TruGen AI delivers hyper-realistic Video Agents that see, hear, remember, and act in real time - transforming conversations into natural, human-like interactions. Scalable, secure, and API-first, it adapts across industries and languages.
Wow, it’s really impressive! I’m sure this can grow into an amazing venture.
I chatted with Lisa and Chloe — the responses were instant, with no latency, even on a slower LTE mobile connection.
But the limited set of emotions and facial expressions, plus the lack of natural articulation, still feels uncanny and very artificial. The depth of conversation was also low. I assume the models are pre-trained on a fixed dataset and don’t have internet access — for example, the career-coach Chloe was giving generic, surface-level advice with no specific courses or books.
Is it possible to train an avatar on a larger, domain-specific dataset — for example, a veterinary telemedicine expert that can look at a dog via video, ask targeted questions, and give recommendations based on veterinary data and the knowledge it was trained on?
@mark_opanasiuk Thanks so much for the detailed feedback - really appreciate you trying it out. To answer your question: yes, TruGen can be trained on a larger, domain-specific corpus to create specialized agents, including veterinary telemedicine scenarios. Using the knowledge base feature, the agent can ask structured questions, reference uploaded sources, and provide responses aligned with the domain expertise you define.
Strong pitch — it hits the promise clearly: agents that feel human and work in real time. “See, hear, remember, and act” is a powerful capability stack, and “API-first” signals it’s made for real product integration. You repeat “secure” twice — you could replace one with a concrete benefit like lower latency or enterprise compliance to make it even sharper.
PawChamp
Wow, it’s really impressive! I’m sure this can grow into an amazing venture.
I chatted with Lisa and Chloe — the responses were instant, with no latency, even on a slower LTE mobile connection.
But the limited set of emotions and facial expressions, plus the lack of natural articulation, still feels uncanny and very artificial. The depth of conversation was also low. I assume the models are pre-trained on a fixed dataset and don’t have internet access — for example, the career-coach Chloe was giving generic, surface-level advice with no specific courses or books.
Is it possible to train an avatar on a larger, domain-specific dataset — for example, a veterinary telemedicine expert that can look at a dog via video, ask targeted questions, and give recommendations based on veterinary data and the knowledge it was trained on?
TruGen AI
@mark_opanasiuk Thanks so much for the detailed feedback - really appreciate you trying it out.
To answer your question: yes, TruGen can be trained on a larger, domain-specific corpus to create specialized agents, including veterinary telemedicine scenarios. Using the knowledge base feature, the agent can ask structured questions, reference uploaded sources, and provide responses aligned with the domain expertise you define.
Would love to continue the conversation - feel free to book a quick call
https://calendly.com/hemanth-trugen/30min
Strong pitch — it hits the promise clearly: agents that feel human and work in real time. “See, hear, remember, and act” is a powerful capability stack, and “API-first” signals it’s made for real product integration. You repeat “secure” twice — you could replace one with a concrete benefit like lower latency or enterprise compliance to make it even sharper.
Congrats team on the launch.🎉🥂
TruGen AI
@rbluena Thank you very much for your support : )
TruGen AI
@rbluena Really appreciate your support!
TruGen AI
@rbluena Appreciate you Rabii!
TruGen AI
@vadim_archugov Thank you so much! Really appreciate the support!
TruGen AI
@vadim_archugov Thank you friend
CoSupport AI
Congrats on your launch
TruGen AI
@enesterenko Thank you and appreciate your support!
Incredible
dig this
TruGen AI
@tristanpollock Thanks Tristan! 🙌
PopHop
This is really interesting.
TruGen AI
@thilina_guruge Thank you very much for your support : )