Start with what your business needs

Skymics provides AI consultancy and machine-learning solutions for business workflows and industrial operations. Our services span predictive analytics, anomaly detection, computer vision for inspection, custom language-model applications and on-device edge deployment.

Where a project involves physical operations, we connect AI and ML requirements with our IoT sensor, network, gateway and industrial-integration capabilities.

Whether you have a defined project or are still exploring where AI could fit, tell us about your business challenge and what you want to achieve.

Discuss your AI use case

What would you like AI to help with?

Start with the work your team does today. What is difficult, what information is available, and what would a useful improvement look like? These questions give us a starting point for discussing a relevant AI solution or consultancy requirement.

For projects involving physical operations, also describe the devices, equipment or site involved. This helps frame a discussion about AI with IoT or an IoT edge solution.

Our AI and ML services

AI consultancy

Identify where AI could help your business and what an appropriate project would need to address. Bring us the workflow, available information, intended users and questions you want to explore. We can discuss the relevant AI approach and scope without assuming that every problem requires a new model.

Predictive analytics and anomaly detection

Use available data to explore likely trends and identify unusual patterns. Predictive analytics supports a defined forecasting or planning question; anomaly detection flags departures from expected behaviour for investigation.

Applications can be discussed around energy consumption, equipment telemetry, environmental conditions or other business data. The data, evaluation criteria and review process are defined for the intended use. A flagged anomaly is a prompt to investigate, not proof of a fault or its cause.

Computer vision for industrial inspection

Apply image-based analysis to an industrial inspection task. Skymics develops computer-vision solutions around the objects, visual conditions and inspection criteria that matter to the operation.

The project discussion covers representative images, lighting, camera setup and the types of findings that require review. Performance must be evaluated for the intended environment rather than assumed from a demonstration image or a different production setting.

Custom LLM fine-tuning and RAG pipelines

Build language-model applications around the task and information your team uses. Skymics provides custom large language model (LLM) fine-tuning and retrieval-augmented generation (RAG) pipelines.

Fine-tuning adapts model behaviour using task examples. RAG retrieves relevant material from selected information sources to provide context when the model responds. These approaches serve different purposes and can be combined where appropriate.

Discuss the source material, access requirements, expected outputs and evaluation criteria. Neither approach removes the need to test responses and define where human review is required.

On-device edge ML model deployment

Run a machine-learning model on a selected edge device for local inference: applying the model to new input where the device operates. Skymics provides on-device deployment alongside edge gateway and IoT integration services.

The deployment is matched to the model, supported hardware, memory, processing capacity and operating conditions. Local inference does not mean that every surrounding service is offline or that any model will run on any device.

Start a useful project conversation

Tell us:

  • what your business or team does;
  • the challenge you want to address;
  • the information, systems or devices involved;
  • who will use the solution; and
  • what a useful outcome would look like.

For an initial enquiry, provide a general description rather than passwords, confidential records or personal customer data.

Discuss your AI or connected-system project

Tell Skymics what you want to improve. We can discuss your AI consultancy, analytics, industrial inspection, language-model or edge-deployment requirement and a suitable next step.

Discuss your project

Before you begin

Planning your AI project in Malaysia

Do we need machine learning, or would a rule-based approach be enough?

Use the simplest approach that supports the decision reliably. A known operating limit or fixed schedule may be handled well by a rule. Machine learning is worth evaluating when useful patterns depend on several changing factors and representative data is available. Compare the candidate model with a simple baseline before deciding that extra complexity is justified.

Should the model run on an edge device or in the cloud?

Consider response time, network reliability, data access restrictions, hardware capacity and how models will be updated. Edge inference can support local analysis, while cloud resources can suit centralised processing or larger models. A hybrid design may fit some projects. Running a model locally does not by itself make every surrounding service offline, private or secure.

What determines the scope and cost of an AI project?

Data availability and quality, labelling work, system integration, evaluation requirements and the operating environment all affect the work involved. A language-model knowledge assistant and an industrial camera inspection system have different needs. Agree on the intended users, representative examples and acceptance criteria before selecting a model or estimating the implementation.

How do we know whether an AI pilot is useful?

Define the decision, compare against the current process and test with representative examples kept separate from development data. Review missed events, false alarms, response quality and the time people spend checking results, as appropriate to the task. Agree when human review is required and how changes in data will be monitored. A demonstration score is not a guarantee of production accuracy, savings or safety.

Related implementation guides

Skymics provides AI consultancy, predictive analytics, industrial computer vision, custom LLM fine-tuning, RAG pipelines and on-device machine learning.

Discuss the requirements for your project