Accurate analytics that is cheaper, faster, and easier to maintain.

Terrabase maps your analytics knowledge, automates data workflows, and runs analytics queries cost-effectively to deliver decimal-level accuracy* at half the cost**.

terrabase
Terrabase plan with provenance: Marketplace GMV $3.19M traced to exact $3,197,642.35
Why Terrabase?

Analytics you can trust.

Accurate

Decimal-level accuracy, mapped to data you run on.

Terrabase connects your sources into a context layer and maps it to your existing deployments, so the numbers match the ones your team already trusts. Self-serve analytics at decimal-level precision in minutes, not weeks.

Learn more →
Source dashboard
Total profit
$1.12M
Total sales
$2.72M
Total qty
113K
Sales by year
What is my net sales in Q3 2025?

Your net sales in Q3 2025 were $339,287, up 31% from the previous quarter.

BI toolSnowflake
Provenance · Net salesVerified
$339,287
Metric calculation
SUM([ORDER_ITEMS].[price])
WHERE DATETRUNC('quarter', [ORDER_PURCHASE_TIMESTAMP])
= '2025 Q3'
Data source
SnowflakeConnected data source
Context grounding
Net SalesMetric

Actual OpenCart net sales value from order-item price.

Endorsed by Priya Nair
Imported from BI tool
Automate

Reports that watch themselves and take action.

Terrabase checks every report on each refresh and flags what changed. Turn any finding into a one-click action: alert a channel, open a ticket, or watch a threshold.

Learn more →
Category GrowthRefreshed 2h agoMonitored
Health & Beauty$293K
Watches Gifts$262K
Bed Bath Table$248K
Sports Leisure$231K
Computers Acc.$210K
Insight · this refreshNeeds review
▲Health & Beauty crossed into Invest+18%
▲Watches Gifts nearing the threshold+11%
▼3 categories softened to Monitor−6%
Drill downAsk a follow-up · trace to source
Suggested actionsFrom Category Growth
Post alert to #opsSlack · channelSet up →
Watch GMV vs targetMonitor · metricSet up →
Write replenishment orderERP · create recordSet up →
Cost-effective

The more you run, the cheaper every answer gets.

High costs come from tokens spent on exploration and discovery. Terrabase's self-learning context layer captures learnings per query, so new questions reuse them instead of relearning.

Learn more →
Day 0
First question after setup
New learnings
No prior runs yet
Your institutional knowledge map
LLM cost / question
Baseline
Month 1
Weekly use
New learnings
Compounded learnings from prior runs
Your institutional knowledge map
LLM cost / question
1/2 cheaper
Month 3
Daily use · compounded
New learnings
Compounded learnings from prior runs
Your institutional knowledge map
LLM cost / question
2/3 cheaper
Where each answer comes from
Your institutional knowledge map.

Definitions, relationships, and how the business works, captured once and growing as the team learns.

Compounded learnings from prior runs.

Patterns, calculations, and joins each run leaves behind for the next question to inherit.

New learnings.

Terrabase decomposes learnings from each query, compounding your institutional knowledge.

Less maintenance

Data maintenance that runs itself.

Terrabase runs ongoing data-quality and freshness checks on every item, and monitors metric precision from your BI tools on each query. Most checks auto-validate. Only the most critical few get flagged for review.

Learn more →
Control Center
Last 30 days
Freshness coverage
92%current
Current 92Review 6Blocked 2
Checked on every item after each connector sync.
Flagged for review4 open
Net Delivered GMVPrecision2h ago
Source value drifted 0.8% from its definition after the latest Snowflake sync.
ReviewDismiss+3 more
Auto-validated checks
138this week
Data-quality & freshness cleared automatically.
Metric precision
99.4%per query
Metric values verified against source each run.
146 checks run142 auto-validated · 4 flagged
"Terrabase helps Tabz turn billions of payment events into trusted, self-monitoring analytics workflows our team can rely on."
Halston Prox, CEOTabz
"Terrabase helps SPSI turn recurring manual work and report generation into trusted workflows that reduce back-and-forth."
Mike Kline, Deputy General ManagerSpecialized Professional Services, Inc.
The product

A self-learning context layer underneath.
An analytics harness on top.

Context layer
Analytics harness

Point it at your stack.

Terrabase reads your warehouse, BI tools, files, and apps as they run today. No new pipeline to stand up, no connector to babysit.

Map knowledge across your stack.

