The firm offers end-to-end speech recognition solution to healthcare organisation and call centres
Finnish language technology company Inscripta has raised a total of €700k in funding for further development of its speech recognition technology and solutions.
Founded in 2016, Inscripta is a company of 16 software experts who have developed a comprehensive and versatile end-to-end speech recognition solution primarily for healthcare organisations but also for call centres and other organisations that want to use speech analytics. Its core technology is available through the company’s partner vendors such as Hedgehog, Digital Workforce, DrAI, Aiwo Digital, Lumoa, Cubiq, and On-Time. The company is planning to invest in product development and offering their solution to international markets.
Inscript’s recent round had the participation of well-known angel investors, including medical investor Ali Omar (co-founder of Med Group), Henry Nilert (founder of Iobox), board professional Leena Niemistö (eg Pihlajalinna, Stockmann, Raisio), Jari Paakkarinen (Fibantaja angelis Nokia). Inscripta’s founding shareholders are Simo Sorsakivi , Joni Aaltonen and Peter Smit.
Ali Omar, one of Inscripta’s main investors in the round, said:
“Inscripta’s own advanced language technology makes it possible to translate any spoken language into text with very little teaching. Inscript has built its speech-to-text service in such a way that healthcare organizations in particular can produce speech as text in any way they want. Healthcare professionals can dictate on their computer, allowing the dictation to appear immediately on the target system.
“Users can also dictate the dictation to a dictation queue, from which the system decrypts the dictation into text for inspection by the background organization and for possible follow-up. The efficiency benefits and thus the savings are huge”, said Ali Omar, one of Inscripta’s main investors in the round.”
Inscripta’s founder and CEO, Simo Sorsakivi said:
“Thanks to our powerful, unique and adaptable technology and our deep customer understanding, we are able to easily offer several hundred thousand savings to organizations that need speech recognition. Deployment is effortless and quick, and no individual user needs to be taught the software to recognize their voice. If necessary, the system also integrates securely through the interface with other systems in the organization.”