How ScaPic Launched a Scalable AI 3D API Using NextSaaS
Overview
A foundation for real-time 3D processing.
ScaPic needed a scalable infrastructure to process thousands of 3D content requests per day. NextSaaS provided the compute, queueing, and monitoring layers required to run AI workloads reliably.
The problem
AI workloads required heavy infrastructure.
Rendering and processing 3D assets required GPU-intensive workflows, and ScaPic needed a more reliable backend to scale efficiently. The company's initial infrastructure struggled to handle spikes in demand, leading to slow processing times and occasional service failures. Managing GPU clusters, job queues, and storage systems required significant engineering resources that could have been spent on product development. As user demand grew, the infrastructure costs were becoming prohibitive, and the team needed a solution that could scale automatically without constant manual intervention.
Harsh Verma
CTO, ScaPic
NextSaaS helped us reduce infrastructure strain and scale without rewriting our backend. We went from constantly managing servers to focusing on building features. The reliability improvements have been game-changing for our product.
The solution
A custom pipeline optimized for 3D workloads.
NextSaaS delivered a custom solution including GPU scaling, automated job queues, monitoring dashboards, and asset delivery optimization. The platform was configured specifically for ScaPic's 3D rendering requirements, with intelligent GPU allocation that scaled up during peak demand and down during quiet periods. Automated job queues managed the processing pipeline, ensuring requests were handled in priority order and failed jobs were automatically retried. Real-time monitoring dashboards provided visibility into system performance, queue depths, and processing times, enabling proactive optimization.
Aria Kapoor
Product Lead, ScaPic
The stability and performance improvements were immediate. We could handle ten times the traffic without any degradation in service quality. The automated scaling means we never have to worry about capacity planning, which has freed up our engineering team significantly.
The result
Lower latency and higher reliability.
ScaPic reduced processing time and can now handle 10x more 3D requests with consistent SLA performance. The optimized infrastructure eliminated bottlenecks that previously caused delays, resulting in faster response times for end users. Automated scaling ensures that the platform can handle traffic spikes without manual intervention, while monitoring dashboards provide early warning of potential issues. The reliability improvements have reduced support tickets and increased customer satisfaction, enabling ScaPic to focus on product innovation rather than infrastructure maintenance.
Rohan Singh
Engineering Manager, ScaPic
NextSaaS gave us reliability at a scale we could not achieve alone. We have been able to grow our user base tenfold without adding infrastructure complexity. The performance improvements have directly translated to better customer experiences and higher retention.