ai och maskininlarning

Get started quickly on your AI journey

  • We help you find the way forward with AI – both for those who are completely new to AI and for those who have already started their journey and want to take the next step.

  • Our expertise and ability to integrate with the latest technology enable you to quickly embark on your AI journey, saving time and resources.

How can you make the most of AI and machine learning?

We help you get started or advance on your AI journey, and by leveraging ready-made tools through cloud APIs or open-source solutions, we can quickly deliver results. We have the deep expertise required to also build machine learning and deep learning from scratch. Naturally, we handle your data with the necessary integrity and tailor solutions accordingly.

We help you create the services and products of the future with AI

Our AI/ML Proof of Value projects demonstrate the potential value of your data when combined with AI, and our AI Exploration Workshops offer insights into AI’s possibilities. Plus, as part of Precise Biometrics Deep Learning Team, we drive innovation projects in AI, ensuring your data is handled with the utmost care and privacy compliance

  • Applied AI Solutions: We combine the right components and build on both the latest technologies, including ChatGPT, LangChain, and Whisper, as well as proven frameworks such as TensorFlow, PyTorch, and Scikit-Learn.

  • Machine Learning Expertise for Teams: We have experts to handle machine learning from data to product.

  • AI/ML Proof of Value: In a limited-time innovation project, we assess the value your data can create when combined with AI/ML.

  • AI Exploration Workshops: We educate and help you explore the possibilities and limitations of using AI.

AI for Structured Data and Time Series

We have helped clients analyze their data, both by finding anomalies, identifying patterns, and automatically categorizing with classification. Automated monitoring, predictive maintenance, and sharper insights from data are just a few applications that become possible with AI and machine learning.

  • With a data-driven approach where you automatically divide your data into groups, you can choose to allocate the right resources to the right things.

  • Identifying anomalies or categorizing data enables you to proactively identify and respond to behaviors, irregularities, and outliers, protect your systems and processes, and future-proof your business in the increasingly competitive environment.

AI for Images

We have many years of experience in image analysis and deep learning, both for edge deployment on mobile devices and for the cloud. In the field of image analysis and computer vision, deep learning opens up a multitude of possibilities. Image classification, object detection, and semantic segmentation are driving many new features from your smartphone to your car.

  • Image analysis with AI and deep learning is today a mature field, used in many areas, from intelligent security features with biometrics to driver assistance. The technology is becoming increasingly accessible and enables the exploitation of visual data in an ever-growing number of fields.

  • Generative AI for images has developed rapidly recently and has many different applications, including creating training data.

AI for Language

We have conducted projects with both texts and speech, and have experience with cloud-based APIs, open-source solutions, and training our own models. Language technology with Natural Language Processing (NLP) has made enormous strides in recent years, opening up a multitude of new applications.

  • We can utilize the latest techniques and tools in this rapidly advancing field, which can enable entirely new applications and simplify existing solutions. With NLP for text, for example, you can extract valuable insights and interact with your text-based data in new ways. With NLP for speech, you can improve accessibility, simplify documentation, and much more.

  • In addition to extracting valuable knowledge from your text-based data, NLP solutions also open up opportunities for efficiency. Intelligent and efficient information retrieval is just one example.

Curious about how we’ve made an impact before?

Innovation projects involving AI for subject classification in podcasts

  • AI at Softhouse: Which podcasts work and which ones don’t?

    Published On: 2022-10-24

Softhouse is a part of Precise Biometrics Deep learning team

How can one further build something upon ChatGpt technology?

AI & ML: Elevate Your Tech Expectations

Exploratory Data Analysis

Exploratory data analysis, including clustering/segmentation and advanced visualization, including dimension reduction, can help you understand complex datasets.

Efficient Data Management

Data is the fuel for AI, and efficient data management is crucial in all machine learning projects. This includes data input into AI as well as data produced. It’s important to track ML development with representative metrics and statistical analyses that reflect real performance. It can also be important for you to monitor performance bias among different user groups.

Data-Centric AI

Data-centric AI revolves around the insight that data quality is central to AI performance. Often, you gain more value by focusing on data standardization and data cleaning than on adjusting model hyperparameters. To maximize your data, we spend time at the beginning of a project to learn from the domain expertisethat you have. These insights then complement your data to create an AI service that is as reliable as possible.

Tell us about your project

Our ways of working

We always work with agile methods that promote flexibility and collaboration throughout the entire development process. Our agile methodology ensures rapid adaptation to changing project needs and results in efficient and customer-centric solutions.

Regardless of what and which project we take on, you can count on us to always do our best and make sure to provide you with a solution that is as good as possible for your specific needs.

We explore key areas including requirements gathering, architecture and integrations, creating app mock-ups, project planning and team building, risk identification, operational environment assessment, online impact management, support and maintenance, and budget planning. This phase is crucial to define and understand all aspects of the project before implementation begins.

Our main deliverables are the execution of the project according to the defined project plan, which includes creating documentation, developing an acceptance plan and conducting continuous project monitoring

The acceptance stage includes testing and validation, including training, a system administration guide, a migration plan and a go-live plan, along with preparations for the operational environment.

Now the deliverables are important and that includes monitoring and managing technical support, planning support and maintenance, handing over projects and conducting project reviews. This step aims to ensure a smooth transition and a high level of quality and support in the new operating environment after the completion of the project.

After that, we have ongoing work with, for example, support agreements in place that contain an SLA (Service Level Agreement). In addition, the establishment of routines and processes is required for smooth operation and management of any problems. Finally, thorough reporting ensures that all parties are aware of performance and potential areas for improvement.

Solving the industries biggest problems

We thrive on tackling complex problems in the code and development sphere, delivering tailored solutions that not only address immediate needs but also future-proof your digital assets, empowering your business to stay ahead of the competition.