2026 product catalog

One governed healthcare AI stack

From EHDS governance and interoperability to FHIR foundations, agentic workflows, clinical intelligence, and evidence-cited reasoning — this catalog maps the TietAI stack to the real work healthcare teams need to ship.

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Compliance & Governance TietAI EHDS

Interoperability Hydra Connect

Unified Data Layer FHIR Studio

Compliance & Governance

TietAI EHDS

EHDS-ready in weeks, not 18 months.

European hospitals face the 2027 EHDS compliance deadline with fragmented metadata, manual governance workflows, and no clear operational route to readiness. TietAI EHDS turns existing research datasets into a governed workspace with HealthDCAT-AP schemas, SHACL validation, GDPR-aware controls, and cross-border catalogue federation.

HealthDCAT-AP R5 Metadata schemas and catalogue structures, ready out of the box.

SHACL validation Automated compliance checks with visible gaps and remediation paths.

HDAB federation RDF-based catalogue publishing for access bodies and partners.

GDPR-aware governance Consent, residency, access controls, and right-to-forget workflows.

TietAI EHDS product screenshot — A governed workspace for HealthDCAT-AP metadata, SHACL validation, GDPR-aware controls, and cross-border catalogue federation.

<4 wks

from kickoff to live EHDS workspace

94% EHDS readiness out of the box

2027 EU deadline Reg. 2025/327 - every hospital

Specification

Schemas: HealthDCAT-AP R5, DCAT-AP 3, ADMS
Validation: SHACL, automated compliance reporting
Governance: GDPR, consent, residency, audit trails
Deployment: EU cloud, self-hosted, BYOC

Interoperability

Hydra Connect

Every system connected through one interoperability layer.

Healthcare interoperability breaks down when clinical, imaging, billing, remote monitoring, and legacy middleware are operated separately. Hydra Connect consolidates those flows into one observable integration layer.

HL7 v2.x & FHIR R4 Bidirectional, standards-compliant routing and transformation.

X12 EDI & DICOM gateway Claims and imaging flows on the same operational fabric.

Mirth migration tooling Legacy interfaces moved with zero planned cutover downtime.

Wearables & IoT Patient-generated health data ingestion for clinical workflows.

Hydra Connect product screenshot — A single operating layer for EHR, HL7, FHIR, X12, DICOM, wearables, IoT, and legacy integration channels.

200+

healthcare connectors and protocols

0 Cutover downtime across Mirth migrations

-60% Manual tickets after consolidation

99.95% Routing uptime observed

Specification

Protocols: HL7 v2.x, FHIR R4, X12 EDI, DICOM, IHE
Connectors: Epic, Cerner, PACS, LIS, custom REST/HL7
Devices: Wearables, IoT, remote patient monitoring
Observability: Per-message tracing and OpenTelemetry

Unified Data Layer

FHIR Studio

All your EHRs reconciled into a FHIR-native foundation.

AI, analytics, and interoperability depend on clean clinical data, but most organizations still work across fragmented EHRs, departmental systems, and proprietary databases.

Enterprise FHIR R4 core Spec-compliant APIs with scalable resource storage and search.

EMPI & reconciliation Probabilistic patient matching across source systems.

SQL-on-FHIR analytics Query the resource graph with familiar analytics tools.

FHIR to OMOP pipelines Population health and research activation from day one.

FHIR Studio product screenshot — A clinical data foundation for analytics, interoperability, AI activation, EMPI matching, and FHIR-to-OMOP workflows.

reconciled patient record across sources

98.7% AI mapping accuracy across HL7 v2 to FHIR

-42% Claim rejections after X12 cleanup

35% Faster adjudication on payer integrations

Specification

Spec: FHIR R4/R5, US Core, IPS profiles
Storage: Postgres plus columnar, horizontally scalable
Analytics: SQL-on-FHIR and FHIR to OMOP transforms
Deployment: EU residency, self-hosted, BYOC

AI Workflow Orchestration

Hydra Agentic Studio

Design healthcare AI workflows visually, at scale.

Healthcare AI cannot scale through isolated scripts, one-off copilots, and disconnected automation tools. Hydra Agentic Studio gives teams a reusable, observable way to compose production workflows.

Visual workflow builder Drag-and-drop DAG canvas with copilot orchestration.

Multi-agent coordination Route, branch, arbitrate, and validate between agents.

Healthcare-native tooling HL7, FHIR, X12, DICOM, and EHR connectors built in.

Runtime governance Audit, observability, policy controls, and versioned workflows.

Hydra Agentic Studio product screenshot — A governed visual canvas for designing multi-agent workflows, connecting healthcare-native components, and validating clinical logic.

94+

reusable healthcare workflow nodes

6 wks Average workflow build down from 6 months

-72% Manual orchestration engineering time

99.95% Pipeline uptime observed across deployments

Specification

Standards: HL7 v2.x, FHIR R4/R5, X12 EDI, DICOM
Runtime: Visual DAG, multi-agent orchestration, 94+ nodes
Governance: Audit log, policy engine, OpenTelemetry
Deployment: EU/US cloud, self-hosted, air-gapped on request

Embedded Healthcare AI

TietAI Intelligence

Healthcare intelligence embedded into every workflow.

Clinical teams lose time documenting encounters, extracting codes, and coordinating follow-up work across systems. TietAI Intelligence turns conversations and signals into review-ready clinical outputs.

Ambient AI transcription Real-time speech-to-text in the consultation room.

SOAP note generation Structured documentation prepared for clinician review.

ICD-10 & SNOMED extraction Automatic coding suggestions with clinician override.

Workflow automation Orders, referrals, and follow-ups triggered in flow.

TietAI Intelligence product screenshot — Ambient transcription, SOAP note drafting, ICD-10 and SNOMED extraction, and workflow automation where clinicians already work.

-71%

documentation time per encounter

+1.6 hr Clinician time back per shift, observed

94% Code-suggest accept rate with review

<400 ms Streaming latency for real-time workflows

Specification

Modality: Ambient speech, multi-speaker, EU and EN languages
Generation: SOAP, discharge summaries, structured exports
Coding: ICD-10, SNOMED CT, LOINC, clinician override
Privacy: HIPAA, GDPR, default no in-room audio persistence

Specialist Clinical Agents

TietAI Clinical Reasoning

Evidence-cited specialist consults for complex cases.

Clinical teams need fast specialist input without losing evidence provenance. TietAI Clinical Reasoning lets clinicians compare cited recommendations and trace the rationale behind each step.

Specialist agents Clinical-domain agents for case review and interpretation.

Cited evidence Recommendations linked to source material and context.

Traceable reasoning Stepwise rationale with source-grade provenance.

Clinical oversight Designed for clinician-in-the-loop decisions.

TietAI Clinical Reasoning product screenshot — Specialist agents that organize patient context, compare cited interpretations, and expose traceable reasoning paths for clinician review.

Cited

evidence in every specialist consult

Faster Specialist review case evidence synthesized

Cited Clinical rationale source-linked outputs

Audit-ready Reasoning trail for clinical oversight

Specification

Use case: Clinical consultation and specialist agent review
Evidence: Cited sources, guideline and literature traceability
Workflow: Clinician-in-the-loop review and documented outputs
Governance: Audit trail, review state, oversight controls

Talk to the team. Start with the right product.

Book a session with TietAI and walk through the stack together — we will map the right entry point for your integration, compliance, agentic, or clinical AI program.

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