# The Silicon Platform for Data Teams | Silicon

URL: https://meetsilicon.com/platform/

> The Silicon platform for companies with their own data team: a semantic layer on your warehouse and dbt project, AI answers in Slack, dashboards, and checks on every pull request.

Silicon platform
# For companies that already have a data team
Connect Silicon to your warehouse and dbt project. Your team defines each metric once, anyone can ask in Slack or build a dashboard, and Silicon warns you before a change breaks one.
Book a demo
30-minute demo with the founder
Product tour coming soon See pricing
How it fits together
## How Silicon sits on your stack
Your team keeps running the warehouse and dbt. Silicon reads them where they are and turns your metric definitions into answers, dashboards and checks.
Silicon platform
06
### Where your team gets answers
People ask and read where they already work.
Slack
Microsoft Teams
Google Sheets
Web app
Email digests
Inside your product
05
### Ask, share and build
Every tool reads the same metric definitions, so a chart and an answer in Slack agree.
AI analyst ↗
Dashboards & reports ↗
Data apps ↗
Embedded analytics ↗
04
### Keep it from breaking
Changes to your data are checked before they reach a dashboard.
Schema protection ↗
Dashboards as code ↗
[ Run by your data team ] Or we can run it for you ->
03
### One definition for every metric
Revenue, churn and pipeline are defined once, with the team that owns each number.
Metric definitions ↗ Joins and dimensions
Row and column permissions
What depends on what
02
### Your data foundation
Pipelines, warehouse and models, kept accurate as the company grows.
Pipelines
Warehouse
dbt models
Tests and monitoring
01
### The tools you already use
Nothing gets replaced. Silicon reads what you have today.
Billing
CRM
Product database
Spreadsheets
Support
Marketing
Features
## What's in the platform
Eleven tools on one set of metric definitions. A dashboard, an answer in Slack and an agent all pull from the same place, so they agree.
Why did churn rise in March?
Silicon
Two enterprise accounts on legacy pricing churned on Mar 31.
Analytics
### AI analyst
Ask in plain English, get answers you can verify.
net_revenue:
type: sum
description: After refunds
Analytics
### Semantic layer
Define every metric once. Use it everywhere.
net_revenue Finance
active_accounts Product
churn_rate Customer success
Analytics
### Metrics catalog
Browse every metric and how they connect.
Net revenue - Q3
$4.21M
Analytics
### Dashboards & reports
Dashboards, schedules and alerts on governed data.
Autopilot - nightly run
Fixed 2 broken charts
Flagged 5 stale dashboards
Suggested 3 new charts
Agents Beta
### Autopilot
Fixes broken charts and flags stale ones.
# from Claude or Cursor
silicon.query(
metric="net_revenue",
by="month")
Agents
### Silicon MCP server ↗
Query your metrics from Claude or Cursor.
analytics/dbt #482
Breaks 3 dashboards, 12 metrics
Fix PR #483 drafted
Reliability
### Schema protection
Catch breaking changes at the pull request.
v14 Added ARR by segment
v13 Churn to monthly
v12 Fixed EMEA filter
Reliability
### Dashboards as code
Version, review and ship BI like software.
analytics/dbt #219 Add activation_rate
+ metrics: + activation_rate: + type: ratio
Reliability
### Write back to dbt ↗
Build a metric in Silicon and open a pull request to dbt.
Q4 forecast
$5.02M
Win rate
Build
### Data apps
From prompt to production app in minutes.
Your product - Customer portal
Build
### Embedded analytics
Governed analytics inside your product.
See all of it in a 30-minute demo Book a demo -> Product tour coming soon
## By role
- Data engineers ->
- Analytics engineers ->
- Data analysts ->
- Growth & product ->
- Business teams ->
Integrations
## Runs on the stack you already have
Nine warehouses, dbt, four git hosts, Slack, Microsoft Teams and Google Sheets. Silicon reads what you already have, without moving your data.
All integrations ->
FAQ
## Questions about the platform
### Can we use just the platform? +
Yes. Team is $1,499 a month and Pro is $2,399 a month, with unlimited users on both. Your data team connects Silicon to your warehouse and dbt project, and you can partner with us later if you need more hands.
### How does the platform work? +
Silicon connects to your warehouse and reads your dbt project. Your metrics and models become a governed semantic layer, which powers dashboards, reports and AI answers. Silicon also watches your repository and checks every pull request against what depends on it.
### How does Silicon avoid hallucinated answers? +
Silicon answers from your semantic layer, not raw tables. It uses the metrics, dimensions and joins defined for your company, runs every query with the asking user's permissions, and shows the SQL and definitions behind each answer so it can be checked.
### What happens when a schema changes? +
When a pull request changes a model, Silicon compares it with every dashboard, report and metric that depends on it. If anything would break, it comments on the pull request with the affected assets and can draft a fix.
### Does Silicon replace our BI tool? +
For most companies on a modern warehouse, yes. Silicon covers dashboards, scheduled reports, alerts, self-serve exploration and AI answers. Some teams run it alongside an existing BI tool while they migrate.
### Does Silicon work with Segment, PostHog or GA4? +
Event data from tools like Segment, PostHog or GA4 works once it lands in your warehouse. Silicon reads it from there, next to your billing and CRM data, so product and revenue metrics share one set of definitions.
### Is Silicon secure? +
Silicon connects with read-only access, runs queries in your warehouse and never uses your data to train models. AI answers respect row- and column-level permissions. Enterprise adds SSO, SCIM and private deployment in your VPC. We haven't completed a SOC 2 or HIPAA audit yet; the Security page describes how we handle data today.
## See Silicon on your own stack
Book 30 minutes with the founder. Bring your warehouse and dbt setup, and see Silicon running on sample data.
Book a demo
30-minute demo with the founder