AI/ML case

ReBid partnered with Softhouse to develop an AI-driven MVP designed to help construction companies analyze procurement opportunities faster, identify relevant business opportunities, and make more data-driven decisions throughout the bidding process.

ReBid

What? Development of an AI-driven MVP platform for procurement analysis and opportunity matching within the construction industry. The solution helps users interpret complex documentation, prioritize relevant opportunities, and streamline early-stage bid evaluation processes.

Organization: ReBid

Industry: Construction / PropTech / AI

Number of employees: Startup company

Revenue: Not public

Technologies and methods: AI and NLP for document analysis, MVP development, scalable software architecture, data-driven decision support, user-centered product development, and agile software development with a focus on rapid iteration and customer feedback.

HAKI Safety AB aligned its management team and board around a shared direction for AI and digitalization together with Softhouse, enabling scalable growth and clear prioritization across the group.

HAKI Safety AB

What? Development of a shared vision and prioritized roadmap for AI and digitalization within a decentralized group structure. Through workshops, current-state analysis and concrete industrial use cases, a clear link between digital initiatives and business value was established—enabling focused execution and more informed decision-making moving forward.

Organisation: HAKI Safety AB

Industry: Safety solutions / Manufacturing industry

Number of employees: Not publicly disclosed

Turnover: Approx. SEK 1 billion (with an ambition to reach SEK 2 billion)

Technologies and methods: AI strategy and digital advisory, workshops and facilitation, current-state analysis through stakeholder interviews, business-driven prioritization models, and an agile, iterative approach to create alignment across both management and board.

Åsljunga Pallen AB implemented AI-based image analysis together with Softhouse to automate quality control, reduce production stops, and improve working conditions.

Åsljunga Pallen AB

What? Implementation of AI and image analysis solutions to detect production deviations such as incorrect log diameters, misaligned boards, and improperly driven nails in finished pallets.

Organization: Åsljunga Pallen AB

Industry: Manufacturing industry / Wood industry

Antal anställda: Not publicly disclosed

Omsättning: Not publicly disclosed

Technologies and methods: Machine learning and classical computer vision, industrial image processing, scalable and reproducible AI solutions, and workshops to identify and prioritize high-value initiatives.

- AI assistant trained on our internal documentation such as the employee handbook

- AI-powered auto-transcription

- A solution that automatically transcribes speech to text

- Analyzed energy consumption data from manufacturing processes

- Built an AI model that detects and classifies anomalies in time series data

- Laid the groundwork for predictive maintenance based on energy patterns

GetReach

What: Worked with investigating how AI can be used to automatically classify which topics are raised in podcast episodes.

Organization: GetReach

Industry: Pod

Employees: -

Revenue: -

Technologies & Methods: Artificial Intelligence

b>What? Modernize customer service by shifting from reactive to proactive support, using connected dishwashers that report real-time status and enable automated actions.

Organization: Nordisk Clean Solutions

Industry: Commercial Kitchen Equipment / Service

Number of Employees: approx. 45

Revenue: > Approx. SEK 85 million (2023)

What? Develop an AI-based internal tool that automatically extracts key data from incoming project requests and matches them with consultant CVs – enabling faster and more accurate lead and resource management.

Organization: Softhouse (Internal Project)

Industry: Consulting / Talent Management / Internal Innovation

Number of Employees: Approximately 300 (Softhouse Group)

Technologies and Methods: AI, Natural Language Processing (NLP),

What? Develop an AI-based solution that automatically interprets construction drawings to identify objects and calculate surface areas – supporting more efficient cost estimation in construction projects.

Organization: Spectra Mark

Industry: Construction / Civil Engineering / Early-Stage Project Digitalization

Number of Employees: Approximately 50

Revenue: Not publicly available

Technologies and Methods: AI, Image Analysis, Edge Detection, Object Recognition,