inspect the basis of the result. The answer does not have to hide behind a chat response.

Analytical planGenerated SQLSource bindingsReviewer disposition

Illustrative product view—not customer data and not a claimed Pilot result. The reviewer decides whether the interpretation and result are useful, need clarification, require repair, or fail.

A short proof.
A real decision.

00

30-minute fit call

Confirm the test is possible.

Align the initiative, buyer, domain, data authority, baseline, reviewer, security route, and next decision.

01

Before Day 1

Make the domain data-ready.

Confirm a permitted access path, credentials, the bounded domain, supported model or semantic reference, frozen questions, reviewer, and rubric.

02

Two weeks

Run and record both paths.

Capture interpretations, answers, clarifications, retries, human interventions, review, repair, and every failure.

03

Evidence readout

Choose go, fix-and-retest, or stop.

Review the scorecard, evidence pack, effort log, gap map, limitations, and recommended next step.

The Pilot does not have to produce a win to produce useful evidence.

Talk to us firstSee how it works

We built the catalogs and engines
this problem sits on.

Venkatesh Seetharam

Venkatesh Seetharam

Co-founder & CEO

Co-created Apache Atlas, the first open-source data catalog; created Apache Falcon; built data-platform teams at Yahoo! and Hortonworks.

Harish Butani

Harish Butani

Co-founder & CTO

Built four BI engines, including OLAP on Spark (SparklineData, acquired by Oracle); core contributions to SAP HANA's MDX engine, Apache Hive and Oracle IFS.

Advised by Bob Muglia, former CEO of Snowflake and former President of Microsoft's Server & Tools Business. Backed by 8VC, Tokyo Black and Webb Investment Network.