73% of companies struggle with understanding their data
Where to look? What it means? How to use? It's a lot...
Our AI Digital Lab services mean you'll move faster, decide smarter, and stay ahead by making your data work for you.
AI Process Overview
1extract
2analyse
3implement
Service Cards Overview
Desktop Service Cards
View details for API Automation service
View details for Chatbots service
View details for Data Extraction (OCR) service
View details for Gen AI Implementation service
View details for Software Development service
API Automation
Do you spend hours a day on manual efforts? Improve your workflow by automating interactions with APIs. Easily integrate tasks like:
API testing
Data integration
System configuration
Chatbots
Having gone from Google Search's 'hard to guess' lines to fluent conversations with Chat GPT, people are clearly drawn toward more natural interactions. Chatbots offer an interactive way of searching and communication. Thus, we develop:
chatbots as search engines
customer service chatbots
Combined with AI's ability to analyse human speech and utilise your data, we get a tool capable of supporting your clients most effectively.
Data Extraction (OCR)
We develop tools built on generative AI technology, used to analyse data and create new content.
You might experience one issue, held in common by many companies: they are drowning in scattered data. This makes it impossible to get the insights they need, like performance, marketing impact and more. Our custom generative AI tooling calms down the data chaos, so you can properly use all your resources and grow faster.
Remember that every business case is special. So let's discuss yours and see what we can do.
Gen AI Implementation
We develop tools for data extraction from:
PDFs
Images
Documents
Such tooling removes the need to manually transfer data into your systems.
Software Development
We create complete user interfaces using the latest technologies.
Generative AI is primarily used for data analysis and workflow automation. It can analyze complex datasets and process large amounts of unstructured data (e.g., customer feedback, reports, market trends) to identify patterns and provide insights.
What are the most common uses for Generative AI in business?
Generative AI is primarily used for data analysis and workflow automation. It can analyze complex datasets and process large amounts of unstructured data (e.g., customer feedback, reports, market trends) to identify patterns and provide insights.
Simple Chatbot: Uses predefined rules and scripts, responds only to programmed questions and keywords, and its conversations are predictable and follow a rigid path. Generative AI Chatbot: Uses a Large Language Model (LLM) to generate new, original content. It is not limited to a script, understands context, can have more natural and fluid conversations, processes complex queries, and adapts responses based on the dialogue.
What is the difference between a simple chatbot and a generative AI chatbot?
Simple Chatbot: Uses predefined rules and scripts, responds only to programmed questions and keywords, and its conversations are predictable and follow a rigid path.
Generative AI Chatbot: Uses a Large Language Model (LLM) to generate new, original content. It is not limited to a script, understands context, can have more natural and fluid conversations, processes complex queries, and adapts responses based on the dialogue.