Data entry is a large chunk of daily work for millions of people. We liberate time from this robotic work. Our intelligent document automation software can handle the often diverse, gappy and ambiguous real-world data.
Many business processes “can’t be automated” because computers read like 5-year olds. They recognise the letters and words, but cannot deduce relationships, meaning, or reason about the nature or structure of documents. We are changing that.
Our machine learning solution helps computers to read better, so humans can enjoy higher productivity and focus on more important tasks than the data entry.
Digisalix’s software does the heavy lifting of repetitive typing and data conversion. Your staff only need to handle validation and quality control. Therefore, office chores like filing expenses or entering accounts payable data can almost be enjoyable, when a digital co-worker fills in the basic details independently.
Focus on the important tasks and adapt your business to the digitally transformed, fast paced world with intelligent document automation. Deployment of our system is simple and requires little of your time. Also, scaling is fast and easy, so no more recruiting seasonal humans to play robots.
Remove repetitive robotic work and focus on the value-adding things.
Faster processes, easy scalability and better work life quality.
Automate your document tasks and lead the way. We’ll help you.
Getting two computer systems to communicate is complicated. They need information structure defined in meticulous detail. Therefore, humans tend to act as interpreters between these systems. That’s human speed, how about the digitalisation?
One way is to standardise the technical formats and create computer-to-computer protocols. This requires input and mutual understanding from all the parties to make necessary changes to the systems. It can be very time consuming, frustrating and needs regular tweaking to keep the systems in sync.
Digisalix solution automates flows by integrating our reading software with tools such as RPA. Our system is taught to understand the structure of the information by connecting words and numbers through rules and inference to form consistent and structured data, such as XML or JSON.
This means humans can stand back and advise where needed. It also means more time for tasks where people truly excel.
Often the standard solutions don’t quite fit the need. With our low data approach it’s easy to adapt to specific requirements like order IDs or categorisation.
We do all the teaching.
Many business processes execute neatly in software, once the data – like invoices, receipts, and forms – are in the system. Since these documents often have a clear structure, they are ripe for more automation. Let Digisalix convert the document stream into neat structures and optimise the process.
Here’s a video showing how we saved 80% time in filing our invoices by combining our structured reading with light-weight RPA.
Agility and turnaround times could always be a bit better. Orders, product information, offer requests – there are heaps of documents waiting to be fed in for processing. Elementary input and processing of an order takes several minutes for a human: 10 000 documents adds up to 100 days of work.
So, what kind of information are you typing in regularly? Is there a document blocking your automation dream? Let our computers handle it.
Many documents are out there in the real world. Driving logs, freight bills and customs clearances for example. Plenty of machines and vehicles carry physical maintenance records, spare part listings, and schematics. Unlike service crews, with more immediate problems to handle, our computers happily type it in.
We can help field operatives to focus on the actually important tasks, like helping the customers.
20+ years of experience in software startups and corporations. Former CEO of drawElements, acquired by Google.
PhD Imperial College London,
5+ years of experience in
solving challenging algorithmic problems.
PhD Computational Science, Aalto University. 15+ years of experience in machine learning and probabilistic modelling.
MA, 20+ years of experience in international business development, ICT and Digitalization.
Janne thrives in making design and communication clear and functional.