AI Services

AI Software Services

Assessment

• Business analysis • Feasibility assessment • Strategy and Roadmap design • Technical analysis and advisory

Data Services

• Data Acquisition • Data Entry • Data Annotation • Data Cleansing • Data Enrichment

Model Service

• Modelling • Customization & Optimization • Evaluation • Proof of Concept (PoC)

Deployment Services

• Integration • Deployment (Edge & Cloud) • Monitoring, Maintenance & Support

Service Description

The customer has typically identified areas of improved productivity by the means of using AI and Machine Learning.

GoWit-Hungary will take its customer on the AI journey, from problem classification to deployment and maintenance.

How it works

Why Us?

Stack

Pricing

AI Software Services

Our latest Publications

AI Data Quality
June 25, 2025

#12 AI Data Quality: Crap in – Crap out

AI Data Quality – Any AI project is based on data used to train the model. Unlike what we would imagine, getting the right data in the right shape is far from easy or obvious. Building a quality dataset is an engineering work. This paper covers the various steps of this job.
AI: Fixing the Training gone Wrong
May 20, 2025

#11 AI: Fixing the Training gone Wrong

Building on Paper #10’s AI training pitfalls—underfitting (too lazy), overfitting (too rigid), high bias (skewed guesses), and high variance (wild swings)—this paper offers practical fixes for our smell detector. We explore three levers: boosting network capacity, extending training with more epochs, and enriching data for smarter learning.
Sylvain LIEGE-AWS Certified AI Practitioner certificate
May 5, 2025

Sylvain LIEGE has been certified AWS Certified AI Practitioner.

We are please to share that Sylvain LIEGE has been certified by AWS as AWS Certified AI Practitioner.

Our latest Publications

AI Data Quality
June 25, 2025

#12 AI Data Quality: Crap in – Crap out

AI Data Quality – Any AI project is based on data used to train the model. Unlike what we would imagine, getting the right data in the right shape is far from easy or obvious. Building a quality dataset is an engineering work. This paper covers the various steps of this job.
AI: Fixing the Training gone Wrong
May 20, 2025

#11 AI: Fixing the Training gone Wrong

Building on Paper #10’s AI training pitfalls—underfitting (too lazy), overfitting (too rigid), high bias (skewed guesses), and high variance (wild swings)—this paper offers practical fixes for our smell detector. We explore three levers: boosting network capacity, extending training with more epochs, and enriching data for smarter learning.
Sylvain LIEGE-AWS Certified AI Practitioner certificate
May 5, 2025

Sylvain LIEGE has been certified AWS Certified AI Practitioner.

We are please to share that Sylvain LIEGE has been certified by AWS as AWS Certified AI Practitioner.