Diyo.AI

1. About the Company

Diyo.ai is a Nepal‐based artificial intelligence startup focused on speech, language and conversational AI solutions for low-resource languages such as Nepali. They build multilingual chatbots, transliteration and translation tools and language localisation systems aimed at digital inclusion.
Founded on 2020 by Nepali scientists and engineers, the company is incubated by National Agency for Artificial Intelligence and Machine Intelligence (NAAMII) in Nepal.
Their mission: “Localizing AI” adapting state‐of‐the‐art conversational systems to work for Nepali (and other local) languages. 

2. Size & Locations

  • Headquarters: Jwagal, Lalitpur, Bagmati Province, Nepal. 
  • Employee Strength:11-50(via linkedin)  
  • Industry: Artificial Intelligence, Software Development, Natural Language Processing (NLP)
  • Customer Reach: Works with local government units, enterprises for chatbots & voice AI in Nepali; has multilingual solutions (Nepali, English, Tamil) for business automation. 

3. Technologies Used

While detailed internal tech stack is not fully public, from company messaging and product pages we can infer:

  • Conversational AI / Chatbot Platforms: multilingual support (Nepali/English/Tamil) for web & social channels. 
  • Natural Language Processing (NLP) for low-resource languages: speech data collection, transliteration, translation tasks (e.g., 3.5 million hours speech data, parallel corpus) mentioned on their site. 
  • Likely backend development: standard web APIs/microservices, databases for corpora; for a startup they may use Python, Node JS, or Java.
  • Data / AI tooling: Speech processing, machine learning, multilingual corpora, fine-tuned Large Language Models (LLMs) (they mention “LLMs finetuned”) on their site. 
  • Deployment & integration: Chatbots integrate omnichannel (websites, social media) per their business page. 

4. Hiring Process

While specific steps aren’t publicly documented in detail, standard startup hiring applied here may include:

  1. Application Submission via company website or LinkedIn. (They have LinkedIn presence) 
  2. HR/Founders Screening initial fit & motivation for working in AI/NLP, interest in local language tech.
  3. Technical Assessment or engineering/AI roles: coding / ML problem / NLP sample task.
  4. Technical Interview with core AI/ML/NLP team: problem solving, algorithmic thinking, language model understanding.
  5. Founders / Leadership Interview cultural & mission‐fit check: alignment with localising AI vision.
  6. Offer & Onboarding possibly with a probationary or trial period, given startup setting.

5. Skills Required

Technical Skills

  • Strong programming ability (likely Python for ML/NLP)
  • Machine learning / NLP: understanding of language models, speech processing, translation/transliteration pipelines
  • Data processing: working with corpora, text/speech data in multiple languages
  • Web/Backend integration: APIs, chatbot frameworks, deployment of AI systems
  • Optional: multilingual/multi‐script handling (Devanagari, Romanised Nepali)

Soft Skills

  • Problem‐solving mindset especially for under‐resourced language tech
  • Initiative & adaptability — startup environment often requires flexibility
  • Strong communication (especially in Nepali + English)
  • Passion for localised AI, interest in bridging tech & local context

Domain Knowledge

  • Understanding of language technologies, speech recognition, conversational UX
  • Familiarity with challenges in low‐resource languages
  • Business/UX orientation: how chatbots serve enterprises/governments

6. Work Culture

According to external sources:
Strengths

  • Mission‐driven startup culture with focus on innovation in local languages
  • Opportunity to work on cutting-edge AI / NLP, underserved domain
  • Small/focused team, potentially more hands-on, broad exposure

Areas to Consider

  • As a startup: resources (salary, benefits) may be more constrained than large firms
  • Startup pace: may require high effort, flexibility, multiple hats
  • Remote/hybrid policies not clearly stated (likely on-site or hybrid given startup in Nepal)

Overall, Diyo AI seems well-suited for early-to-mid career professionals who want to build deep technical expertise in AI and NLP, especially in a Nepali context.

7. Alumni Insights

(“written once visit company”)

8. References / Links

Summary

Diyo AI is a forward-looking Nepalese AI startup, specialising in conversational and multilingual AI for local languages (especially Nepali). With its research-driven roots and mission of localising AI, it offers a compelling environment for engineers/AI specialists interested in NLP in a startup setting. If you’re exploring roles there, your background in CS, interest in AI/ML and experience in NLP/data (such as your prior work) could align well especially given your project experience with your RAG/Flask chatbot.