Q3 2026 Public Roadmap · KLAS-Aligned

BytePad is building what your patients & providers need next.

Four customer-driven themes for 2026–2027: AI Global Search expansion, on-premises Local-GPT, FHIR R5 readiness, and broader EHR coverage.

Published in direct response to KLAS Feb 2026 customer feedback. Built for healthcare CIOs and federal program managers.

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100% KLAS AdoptionHITRUST r2 · SOC 2 IIAzure Gov · GovCloud

Public Roadmap

BytePad 2026–2027

Live · Q3 2026

01H2 2026

AI Global Search Expansion

Ask anything. Get a cited answer, instantly.

02H2 2026 – H1 2027

Local-GPT for On-Premises Environments

AI inference that never leaves your network.

03H1 2027

FHIR R5 Readiness

Standards-aligned. Network-ready. TEFCA-compatible.

04H2 2026 → H2 2027

Additional EHR Source-System Coverage

If your legacy system ran it, BytePad can archive it.

Updated quarterly · QBR-reviewed

Details

Four themes. Every one tied to a customer need.

Each theme maps directly to validated feedback from KLAS-interviewed customers or an active regulatory requirement. Nothing speculative.

100%adoption among KLAS-interviewed customers today

H2 2026

AI Global Search Expansion

Ask anything. Get a cited answer, instantly.

BytePad's AI Global Search already enables natural-language retrieval across the entire archived corpus. The next phase adds cross-facility queries, citation-level source attribution on every AI answer, and configurable confidence thresholds for high-stakes clinical lookups. No SQL. No specialist training. Clinicians ask in plain English and get the answer with a document reference.

Cross-facility and multi-tenant natural-language queries
Citation-level source attribution. Every AI answer traces to a specific document and page
Configurable confidence thresholds for high-stakes clinical use cases
Expanded coverage: radiology, pathology, behavioral health document types

Zerodata leaves the customer network

H2 2026 – H1 2027

Local-GPT for On-Premises Environments

AI inference that never leaves your network.

Some healthcare organizations require AI to run entirely within their own perimeter, with no data crossing the firewall. BytePad's local-GPT architecture brings the full AI Global Search experience to air-gapped and on-premises deployments, running a purpose-tuned model on the customer's own infrastructure. Pilot deployments are underway with U.S. health systems in highly regulated environments. Production availability is targeted H1 2027.

Air-gapped inference with zero data egress from the customer network
Purpose-tuned model optimized for healthcare archival query patterns
Runs on customer-managed Azure stack or bare-metal infrastructure
Identical API surface to cloud AI Search, with no workflow changes for end users

R4 → R5upgrade path with zero migration effort for existing BytePad customers

H1 2027

FHIR R5 Readiness

Standards-aligned. Network-ready. TEFCA-compatible.

FHIR R4 is live in BytePad today for outbound data access. External systems can pull archived records via a standards-compliant REST API. The FHIR R5 work expands that surface to cover new R5 resource types, aligns BytePad with USCDI v3 data-class requirements, and adds TEFCA-aligned QHIN query patterns so archived records are accessible across health information networks without point-to-point integrations.

FHIR R5 resource types including updated Encounter and SubscriptionTopic
USCDI v3 data-class alignment across all archived record types
TEFCA-aligned QHIN query support for cross-network record access
Bulk FHIR export for analytics, population health, and payer use cases

40+source system connectors in production today, and growing

H2 2026 → H2 2027

Additional EHR Source-System Coverage

If your legacy system ran it, BytePad can archive it.

BytePad's connector library already covers Epic, Oracle Health, Meditech, Allscripts, McKesson, GE Centricity, and 40+ additional source systems. The roadmap deepens coverage in three areas with the highest volume of active decommissioning requests: behavioral-health platforms, specialty clinical systems in radiology and imaging, and federal mission systems targeted for DoD decommissioning programs.

Behavioral health: Netsmart myEvolv, Credible, Anasazi, Dayforce
Radiology & imaging: PACS/RIS source connectors and DICOM metadata archival
Federal mission systems: AHLTA, CHCS, Essentris for DoD decommissioning
Expanded HL7 v2 variant handling for non-standard legacy message structures

Already live in BytePad.

These aren't roadmap items. They're shipping today.

Full product overview

AI Global Search

100% adoption · KLAS-validated

Epic · Oracle Health · Meditech

EHR connectors, all major versions

HITRUST r2 · SOC 2 II · ISO 27001

All three certifications current

FHIR R4 outbound API

REST-based record access for external systems

Defensible disposition

State-specific retention + tamper-evident log

Role-based access control

By user, facility, and record type

Integrated patient chart view

Unified view across all archived sources

Azure Gov / GovCloud

NIST 800-53 · CMMC L2 · DoD RMF aligned

Customer Commitment · KLAS-Acknowledged · Q3 2026

Quarterly Business Reviews
for every BytePad customer.

Beginning Q3 2026, every production BytePad customer receives a structured Quarterly Business Review. We align on outcomes, surface product needs proactively, and walk through roadmap progress together. This replaces reactive check-ins with a predictable, customer-led cadence.

4×

per year

Covered under standard BytePad engagement.
No add-on contract required.

See these capabilities in your environment.

Existing customers can raise roadmap questions in your QBR or contact your account manager. New to BytePad? Schedule a 30-minute demo and we'll show you what's live and what's coming.

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