Skip to main content
📈 A new era for Hex, and data Announcing Hex 4.0, and a $100m fundraise building toward the agent-native future for analytics.

The Analytics platform for humans and agents

Rethinking

BI

Conversational analytics

and

Context management

for the agentic era.

Get started for free
Request a demo

Trusted by leading data companies

A different approach to Analytics and BI

BI tools, chat apps, and vibe-coding only give you inconsistent answers and poor user experience. Hex is built with a full suite of tools to unlock your team's curiosity while maintaining trust and governance.

Ask a question, get a trusted answer

Explore self-serve insights
quote

"The ability to use Hex in any way we choose is valuable because now we can connect into Hex via my favorite dev tools."

Nithin Bose. VP of Customer Engineering

Chat with the Hex Agent
agent-viewAgent
notebook-viewNotebook
app-builder-viewApp
Share
Get me NexaCorp's Q3 sales by product line
I'll help you analyze NexaCorp's revenue by product line. I'll pull data from Q1-Q3 so you can compare trends over the last few quarters and see how Q3 fits into the broader pattern.
chevron-downThought for 23 seconds

NexaCorp revenue trends by product line

Here's what I found in the "nexacorp_sales" tables (powered by the Galactic Sales semantic model):

  • Teleportation pads — $42.3M
  • Quantum drives — $38.7M
  • Wormhole initiators — $33.1M
  • Dark matter lasers — $28.6M
  • Temporal stabilizers — $21.8M
  • Anti-gravity generators — $11.2M
Revenue by Product Line Over Time (Q1-Q3)
exploreExplore
50
40
30
20
10
0
Q1
Q2
Q3
Account Revenue vs Growth (Q3)
exploreExplore
25
20
15
10
5
0
0
10
20
30
40
50
I also created a chart showing revenue vs growth. Let me know if you'd like to break this down by region or customer sector.
Can you break this out by region too? I want to see how each product line performed across the Core Worlds, Mid-Rim, and Outer Rim.
I'll help you analyze NexaCorp's Q3 revenue by product line and region. Let me search for the most relevant data source.
chevron-downThought for 11 seconds
I found regional revenue data in the endorsed semantic model "NexaCorp: Galactic Sales Model." This model contains standardized region definitions (Core Worlds, Mid-Rim, Outer Rim) and pre-calculated revenue metrics, which is the best source for your question.

Let me create a grouped bar chart so you can compare regions within each product line:
Galactic Revenue Distribution by Product Line (Q3)
exploreExplore
Teleportation pads
Quantum drives
Wormhole initiators
Dark matter lasers
Temporal stabilizers
Anti-gravity generators
0%
20%
40%
60%
80%
100%
Quick insight: Core Worlds lead revenue for Teleportation pads and Quantum drives, while Wormhole initiators see a stronger mix from the Outer Rim.
plus
NexaCorp Galactic Warehousechevron-down
enter
Show NexaCorp Q3 sales

Get me NexaCorp’s Q3 sales by product line

Thought for 27s
HexSearch projects

NexaCorp Q3 sales by product line

Here’s what I found in the “nexacorp_sales” tables:

  • Teleportation field extenders — $42.3M
  • Quantum drives — $38.7M
  • Wormhole initiators — $33.1M
Slack
Avatar
Julia
4 min ago
@Hex get me NexaCorp's Q3 sales by product line
3 replies
Hex
4 min ago
Your question was sent to Hex! The answer will be posted here, but you can also follow along in Hex.
View in Hex

NexaCorp Q3 revenue trends by product line

Here's what I found in the “nexacorp_sales” tables (powered by the Galactic Sales semantic model):

  • Teleportation pads — $42.3M
  • Quantum drives — $38.7M
  • Wormhole initiators — $33.1M
  • Dark matter lasers — $28.6M
  • Temporal stabilizers — $21.8M
  • Anti-gravity generators — $11.2M
Revenue Trends by Product Line (Q1-Q3) (56 kB)
50
40
30
20
10
0
Q1
Q2
Q3
Let me know if you'd like to break this down by region or customer sector.
Hex CLI

Ground every answer in your organization’s context

Explore the Context Engine
quote

"It's something I check every day — seeing context gaps and suggested improvements surfaced automatically provides a practical way for us to bring trusted AI self-service to the business."

Craig W. Staff Data Engineer

Compounding context

Share insights with generative dashboards and data apps

Explore AI app building
quote

"With Hex's Notebook Agent, I never have to build another chart again? What a dream come true."

