[ ABOUT SILICON ]

We’re building the trust layer for modern analytics.

We’re building the trust layer for modern analytics.

We’re building the trust layer for modern analytics.

Silicon started with a simple belief: teams should be able to ask questions, ship dashboards, and change metrics without wondering whether the answer still holds.

Silicon started with a simple belief: teams should be able to ask questions, ship dashboards, and change metrics without wondering whether the answer still holds.

Silicon started with a simple belief: teams should be able to ask questions, ship dashboards, and change metrics without wondering whether the answer still holds.

SPEAK TO FOUNDER

VIEW PRICING

[ WHY WE EXIST ]

Data work only matters when people can trust what changes next.

Data work only matters when people can trust what changes next.

Data work only matters when people can trust what changes next.

We’re designing Silicon for the messy middle between business questions and production data systems — where context, ownership, and reliability usually disappear.

We’re designing Silicon for the messy middle between business questions and production data systems — where context, ownership, and reliability usually disappear.

[1]

Context travels with the answer

Context travels with the answer

Context travels with the answer

Metrics, owners, definitions, and caveats should be visible at the moment a decision gets made.

[2]

Reliability is a product surface

Reliability is a product surface

Reliability is a product surface

Broken dashboards, stale cohorts, and schema drift deserve first-class workflows, not after-the-fact cleanups.

[3]

Built for the people on call

Built for the people on call

Built for the people on call

The best analytics system helps teams fix the pipeline, not just screenshot the symptom.

[ HOW WE WORK ]

Small loops. Sharp tools. Fewer handoffs.

Small loops. Sharp tools. Fewer handoffs.

Small loops. Sharp tools. Fewer handoffs.

Customer loops over guessing

Customer loops over guessing

We stay close to the moments where analytics breaks: metric changes, dashboard reviews, PRs, and executive questions.

Engineering-grade analytics

Engineering-grade analytics

We borrow from software workflows: reviews, diffs, owners, tests, alerts, and rollback paths for data work.

Measured by trust restored

Measured by trust restored

The goal is not more charts. It’s fewer unanswered caveats when a team needs to act.

[ BUILT IN BANGALORE ]

Silicon is made by operators who have lived the spreadsheet-to-dashboard-to-incident loop.

Silicon is made by operators who have lived the spreadsheet-to-dashboard-to-incident loop.

Silicon is made by operators who have lived the spreadsheet-to-dashboard-to-incident loop.

We’re building from Bangalore with a bias for clear systems, calm interfaces, and workflows that respect how product, growth, finance, and data teams actually make decisions.

We’re building from Bangalore with a bias for clear systems, calm interfaces, and workflows that respect how product, growth, finance, and data teams actually make decisions.

[1]

Built in Bangalore, IN

Built in Bangalore, IN

[2]

A Verge Labs Inc. product

A Verge Labs Inc. product

[3]

Focused on trusted data work

Focused on trusted data work

[ LET’S TALK ]

Building reliable analytics? We should compare notes.

Building reliable analytics? We should compare notes.

Building reliable analytics? We should compare notes.

SPEAK TO FOUNDER

[ Linkedin ]

[ X ]

Copyright Verge Labs Inc.
2026 Built in Bangalore, IN

Silicon vs Tableau

Silicon vs Monte Carlo

Silicon vs ThoughtSpot

Silicon vs Omni

Terms & Conditions

Silicon

[ Linkedin ]

[ X ]

Copyright Verge Labs Inc.
2026 Built in Bangalore, IN

Silicon vs Tableau

Silicon vs Monte Carlo

Silicon vs ThoughtSpot

Silicon vs Omni

Terms & Conditions

Silicon

[ Linkedin ]

[ X ]

Copyright Verge Labs Inc.
2026 Built in Bangalore, IN

Silicon vs Tableau

Silicon vs Monte Carlo

Silicon vs ThoughtSpot

Silicon vs Omni

Terms & Conditions

Silicon