AI Healthcare Software Solutions

Reduce diagnostic delays and errors with explainable imaging AI clinicians can trust. Enhanced by clinician override and safety guardrails, our AI medical image analysis tools designed for FDA/CE pathways with explainability and audit trails to ease regulatory review.

Cut hours of clinical documentation and coding time. NEKLO builds HIPAA-ready NLP models that can be integrated with major EHRs (Epic, Cerner, Allscripts), as well as FHIR APIs. We create solutions for clinician adoption, solving burnout and interoperability issues.

Get real-time, interoperable models with validated MLOps for risk management and operational forecasting. Our solutions cover readmissions, staffing needs, no-shows, and resource bottlenecks. Predictions stay accurate, explainable, and audit-ready, addressing tech debt, failed dashboards, and poor ROI visibility.

Boost patient satisfaction with AI medical assistants that provide safe, accurate guidance. We build secure, compliant, clinician-supervised AI assistants, minimizing risks like diagnostic errors and unsafe outputs. Our chatbots increase patient satisfaction and provide tailored guidance.

We deliver healthcare AI software for revenue cycle automation that accelerates charge capture, coding, and claims. Our solutions reduce manual effort, lower denials, and speed up reimbursements — fully aligned with ICD-10, CPT, HL7, and HIPAA/CMS rules.

NEKLO builds software under IEC 62304/ISO 13485 standards, making connected medical devices reliable in real clinical use. Our solutions process data, filter false or irrelevant signals, and reduce alert fatigue, integrating with wearables and monitoring systems for safe, trusted care.

We provide regulatory-ready data infrastructure with validation and full traceability. Designed for pharmacology and life sciences research, our AI powered healthcare solutions support safety audits, streamline clinical trial data handling, and speed regulatory acceptance.

Our experts design and train domain-adapted GenAI with bias safeguards and human-in-the-loop controls. Built for compliance-sensitive use cases, it enables safe knowledge management, clinical decision support, and operational automation — addressing black-box risks and liability fears.