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Every service, by layer

What each service delivers, grouped by layer. You can start with a diagnostic of one problem, dataset or process.

Data

Data platforms and pipelines

Platforms and pipelines that connect your sources and check every record on the way in.

  • Data platforms & cloud architecture

    The platform your data lives on, sized to your workload and budget.

    We build lakehouse, warehouse or on-premise platforms on public, private or hybrid cloud. We design them around data sovereignty, latency, cost and your existing contracts. Cost is monitored from the first deployment.

    You get

    • Reference architecture
    • Infrastructure as code
    • Cost model

  • Ingestion & integration pipelines

    Data flows that keep working when sources arrive late or malformed.

    We build batch and streaming pipelines with connectors, change data capture and schema contracts. We work with healthcare standards (HL7 v2, HL7 FHIR, DICOM) and industrial protocols (OPC UA, MQTT).

    You get

    • Pipelines as code
    • Data contracts

  • Harmonisation & common data models

    Data from different sources in one common format.

    We map your sources to shared models and terminologies, such as the OMOP Common Data Model (OMOP CDM), SNOMED CT and LOINC in health. The same analysis then runs across sites and years without being rewritten.

    You get

    • Mapping specifications
    • Validation reports

  • Data quality & observability

    Automatic checks that catch data errors before they reach reports and models.

    We set validation rules, alerts on unusual volumes or values and freshness checks, with a named owner for every alert. Language models suggest new rules, and a person approves each one.

    You get

    • Quality rule catalogue
    • Monitoring and alerts, each with a named owner
    • Incident log

  • Entity resolution & master data

    One record per patient, customer or asset, across all your systems.

    We link records across systems with probabilistic and graph-based matching. Every match has a confidence score, and uncertain cases go to a review queue.

    You get

    • Matching engine with a confidence score per match
    • Golden records
    • Review queue for uncertain matches

  • Data governance, catalogue & lineage

    Know who owns each dataset and where each column comes from.

    We set up governance based on DAMA-DMBOK: data owners, a business glossary, a catalogue, column-level lineage and access policies the platform enforces.

    You get

    • Data catalogue and business glossary
    • Column-level lineage graph
    • Enforced access policies

  • Migration & modernisation

    Move off legacy systems, reconciled record by record.

    We migrate legacy registries, warehouses and ETL processes and reconcile source and target automatically. AI agents help convert the code, and a conversion is accepted only when its tests pass.

    You get

    • Migration plan
    • Converted pipelines, with passing tests
    • Reconciliation reports

  • Cloud cost & performance optimisation

    Lower cloud bills for the same workload.

    We review compute, storage and queries, then resize, schedule and tune them. Savings are measured against a recorded starting point.

    You get

    • Optimisation plan
    • Cost baseline and savings tracker

AI

AI and machine learning systems

Models and AI systems that are tested before release and monitored in operation.

  • Predictive models & forecasting

    Forecasts that state how certain they are.

    We predict demand, capacity, risk and failures, with methods from classical time series to machine learning. Every model comes with prediction intervals, a baseline to compare against and automatic accuracy tracking.

    You get

    • Model and API
    • Backtesting report against a baseline
    • Accuracy monitoring

  • Generative AI & retrieval

    Assistants that answer from your documents and cite the source.

    We build assistants over your manuals, procedures, contracts or clinical guidelines. Every answer cites its source. Before go-live, we test the assistant with your experts on an agreed set of questions.

    You get

    • Assistant or API
    • Evaluation set agreed with your experts

  • AI agents & workflow automation

    Agents that take on repetitive document work, with a person approving the risky steps.

    Our agents read, classify, draft and file documents inside your existing systems. Approval points are set by risk, and every action is logged.

    You get

    • Agent workflows with approval points
    • Connectors to your existing systems
    • Action audit log

  • Document intelligence

    Data extracted and checked from PDFs, scans and forms.

    Optical character recognition (OCR) and language models extract fields from invoices, reports, case files or clinical notes. Each field gets a confidence score, and doubtful fields go to a person for review.

    You get

    • Extraction pipeline
    • Review screen for doubtful fields
    • Accuracy report

  • Computer vision & signal analysis

    Automatic analysis of images and sensor data.

    We detect visual defects, take measurements from images and analyse vibration, energy or process signals for predictive maintenance. Models run on site or in the cloud, depending on where the data is produced.

    You get

    • Trained models, deployed on site or in the cloud
    • Drift monitoring

  • MLOps & LLMOps

    Models kept current and monitored in production.

