Nettle ai is a platform focused on lifelike digital humans and mixed reality technology, aiming to deliver human expertise instantly and infinitely to users at digital scale through "physical + digital" (phygital) experiences. Its core philosophy is "the end of human latency," enabling digital humans to possess the professional capabilities and empathy of an enterprise's best people, available around the clock.
Main uses and scenarios:
- Virtual sales and support experts: As a single point of contact in the customer journey, they instantly answer sales questions, proactively qualify leads, recommend products based on needs, and seamlessly transition to after-sales support, handling returns, troubleshooting, FAQs, and upsells, improving conversion rates and loyalty.
- Intelligent virtual tutors: Provide adaptive one-on-one learning, assess student understanding in real time, explain complex concepts with unlimited patience and multiple examples, and create a judgment-free practice environment that boosts confidence and knowledge retention.
- Digital health advisors: Provide immediate, confidential support, reduce the burden on clinical staff, perform intelligent symptom screening, deliver trustworthy health information in plain language, send medication and appointment reminders, and improve patient outcomes.
Main capabilities:
- Dual-engine architecture: A conversational AI engine combined with a real-time avatar engine. The AI engine is LLM-agnostic and has built-in domain-specific algorithms for the financial and consumer industries, which can enhance the contextual depth and compliance logic of mainstream LLMs such as ChatGPT and Claude.
- Multimodal interaction: Captures real-time voice, video, and text input from any channel to enable natural, personalized multimodal conversations.
- Lifelike performance: The avatar engine projects rich intelligence into subtle speech, facial expressions, and gestures, and the digital humans feature photorealistic rendering and emotional expression modeling.
- Enterprise knowledge training: Train digital humans with an enterprise's unique business context, product knowledge, brand voice, and values to ensure every interaction authentically reflects the organization's identity.
- Flexible deployment: Can be accessed instantly through WebGL-enabled browsers, or deployed in physical environments through 3D displays, holographic devices, or custom holographic boxes, with end-to-end hardware and installation support, and can be combined into "phygital" hybrid deployments.
- Multilingual: Supports more than 40 languages, with native-level speech synthesis and understanding, and can adapt appearance, voice, and cultural interaction style for specific markets.
How to use it: Nettle ai offers a five-stage collaboration path: 1. Discovery and scoping: define use cases and success metrics; 2. Customization and training: build and train the avatar based on the enterprise knowledge base; 3. Integration: seamlessly connect with existing platforms when necessary; 4. Testing and optimization: rigorously test and fine-tune performance; 5. Launch and enablement: deploy the solution and train users. A typical project launch requires8-16 weeks, depending on complexity. Dedicated project management, technical support, and post-launch optimization are provided. For organizations that wish to validate further, a 6-10 week pilot project can be provided before a full rollout.
Technical background: Nettle ai's multilingual conversational AI middleware (NLP engine) is developed in-house by its PhD-led data science team, which collaborates with institutions such as the Slovak Academy of Sciences National Supercomputing Center. Its research includes a SlovakBERT-based named entity recognition (NER) model for extracting address components from speech-to-text transcripts, and the use of the GPT API to generate synthetic datasets to compensate for the scarcity of real data.
Security and compliance: The platform complies with GDPR and helps customers meet applicable requirements of the EU AI Act and the NIS 2 Directive. It offers public cloud, private on-premises, or hybrid deployment options, including private cloud instances, to control sensitive data flows. Deployments are designed with regional data regulations in mind, such as GDPR, banking regulations, and HIPAA.
Limitations and notes: The materials do not provide specific pricing, free trials, or detailed technical specifications. Digital humans are designed to be brand-safe, and at the boundaries of their knowledge they gracefully hand over to a human, provide follow-up, or offer alternative resources. Regarding accuracy, blind tests show 98% user acceptance, compared with 40-60% for traditional chatbots, but this data comes from official materials, and the specific test conditions have not yet been provided.