1
Start your online meeting
Using your preferred online meeting system. Hasha joins the flow of work you already have.
Leadership skills, developed
in the flow of work
Hasha tracks and scores leadership skills in your online meetings, and coaches you with real-time and after-meeting feedback: personalised, science-based, and private to you.
Patent pending. Science-based. Real-time.
We believe AI should enrich the common good and individuals' well-being, and we are working towards this goal.
Partnering with the best
How Hasha works
Meet. Get feedback. Grow.
2
Get real-time feedback
AI models trained in the behavioural sciences read the conversation and nudge you live, privately.
3
Get your score and after-meeting feedback
An Active Listening score and concrete, personalised coaching land right after the meeting ends.
4
Track your progress
Skill by skill, meeting by meeting: development you can see, for individuals and whole teams.
The product
Features
Real-Time Feedback
Science-based feedback during the meeting itself, from a personal AI coach: question types, acknowledgements, paraphrasing, pace, silence and interruptions.
Explore →
After-Meeting Feedback
Detailed feedback on your Active Listening behaviours right after the meeting, with samples of what you asked and what you could ask next time.
Explore →
Meeting Rundown
Transcript, summary, takeaways and key points, so nothing said in the room gets lost outside it.
Explore →
Dashboard
Your Active Listening score over time, with its sub-scales. Tracking prompts self-reflection, and self-reflection is how skills move.
Explore →Soft Skills
What Hasha measures
Leadership is not one talent; it is a set of behaviours that can be observed, measured and practised.
Use cases
One engine, many rooms
Wherever conversations decide outcomes, the same measurement engine applies. Teams run Hasha for:
Science
Built on the behavioural sciences
Hasha translates scientific knowledge into easy-to-understand live and post-meeting feedback. Originally conceptualised during Dr. Jorge del Bosque's doctoral research, the platform now combines that grounding with the latest advances in AI and large language models.
Computational linguistics
Language theory and modern NLP, turned into predictive models of conversational behaviour.
Organisational behaviour
What actually moves engagement, trust and performance inside teams.
Learning sciences
Feedback designed the way people actually change: small, timely, actionable.
Human-computer interaction
Coaching that fits inside the meeting instead of interrupting it.
Team
The people behind Hasha
Dr. Jorge Del Bosque
Founder, CEO & CSO
PhD Computational Linguistics (QMUL)
MSc Management & Organizational Innovation (QMUL)
Piyush Agrawal
NLP Researcher
MSc Artificial Intelligence & Adaptive Systems (University of Sussex)
BEng Computer Engineering (Pune University)
Satish Deshbhratar
AI Software Engineer
MSc Artificial Intelligence (University of Aberdeen)
BEng Computer Engineering (Pune University)
Dr. Hazar Emre
Data Scientist
PhD Media & Arts Technology (QMUL)
MSc Sound & Music Computing (Universitat Pompeu Fabra)
Dr. Julian Hough
Scientific Advisor
Researcher & Lecturer in Dialogue, Interaction & Computational Linguistics (QMUL)
Cognitive Science Research Group (QMUL) Faculty Member
Dr. Matthew Purver
Scientific Advisor
Professor in Natural Language Processing (QMUL & Jožef Stefan Institute)
Joint leader of the Computational Linguistics Lab (QMUL)
Rebecca Moore
Facilitation, Leadership and Coaching Advisor
Co-Founder (Depeen)
Facilitator of leadership transformation for organizational change
Dr. Maame Nikabs
Inclusive Language and Culture Advisor
Intercultural, Diversity and Inclusion Expert (LingLab Consult)
Cultural Lead (Healthy You)
James Farnhill
Commercial Advisor
Head of Sales (Holistic AI)
Regional Sales Manager (Zscaler, Delphix)
Samuel Hervas
Technology Advisor
Engineering Manager, iOS (Lapse)
Senior Engineering Manager (Depop)
Testimonials
What others say about us
"Super cool tool that fits with our executive leadership development programme. Feedback coming from a machine is much easier to deal with than feedback coming from a person: it is easier to digest because it is private."
"This is a very innovative app we can use for training and development, and it fits with our continuous listening strategy."
"It is ideal for the role-play-based training we conduct with our recruiters throughout the year. It will significantly reduce the time the trainer spends writing and providing feedback."
"I love how easy it is to run this app and get feedback. It is real time. That is amazing."
Next step
See your meetings differently
A demo runs on a real conversation, and the feedback speaks for itself. Bring your team, your use case, and one meeting.