Intellectual property
Our patent portfolio
LastBot's innovation is protected by a growing portfolio of patents. Our granted US patents and pending applications establish a defensible foundation for our AI-native, always-learning go-to-market engine.
The patented LastBot core
LastBot has a patent for a closed-loop AI system that continuously optimizes business goals by generating, testing, and learning from messages and actions across customer journeys.
Continuous learning
Every interaction can become a learning signal for optimization
Data integration
Ingests structured and unstructured data for smart actions
IP protected
Legally defensible differentiation, not a commodity stack
Patents and applications
US-12412196-B2GrantedPublished 2025-09-09
Method and System for Using AI Models to Optimize a Goal
Core patent protecting our closed-loop AI architecture that combines LLMs, embeddings, and ML models to continuously optimize business goals like sales and customer engagement.
Source: Google Patents, US-12412196-B2US-12639730-B2GrantedPublished 2026-05-26
Assignee: LastBot Europe Oy
Method and System for Generating Data Related to a Recipient
Granted patent covering methods and systems for generating recipient-related data by leveraging AI and machine learning, processing structured and unstructured inputs, and iteratively refining outputs based on performance metrics and real-world outcomes.
Source: Google Patents, US-12639730-B2US-20250190868-A1PendingPublished 2025-06-12
Assignee: Lastbot Europe Oy
Advanced Learning Loop Architecture
Patent application covering advanced implementations of our continuous learning and optimization methodology.
Source: Google Patents, US-20250190868-A1US-20250191031-A1PendingPublished 2025-06-12
Assignee: Lastbot Europe Oy
Multi-Channel Goal Optimization
Patent application for extending goal optimization across multiple customer touchpoints and interaction channels.
Source: Google Patents, US-20250191031-A1US-20250383851-A1PendingPublished 2025-12-18
Assignee: Lastbot Europe Oy
AI-Driven Iterative Code Optimization
Patent application covering methods and systems for iteratively optimizing executable code using artificial intelligence, where an AI model generates candidate solutions, evaluates their performance via machine learning, and refines outputs through a continuous feedback loop until optimal code is produced.
Source: Google Patents, US-20250383851-A1For customers and partners, this means you're building on a platform with growing, legally protected differentiation, not a commodity stack that competitors can easily clone.