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AI proposes, the clinician approves.

From radiology reporting to occupational health, products built by a team that knows the clinical workflow. We also advise on bespoke AI projects for your organisation.

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RoseOS sample screen. The CT slice is a real, de-identified normal study (CC0); the report and interface are samples.

The AI tools and software technologies we work with

  • Claude
  • OpenAI GPT
  • Google Gemini
  • Whisper
  • ElevenLabs
  • n8n
  • DICOM
  • HL7
  • Java
  • PostgreSQL
  • Supabase
  • Python
  • FastAPI
  • Next.js
  • React
  • Flutter
  • Docker
  • Cloudflare

Brand names belong to their respective owners and imply no partnership or endorsement.

Our products

Products for patient records, imaging, pathology, reporting, occupational health and funding. Each is built around its own user's day.

Hospital information system

WebHBYS

From admissions to the lab, from billing to management reports, the hospital record on one platform. It shares the same patient record with PACS.

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Diagram: the modules share the same patient record.

WebHBYS modules

  • Outpatient
  • Admissions
  • Online Booking
  • Inpatients
  • Nursing Observation
  • Operating Theatre
  • Surgery Booking
  • Sterilisation
  • Maternity
  • Haemodialysis
  • Physiotherapy
  • Radiology
  • Laboratory (LIS)
  • Pathology
  • Nuclear Medicine
  • Blood Bank
  • Telediagnosis
  • Mortuary
  • Reception
  • Billing
  • Cashier
  • Payroll
  • Staff
  • Rota and Shifts
  • Stock
  • Procurement
  • Archive
  • Documents
  • Equipment Tracking
  • Fault Tracking
  • Clinical Engineering
  • Medical Waste
  • Cleaning
  • Quality Indicators
  • Statistics
  • Committee Reports
  • Manager Screen
  • Data Sharing
  • SMS
  • Social Services
  • Vehicle and Task Tracking

Radiology reporting

RoseOS

The physician speaks, the report builds live, an AI auditor checks it. The report is the product; the transcript is only an intermediate step.

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  1. 01

    Clinician / DICOM

    Study and image intake

  2. 02

    RoseVoice / Clinical Intelligence

    Dictation and data analysis

  3. 03

    AI Report

    Structured draft

  4. 04

    RoseAudit

    Quality audit

  5. 05

    Clinician Approval

    Physician review

  6. 06

    Final Report

    Approved output

RoseOS workspace and workflow (roseos.app). Every report passes physician approval.

Image archive

Cloud PACS

DICOM-compliant image archiving and distribution that works with radiology workflows and your HIS.

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Cloud PACS sample viewer. CT slices: a real, de-identified normal study (Wikimedia Commons, CC0). Interface and identifiers are samples.

Digital pathology, in pilot

Tele-Pathology

Digitising glass slides with WSI scanners, remote consultation and LIMS/PACS integration. AI-assisted pre-analysis is decision support only; the final decision and sign-off stay with the physician.

Pilot plan: 3 to 5 centres

  1. Specimen intake
  2. Preparation
  3. Scanning (WSI)
  4. Quality control
  5. Secure sharing
  6. Consultation
  7. Reporting

Identification and LIMS records give traceability; results are matched to the LIMS and archived.

More products

  • Teleradiology Software

    Remote reporting and workload distribution software that securely routes studies to off-site radiologists.

    Ask about this product

  • İsgArt

    Occupational health and safety management for OHS providers: OHS processes, lab and PACS report review.

    Ask about this product

  • KashifAI

    AI-assisted grant and funding advisor: call matching and proposal preparation.

    Ask about this product

  • DrSecop

    A digital health solution for physicians and clinics.

    Ask about this product
Request a demo of all products

Healthcare AI: engineering that speaks clinical

AI built on Claude for hospitals, radiology departments and health-tech companies, designed for high-stakes medical settings.

Radiology intelligence

AI-assisted radiology report analysis, DICOM metadata quality control and clinical indication matching. Our RIP platform combines RIS referral data with imaging findings to automate quality workflows for radiology departments.