Terrabase reads your tables and BI definitions and maps the metrics, joins, and meanings between them, the way a seasoned analyst would.

Context that maintains itself.

Schemas shift and metrics get redefined. Terrabase keeps definitions current on its own and flags only the changes that need your judgment.

Every run makes it smarter.

Every run leaves reusable context behind, so the same question gets cheaper each time you ask it and accuracy climbs as the layer learns.

Ask in plain language.

Ask the way you would say it to a teammate, from a simple question to complex statistical modelling. Every answer is a reproducible, auditable pipeline grounded in your mapped context.

See the plan before it runs.

Before a single query runs, see the steps, the sources, and how it will present the result. Correct anything up front, while changes are cheap.

Dashboards, reports, and chats.

Turn any question into a living dashboard, a shareable report, or an ongoing chat, each built on the same verified context.

Every number traces to source.

Click any figure for its formula, its sources, and who endorsed it. Full provenance and an audit trail behind every answer.

Turn answers into dynamic actions.

Schedule report refresh, and let Terrabase monitor every run. Turn any findings into dynamic actions across Slack, email, and apps you connect with Terrabase.

terrabase - connect
Terrabase connect : Connect to Data Source connector picker
terrabase - map
Terrabase map : Connector map of OpenCart Snowflake table relationships
terrabase - manage
Terrabase manage : Control Center approvals queue, needs human review
terrabase - compound
Terrabase compound : Run context with learnings emitted and reusable metrics
terrabase - ask
Ask anythingsimple lookups → statistical models
Simple

Show me total orders, revenue, and average order value by month, and split out delivered vs cancelled.

Ranking

Which categories make up 80% of our revenue, and is that concentrated in just a handful of sellers?

Forecasting

Forecast demand by SKU for the next 4 weeks, down to category and state, give me confidence ranges, and flag where sellers might not keep up.

Anomaly

Which sellers have unusually bad delivery times or freight costs versus similar categories and regions once you account for order mix, and how much GMV is at risk?

ML · modelling

Put together an executive growth and risk plan: compare our CRM pipeline to what actually sold, factor in concentration, seller reliability, freight, and reviews, and tell me the top 5 moves for leadership.

PlanSource ⌄Auto ⌄➤
terrabase - plan
Terrabase plan : Salesforce Product Family vs Marketplace Performance Report
terrabase - build
Terrabase build : executive report with metric tiles and Category Growth Calls chart
terrabase - verify
Terrabase verify : audit trail, finalized plan with definitions preserved
terrabase - act
Terrabase act : executed actions and available Slack, Gmail, Snowflake, and Salesforce actions
Estimate your savings

See what Terrabase saves your team.

Choose your org size and stack. We'll estimate total savings: per-seat reduction, per-view savings, and analyst hours returned.

Organization size
Seats100–250
Artifacts / moreports / dashboards
40
Queries / mo
5,000
Actions / artifactmonitor / alert
2
What's your data analytics stack today?select all that apply
BI Tooling
AI harness
AI analytics
Estimated savings · approx
~$14K–$21K/ mo
about $170K–$250K a year
Not pictured
30–50 hrs / mo
saved on active maintenance of data accuracy & freshness.
Your tools stay. The per-seat and per-view costs do not.
~$3K–$4K/moReduce per-seat contracts. Keep your stack as the system of record and pay for usage, not headcount.
~$2K–$3K/moSave on per-view and per-refresh costs as viewing and refreshing move to Terrabase.
~$9K–$13K/moSave on query costs by reusing your mapped context instead of rebuilding it as analyst time.

Seat counts and per-seat or per-view pricing are assumed from organization size and based on publicly available pricing. Token savings assume continuous use of Terrabase over 3 months. Savings are approximate. Talk to us for a figure scoped to your stack.

Pricing

Pricing that scales with the value, not the seat count.

Talk to us
Teams

How various orgs use us.

Run automated workflows per org, under one governed context layer.

Throughput, capacity, and cost.

TerrabaseTerrabaseRunning on the platform
Throughput & SLADailyLive
Output, on-time rate, and open exceptions across sites.
Exception monitorContinuousMonitored
Live watch on quality escapes, downtime, and stockouts.
Capacity & utilizationWeeklyScheduled
Labor, equipment, and asset use by site and line.
Cost to serveMonthlyScheduled
Unit cost, yield, and overtime by site and product.
Connected sources
ERP
WMS / MES
IoT sensors
Snowflake
Sheets
FAQ

Questions, answered.