Web data & AI infrastructure
Ongoing collection and structuring of web data for sales, research, and AI.
We build solutions that continuously collect information from websites and other publicly available or agreed sources. The information is structured, validated, and enriched with AI where relevant. It is delivered in a platform, via an API, as a dataset, or directly into your company's existing software.
What’s included.
The delivery covers sources, collection, quality assurance, and a solution that can be maintained over time.
- 01Mapping of data sources, business needs, and requirements for the finished solution
- 02Ongoing data collection from websites, APIs, and other agreed sources
- 03A data model and structure that make information from many sources consistent
- 04Validation, deduplication, and quality assurance of the collected data
- 05AI-based categorisation, rewriting, and enrichment where it improves the material
- 06Delivery in an internal platform, via API, as a dataset, or in existing systems
- 07Integration with CRM, research tools, and your company's internal AI solutions
- 08Monitoring, maintenance, and adjustment when sources or needs change
- 09Scaling to more sources, markets, and use cases once the solution is validated
Collection, quality assurance, and delivery
The scraping handles the collection. The rest of the solution makes the material reliable and delivers it to the task it is meant to support.
- 01The websites, APIs, and other sources to be followed are defined
- 02The collection is built to run robustly and recurrently
- 03The material is normalised, validated, and deduplicated
- 04AI can categorise, rewrite, or derive new information where relevant
- 05The output is delivered in a platform, an API, a dataset, or existing software
- 06The solution is monitored and adjusted when the sources change
The result is a living data foundation that can be used for sales research, market analysis, recruitment, and your company's own AI and RAG solutions.
Examples of implemented solutions.
Results from comparable engagements.
The result is a continuously updated foundation, ready for the agreed use.
- 01Research that updates itself
- 02A consistent data foundation across many sources
- 03Data ready for sales, analysis, and internal AI solutions
What our clients say.
Our clients describe their experience with the collaboration, the delivery and the use of the solutions.
At Mighty Admins, we have really enjoyed working with Wiinholt & Associates. They have been very proactive with ideas and the development of campaign material, despite our otherwise somewhat complex 'product'. On top of that, they have always been available for adjustments and sparring on the campaigns.
We invite potential customers to a demo of our AI visualization tool — and it opens doors that are otherwise hard to get through. In the meeting, we generate displays with the customer's own brand in real retail environments, live. People can see themselves in the solution right away. It has made our sales conversations significantly more concrete — and the hit rate on first meetings has clearly improved.
At BC Emballage, we have been very happy with our collaboration with Wiinholt & Associates. They have shown professionalism, great service and short execution times — things that are essential in a company like ours. They have moved us incredibly far in terms of our digitalization and the way we work with data. Our warmest recommendations.
Frequently asked questions.
Answers to the most common questions about web data.
What is Web data & AI infrastructure?
It is a complete data solution that continuously collects information from relevant web sources, structures and quality-assures it, and delivers it where your company needs it. AI can be used for categorisation, rewriting, and enrichment, among other things, when it improves the finished data foundation.
How does it differ from web scraping?
Web scraping is the collection itself. The delivery also covers the data model, validation, deduplication, AI enrichment, integration, and monitoring. The material must be stable and usable in the agreed business process.
Which sources can you collect data from?
We work with publicly available websites, APIs, and other sources that your company has access to or an agreement to use. Every solution starts with an assessment of the sources' structure, stability, terms of access, and the intended use. We then choose the technical approach.
How can web data be used for sales and research?
Web data can be used to follow job postings, company changes, market activity, projects, products, and other signals, among other things. We can bring the information together in a research tool, deliver it to your CRM, or use it to prioritise companies and topics for the sales team.
Can the data be used in our internal AI or RAG solution?
Yes. We can structure, clean, and deliver the material in a format suited to search, RAG, internal assistants, and other AI solutions. The data model, update frequency, and documentation are adapted to the solution the material will be part of.
What happens when a website changes its structure?
The monitoring registers errors and changes in the sources. We then adapt the collection and validate the output again. Maintenance is agreed as part of the web data solution.
Talk to us about the next engagement.
Tell us which sources you want to bring together and what the material should be used for. In 25 minutes, we will sketch a possible solution.