Skip to content
00Platform

The intelligence layer behind
smart wards.

A device-agnostic clinical intelligence stack that reads any bedside monitor, structures vitals in real time, reasons over physiology, and turns those signals into evidence-linked clinical action.

asta — hr forecast · bed 5next 30 min
ASTA heart-rate forecast for bed 5: the recorded trace hands off to the trained transformer's forecast line with its dotted interval band — last recorded 94 bpm, model direction falling, next model point 91.7 bpm at plus fifteen minutes.
Live · demo ward
OEM monitor brands13+
CV extraction accuracy86%
Labeled monitor frames088M+
Hospital deployments08+
01Clinical intelligence stack

Three productized layers. One clinical intelligence system.

ASTA combines monitor reading, physiological reasoning, and clinical output in one continuous path from signal to bedside action.

01Computer vision
hr 072spo2 098rr 16
02PPLM reasoning
03Clinical output

Escalation advised

74%
01Layer

Computer Vision Layer

Reads existing bedside monitors and converts displayed numerics into structured vital streams without APIs, hardware taps, or vendor-specific integration.
  • Extracts HR, BP, SpO2, and RR in real time
  • Supports 15+ OEM monitor brands
  • No API or hardware tap required
  • Deploys without vendor lock-in
02Layer

PPLM Reasoning Layer

A 10–20B parameter physiological language model reasons over continuous vital trajectories to surface deterioration context. Live deployment integration coming soon.
  • 10–20B parameter physiological language model
  • Trajectory-aware reasoning over continuous windows
  • Ranked deterioration context
  • Evidence-linked interpretation before output
03Layer

Clinical Output Layer

Frames evidence-linked outputs and escalation guidance so the receiving nurse or clinician gets usable bedside context.
  • Evidence-linked bedside outputs
  • Role-aware escalation support
  • Recommended next-step framing
  • Explainable action at the endpoint
asta — clinical intelligence deep divesound on click
Click for sound
Fig. 1 — Clinical intelligence deep dive: a narrated walkthrough of how monitor reading, physiological reasoning, and clinical output operate as one system
asta workspace — council brainmodel reviews
ASTA council brain view: a pentagon of five model nodes named Lumen, Pulse, Aegis, Nyra and Atlas around a central ASTA council node, with the selected node Lumen showing 65 percent confidence, a review finding of elevated heart rate with waveform evidence, and a suggested ECG check.
Fig. 2 — Independent model review: five specialist models sit around the ASTA council; the active node returns its finding, confidence, and suggested check before a result is surfaced · recorded from the ASTA clinical workspace

From monitor reading to reasoning to action, ASTA operates as one clinical intelligence loop.

End of section 02
02Signal flow

From monitor pixels to clinical action.

A simplified view of how ASTA moves from bedside monitor display to evidence-linked clinical output.

00

Monitor display

ASTA starts with the bedside monitor already in use.

01

Structured extraction

Computer vision converts displayed numerics into structured, time-stamped vitals.

02

Physiological embedding

Vital windows are normalized into machine-readable physiological state embeddings.

03

Deterioration interpretation

Alerts trigger on vitals exceeding threshold and on camera obstruction detection. PPLM ranks deterioration context above the raw alert.

04

Clinical output

Vitals are captured continuously every 5 seconds, not static snapshots. Output reflects current patient trajectory, framed for the receiving clinical role.

03Computer vision layer

The monitor-reading layer that unlocks deployment.

ASTA begins on the hospital's existing bedside monitors, so deployment does not wait on proprietary integrations, hardware taps, or a monitor refresh cycle.

asta workspace — ecg waveform workbenchlive pi frame · confidence 65%
ASTA ECG waveform workbench: a bedside camera photo of a Mindray patient monitor with a yellow detection box drawn around the ECG strip, R-peak markers, and a result strip reading one region found, six likely R-peaks marked, clinician confirms or corrects.
Fig. 3 — The camera reads the monitor: a bedside frame of a Mindray display with ASTA's detection box around the ECG strip and six likely R-peaks marked for clinician confirmation · recorded from the ASTA clinical workspace
01

Reads existing bedside monitors

ASTA works with the monitor already at the bed rather than requiring a new fleet or a vendor feed.
02

Real-time structured vital extraction

Displayed numerics become structured HR, BP, SpO2, and RR streams for downstream reasoning.
03

No monitor-side IT dependency

Monitor reading starts without hospital IT integration, proprietary APIs, or hardware taps.
04

Monitor-facing capture, not patient surveillance

The capture point is the monitor display. The workflow is built around numerical data extraction, not patient imagery.
13+
OEM brands
Device-agnostic monitor coverage
86%
CV accuracy
Monitor-reading extraction accuracy
4s
Capture cadence
Continuous vital capture every 5 seconds
0
API dependency
No API required for monitor reading
01
Screen locate

Identify the bedside monitor region in the capture frame.