  • DICOM
  • HL7
  • Clinical NLP
  • Radiology QA

Clinical NLP pipelines

Extract structured information from unstructured clinical notes, discharge summaries and medical reports. Built on 18+ years of medical imaging experience; not a generic chatbot wrapper.

  • NLP
  • ICD coding
  • Report analysis
  • EHR integration

Healthcare workflow automation

Automate referral management, appointment scheduling, patient communication and compliance documentation. KVKK and GDPR compliant by design.

  • KVKK
  • GDPR
  • n8n
  • WhatsApp
  • Patient communication

AI projects built around your organisation

Beyond our products, we design and build AI solutions around your own workflows.

Entry offer

AI Product / Workflow Audit

We start by examining your workflow and data. Together we decide where AI will deliver measurable value and where it will not; then we decide what to build.

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  • AI assistants and agents

    Assistants on WhatsApp, the web and internal tools that work from your organisation’s knowledge.

  • Workflow automation

    Automate forms, email, CRM and reporting with n8n and similar tools.

  • System integrations

    Connect your existing software through APIs, webhooks, HL7 and DICOM.

  • Web and SaaS development

    Build your product from scratch, including authentication, subscriptions and an admin panel.

  • Mobile and PWA

    Single-codebase apps for iOS, Android and the browser.

How we work

Three steps, with something written down at each one.

  1. Discovery

    In a free call we clarify your needs and constraints, then present scope and timeline in writing.

  2. Build

    We build in short cycles and show a working version at the end of each one.

  3. Launch and support

    We go live, monitor and improve. Support scope is set in the contract.

Our team

Our vision

SeckinAI works as a team that is curious about technology and puts research at the centre of its work. We work continuously on clinical natural language processing, medical imaging, speech recognition and health informatics standards such as DICOM and HL7. We measure and compare new models and methods on our own clinical scenarios, and we bring what can be verified into our products. We apply the experience gained in publicly funded R&D projects to solutions that fit the clinician’s workflow and work alongside hospital systems.

Health data is among the most sensitive data there is, and we place that sensitivity at the very start of the design. We keep the scope of data to a minimum, limit access, and treat KVKK and GDPR requirements as part of the architecture rather than a checklist added later. In development and testing we work with synthetic and anonymised data instead of real patient data. AI makes suggestions; the decision and approval always rest with the clinician.

Cevdet Karakaya

Founder and CEO, SeckinAI

R&D Project Manager · Medical Imaging AI Engineer · Health Informatics PhD Candidate

Radiology technologist and medical imaging AI engineer with 18+ years in the field. Led five TÜBİTAK-funded AI projects at Solvent Yazılım A.Ş.; PhD candidate in Health Finance at Marmara University.

Pilot client, 2026

Before RIP, our radiology QA process was manual, inconsistent, and invisible to hospital management. SeckinAI's platform gave us structured workflows, automated DICOM metadata checks, and a real-time dashboard we actually use. The clinical NLP understands radiology language, not just keywords.
Radiology Department Lead, Meriç Sağlık, Istanbul
  • Cevdet Karakaya, founder of SeckinAI

    Cevdet Karakaya

    CEO

  • Mert Ataç

    CTO

  • Hande Özarslan

    CCO

Frequently asked questions

How is patient data protected?

Products are designed for KVKK and GDPR. Access is limited by authentication and role-based permissions, and data is stored encrypted. We never use real patient data in demos or marketing screens.

Does it work with our existing HIS, RIS or PACS?

We integrate through DICOM, HL7, REST APIs and webhooks. Scope depends on the interfaces your current system exposes; we clarify it in the first call.

How does a demo work?

You fill in the form and we schedule a call around your needs. We show the product against your own workflow; no commitment required.

Where should we start with an enterprise AI project?

With the AI Product / Workflow Audit. We examine your workflow and separate where AI will help from where it will not.

Who owns the source code and IP?

For custom projects, ownership and delivery scope are written into the contract. For products, licence terms are stated in the proposal.

Where do you work?

SeckinAI is based in the United Kingdom. We work with organisations in the UK and across Europe.

18+ years in radiology informatics
The founder's clinical and engineering experience
DICOM and HL7
Integration with RIS, PACS and HIS
KVKK and GDPR
By design, from the start