Tengrium published a co-design architecture treating youth, clinicians, and social service providers as concurrent design inputs rather than downstream users.
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Participatory design as a systems constraint, not a UX afterthought, is the operative claim in work targeting trauma-informed digital tools for youth in child welfare. T…
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Tengrium
Confidential compute infrastructure for health data. Attested inference inside hardware enclaves.
- Industry
- Technology, Information and Internet
- Company size
- 1 employee
About Tengrium
Tengrium builds confidential compute infrastructure for organizations that hold health data. The core product, Tengrium Vault, ensures that data is decrypted only inside an attested AWS Nitro Enclave — never visible to operators, including Tengrium. Every inference output carries a cryptographic certificate binding the model hash, data hash, and attestation together. Vault is schema-agnostic: structured clinical records (FHIR R4, HL7, CDA), clinical narrative, medical imaging (DICOM — MRI, CT, PET), genomic and molecular data (WGS, WES, RNA-seq, methylation arrays, proteomics), biomarkers, longitudinal time-series from wearables and monitors, and patient-reported outcomes. Higher-level intelligence products are built on the Vault foundation: a Clinical Intelligence Engine for federated AI diagnostics and predictive analytics, patient-specific Digital Twins for simulation and intervention planning, and a Hybrid Human-AI Harness for clinical workflow orchestration. Tengrium is model-agnostic. Customers deploy their own inference pipelines — disease phenotyping, trajectory prediction, clinical synthesis — inside the attested boundary under custodian-controlled encryption keys.
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Research & Knowledge
Tengrium published the FAIR-EC protocol paper describing a federated research network spanning Duke Health and Singapore General Hospital with over 2 million retrospective EC encounters.
Research & Knowledge
Tengrium constructed a 4,084-question wearable reasoning benchmark that formally decomposes longitudinal wearable reasoning into a 2x2 taxonomy.
Research & Knowledge
Tengrium published the Clifti-GPT paper quantifying how much data-protection policies cost in heterogeneous clinical cohorts.
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