Younium

Subscript is a B2B subscription billing and revenue intelligence platform that combines billing automation with the ARR analytics and revenue recognition that B2B SaaS finance teams need for board reporting and investor relations. The platform is designed for the specific complexity of B2B SaaS billing: negotiated contract pricing, multi-year deals, ramp commitments, true-up billing based on actual usage against contracted minimums, and complex invoice structures that reflect enterprise sales arrangements. Subscript automates invoice generation from contract data, eliminating the manual billing spreadsheets that many B2B SaaS companies rely on before they reach scale. Revenue recognition automation implements ASC 606/IFRS 15 rules, producing deferred revenue and recognized revenue schedules from subscription contracts. The ARR analytics module tracks MRR/ARR waterfall, new ARR, expansion, contraction, churn, and net revenue retention with cohort views and period-over-period comparisons in formats familiar to SaaS investors and board members. Salesforce CRM integration syncs deal data to billing, ensuring contracts are billed accurately without manual re-entry. Payment collection through Stripe handles ACH and card payments with dunning for failed charges. Subscript's focus on the finance team experience — providing the metrics, reconciliation tools, and compliance outputs that CFOs and controllers need alongside the billing automation that revenue operations teams require — positions it as a unified platform that bridges billing operations and financial reporting. Best suited for B2B SaaS companies with $2M–$50M ARR.

Metronome is a usage-based billing infrastructure company trusted by AI, cloud infrastructure, and developer tool companies that need to bill customers based on consumption at massive scale. The platform has established itself as the billing infrastructure behind some of the most prominent AI companies, processing billions of events monthly with sub-second latency. Metronome's architecture is designed for the event volumes and billing complexity that AI API companies face: high-frequency token and request ingestion, complex credit and prepaid commitment management, real-time spend dashboards within customer products, and retroactive pricing model changes that don't require re-rating historical events. The credit grant system handles prepaid credits, promotional allocations, and contract commitments with automatic drawdown as usage occurs. In-app usage dashboards embed real-time cost tracking directly in customer products, helping users monitor spending and preventing bill shock that damages enterprise relationships. Contract management handles the complex enterprise commitment structures common in infrastructure selling — minimum commitments, ramp deals, credits on commit, and renewal negotiations — with billing that automatically enforces contract terms. The invoice generation engine produces detailed itemized invoices that give enterprise customers the transparency required for internal chargebacks. Metronome processes pricing changes without manual re-rating through its immutable event ledger approach. For AI API companies, cloud platforms, and infrastructure-as-code businesses where billing accuracy at high event volume is a technical requirement, Metronome's proven at-scale architecture provides the reliability foundation that homegrown billing systems rarely achieve.

Togai is a usage-based billing and pricing infrastructure platform that enables non-engineering teams to configure, experiment with, and iterate on usage-based pricing models through a no-code interface. Traditional usage-based billing requires significant engineering work to ingest usage events, aggregate them into charges, and generate accurate invoices — Togai provides the infrastructure layer that handles this complexity while giving product and pricing teams self-service control over pricing configuration. The event ingestion API processes any usage signal from products — API calls, compute minutes, seats, features accessed, rows processed — and the metering engine aggregates them according to configurable rules. Pricing plans can be created and modified through the dashboard without engineering changes, enabling pricing experiments without development sprints. The platform supports all common usage-based pricing models: per-unit, tiered, volume, graduated, package, and minimum commitment structures. Invoice generation, payment collection via Stripe, and dunning automation complete the billing workflow. The analytics dashboard tracks usage patterns by customer, pricing model performance, and revenue attribution by pricing component. Salesforce integration syncs billing data with CRM for customer success visibility. Togai's no-code pricing configuration and usage analytics are particularly valued by growth teams and product managers who want to test pricing hypotheses rapidly. For SaaS companies transitioning from seat-based to usage-based pricing, Togai's flexible configuration reduces the engineering investment required to implement and iterate on the new model.