Antardata is an independent Machine Learning, Computer Vision, and Data Engineering studio. We partner with ambitious engineering teams to build custom vision pipelines, bespoke machine learning models, high-throughput extraction architectures, and resilient hardware control planes.
Data Points Extracted & Normalized
Analytical Pipeline Latency Reduction
Real-Time Instrument Telemetry Latency
Peer-Reviewed ML Research Papers
We don't build throwaway prototypes or academic notebooks that stall in development. We engineer robust, observable, production-grade systems built to perform under real-world loads.
Custom visual perception systems, automated image processing, and real-time video analytics tailored to operational workflows.
Bespoke neural architectures, high-dimensional sensor modeling, and domain-adapted AI pipelines with verified production metrics.
Distributed extraction clusters and analytical caching architectures engineered for heavily defended web platforms.
Bridging precision diagnostic instruments, robotics, and sensors directly with cloud-native workflow platforms.
Hands-on technical delivery across laboratory automation, high-throughput financial pipelines, biosignal AI, and distributed web extraction.
Integrated precision diagnostic hardware (liquid handlers, sequencers) with cloud orchestration services via Temporal.io, WebSockets, and Redis, enabling reliable, uninterrupted multi-hour assay execution.
Engineered multi-tier caching architectures and vectorized data workflows for global macroeconomic reporting, slashing report generation runtime from over 1 hour to under 60 seconds (>98% latency reduction).
Architected resilient scraping clusters harvesting tens of millions of records with anti-bot bypass, proxy orchestration, and LLM-assisted self-healing selector synthesis.
Developed neural network architectures and autonomous transfer learning for EEG/EMG biosignal classification and assistive robotics, backed by peer-reviewed publications and edge SBC deployments.
We do not build fragile proof-of-concepts that collapse outside the lab. Every pipeline is built with typed interfaces, automated tests, comprehensive error boundaries, and telemetry.
Every machine learning model and data pipeline is held to strict empirical standards: inference latency, memory footprint, data freshness, and verifiable business accuracy metrics.
You collaborate directly with principal engineering talent. No layers of non-technical account managers, no bureaucratic lag—just clear architectural collaboration and rapid execution.
Whether you need to architect a custom computer vision model, stabilize a critical data extraction pipeline, or interface complex hardware with modern analytics, let's explore how we can help.