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Kribana (product of Simplify Revenue Software Private Limited) — Granular usage-metering event data generated by Kribana's billing platform: per-event logs of AI token counts, API calls, compute-seconds, and seats across its customers' end users, feeding a real-time append-only ledger used for billing and entitlement checks.. Very early-stage startup — 0 employees firmographic data, incorporated roughly 18 months ago, pre-scale B2B infrastructure vendor still in a design-partner/early-customer phase.. Use cases: AI/LLM usage benchmarking across models and workloads, SaaS consumption analytics…
Granular usage-metering event data generated by Kribana's billing platform: per-event logs of AI token counts, API calls, compute-seconds, and seats across its customers' end users, feeding a real-time append-only ledger used for billing and entitlement checks.
From 1 yearsFormat TabularCoverage Information Technology
Sample, licence terms, pricing and eval results when Kribana publishes them. Until then, discover alternatives today with a 7-day trial.
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Kribana (product of Simplify Revenue Software Private Limited) — Granular usage-metering event data generated by Kribana's billing platform: per-event logs of AI token counts, API calls, compute-seconds, and seats across its customers' end users, feeding a real-time append-only ledger used for billing and entitlement checks.. Very early-stage startup — 0 employees firmographic data, incorporated roughly 18 months ago, pre-scale B2B infrastructure vendor still in a design-partner/early-customer phase.. Use cases: AI/LLM usage benchmarking across models and workloads, SaaS consumption analytics…
Kribana offers (Alternative) — Platform claims capacity for 400M+ metered events/month; real current volume is likely far smaller given the company's early stage (0 employees, incorporated ~April 2025) — estimate low (tens of thousands to low millions of events/month) until broader customer adoption..
AI/LLM usage benchmarking across models and workloads, SaaS consumption analytics, pricing-elasticity modeling for usage-based billing, and anomaly detection on usage spikes — if aggregated/de-identified across Kribana's customer base.
The data is with 1 years of history.
Coverage spans US; Application Software; alternative; equities.
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