
Yobe
Developer of software for the enhanced processing of communication signals.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | N/A | $3.6m | Early VC |
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 23 % | - | 217 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Yobe Incorporated, established in 2016, is a software company specializing in advanced voice recognition technology. The company was co-founded by Ken Sutton, a serial entrepreneur and U.S. Army veteran, and Dr. S. Hamid Nawab, a distinguished professor in electrical and computer engineering with extensive experience in signal processing and machine perception. Sutton's background in navigating complex operational environments complements Dr. Nawab's deep technical expertise, forming the foundation of the company's strategic direction. Their combined experience addresses the critical need for reliable voice interaction in challenging real-world settings. Yobe's primary offering is a software solution that enables intelligent voice control in noisy and crowded environments. The technology is engineered to distinguish a specific user's voice from background noise and simultaneous conversations, a problem often referred to as "crosstalk" or the "cocktail party problem". This is achieved through a proprietary approach to signal processing inspired by the human auditory system, which the company terms "attentive listening". A key differentiator for Yobe is its ability not only to isolate and understand voice commands but also to extract biological markers from speech, providing an additional layer of data for analysis. The business model appears to be B2B, focusing on empowering brands to integrate sophisticated voice interaction capabilities into their products and services. Target markets include quick-service restaurants for voice-ordering kiosks, industrial settings like data centers for streamlined workflows, and potentially other sectors where hands-free, accurate voice control is paramount. By providing this enabling technology, Yobe allows its clients to capture and retain the commercial value of their proprietary voice data. The company is headquartered in Boston, Massachusetts, a hub for technological development.
Keywords: voice recognition, signal processing, audio technology, machine perception, attentive listening, crosstalk cancellation, B2B software, voice control, speech analysis, acoustic intelligence