We build, fine-tune, and deploy our own healthcare models and autonomous agents inside a live platform — screening, workflows, and operations across the network. AI that helps the people who deliver care; it does not replace clinicians.
01 / THE INTELLIGENCE STACK
Healthcare intelligence floor · live platform
platform · live
0101 · Models
UP ModelsUP develops and runs proprietary AI models for screening support, diagnostics intelligence, deployment planning, and operational visibility across the Healthcare Platform.
0202 · Partner AI
Partner AIVetted partner AI systems extend platform capability when approved, complementing UP-built models without blurring the distinction between proprietary and partner intelligence.
0303 · Screening
AiBCDScreening programs connect intake, AI-supported workflow design, diagnostic confirmation pathways, and follow-up readiness — with AI supporting teams, not replacing clinical judgment.
0404 · Diagnostics
DiagnosticsIVD, POCT, genomics, and screening workflows connect to the operating model instead of living as isolated devices — so results move with the patient and the lab network.
0505 · X Cloud
XCloudPatient intake, order flow, results movement, health access points, and visibility systems connect the work across clinics, labs, and partner sites on one platform.
0606 · Quality
QualitySOPs, training rhythm, supply continuity, and turnaround discipline stay visible so teams can see performance patterns and maintain quality systems after go-live.
0707 · Operations
OperationsOperational intelligence turns platform data into deployment planning, throughput insight, and optimization support — making each launch more repeatable across markets.
0808 · UP LLM
UP LLMUP is fine-tuning a proprietary healthcare LLM on operating and clinical workflow data — built for domain tasks generic models cannot do well inside labs, clinics, and hospital workspaces.
0909 · Agents
AgentsLong-running agents orchestrate supply forecasting, QC anomaly detection, scheduling, deployment planning, and research experimentation — self-organizing around what the network needs next.
// handoff: screening service — human mode
02 / AI-SUPPORTED SCREENING
AiBCD is a non-contact, radiation-free breast-health screening service by Universal Prognostics — thermal sensing with AI assistance, always with physician review. It is a pre-screening tool that complements mammography, ultrasound, MRI, and biopsy. It is never a replacement, and never a standalone diagnosis.
0%
five-year survival when detected early
1 in 0
women face breast cancer
0 min
from arrival to consultation
0
touch, radiation, or pain
When caught early, outcomes change dramatically. AiBCD makes that early moment easier — fifteen minutes, no touch, no radiation, no pain.
Tumors quietly recruit blood vessels long before they can be felt. AiBCD reads subtle thermal patterns with a medical-grade sensor; our AI maps them — reviewed by a doctor — to surface the earliest signals.
No touch
Non-contact by design.
No pain
A calm, comfortable experience.
No radiation
Radiation-free thermal sensing.
Complete privacy
Privacy built in by design.
01
Book
Choose your day. We handle the rest.
02
Scan
Five minutes. No touch, no radiation, no pain.
03
Review
Walk through your report with a physician.
Regulatory status varies by market.
// returning to network operations
03 / LIVE IN PRODUCTION
Not roadmap slides. Autonomous agents and fine-tuned models across the live network — watch the work happen.
19:49:22› reagent forecast updated · Lagos core lab
19:49:25› QC anomaly flagged · hematology lane 2
19:49:28› schedule rebalanced · Kinshasa hub
19:49:31› intake triage assisted · multilingual
19:49:34› deployment plan revised · Riyadh region
19:49:37› screening queue routed · AiBCD booth 3✓ done
feed v2.4 · lagos-west · 32ms
AI tools embedded in HIS / X Cloud assist lab techs, intake, reporting, and multilingual patient communication.
Agents orchestrate supply and reagent forecasting, quality-control anomaly detection, scheduling, and deployment planning across the network.
Proprietary models fine-tuned on UP's operating and healthcare data for domain tasks generic models can't do well.
AI-supported screening connected to diagnostic confirmation pathways — supporting clinicians, never replacing them.
Responsible AI // hard rules
UP AI supports workflows and operational visibility. It does not replace clinicians, regulated diagnostic confirmation, pathologists, laboratory quality systems, or local regulatory requirements.
The open frontier
Our foundational research is open — including AutoScientists, a decentralized team of AI agents for long-running scientific experimentation, developed in collaboration with Harvard.
