Medical Video Intelligence

Raw procedure video, turned into structured clinical data.

AstralTech helps healthcare organizations, medtech companies and clinical research teams unlock the value hidden inside medical procedure video. Our platform is designed to ingest, organize, de-identify, annotate and analyze clinical video at scale, turning unstructured footage into usable intelligence for quality review, research, training and AI development.

Contact us See the platform
Built for
Secure video ingestion AI-assisted annotation De-identification workflows Procedure-level indexing Searchable video libraries Analytics-ready datasets
The gap

Medical video is one of healthcare's most underused data assets.

Every day, procedure rooms, operating rooms, endoscopy units and clinical research teams generate valuable video. But most of it remains difficult to access, search, review, annotate or use for data-driven work. Videos are often stored in fragmented systems. Important moments are buried inside long recordings. Clinical teams lack simple tools for review and quality analysis. AI teams spend months preparing datasets before model development can even begin. Research teams struggle to standardize video-based evidence across sites.

AstralTech was built for this gap. We help teams move from raw clinical footage to structured video data that can support better workflows, faster research and more scalable AI development.

Surgeons reviewing procedure video on multiple monitors in an operating room
The platform

A purpose-built platform for medical procedure video

The platform brings together video ingestion, privacy workflows, AI-assisted indexing, annotation tools and structured exports in one environment. Instead of treating video as a passive file, AstralTech turns it into an organized, searchable and usable data layer.

Ingest clinical video securely

Upload or connect video from existing procedure workflows, devices or archives into a secure cloud-based environment.

Prepare video for responsible use

Support de-identification workflows, metadata review, access controls and audit trails to prepare video for responsible research, development and collaboration.

Make video searchable

Index long videos by procedure type, moment, tag, annotation, event or review status - so teams can find specific moments without manually reviewing hours of footage.

Annotate faster

Use AI-assisted workflows to help clinical experts and data teams label relevant moments more efficiently, while keeping human review in the workflow.

Create AI-ready datasets

Export structured clips, labels and metadata for research, model development or validation workflows.

Review quality signals

Support internal review, training, operational learning and structured case analysis.

How it works

From procedure video to structured intelligence

Capture or upload

Bring procedure video into a secure cloud environment. Supports uploaded files, connected archives and future integrations with clinical video sources.

De-identify and organize

Apply privacy-aware workflows, manage metadata, define permissions and organize videos by site, procedure, study, device, specialty or project.

Index and annotate

Break long videos into usable segments. Add human annotations, AI-assisted labels, clinical tags, quality markers and relevant timestamps.

Search, review and analyze

Find specific videos, moments, tools, phases, events or cases without manually reviewing hours of footage.

Export and activate

Create structured datasets, review packs, training libraries, analytics outputs or model-ready exports for medtech, research and AI development teams.

1

Capture or upload

Bring procedure video into a secure cloud environment.

2

De-identify and organize

Apply privacy-aware workflows and manage metadata.

3

Index and annotate

Break long videos into usable segments with AI-assisted labels.

4

Search, review and analyze

Find specific moments without manually reviewing hours of footage.

5

Export and activate

Create structured datasets and model-ready exports.

Core capabilities

Everything needed to work with medical video at scale

Ideal for:

  • Clinical research
  • Medtech product
  • AI development
  • Provider innovation

Secure video workspace

A centralized environment for storing, managing and reviewing procedure video across projects, sites and teams.

Includes:

  • Metadata review
  • Access controls
  • Segment flagging
  • Permissions
  • Audit trails

De-identification support

Privacy-aware workflows to prepare video for research, development and collaboration.

Use it for:

  • Anatomical landmarks
  • Procedure phases
  • Tool presence
  • Clinical events
  • Quality indicators

AI-assisted annotation

Label video faster and more consistently, with human review kept central to the workflow.

Useful for:

  • Case review
  • Training libraries
  • Research cohorts
  • Multi-site projects

Searchable video library

Find and reuse medical video by tag, project, annotation, case type, moment or metadata.

Outputs can include:

  • Clips
  • Frames
  • Timestamps
  • Labels
  • Metadata

Dataset builder

Turn video libraries into structured datasets for AI model development, research and validation.

Potential uses:

  • Quality review
  • Operational insight
  • Research monitoring
  • Dataset readiness

Analytics foundation

Structured views around procedure-level activity, review status, annotation progress and workflow signals.

Use cases

Designed for practical B2B workflows

Medical video data preparation

Organize files, structure metadata, apply review workflows and create clean, usable datasets from raw procedure footage.

Surgical and endoscopy review

Create searchable libraries for internal review, training and procedural learning. Help teams move from scattered recordings to structured case libraries that are easier to review and reuse.

AI dataset development

Support medtech and AI teams that need labeled video data to develop, train, test or validate computer vision models. AstralTech helps reduce the friction between clinical footage and AI-ready datasets.

Clinical research workflows

Help research teams manage video evidence across studies, sites and reviewers. Structure video-based workflows around consistent labels, review status, permissions and exports.

Quality and training programs

Support procedure teams that want to review cases, identify learning opportunities and build training libraries from real-world clinical video.

MedTech product development

Help device companies and digital health teams understand how their products are used in real-world procedures, prepare video datasets and build evidence for new AI-enabled capabilities.

Who it's for

Built for teams turning clinical video into value

Clinical team reviewing procedure video on a monitor in a hospital corridor

Healthcare providers

For hospitals, surgical centers, endoscopy units and innovation teams that want to make procedure video easier to manage, review and learn from.

