Products
Three product families, one platform. Find the right fit for your industry.
Chat System Standard
General-purpose AI chat
Scale conversations without scaling headcount. Lead generation, human escalation, and multi-channel automation with clear limits and control.
- Lead generation and conversation targeting
- Human escalation and handoff
- Intention control and sentiment analysis
- Knowledge base and RAG
- Advanced semantic understanding
- Persisted memory and context
- Web chat and email
- Multi-channel automation
Chat System Hotels
Hospitality-focused AI
Guest messaging, booking engine, and operations in one place. Built for hotels and accommodation providers who want revenue automation and guest-centric flows.
- Guest messaging automation
- Booking engine integration
- Human escalation and handoff
- Intention-aware flows and sentiment analysis
- Hotel knowledge and RAG
- Persisted guest context
- WhatsApp and multi-channel guest communication
- Credit card guarantee workflows
- Booking and stay automation
- Stripe in higher tiers
Chat System eCommerce
Commerce-focused AI
Product discovery, catalog, and payments. Sell more with smart automation, cart and order context, and revenue-focused AI.
- Product discovery and commercial catalog
- Human escalation and handoff
- Lead capture and shopping intent assistance
- Sentiment analysis and product knowledge / RAG
- Advanced semantic understanding
- Persisted customer context
- Cart and order context
- Stripe payments
- Revenue-focused automation
Feed Nova
Lanzamiento Julio 2026 !
- AI interprets user intent, solver makes the decisions (strict separation).
- Deterministic optimization engine (no hallucinated formulas).
- Cost-minimization under real nutritional constraints.
- Flexible ingredient pool (scales to hundreds of ingredients).
- Constraint system: ingredient-level, group-level, and nutritional.
- Scenario simulation (price shocks, bans, overrides).
- Sensitivity analysis (cost drivers, constraint impact).
- RAG-powered scientific knowledge system (pgvector).
- AI explains results with citations — does not invent them.
- Conversation memory with structured intent validation.
- Professional infeasibility diagnostics (min/max/nutrient conflicts).
- Clean Architecture (.NET) with strict domain separation.
- Multi-tenant SaaS with organizations and roles.
- Built-in billing & credit system.
- Ready for OR-Tools and advanced optimization.
Reasons to Use Feed-Gen
AI + Optimization Core
AI understands the problem, the solver computes the optimal solution under strict scientific constraints. Reliable, explainable, and deterministic.
Nutritional Intelligence Engine
Encodes real-world feed formulation logic: nutrients, ingredient limits, group constraints, and palatability rules aligned with industry standards.
Scenario Simulation Engine
Simulate market changes like ingredient bans or price shocks and instantly evaluate impact on formulation and cost.
Sensitivity & Cost Analysis
Understand which ingredients and constraints drive cost. Identify optimization opportunities and trade-offs.
Scientific Knowledge System (RAG)
Embedded knowledge layer with vector search enabling AI to explain decisions using real scientific context and references.
Enterprise-Ready Architecture
Clean Architecture (.NET), modular services, scalable design � ready for production, extension, and integration.
Formulation Workspace
Guided wizard, ingredient explorer, analytics dashboards, and simulation tools � all in one backoffice.
SaaS Platform (Multi-Tenant)
Organizations, users, roles, subscriptions, and billing � built for real B2B deployment.