Which named companies use InfoKece in production?

Analytics teams at Plaid, Notion, Ramp, and Calendly use InfoKece in production, alongside 600+ other venture-backed companies and 2,140+ data teams across 38 countries.

How is customer success measured on this page?

Every customer story on this page is anchored to a single auditable metric — typically a time-to-insight reduction, hours saved per week, or query latency improvement — so readers can verify the claim rather than rely on generic testimonials.

Can I see InfoKece running on my own data before committing?

Yes. You can book a 30-minute platform demo with a solutions engineer who will walk through InfoKece against your warehouse, product, and revenue data sources — no sandbox required.

Customers

Real teams. Real numbers. The same data mess you’re trying to fix.

InfoKece is in production at Plaid, Notion, Ramp, and Calendly — and at 2,140+ data teams across 38 countries. Every story on this page is anchored to one auditable metric, not a quote about “transforming analytics.”

Book a Demo Browse the case studies

Plaid
Notion
Ramp
Calendly

InfoKece dashboard screenshot showing a cohort revenue chart and sub-second query metric

Featured · Fintech

Plaid: 11.6 hours of analyst time recovered, every week.

Plaid’s risk and product analytics teams consolidated four overlapping BI tools onto a single governed metric layer. Finance, risk, and product now read the same definition of “active transacting account” — the resolution engine auto-handles the disagreements that used to land in a Slack thread.

Time-to-insight, monthly close: 11.6 hrs recovered per week
Median dashboard load: 340 ms on billion-row fact tables

Read the Plaid deployment

SaaS

Notion

Cut monthly executive-review prep from three days to a single afternoon.

3 days → 4 hoursexec-review prep, Q3 2024

Fintech

Ramp

Replaced a legacy BI stack; 8.4x faster time-to-insight on the same queries.

8.4xfaster, vs. prior BI stack

SaaS

Calendly

Shipped governed self-serve analytics to 240+ non-data employees.

240+active non-data users, day 90

Composite · Series C SaaS

Anonymized venture-backed team

Rolled out 38 governed dashboards to GTM and finance in a single quarter.

38dashboards shipped in one quarter

Customer Spotlight · Ramp

How Ramp retired three BI tools in one quarter and kept the numbers honest.

The problem

By Q1 2024, Ramp’s analytics org was running Looker for product, a homegrown Metabase clone for finance, and an ad-hoc dbt + notebook setup for data science. Three tools meant three definitions of “gross profit” and a Slack channel where anyone could rename a metric on a Friday afternoon.

The migration

InfoKece sat on top of Ramp’s existing Snowflake warehouse — not replacing it. The semantic metric layer auto-resolved 92% of metric definition conflicts between finance, product, and growth on day one; the remaining 8% were routed to a small review queue that closed inside a two-week sprint.

The outcome

Eight weeks after cutover, the median time-to-insight on Ramp’s top 50 executive dashboards was 8.4x faster than on the prior stack. Finance close-pack went from a four-day scramble to a scheduled job. The team decommissioned the homegrown BI clone and the ad-hoc notebook pipeline.

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By the numbers

Four numbers a VP of Data can paste into a memo.

2,140+

Data teams running InfoKece in production.

Countries with at least one active deployment.

410 ms

Average query response on billion-row fact tables.

GigaOm benchmark, March 2024

99.987%

Public uptime across the last 24 months.

See it on your data

Bring your messiest warehouse query. We’ll run it on the call.

Thirty minutes with a solutions engineer, your data, your schemas. Not a sandbox — the same InfoKece that Plaid, Notion, Ramp, and Calendly run in production. Walk away with a benchmarked query latency and a written migration outline.