AstralTech can support:
  • Video libraries
  • Internal review
  • Training workflows
  • Quality improvement
  • Research collaboration
  • AI readiness
Medical device engineer examining a handheld diagnostic device

MedTech companies

For medical device, robotic surgery, endoscopy, imaging and digital health companies that need structured video data for product development and AI-enabled innovation.

AstralTech can support:
  • Product research
  • Clinical video datasets
  • Human-in-the-loop annotation
  • Workflow analysis
  • AI model development
  • Multi-site projects
Clinical research team reviewing study protocol data on a laptop

Clinical research teams

For sponsors, CROs, academic groups and research networks that need to manage video-based evidence across studies and sites.

AstralTech can support:
  • Study-specific repositories
  • Reviewer workflows
  • Structured annotation
  • Video-based endpoints
  • Dataset exports
  • Evidence organization
AI and computer vision team reviewing a medical imaging model dashboard

AI and computer vision teams

For teams building models on medical video that need secure infrastructure, expert annotation workflows and structured exports.

AstralTech can support:
  • Dataset curation
  • Labeling workflows
  • Model-ready exports
  • Review cycles
  • Data quality checks
  • Project traceability
Why AstralTech

We focus on the data layer behind medical video intelligence

Many solutions focus on one clinical use case. AstralTech focuses on the foundation: making medical procedure video usable, searchable and ready for structured work.

Procedure-first

Built around the reality of clinical procedure video, not generic video management.

Cloud-scale

Designed for high-volume ingestion, processing, storage and export.

Human-in-the-loop

Supports expert review and annotation rather than removing clinicians from the workflow.

AI-ready

Helps teams prepare structured datasets for model development, validation and research workflows.

Workflow-aware

Built for practical B2B workflows across providers, medtech companies and research teams.

Responsible by design

Designed with privacy, permissions, traceability and regulated environments in mind.

Security and compliance

Designed for sensitive clinical video workflows

Medical video is sensitive. AstralTech is being built with security, privacy and controlled access as core product principles — secure cloud infrastructure, role-based permissions, project-level access, audit trails, de-identification workflows and controlled exports.

AstralTech is not a replacement for clinical judgment. Diagnostic or treatment-related use cases may require separate validation, regulatory review and approvals depending on intended use and market.

Security principles

  • Secure cloud architecture
  • Role-based access control
  • Project-level permissions
  • Audit logs
  • De-identification workflows
  • Controlled data exports
  • Human review workflows
  • Privacy-aware design
Early partners

Building with healthcare, medtech and research partners

We're looking to work with teams that have medical video archives, ongoing procedure workflows, AI development goals, research projects or quality review needs.

A good early partner has

  • Existing procedure video
  • A clear research, training, quality or AI objective
  • A need to structure or annotate video at scale
  • Internal clinical or technical stakeholders
  • Interest in secure cloud-based collaboration
Become an early partner
About

A health tech company focused on Medical Video Intelligence

We help healthcare organizations, medtech companies and clinical research teams transform raw procedure video into structured, searchable and AI-ready clinical data. Our work sits at the intersection of medical video, cloud infrastructure, computer vision, data workflows and clinical research enablement.

We're building AstralTech for the teams that see medical video as more than a recording — as a source of insight, evidence, training and innovation when it's properly organized, protected and activated.

Our first focus is the data layer: secure ingestion, de-identification support, indexing, annotation, search and dataset preparation. Over time, that foundation can support more advanced analytics and AI modules for specific procedure workflows.

FAQ

Frequently asked questions

What does AstralTech do?

AstralTech helps teams turn medical procedure video into structured, searchable and AI-ready clinical data. The platform supports secure ingestion, organization, de-identification workflows, annotation, indexing, search, review and dataset export.

Is AstralTech an AI diagnostic tool?

Not at this stage. AstralTech is a medical video data and workflow platform, designed to support research, quality review, training, annotation and AI dataset development. Any diagnostic or treatment-related use case would require appropriate validation and regulatory review.

What types of video can AstralTech support?

Procedure-based medical video — including surgical video, endoscopy video, ultrasound clips and other clinical sources where teams need to organize, annotate, search or prepare data for research and AI workflows.

Who is AstralTech built for?

Healthcare providers, medtech companies, clinical research teams, CROs, sponsors, AI teams and innovation groups working with medical video.

Can AstralTech help with annotation?

Yes. The platform supports human-in-the-loop annotation workflows — expert review, timestamped labels, tags, procedure events and structured exports for AI development or research.

Can the platform help with de-identification?

AstralTech is being built with privacy-aware workflows, metadata review, access controls and de-identification support. The exact workflow depends on video type, use case, jurisdiction and customer requirements.

Does AstralTech replace existing hospital systems?

No. It's a specialized intelligence layer for medical procedure video, designed to work alongside existing storage, workflow, research and clinical systems.

What makes AstralTech different from a generic video platform?

Generic video platforms store and play video. AstralTech is designed for clinical procedure video, with workflows for de-identification, annotation, indexing, search, dataset creation, review and AI readiness.

Can medtech companies use AstralTech?

Yes. Medtech companies can use AstralTech to structure clinical video data, support product research, prepare AI datasets, manage annotation workflows and analyze how procedure video can support product development.

Is AstralTech available for pilots?

Yes. AstralTech is best suited for early partners with existing procedure video and a clear use case around research, AI development, quality review, training or structured video data preparation.

Contact

Let's talk about your medical video workflow

Have large-scale procedure video that is difficult to use, search, annotate or prepare for AI? AstralTech helps teams turn raw medical video into structured clinical data.