BillOptim is our own product that we developed from the ground up. We created a comprehensive platform that provides automated billing, usage-based pricing, and smart metering solutions for SaaS companies, helping businesses transform their billing operations and maximize revenue through intelligent pricing strategies and efficient billing workflows.
SaaS companies often struggle with implementing scalable and efficient billing models that can handle complex pricing strategies.
Our team developed a robust platform that offers flexible billing solutions, including real-time usage tracking, automated invoicing, and customizable pricing models.
Automated billing systems
Usage-based pricing implementation
Smart metering solutions
Revenue maximization tools
Intelligent pricing strategies
Efficient billing workflows
SaaS-specific billing solutions
Designing a flexible automated billing system that could handle diverse pricing models and subscription structures for SaaS companies.
Implementing precise usage tracking and calculation mechanisms that could accurately measure and bill for various types of resource consumption.
Developing integrations with multiple service monitoring systems to collect usage data for accurate metering and billing.
Creating intelligent algorithms that could analyze usage patterns and suggest optimal pricing strategies to maximize revenue.
Developed a highly configurable billing engine that could support subscription, usage-based, tiered, and hybrid pricing models through a unified framework.
Implemented a scalable event processing pipeline that could ingest, normalize, and process usage data from diverse sources with minimal latency.
Created a standardized integration layer that could connect with various service monitoring systems through both push and pull mechanisms.
Built an analytics engine that continuously analyzed billing data to identify revenue optimization opportunities and pricing inefficiencies.
Deployed the platform on a containerized, microservices architecture that ensured high availability and independent scaling of system components.
BillOptim is a usage-based billing and metering platform for SaaS companies, built as containerized Node.js microservices on AWS. Usage events stream in from customer systems, are normalized and aggregated by a metering pipeline, then rated against configurable subscription, tiered, volume and hybrid plans to produce invoices. Splitting ingestion, rating and invoicing into independent services lets the high-volume event path scale separately from the transactional billing path.
A React and Ant Design web console where SaaS operators define plans, meters and pricing rules and review invoices, plus customer-facing usage dashboards.
A gateway terminates TLS, authenticates API keys per tenant and rate-limits before routing to the ingestion or billing services.
TypeScript Node.js services separate the high-throughput metering path from the transactional rating and invoicing path.
Raw usage events land in DynamoDB for cheap append-heavy writes, while plans, customers, rated line items and invoices live in PostgreSQL for relational integrity.
A standardized connector framework pulls or receives usage from monitoring systems and hands finished invoices to payment and accounting tools.
Containerized services on AWS scale independently, with infrastructure as code and automated pipelines for releases.
A customer system emits a usage event (API call, seat, GB) to the ingestion API or a metering connector pulls it on a schedule.
The gateway validates the tenant API key, deduplicates by idempotency key and publishes the event onto the ingestion stream.
The metering engine normalizes units, assigns the event to a meter and updates per-customer aggregates for the billing period.
At period close the rating engine applies the plan's pricing rules (tiers, volume discounts, minimums) to the aggregates.
The invoicing service generates line items and an invoice in PostgreSQL and emits a webhook to the payment gateway and accounting export.
The revenue intelligence module analyzes rated data to surface pricing inefficiencies and plan recommendations in the console.
Usage events are high-volume and append-only, so DynamoDB absorbs them cheaply, while invoices and plans need transactions and joins that PostgreSQL provides. Mixing both in one store would force a compromise on either cost or integrity.
Billing errors are expensive to reverse, so every event carries an idempotency key and the stream can be replayed to rebuild aggregates. This supports the reported 30% reduction in billing errors.
Subscription, usage-based, tiered and hybrid plans are expressed in one configurable rule framework rather than custom code per customer, which let the platform onboard 100+ SaaS companies without engineering work per tenant.
Ingestion spikes are independent of month-end rating load, so services scale on their own, contributing to the 99.9% uptime target.
“The backend architecture developed by the team has been the foundation of our platform's success, enabling us to handle complex billing models with ease and reliability.”
We ship MVPs, AI agents, and production systems in 8 weeks. Bring the rough spec — we'll scope the build inside a week with a fixed timeline and quote.
