About Antardata

Engineering Intelligence with Mathematical Rigor and Systems Discipline

Antardata (PT Antardata Jasa Analitika) is a specialized Machine Learning, Computer Vision, and Data Engineering studio. We focus on engineering high-impact intelligent systems: automated computer vision pipelines, custom machine learning models, resilient web harvesting infrastructures, and precision laboratory/hardware control planes.

Too often, data science and AI initiatives fail to produce tangible value because they remain trapped in fragile exploratory notebooks or unmonitored scripts that collapse under production conditions. We bridge that gap by combining research-grade mathematical modeling with resilient, observable systems engineering.

Core Offerings & Engineering Disciplines

Our technical capabilities span four complementary areas:

  1. Computer Vision & Visual Intelligence Engineering end-to-end visual processing systems: automated object detection, image segmentation, optical character recognition (OCR), visual defect inspection, and camera stream analytics. We design architectures optimized for edge devices (embedded SBCs) as well as scalable cloud inference backends.

  2. Applied AI & Custom Machine Learning Designing bespoke machine learning models tailored directly to proprietary datasets. From time-series forecasting and high-dimensional signal processing (biosignals, telemetry) to domain-specific LLM integration and knowledge graph querying, we deliver models with measured accuracy, low latency, and robust deployment pipelines.

  3. High-Scale Data Harvesting & Analytical ETL Engineering distributed web extraction clusters that harvest tens of millions of records across heavily defended platforms. We combine anti-bot mitigation, dynamic proxy orchestration, and LLM-assisted selector synthesis with high-performance storage and caching architectures (DuckDB, Parquet, Redis) that reduce analytical query latency by over 98%.

  4. Laboratory Automation & Hardware Systems (Lab-in-the-Cloud) Designing cloud-native control planes that interface directly with precision analytical instruments (liquid handlers, sequencers, sensors, incubators). We build fault-tolerant bidirectional communication layers using WebSockets, Redis, and low-level serial/USB protocols, orchestrated through durable workflow engines like Temporal.io.

Engineering Principles

  • Production-Grade by Default
    Every pipeline and model is built with strict typed contracts, automated testing, comprehensive error handling, and end-to-end telemetry. Software is only done when it runs reliably unattended in production.

  • Empirically Measured Impact
    We do not rely on hand-waving claims. We measure throughput, GPU/CPU utilization, latency percentiles, data freshness, and precision-recall trade-offs against verifiable benchmarks.

  • Direct Technical Collaboration
    Clients collaborate directly with senior engineers who understand both the theoretical foundations of the algorithms and the systems architecture required to run them at scale.

Technical Consultation & Advisory

Whether you are seeking custom computer vision capabilities, scaling a data harvesting pipeline, or deploying machine learning models into production, we welcome in-depth technical discussions.

Start a Technical Discussion or reach our team at contact@antardata.com.