Healthcare data is fragmented, risky, and expensive.
Point connectors and one-off ETL pipelines cannot keep up with EHR upgrades, EHDS obligations, and the pace of AI. The cost shows up everywhere.
of clinician time lost to copy-paste
Data retyped between EHRs, labs, and billing systems because nothing talks to each other.
in revenue leakage and rework
Disparate systems cause denied claims, duplicate tests, and integration projects that never finish.
EHDS arrives, ready or not
Every provider must expose FHIR-compliant, catalogued datasets. Most stacks are years away.
A single backbone for clinical data, agents, and data spaces.
Stop gluing together MLLP relays, mapping scripts, RBAC shims, and a side quest for a data catalogue. TietAI gives you the whole stack, from raw HL7 at the edge to EHDS-ready, AI-consumable datasets.
- Every layer talks natively, no bespoke glue code
- Deploy managed, private cloud, or fully on-prem
- Pay-as-you-go, no six-figure integration projects
- Every action signed, audited, and reversible
Different roles. Same platform.
Clear starting points for the people who actually have to ship, and the executives who pay for it.
IT and integration leads
Replace bespoke interfaces with a governed platform. Fewer pager alerts, faster changes.
- Every protocol, every EHR
- Full observability and RBAC
- Deploy cloud or on-prem
Healthcare executives
Trade multi-year integration programmes for measurable outcomes on a predictable subscription.
- Weeks to first value
- No upfront capex
- Board-ready compliance
Clinical labs and healthtech
Plug your product into every hospital network without becoming an integration company.
- White-label connectors
- Agent-ready APIs
- Cert-ready compliance
Researchers and data teams
Anonymized, OMOP-aligned datasets ready for cohort studies, ML training, and EHDS requests.
- HealthDCAT-AP catalogues
- SHACL data-quality checks
- Secure Processing Envs
Three reasons our clients switched.
Most interoperability tools were built before FHIR R4 was stable and before agents shipped in production. We rebuilt the stack for what healthcare actually needs in 2026.
AI-native data transformation
We do not hand-write mappings between ICD-10, SNOMED, and LOINC. Our models do it with confidence scores, human-in-the-loop, and audit trails. What used to be weeks of terminologist work takes hours.
EHDS-ready by design
Native HealthDCAT-AP catalogues, SHACL-validated datasets, Secure Processing Environments, and cross-border governance, not a bolt-on. When 2027 lands, you are already compliant.
Weeks, not quarters
End-to-end: first production integration in under three weeks. No six-figure integration projects, no upfront license. Pay as you scale so IT and finance stop negotiating and start shipping.
Keep up with the healthcare AI stack.
Field notes, playbooks, and decks our customers actually use.
Navigating EHDS: key compliance steps
What every European provider needs in place before 2027, from HealthDCAT-AP to secondary-use consent.
Read the guideThe RCM playbook: reclaiming EUR Bn in denied claims
How agentic automation closes revenue leakage between EHR, lab, and billing without a platform swap.
Download deckThe power of synthetic data for better AI
When to use it, when not to, and how to validate models trained on it before clinical exposure.
Read the articleSecure data. Smarter healthcare.
Every frame, certified. Every action, audited. Because move fast does not apply to patient records.
Ready for your data space?
Book a 30-minute working session. We will map your current stack and show you what weeks, not quarters actually looks like for your integrations.