8.4× faster time-to-insight in production
Measured across 1,100+ customer deployments since 2019 against legacy BI stacks — not a lab benchmark, a working-day delta your analysts will feel by Wednesday.
InfoKece unifies fragmented warehouse, product, and revenue data into a single source of truth operating teams can trust — with sub-second queries, column-level lineage, and audit-ready governance built in.
InfoKece sits on top of the warehouse you already run. You keep your data where it lives — we give operating teams a governed layer they can query, trust, and act on.
140+ native connectors for Snowflake, BigQuery, Databricks, Postgres, Salesforce, Stripe, HubSpot, and Segment — refreshed in under 90 seconds.
Column-level lineage, row-access policies, and our patent-pending semantic metric layer auto-resolve 92% of metric definition conflicts between finance, product, and growth.
Sub-second dashboards, open APIs, and reverse-ETL writeback to 40+ destinations — backed by SOC 2 Type II, HIPAA, and ISO 27001 in every plan.
You don't need another dashboarding toy. You need a decision layer that inherits your governance posture, speaks the language of your metric definitions, and ships answers before the next standup.
Measured across 1,100+ customer deployments since 2019 against legacy BI stacks — not a lab benchmark, a working-day delta your analysts will feel by Wednesday.
The 2024 Forrester Wave™ for Decision Intelligence Platforms evaluated InfoKece as a Strong Performer.
SOC 2 Type II, HIPAA, and ISO 27001 certified. Column-level lineage and row-access policies are in every plan — including the free tier.
Our patent-pending semantic metric layer auto-resolves 92% of metric definition conflicts between finance, product, and growth — so the COO and the Head of Analytics argue less and ship more.
Native connectors for Snowflake, BigQuery, Databricks, Postgres, Salesforce, Stripe, HubSpot, Segment. Reverse-ETL writeback everywhere your teams already work.
Analytics teams at these companies — and 600+ other venture-backed operators — run daily decisions on InfoKece.
A 47-person team split between San Francisco and Lisbon, building the decision layer we wished we had at our last jobs.
Open APIs and a public status page mean your SREs and your RevOps lead can both trust the same number.
"InfoKece was named a Strong Performer in the 2024 Forrester Wave™ for Decision Intelligence Platforms, with reference customers citing the semantic metric layer and column-level governance as standout strengths."
"Leader in Business Intelligence on G2 for four consecutive quarters — Q2 2023 through Q1 2025 — based on verified customer reviews from data and analytics teams in production."
InfoKece is shaped by the conversations we have every week with data and operations leaders at U.S. SaaS and fintech companies of 200–2,000 employees.
Data & analytics leadership
You own the metric definitions the company argues about. InfoKece gives you a semantic metric layer that auto-resolves 92% of finance/product/growth conflicts, with column-level lineage your auditors will sign off on.
See how analytics leaders use itRevenue operations
Pipeline, NRR, and CAC definitions change every quarter. Get one governed view that connects Salesforce, Stripe, and HubSpot to the dashboards your CRO actually opens — and reverse-ETL the answer back into the tools your reps live in.
See the RevOps workflowOperating leadership
You're measured on the number, not the dashboard. InfoKece collapses fragmented warehouse, product, and revenue data into one decision layer with sub-second queries — so your Monday review starts from the same source as Thursday's board pack.
See the operating layerData platform & engineering
You're tired of rebuilding semantic definitions every quarter. InfoKece's open API, 140+ native connectors refreshed in under 90 seconds, and reverse-ETL writeback to 40+ destinations mean less pipeline, more shipped.
See the platform architectureInfoKece is a decision layer that sits on top of your existing warehouse rather than a replacement for one. It pairs sub-second query latency with a patent-pending semantic metric layer and audit-ready governance (SOC 2 Type II, HIPAA, ISO 27001) — so finance, product, and growth teams work from the same definition of MRR, NRR, and every disputed metric.
The "8.4× faster time-to-insight" figure is measured across 1,100+ production deployments since 2019 against legacy BI stacks. The 410 ms average query response on billion-row fact tables comes from third-party benchmarks by GigaOm, March 2024. Platform uptime of 99.987% is the rolling 24-month figure from our public status page.
Column-level lineage, row-access policies, and our semantic metric layer are available on every plan — including the free tier. InfoKece is SOC 2 Type II, HIPAA, and ISO 27001 certified, so you can roll it into regulated environments without a separate vendor review.
140+ native source connectors including Snowflake, BigQuery, Databricks, Postgres, Salesforce, Stripe, HubSpot, and Segment — refreshed in under 90 seconds. Reverse-ETL writeback to 40+ destinations, plus an open API for anything custom.
A 30-minute working session with a solutions engineer. Bring one or two real metric definitions your team argues about; we'll wire them into a live InfoKece semantic layer against a sample of your data shape and show you the governance, lineage, and downstream writeback.
Uptime history is published on our public status page (rolling 99.987% across the last 24 months). Security posture — including SOC 2 Type II, HIPAA, and ISO 27001 reports and our data processing terms — is available under /customers/ and on request via [email protected].
A 30-minute working session with a solutions engineer. We'll wire your real metric definition into a live semantic layer and show you the audit trail, the lineage, and where the number goes next.