bench.log — open beta

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LogBench turns your warehouse into a teammate on call — ask in plain English, get the query, the chart, and the next move, in seconds.

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workbench.log

Asked

Which regions grew fastest last quarter?

Generated query · 184ms

select region, sum(revenue) as total
from warehouse.revenue
where quarter = '2025-Q3'
group by region order by total desc

Revenue growth by region · QoQ

LATAM +38%
NA
EU
APAC
LATAM
MEA

Live log

  • 14:02:01✓parsed intent → aggregate, group_by:region
  • 14:02:01✓resolved schema → warehouse.revenue
  • 14:02:02✓generated SQL → 1 join, 2 filters
  • 14:02:02✓read-only credentials verified
  • 14:02:02✓query executed in 184ms
  • 14:02:02✓12,847 rows → aggregated to 6
  • 14:02:03✓chart type selected → grouped bar
  • 14:02:03✓explanation drafted → 2 sentences
  • 14:02:04!anomaly flagged → LATAM +38% QoQ
  • 14:02:04✓pinned to Q3 revenue review
  • 14:02:01✓parsed intent → aggregate, group_by:region
  • 14:02:01✓resolved schema → warehouse.revenue
  • 14:02:02✓generated SQL → 1 join, 2 filters
  • 14:02:02✓read-only credentials verified
  • 14:02:02✓query executed in 184ms
  • 14:02:02✓12,847 rows → aggregated to 6
  • 14:02:03✓chart type selected → grouped bar
  • 14:02:03✓explanation drafted → 2 sentences
  • 14:02:04!anomaly flagged → LATAM +38% QoQ
  • 14:02:04✓pinned to Q3 revenue review

Trusted by data teams at

  • NORTHWELL
  • PALEO&CO
  • STRATA
  • KEEPWELL
  • ORBITAL
  • GRANARY
  • FERNBANK

How it works

Every angle of your data, in one workspace.

Connect your warehouse, ask in plain English, and ship dashboards your team will actually open.

workbench — conversational ai
Why did LATAM revenue spike this quarter?

searched revenue_by_region, support_tickets_daily

revenue_by_regionqueryPostgres
LATAM +38%

LATAM grew 38% quarter-over-quarter, driven by three factors:

  • Three enterprise contracts closed through the São Paulo hub
  • Currency tailwind added roughly 4 points to reported growth
  • Renewal rate in-region hit 96%, the highest of any region
Draft exec summaryCompare to EMEAPin to dashboard
Ask anything about your data…

How it works

Everything on the bench, in one workspace.

Real-time queries, the AI that explains them, and the automations that ship the answer — LogBench is more than a chart generator.

Ask in plain English

Type the question the way you'd ask a colleague. LogBench resolves your schema and writes the query behind it.

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Explain the chart

Every result ships with a one-sentence takeaway, so execs read the number and the meaning together.

Automations

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Connect anywhere

Postgres, Snowflake, BigQuery, MySQL, or a CSV. Read-only credentials, answers in minutes.

Every query logged

A full audit trail of who asked what, the SQL it ran, and who it was shared with.

Plug into your stack

Fits where your team already works.

Toggle the tools you use and LogBench routes answers straight there — a chart in a doc, a number in a channel, a row in a sheet. No new tab to remember.

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    Postgres, Snowflake, BigQuery, or MySQL — read-only.

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  • Webhook

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  • Spreadsheet

    Export any result as a clean, versioned CSV.

Data automations

Route every metric to exactly the right place.

Chain triggers, conditions, and connected tools. Watch each branch update in real time as data flows through the pipeline.

  1. Step 1

    Trigger

    Revenue table updates

  2. Step 2

    Branch by severity

    Route on % delta

  3. Step 3

    Alert #revenue-ops

    Post chart + summary

83

Completed

0

Failed

18s

Avg. runtime

Recent runs

  • #84Completed just now14 steps
  • #83Completed 2 min ago11 steps
  • #82Completed 3 min ago11 steps
  • #81Completed 5 min ago16 steps

Why teams switch

Plain English over SQL, charts over CSV exports.

Spreadsheets
LogBench
SQL editors
Ask a question in plain English
Chart picked automatically
Numbers update on their own
SQL you can read and verify
No semantic model to maintain
Shareable, versioned results

Loved by teams that ship fast

From two-person teams to data orgs of two hundred.

“Our ops team used to file a ticket for every number. Now they ask LogBench in plain English and the query it writes is clean enough that the data team trusts it too.”

DW

Dana Whitfield

Head of Ops · Northwell

“We tried two BI tools that both needed someone to maintain a semantic model. LogBench just reads the warehouse — our investors ask 'what's MRR by cohort' in Slack and get a chart back.”

MA

Marco Adeyemi

Founder · Strata

“I keep double-checking the dashboards because they just quietly stay current. LogBench drafts the query, the chart, and the right visualization in one pass.”

PN

Priya Nandakumar

Eng Lead · Keepwell

“Most BI tools produce charts you'd never put in front of a customer. LogBench's defaults are clean enough to drop straight into a deck.”

OC

Owen Castellanos

Design Lead · Fernbank

“Half my job used to be ad-hoc data requests. Now the team asks LogBench directly and gets the SQL attached, in case anyone wants to verify it.”

AF

Aiko Fujimori

CS Lead · Orbital

“We dropped three internal tools and a homegrown chatbot nobody finished. Onboarding took about an hour and nobody has asked for the old stack back.”

IM

Isaac Meron

CTO · Granary

Pricing

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FAQ

Everything you need to know.

LogBench is an AI-powered data workspace that lets teams query databases, build dashboards, and share insights in plain English — no SQL required. Connect your warehouse and start asking questions in minutes.
Postgres, Snowflake, BigQuery, MySQL, and CSV uploads out of the box, using read-only credentials you control.
Yes — every answer ships with the exact query behind it, so analysts can review or edit it before anyone relies on the number.
Only the schema and the question are used to generate a query. Row-level data stays in your warehouse and is never used to train a model.
Yes — colors, logo, and chart defaults can be set per workspace on the Growth plan and above.
Reach the team from inside the app, or email support — most requests get a first response within a business day.