Molly Jane Nicholas. Senior Researcher

Market explorer map of 24,806 prospective US accounts as clustered dots
Explore customer demand across the US
NexaCorp subscription revenue line chart at $550k, down 8.4% from April to September
Track revenue across the business
NexaCorp Q4 pricing forecast of $428k projected revenue with a dashed line after today
See next quarter’s revenue forecast
NexaCorp customer portfolio table of 283 accounts with ARR and usage change
Keep an eye on customer accounts

See what people are asking, and whether the answers are right

Explore the Context Studio
quote

"We have so many people and products that our context is never stagnant. Even when we launch a new data domain for the first time, it's already stale the next day. Hex’s Context Studio and Evals give us the visibility needed to manage our context at scale."

Jordan Farrer. Director of Data Science & Analytics

Evals

Q3 Enterprise Launch Readiness

3 passed2 failed
Completed 19 min ago, Maya Patel10m 39s total 141.2 credits
GradePromptAttemptsRubricsAverage timeTotal credits
PassedHow much ARR do we have from currently active customers?Passed1/1356s8.6
RubricAttempt 1 Passed

Numeric target: SQL ground truth

Numeric value
Passed
Reported: 26683729
Expected: 26683729 (SQL result)

Did the agent source ARR from dim_customers.total_arr (the canonical point-in-time ARR source) joined to dim_accounts for the account status - rather than deriving ARR from opportunity amounts, targets, or any other table?

Thread judge
Passed

The agent returned $26,683,729 using dim_customers.total_arr joined to dim_accounts and filtered on account_status = 'Active'.

Did the agent apply the correct definition of "active" - the account lifecycle status flag (dim_accounts.account_status = 'Active') - rather than a product-usage, login-based, or invented definition?

Thread judge
Passed

The agent summed dim_customers.total_arr for records joined to accounts where dim_accounts.account_status = 'Active', returning $26,683,729.

52s agent 4.6s judge 8.6 credits
PassedWhich features are included in the NexaCorp Enterprise launch?PassedPassedPassed3/3341.8s9.2
FailedWhat migration discounts are available for existing NexaCorp customers?PassedFailedFailed1/3238.6s7.4
FailedWhich connectors are generally available on launch day?PassedPassedFailed2/3233.2s7.0
PassedSummarize the Q3 Enterprise messaging for SalesPassedPassedPassed3/3347.9s9.5
Agent observability
Observability
trendingOverview
Management
lightbulbSuggestions
endorsedEndorsements
libraryGuides
semantic-modelsModels
sharingConnections
groupsAll roles
chevron-down
All roles
Admin
Editor
Explorer
userAll users
chevron-down
All users
Kira Vance
Marcus Sol
Vega Chen
Orion Reyes
Nova Okafor
Cass Meridian
libraryAll topics
chevron-down
All topics
Revenue by Product Line
Sales Breakdown
Sector Analysis
Quarterly Trends
Product Comparisons
Sector Revenue
successAll warnings
chevron-down
All warnings
User doubt
Missing context
globeAll sources
chevron-down
All sources
Hex
Slack
MCP
CLI
Last 7 days
chevron-down
Last 7 days
Last 30 days
Last 60 days
Custom range
Agent conversations
461
Unique users
55
Warnings
12
Conversation volume
500
400
300
200
100
0
9/19
9/20
9/21
9/22
9/23
9/24
Top conversation topics
Revenue by Product Line
Sales Breakdown
Sector Analysis
Quarterly Trends
Product Comparisons
Sector Revenue
0
5
10
15
20
25
30
35
DATEAGENTPROMPTTOPICWARNINGSSOURCEUSERROLE
44 min agoNotebookHow did revenue change across the Outer Rim compared to last quarter?Revenue by Product LineHexLuc PattonAdmin
1 hr agoThreadsWhich product lines saw the strongest Research-sector demand?Sales BreakdownUser doubtSlackEels GulsenEditor
2 hrs agoModelingHelp me define measures and dimensions for the Core Worlds semantic model.Sector AnalysisMCPAndrei LeesomExplorer
3 hrs agoThreadsGive me a breakdown of negative customer feedback in the Outer Rim this month.Sector RevenueMissing contextCLIAndrei LeesomExplorer
3 hrs agoThreadsWhat are this quarter's top customer pain points in the Outer Rim?Quarterly TrendsHexAndrei LeesomExplorer
Flexible by design

Work with any data, any AI model, and any context, so you aren’t locked in

Your AI bill is getting big – but you don’t know who is spending how much on what things, and whether they’re actually valuable.

Hex helps you get control of this:

  • Model choice, including open source models

  • Thread-level observability into token spend, so you can see who is spending what on which projects

  • Eval sweeps that let you dial in the price / quality frontier across models

Explore how Hex keeps you flexible
Control without compromise

Secure your data, with enterprise-grade permissions and trust

Hex is built so organizations can open up access without giving up control.

