Problem: Key information is often buried in notes, emails, reports, or attachments without consistent structure, making it difficult to search and process.
Solution: Generative AI analyzes various formats of unstructured text and transforms them into clear, usable outputs.
Benefit: You gain consistent data without manual processing, saving time and improving the quality of analysis and decisions.
Problem: Companies handle a high volume of documents from authorities, partners, or clients daily, which is time-consuming and error-prone.
Solution: Our solution automatically reads, interprets, and enters the content of requests, forms, and notifications into internal systems. It can also automate responses to third parties.
Benefit: Relieves your team from routine tasks and speeds up information flow across departments.
Problem: Critical information is hidden in contracts, leaflets, attachments, or manuals, expressed in various formats and language.
Solution: AI identifies and extracts specific data such as figures, deadlines, dosages, or categories directly from text.
Benefit: Eliminates the need for manual document reading and produces accurate, machine-readable outputs.
Case Study: Dôvera – Package Laflet Data Processing
Problem: Meetings and workshops often lack precise summaries that capture all requirements, decisions, and risks.
Solution: AI transcribes recordings, identifies key points, and produces structured outputs based on client needs – such as business requirement documentation, open issues, or identified risks.
Benefit: Delivers high-quality, fully tailored outputs without manual note-taking, accelerating project preparation.
Case Study: O2 – Workshop Processing
Problem: Valuable insights from calls, emails, or customer feedback often go unused.
Solution: We analyze calls, messages, and reviews to uncover sentiment, problems, or suggestions. AI can also detect early-warning signs of potential issues.
Benefit: Helps you better understand customer needs and provides input for decision-making, training, or service improvements.
Problem: Generic content fails to resonate equally with all users and reduces communication effectiveness.
Solution: We generate product or service descriptions tailored to specific customers, segments, languages, or contexts.
Benefit: Increases conversions, customer satisfaction, and trust in your brand.
Problem: Traditional recommendation engines rely only on purchase history, often resulting in irrelevant suggestions.
Solution: AI recommends products or content based on an understanding of user preferences, themes, or narratives.
Benefit: Customers find what truly interests them faster – increasing time spent on site and likelihood of purchase.
Case Study: Martinus
Problem: Visual content is difficult to sort, label, or quality-check manually.
Solution: AI recognizes objects, categories, styles, or defects in images without relying on templates.
Benefit: Enables automated processing of large volumes of visual materials and improves user experience.