300+Custom manufacturing reports generated
5Letters of intent with major manufacturers
$500kFunding raised for the industrial AI platform
THE SHORT STORY
Ailoys is an industrial AI company that builds and deploys Digital Twin solutions for manufacturing lines, helping factories optimize material compositions, balance process speed with product quality, and maximize return on manufacturing assets.
- CLIENT
- Ailoys
- INDUSTRY
- Manufacturing
- DURATION
- Multi-month industrial data platform build-out
- THE TEAM
- 2x Data Engineers
01 / Ailoys
The challenge.
- Multi-dimensional data correlation between nanosecond-precision acoustic emissions and slower, heterogeneous customer business data (temporal alignment, spatial mapping, signal processing, and multi-modal fusion).
- Fragmented extraction logic with critical feature extraction, calibration, and validation code scattered across disconnected notebooks, creating technical debt and inconsistent results.
- No data pipeline foundation—manual, ad-hoc data handling, no streaming ingestion, no central data lake/warehouse, limited compute for large acoustic files, and no real-time analytics or alerts.
02 / Ailoys
Our approach.
- Designed an AWS-based streaming and batch data architecture to reliably ingest, process, and store high-volume acoustic and customer data.
- Standardized acoustic feature extraction and calibration by consolidating logic from notebooks into reusable, production-ready services.
- Established a central data lake and processing layers to separate raw, processed, and analytics-ready datasets, enabling scalable digital twin and optimization models.
- Containerized compute workloads and introduced batch job orchestration for heavy acoustic processing tasks.
03 / Ailoys
What we built.
- Implemented a streaming flow: hardware → Amazon Kinesis → Firehose → data lake on S3 + Apache Iceberg.
- Implemented a batch flow: S3 → SQS → AWS Lambda → AWS Batch + Spark/Glue → S3 (Parquet), enabling large-scale retrospective analysis.
- Centralized storage and processing infrastructure on AWS (ECR + ECS for compute) to support scalable, parallel acoustic signal processing.
- Laid the foundation for continuous learning digital twins, feeding optimized material compositions and process insights back into manufacturing operations.
04 / Ailoys
The impact.
- Generated 300+ custom analytics reports for manufacturing clients.
- Helped secure 5 LOIs with large manufacturers in Germany and Japan.
- Contributed to Ailoys raising over $500k in funding for the platform.
BEHIND THE BUILD
The technology.
- AWS
- AWS Kinesis
- AWS Firehose
- Apache Spark
- AWS Glue
- AWS Batch
- AWS S3
- Apache Iceberg
- AWS ECS
- AWS ECR
NEXT STORY / Software Defined Automation (SDA)