Bring AI and data work onto a platform backed by enterprise-grade security, governance, organization controls, and visibility into how your data is being used.

The infrastructure stays rigorous so the people using it don’t have to think about it.

Explore Trust Center
"If we didn’t have Hex, we might’ve left more than $100M on the table. That might even be an underestimate."

Dhaval P.

Account Lead

"AI can do almost everything for you in Hex. I use it to scaffold entire apps and help me debug SQL queries. It makes me 10x faster."

Tom C.

Principal Engineer

Loved by the
best data teams

Hex helps companies of all sizes do more with their data.

One place for insights

Notion made Hex the one place for everyone, from data science to CX and sales, to make decisions with data.

Read morearrow-right

Scaling self-serve AI analytics

Mercor democratizes analysis across their org with Notebook Agent.

Read morearrow-right

Lowering barriers to insight

Figma's team focuses on strategy over syntax using Hex's AI agents.

Read morearrow-right

Breaking data silos

Neo drives insights right where they work using Threads and Slack integration.

Read morearrow-right
Three G2 badges received by Hex for High Performer, Best Support, and Momentum Leader.

Users love Hex

Rated on G2 as an industry leader based on customer reviews. Check them outarrow-right

Notion
quote
"Our vision for Notion's data team is that anyone, regardless of technical proficiency, is comfortable using data to answer their own questions — and Hex enables that.”
Abhishek Modi

Abhishek Modi  Software Engineer at Notion

Instant integration with the whole stack

Out-of-the-box connections and flexible APIs make setup a breeze.

postgres
clickhouse
mariadb
athena
mssqlserver
mysql
trino
dremio

Built for the warehouse

Hex has built-in connections to the most popular data warehouses, lakehouses, and databases. It’s easy to set up data connections, and securely share them with your team.

Learn morearrow-right
dbt

dbt

dbt metadata, docs, & metrics

Hex has a deep integration with dbt, including automatically enriching schemas with dbt docs.

Learn morearrow-right
snowflake

Snowflake

bigquery

BigQuery

databricks

Databricks

Connect to your warehouse with oAuth

Leverage the permissions set up in your data warehouse, by authenticating with oAuth

Learn morearrow-right
github

GitHub

gitlab

GitLab

Git it together

Export your projects to GitHub or GitLab to create an audit trail.

Learn morearrow-right
airflow

Airflow

dagster

Dagster

prefect

Prefect

Orchestration

You can include Hex projects in DAGs in Airflow, Dagster, or Prefect.

Learn morearrow-right

Hex API

Want to connect to something we haven't thought of? Use our powerful public API to write your own integrations.

Learn morearrow-right

Getting started is easy.

Connect Hex to your data warehouse and do more with it immediately.

Get started for free
Talk to us

Check out all of our plans to fit your team or organization.

See our plans

FAQ

Hex is the AI Analytics Platform where trust meets insight: a single, connected workspace where data practitioners run deep analysis, business users ask questions in plain language, and everyone collaborates on the same data. A shared context engine ensures every AI-generated insight is accurate and consistent.

Hex allows anyone to get answers from data with AI. Whether you’re a member of the data team running code-based experiments or a business user looking to self-serve a one-off question, Hex provides tailored AI-workflows for you to find answers from data, faster.

Data teams switch to Hex because it gives them one connected, AI-native workspace for everything they do with data. Deep analysis, one-off questions, and critical business dashboards all happen on the same trusted context. Instead of juggling separate notebooks, BI tools, and ad-hoc Slack requests, Hex brings data work & AI together in one place.

Yes. Hex lets anyone ask questions in plain language in Hex, Slack, or via MCP and get AI-generated analysis backed by your actual data, metrics, and business rules. No SQL, no Python, no ticket to the data team. And when a question needs deeper investigation, a data practitioner can jump directly into the same workflow without switching context.

Hex's context engine combines database descriptions, semantic models, business rules, and analytical logic into one curated layer that powers every AI answer. Data teams can observe what’s being asked, catch inconsistencies, and continuously improve context over time. The result: business users get answers they can act on, and data teams maintain visibility and control over every insight.

ChatGPT, Claude, Codex, and other AI assistants can generate answers. Hex helps teams build more trustworthy, repeatable AI-powered analysis by grounding it in the organization's data, business context, and definitions. Context Studio makes it easier to inspect and improve that context, while built-in evals let teams test changes before production and measure their impact on agent accuracy.

Hex enables you to bring all your business’s critical data context into one workspace. Solution-specific analytics platforms exacerbate tool sprawl and siloed workflows between teams, while creating governance gaps leading to poor decisions and thrash.

Can't find your answer here? Get in touch.