    We build pipelines to train, test, release and roll back models. We monitor drift, latency, cost per request and, for language models, answer quality against a fixed test set.

    You get

    • CI/CD pipelines for models
    • Monitoring of drift, latency, cost and answer quality
    • Retraining runbook

  • AI security & privacy engineering

    Security testing for AI systems that take actions or handle personal data.

    We test large language model (LLM) applications against prompt injection, data leaks and misuse of tools. Where real records cannot be used, we apply pseudonymisation, privacy-preserving analytics or synthetic data. We also support your Data Protection Impact Assessments (DPIA).

    You get

    • Threat model
    • Red-team report
    • Privacy controls
    • Input for your DPIA

  • AI governance & regulatory readiness

    AI Act obligations turned into concrete tasks with owners.

    We list your AI systems and classify their risk under the AI Act. We prepare the technical documentation, human oversight and controls an audit requires. In healthcare, we also cover the EU medical device regulations (MDR/IVDR) and the European Health Data Space (EHDS) rules on secondary use.

    You get

    • AI system register
    • Risk classification under the AI Act
    • Technical documentation
    • Human oversight and controls

Decisions

Analytics and decision support

Analysis and tools that state their uncertainty and fit the decisions they support.

  • Advanced statistics & study design

    Analyses that hold up to expert review.

    We cover study design and sample size, regression, survival and mixed models, Bayesian methods and causal inference. Every result can be reproduced from the code we deliver.

    You get

    • Statistical analysis plan
    • Technical report with reproducible code

  • Real-world evidence & health analytics

    Evidence from registries and clinical records.

    We run studies on real-world data with clear cohort definitions, control of confounding factors and outcome analysis. When data cannot leave the hospital, the analysis goes to the data (federated analysis).

    You get

    • Study protocol and statistical analysis plan
    • Cohort pipelines
    • Study report

  • BI & decision dashboards

    Dashboards built around the decisions they support.

    We agree metric definitions with everyone involved and build a governed semantic layer on them. Each dashboard is designed for a specific decision and can replace your legacy reports.

    You get

    • Metric dictionary
    • Governed semantic layer
    • Dashboards for specific decisions

  • Experimentation & impact measurement

    Measure the effect of a new model, process or policy.

    We use A/B tests, staged rollouts and quasi-experimental designs to show what a change achieved, including its side effects.

    You get

    • Experiment design
    • Impact report, including side effects

  • Optimisation & simulation

    Compare scenarios before you commit to a plan.

    We build optimisation and simulation models for shifts, beds, production lines, fleets and stock. Each scenario shows its costs and trade-offs, so the decision is explicit.

    You get

    • Optimisation engine
    • Scenario simulator with costs and trade-offs

  • Process mining

    See how your processes run in practice, from your system logs.

    We rebuild end-to-end processes from ERP, hospital or case-management logs to find bottlenecks, rework and deviations from the intended procedure.

    You get

    • Process map with conformance analysis
    • Improvement backlog

Software and operations

  • Custom software & systems integration

    The software that puts models to work in your daily operations.

    We build back ends, internal tools and integrations with ERP, electronic health record (EHR), manufacturing execution (MES) or case-management systems. This includes the screens people use to review AI outputs.

    You get

    • Production code
    • APIs and integrations
    • Review screens for AI outputs
    • Technical documentation

  • Managed data operations

    We run the systems we build, under an agreed service level.

    We monitor your pipelines, models and platforms, respond to incidents and apply upgrades.

    You get

    • Service agreement
    • Monthly service report

Strategy and enablement

  • Data & AI strategy

    A plan that says which AI projects to do first, and why.

    We review the decisions your organisation makes and the data behind each one, and identify where a model would improve the result.

    You get

    • Ranked roadmap of AI projects, with owners, dependencies and effort

  • Data & AI readiness assessment

    What your current data can and cannot support.

    We assess your sources, data quality, access, skills and governance against the projects you want to run. Each gap is marked as blocking or as something that can wait.

    You get

    • Maturity baseline
    • Gap register with a remediation plan

  • AI literacy & team enablement

    Training for the people who will use and supervise AI.

    We train management, domain experts and engineers in how models behave, where they fail and how to supervise them. The programmes cover the AI literacy obligation in Article 4 of the AI Act.

    You get

    • Hands-on workshops for each role
    • Internal playbook

Tell us what you need to solve

A few lines are enough. If it is outside what we do, we will tell you and suggest who can help.

Talk to our team info@logicance.com