Prepare, build, validate, and deploy state-of-the-art AI models faster with less fragmentation and full traceability to production.
01/The compression
From data ingestion through validated model handoff to a production-ready package.
Assisted labelling with reviewer workflows, drift detection, and audit-grade lineage.
Aligned with regulated healthcare and manufacturing quality requirements out of the box.
ModAstera is designed for teams working in operational environments where data quality, workflow speed, traceability, and deployment readiness all matter.
02/The state of regulated AI today
Regulated AI rarely fails on modelling. It fails on data preparation, validation friction, and tooling that healthcare and manufacturing experts can't operate. We rebuilt the pipeline around those three failure modes.
A·Cost
Custom pipelines, manual validation, and months-long build cycles drain capital, clinical impact, and manufacturing throughput. Most teams ship one workflow in the time they should be improving five.
Industry baseline
Over $100K per project · 6 month median delay
B·Tooling
Clinicians, researchers, quality engineers, and operations teams shouldn't need to wrangle Kubernetes to label scans, inspect defects, or validate sensor data. ML toolkits dressed up as platforms slow expert sign-off.
Pattern observed
Fragmented stacks, deferred domain sign-off
C·Data
Poor labels, inconsistent segmentation, inspection gaps, and missing audit trails make models unsafe to deploy and difficult to certify. The model is downstream of the data.
Where the time goes
~64% of project time spent on data work
ModAstera brings the critical stages of AI delivery into a single operating surface so teams stop losing time to disconnected tools, handoffs, and internal rebuilds.
01 Label and prepare data
Turn raw datasets into training-ready assets with assisted labeling, review workflows, structured metadata, and traceable lineage.
See the platform02 Build and validate
Move from experiment setup to evaluation in one workflow instead of stitching together separate tools for annotation, training, tracking, and review.
See the platform03 Deploy with traceability
Bring models closer to production with clearer records, repeatable workflows, and less process debt across validation and deployment steps.
See the platform04/Solutions
Healthcare and manufacturing teams face different data, reviewers, and deployment constraints. ModAstera keeps both paths on one traceable workflow from data preparation to production readiness.
A · Healthcare
Move medical AI from annotation and validation into deployment-ready workflows with clearer lineage, expert review, and regulatory evidence.
Clinical datasets, assisted annotation, model validation, and audit-ready handoff in one path.
Explore healthcare solutionsB · Manufacturing
Turn inspection, sensor, and operational data into deployable AI workflows for quality, reliability, and production-scale improvement.
Defect inspection, process signals, reliability analytics, and repeatable deployment records.
Explore manufacturing solutionsUse Cases
Each story shows the bottleneck, what changed inside the workflow, and the operational outcome.
Use Case 01
Use Case 01
Use Case 02
Use Case 02
Use Case 03
Use Case 03
Use Case 04
Use Case 04
06/What partners say
Healthcare, manufacturing, research, and regulatory teams use ModAstera to move faster than they thought possible.
With the support of ModAstera, we have trained a model to learn tongue diagnosis from Traditional Chinese Medicine doctors and classify features from tongue images. By leveraging ModAstera's MAEA, we can build AI models without writing code. For startups like ours, which operate with limited resources, this enables us to reduce development costs and accelerate AI development—making it an especially attractive solution.
CEO, PulSec Inc.
ModAstera is tackling one of the most critical challenges in healthcare today—making medical AI truly accessible and scalable. Their approach is not only visionary but also grounded in practical execution. As a medical data company, Surg storage Co.,Ltd. is proud to support such forward-thinking innovators. We look forward to contributing to ModAstera's journey as they continue shaping the future of medical AI.
CEO, Surg Storage
I have collaborated with the team of ModAstera regarding a development of convolutional neuronal network (CNN) models to predict aging and lifestyle/cardiovascular diseases from medical image phenotypes. The work of ModAstera was fast and has provided CNN models with high predictability. I very much appreciate the contribution of ModAstera with the great supports on our project.
Tohoku University Hospital
ModAstera's AI technology helped us leverage our domain expertise to build Document Compliance Engine (DCE), a robust AI-powered regulatory compliance product for the pharma industry in Africa and beyond. DCE's capabilities have also positioned us for long-term partnerships with regulators who need more efficient ways to review applications without compromising quality. Without ModAstera's technology, building this product would have taken significantly longer to develop. The quality of insights provided was helpful in refining the product architecture, user experience, and overall design strategy. We see this as a long-term partnership as our business scales and regulatory needs evolve.
CEO, Infinity Health Africa
05/Products
MAEA is the platform we sell. Hebra is one specialist product built on it, proof that the same workflow can ship real domain services while supporting both medical and manufacturing AI programs.
•MAEA · Platform
End-to-end AI development and MLOps for high-stakes workflows. Annotation, training, evaluation, governance, and deployment in one operating surface.
•Hebra · Specialist product
Hebra helps clinician-led independent practices turn patient interest into structured, consultation-ready cases through a branded entry experience, stronger intake, and specialist-care workflow.
Select the perfect plan for your healthcare AI development needs
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Team
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08/Talk to us
Book a live walkthrough to see how ModAstera can shorten the path from raw data to deployable AI models in your environment.
