AletheionAGI Launches Grounding Bridge to Block AI Hallucinations
The new 'fail-closed' infrastructure decouples truth validation from the LLM to ensure AI agents only deliver proven claims.
AletheionAGI has released a "grounding bridge" designed to eliminate hallucinations and unsupported claims in production AI agents. The system establishes a strict enforcement layer between an AI's memory retrieval and the final delivery to the end user.
The system operates as a fail-closed delivery boundary, meaning any output that cannot be supported by authorized data is blocked before it reaches the customer. According to AletheionAGI, the platform allows developers to bring their own LLM (BYOK) while the company manages the canonical memory, authorization, and claim validation. In internal testing, AletheionAGI reports 100% containment of unsafe deliveries (45/45) and a perfect pass rate for 18/18 deterministic controls.
The RAG Enforcement Gap
As AI agents move into high-stakes customer-facing roles—such as commerce, support, and internal copilots—the risk of hallucinations or the leakage of unauthorized data across namespaces has become a significant business liability. While traditional Retrieval-Augmented Generation (RAG) improves the accuracy of AI responses, it lacks a strict enforcement mechanism to prevent the model from guessing when retrieval fails.
AletheionAGI addresses this by targeting 22 specific failure classes across feedback, retrieval, authorization, delivery, and lifecycle. To demonstrate efficacy, the company conducted a benchmark using Qwen3 14B on 979 MultiWOZ questions. The resulting ASM-CM + Bridge system achieved 93.6% Recall@5 and a 66.5% diagnostic answer score, outperforming both Vector RAG and BM25 in terms of recall and token efficiency.
Shifting the Burden of Truth
This approach shifts the responsibility of truthfulness away from the LLM—the "reader"—and places it into a dedicated infrastructure layer. By decoupling the validation process from the generative model, companies can swap LLMs without sacrificing their evidence contract. This ensures that AI agents remain auditable and only state information that can be proven by authorized data sources.
Market Availability
For developers looking to integrate the system, AletheionAGI is offering a one-time Test Plan for R$ 99, which includes 1,000 grounding queries valid for 30 days. The company's focus remains on providing a deterministic boundary that prevents AI agents from guessing in production environments.