Outsourcing Solutions in Machine Learning & Yield Management

Providing cutting-edge AI-driven software solutions for the advance manufacturing industry.

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Our Services

Machine Learning Outsourcing

Delivering AI-powered solutions tailored for complex industry needs.

Yield Management Software

Optimizing high-tech manufacturing with precision and predictive analytics.

About Us

INFERENCE is a promising start-up focused on the high-tech and outsourcing market, specializing in yield analytics, process automation, and test operations within the manufacturing industry.

We provide professional services for electronic manufacturers, designers, and test providers, including consulting services, data analytics, and interactive dashboards for yield management, machine learning, and cloud architecture services.

Our team brings expertise in data analytics, statistical modeling, cloud solutions, and modern big data structures, utilizing a tech stack that includes Python, Perl, Linux, C++, Docker, AWS services, SQL, Tableau, and more.

Research & Development

Exploring and experimenting with modern technologies in different areas including:

Machine Learning Systems

  • Classical and deep learning use cases
  • Feature engineering:
    • Feature importance | model-agnostic methods
    • Generalization | Data Leakage
  • Training data:
    • Sampling | Labeling | Data Augmentation | Class Imbalance
  • Model development and deployment:
    • Model Selection | Ensemble | XGBoost/LightGBM
    • Model Evaluation, Versioning, and Debugging
  • Model Deployment:
    • Batch vs Online | Cloud Tools (SageMaker, Vertex AI, Azure)
    • Stream Processors | Inference | Model Compression methods
    • Edge vs Cloud | Model Optimization | Data distribution shifts
    • Resource Management (Airflow, Dagster, Prefect, Argo, MetaFlow)
  • Software Resources:
    • Python (Scikit-learn, PyTorch, NumPy, Pandas, Keras)
    • Kaggle, Hugging Face, Llama, RAG, Knowledge Graphs, Neo4j

Data Architecture

  • Modern Data Warehouse, Data Fabric, Data Lakehouse, Data Mesh
  • Design choices: OLAP, OLTP, Lambda Architecture, Kappa Architecture
  • Data Modeling: Relational, Dimensional, Common, Vault, Kimball/Inmon
  • Data Ingestion: ETL vs ELT, Reverse ETL, Batch vs Realtime, Data Governance

DeFi, Blockchain, and Web3

  • Decentralized Finance (DeFi):
    • Decentralized Applications, Wallets, Stable Coins
    • Governance Tokens, Oracles, AML/KYC
  • Building on Blockchain:
    • Staking, Lending Protocols, Decentralized Exchanges (DEX)
    • Yield Farming, Meme Coins, Swap Platforms

Our Vision & Philosophy

At NFERENCE, we believe in the following core values: