PocketGull bridges on-device zero-latency clinical interactions with Google Cloud's high-assurance healthcare data fabric. From fine-tuned Gemini MedLM endpoints to BigQuery longitudinal lakes, clinical AI operates with mathematical calibration and strict HIPAA compliance.
How clinical data flows securely from the point of care into Google Cloud Healthcare API and Vertex AI endpoints without risking unauthorized ePHI exposure.
On-device Chrome Built-in AI and WebGPU scrub all 18 HIPAA § 164.514 identifiers before transmission. Zero raw audio or unmasked identifiers ever leave clinician silicon.
Our SSR server executes on Google Cloud Run with scale-to-zero FinOps. Google Cloud Armor inspects all traffic against OWASP Top 10, enforcing Mozilla HTTP Observatory 125/100 Grade A+ security headers.
Operates under a fully executed HIPAA Business Associate Agreement (BAA). Partitioned into dedicated FHIR R4 (fhir_primary) and DICOM stores for longitudinal clinical storage and BigQuery analytics.
Gemini MedLM and clinical risk models execute inside isolated VPC Service Controls. Conformal prediction layers surround each diagnosis with 95% confidence intervals, refusing to hallucinate when out-of-distribution.
Experience live epistemic calibration running against simulated Google Cloud Vertex AI private healthcare endpoints.
Combining the clinical agility of an independent startup with the unyielding compliance foundation of Google Cloud.
We execute organizational Business Associate Agreements (BAAs) covering Google Cloud Healthcare API, Cloud Storage, BigQuery, and Vertex AI. Electronic Protected Health Information (ePHI) is never used for foundation model training.
Our Vertex AI prediction endpoints run behind isolated perimeter security. Data egress is physically impossible, eliminating inadvertent data exfiltration and credential replay attacks.
By offloading 90% of routine audio transcribing and feature extraction to client edge silicon, our Google Cloud backend consumes minimal datacenter electricity, advancing Google Cloud's net-zero climate pledge.
Standardized FHIR R4 clinical telemetry translates directly into BigQuery schemas, giving population health directors and epidemiologists instant SQL-based analytics across clinical cohorts.
Every response served via our Cloud Run instances passes the highest possible web security standard with dynamic nonces, COOP, COEP, HSTS preload, and zero 'unsafe-inline' script allowances.
Rather than hallucinating false certainty, our Vertex AI pipelines output rigorous mathematical confidence intervals (α = 0.05), abstaining when clinical evidence is incomplete.