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ORELSIS
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Service

AI, ML and BI consulting and services

From data to prediction, from prediction to decision

AI, ML and BI services combine consulting and development, using artificial intelligence, machine learning and business intelligence to turn company data into predictions, recommendations and reports.

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ORELSISAI · BI

Demand forecast · actual vs. model

Live
Horizon8 weeks
Sources6
Last trainedYesterday
MAPE · t
Click to pin a point
300400500600700Sep 22Sep 27Oct 2Oct 7Oct 12Oct 17Target 520
Forecast drivers
Order history · 43% of totalTotal 88
Scope

What we do

AI, ML and BI services combine consulting and development, using artificial intelligence, machine learning and business intelligence to turn company data into predictions, recommendations and reports. ORELSIS works end to end, from choosing the use case to model development, and from dashboards to running models in production. Our approach is Data-First, AI-First: data first, then the model.

What we deliver
  1. 01AI maturity and data assessment
  2. 02Prioritised use cases
  3. 03Forecasting, classification and optimisation models
  4. 04Business intelligence dashboards and KPI sets
  5. 05Model operations (MLOps) infrastructure
  6. 06Team training and knowledge transfer
Process

Four steps, measurable progress

  1. 01

    Assess

    We assess your data assets and business goals and identify feasible use cases.

  2. 02

    Prove

    We build a short proof of concept for the chosen use case and measure results against agreed criteria.

  3. 03

    Move to production

    We integrate the model and dashboards into live systems and set up monitoring and retraining.

  4. 04

    Scale

    We extend successful use cases to new units and build your teams' skills through training.

Technology

The technology we use

On every project we pick mature, open technologies that fit the job — never locking you into a single vendor.

Our architecture

AI

04
  • PyTorchDeep learning and vision
  • TensorFlowProduction models
  • LLMOn-premise language models (OREL AI)
  • MLOpsMonitoring, versioning, retraining

Data

04
  • PostgreSQLTransactional master data
  • TimescaleDBTime-series sensor data
  • KafkaEvent streams and integration
  • Object storageDocuments, images and archives

Languages

05
  • C++Real-time field and machine software
  • GoHighly concurrent services and gateways
  • PythonData science, AI and automation
  • TypeScriptWeb apps and admin consoles
  • RustSafety-critical, low-level components

Infrastructure

04
  • DockerPortable, repeatable deployment
  • KubernetesScaling on-premise or in the cloud
  • CloudCloud, hybrid or fully on-premise
  • ObservabilityLogs, metrics and alerts
FAQ

Frequently asked questions

BI reports on and visualises historical and current data. ML is a set of methods that learn patterns from data to make predictions. AI is the broader field, including ML, that produces decisions and automation.

A proof of concept shows whether the use case works with your data before a large investment. It reduces risk and gives you a measurable basis for the decision.

Yes. Documentation, training and knowledge transfer are part of the service. If you prefer, we can also keep running the models under a maintenance agreement.
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