Stay up to date with the latest articles, updates and news from ModAstera.
How expert teams can turn internal reports, images, workflows, and operational data into customer-facing intelligence products that create revenue, improve reporting, and make expertise visible.
A practical way to measure AI ROI before, during, and after deployment, especially for expert teams turning messy operational data into working intelligence systems.
A practical framework for turning messy operational, clinical, manufacturing, research, or service data into working intelligence systems that support real decisions.
Automated ML can speed up visual inspection experiments, but deployable factory AI still depends on image capture, labels, validation, integration, and monitoring.
How manufacturers can use automated machine learning for predictive maintenance without overlooking data quality, asset context, validation, and deployment realities.
Many AI teams can build impressive prototypes. Fewer turn them into monitored, trusted systems that improve real decisions. This article explains where the gap usually appears and how to close it.
AutoML can help manufacturers move faster from factory data to candidate models, but deployable manufacturing AI still depends on data quality, process context, integration, monitoring, cybersecurity, and operational ownership.
Automated ML can speed up medical AI development, but deployable healthcare models still depend on clear clinical tasks, data quality, validation, workflow integration, monitoring, and governance.
ModAstera and Wellgen Medical are partnering to build AI screening models for cancer cytology, combining FDA-cleared tomographic imaging, clinical datasets, and rapid medical AI deployment.
ModAstera welcomes Prof. Christian Aldridge, a leading UK dermatologist and skin cancer authority, as Chief Medical Officer to drive clinical governance across Hebra and MAEA.
ModAstera participated in the Qualcomm AI Program for Innovators (QAIPI) 2025 APAC Demo Day in Seoul, showcasing our vision for secure, privacy-preserving medical AI and deepening collaboration within the global AI ecosystem.
This U.S. immersion will accelerate partnerships, pilots, and MAEA’s rollout to advance medical AI.
The integration of AI and LLMs into EHRs is not just a technological upgrade—it’s a necessary evolution to reduce burnout, improve accuracy, and deliver better patient outcomes.
Diagnostic AI can boost healthcare quality and efficiency, exactly what Japan needs amid growing systemic pressures. Realizing this promise demands coordinated action from clinicians, engineers, policymakers, and industry leaders.
MAEA Automates AI Development for medical applications cutting R&D cycles from months to days.
ModAstera has been selected as one of 15 finalists in the Qualcomm AI Program for Innovators (QAIPI) 2025 - APAC, receiving 6 months of mentorship and platform support to accelerate AI development.
We are collaborating with Antler Japan and MeltingHack Community to bring together healthcare and AI enthusiasts in a time-constrained setting under one roof.
Out of 50 participating startups, and after going through 3 rounds of selection, ModAstera was awarded the Champion of the Pitch Contest.
In today's fast-evolving world of automation and AI, organizations must rethink traditional workflows. AI agents are reshaping the way we work by moving beyond rigid, rule-based systems to adaptive, intelligent solutions.
As we stand at the intersection of biology and technology, the parallels are clear. Automation empowers innovation. Whether it’s a machine creating DNA probes or an AI model analyzing patient data, the goal remains the same. To free up human potential for the discoveries that truly change the world.
After 10 weeks of the Antler Japan Residency Program 3, we are proud to announce that our co-founders, Joshua and Tetsuro, have successfully completed the program.