Boitfy AI

Botify AI is built on a hybrid transformer architecture that fuses GPT-4-level large language modeling with proprietary neuro-symbolic reasoning layers. This dual-stack approach allows the system to balance open-domain creativity with deterministic business logic. Data Flow Overview User input first hits a lightweight intent classifier running on DistilBERT fine-tuned with 50 M+ anonymized conversation snippets. If the query maps to a predefined brand persona or knowledge base, a symbolic reasoning layer enforces policy constraints (e.g., GDPR-compliant data handling, promotional guardrails). Otherwise, the request is routed to a 176-billion-parameter transformer fine-tuned via reinforcement learning from human feedback (RLHF). A context memory module stores up to 16 K tokens per user session, enabling multi-turn continuity without ballooning server costs. Multimodal Extensions Beyond text, Botify AI’s vision encoder (a CLIP-style ViT) interprets emojis, stickers, and user-uploaded images. A separate diffusion-based avatar renderer generates expressive 2-D sprites in real time, making each character visually unique. Deployment Topology The system is delivered as a lightweight SDK (JavaScript, React Native, Unity, Unreal) backed by autoscaling Kubernetes clusters on Google Cloud. Edge caching at 180+ CDN nodes keeps average latency under 120 ms worldwide.