02
Layout classify

Recognize OEM-specific layouts and select the right reading template.

03
Value extract

Apply OCR and parsing to vitals and displayed numerics.

04
Signal normalize

Time-stamp and standardize values for downstream reasoning.

Fig. 4 — Four-stage extraction pipeline.

Vendor-agnostic monitor reading makes ASTA additive to the infrastructure already in place.

04PPLM reasoning layer

Physiological reasoning beyond threshold-only monitoring.

PPLM is what turns monitor reading into clinical intelligence. A 10–20B parameter physiological language model reasons over continuous trajectories and pattern shifts so output reflects deterioration context, not just a line crossing or a static score. Live deployment integration is coming soon.

01

Continuous trajectories

Looks at how vitals move across time windows, not one reading at a time.
02

Pattern interpretation

Detects deterioration signatures that threshold logic may miss or detect late.
03

Ranked clinical context

Surfaces likely deterioration context instead of sending a raw alert alone.
04

Evidence-linked output

Carries the reasoning pathway into the output so escalation remains explainable.
asta workspace — commandrisk: moderate · demo ward
ASTA command view: a generated assessment reading elevated heart rate with waveform evidence suggests potential arrhythmia, a 74 percent assessment-confidence ring with data, specialists and council scores, a recommended ECG investigation with model reasoning, and observed vital movement tiles.
Fig. 5 — Generated assessment: 74% assessment confidence with its checkable support (data, specialists, council), the recommended investigation with model reasoning, and observed movement in the recorded window · recorded from the ASTA clinical workspace

Threshold-only alerts

Escalate after a single value crosses a line.

Static dashboards

Show status snapshots but do not reason over change over time.

Simple OCR systems

Extract numbers accurately but stop before clinical interpretation.

ASTA PPLM

Interprets trajectories, adds deterioration context, and produces evidence-linked output that is more useful than a simple alert.

This is where ASTA moves beyond monitor reading into clinically useful reasoning.

End of section 05
05Deployment architecture

Designed to fit hospital environments, not rebuild them.

ASTA fits hospital environments with monitor-facing bedside capture, a controlled processing posture, and interoperable outputs across on-prem, hybrid, or managed cloud deployment.

01

Bedside capture

Monitor-facing capture reads displayed numerics from the bedside monitor already in use.

02

Local extraction

Vital streams are extracted, normalized, and buffered for continuous downstream reasoning.

03

Controlled deployment posture

Hospitals can adopt on-prem, hybrid, or managed cloud deployment under their own governance model.

04

Interoperable outputs

Structured outputs and escalation context can map into HL7/FHIR-aligned workflows when needed.

01

Numerical data only

No patient imagery is required in the monitoring workflow. The design centers on monitor numerics, not patient video.
02

Hospital-defined data residency

Retention and environment posture are defined by the hospital and enforced by the selected deployment model.
03

Flexible infrastructure posture

ASTA can operate in on-prem, hybrid, or managed cloud environments depending on site requirements.
04

Additive integration model

Monitor reading starts without hospital IT integration. Downstream workflow connectivity can be added when the site is ready.

Monitor reading starts without hospital IT integration. Workflow and EMR connectivity can be added as later layers, not day-one prerequisites.

06Validation & benchmarks

Proof points that stand up to technical review.

ASTA's public proof stays focused on what serious buyers need to evaluate: monitor-reading accuracy, cross-OEM coverage, training scale, field deployment, and end-to-end latency.

platform.validation2026-09-05 · 11:42:07
86%
CV accuracy
Monitor-reading extraction accuracy
13+
OEM brands
Device-agnostic monitor support
088M+
Labeled frames
Training scale behind the CV layer
08+
Hospitals
Live deployment footprint
22
Devices live
Current field footprint
<1s
Monitor to action
Low-latency monitor-to-output pipeline
review.notes

Monitor reading

98% CV accuracy across 15+ OEM monitor brands

Shows cross-device monitor reading rather than one-vendor optimization.

Training scale

100M+ labeled monitor frames

Supports layout robustness across real display conditions.

Real-world operation

10+ hospital deployments and 25 live devices

Shows field usage in hospital environments, not just lab validation.

For platform evaluation, ASTA leads with monitor-reading accuracy, device breadth, real hospital operation, and low-latency output.

07Platform walkthrough

Review ASTA's platform architecture and deployment fit.

A focused session with the ASTA platform team covering monitor compatibility, reasoning architecture, deployment posture, and technical fit for your hospital.

End of section 08