Author: vagrant

One of the hardest parts of building Grey Hat Labs hasn’t been the technology — it’s been explaining it. Our platform spans schema normalization, graph ingestion, policy evaluation, and adaptive risk — all working together across multiple domains. It’s powerful, but that power can be hard to see without context. This week, we shipped something […]

We’re excited to announce that the first fully deployable MVP version of the Grey Hat Labs Platform is now operational and available for internal testing. This marks a major milestone for the team—the first time the full multi-service system is running end-to-end in a production-like environment. What We Accomplished Over the course of this sprint, […]

Sprint 5 was a big one for us. We didn’t just wire up a few endpoints — we turned on the entire core of the platform and made it demoable end-to-end. We now have a live MVP experience that runs real signals through the system, with a small UI on top so anyone can see […]

Today marks one of the most exciting moments in our development journey so far — our neural network is officially online. This milestone isn’t just another feature landing. It’s the moment our platform transitions from static scaffolding into a living system capable of real computation, structured reasoning, and adaptive behavior across our cross-chain architecture. The […]

This sprint delivered the foundation for true multi-chain operation across the GHL platform. Our new Cross-Chain Operations Module (CCOM) introduces a unified interface for interacting with different blockchains, normalizing their events and transactions into a consistent ASLF format for downstream systems. ✅ What’s new • Cross-Chain Operations Module (CCOM) A chain-agnostic layer that handles transaction […]

We’re excited to announce the launch of the Knowledge Graph Fabric (KGF) Store, a major new component of the GHL Platform. KGF is our unified, persistent graph layer that connects facts, metadata, and inference results into a structured knowledge network. ⸻ 🌐 What We Built A persistent knowledge graph KGF stores entities and relationships in […]

The latest sprint focused on a key milestone in our platform architecture — connecting the Adaptive Schema & Learning Framework (ASLF) to the Reinforced Learning Inference Engine (RLIE). While the RLIE engine itself is still in early development, this sprint established the foundation for end-to-end communication: • Job queue and worker – Implemented the rlie_jobs […]

We’ve completed a major backend milestone: the RLIE feedback loop is now live and fully integrated with our AI Schema Learning Framework (ASLF). Previously, all schema normalization and inference data lived in volatile in-memory storage, which limited persistence, analytics, and collaborative development. With this update, we’ve migrated to PostgreSQL, enabling durable storage, consistent feedback aggregation, […]

We’re excited to share that Grey Hat Labs has filed three provisional patent applications covering core innovations within our Adaptive Intelligence Stack — including schema-learning, reinforcement-learning interoperability, and secure custody orchestration. These filings represent major steps in protecting the novel AI-driven infrastructure that powers our mission to enable seamless, secure interoperability across blockchain networks. As […]

Our AI Schema Learning Framework (ASLF) now incorporates a full AI-driven normalization engine. This update moves ASLF beyond static schema mapping — it can now interpret, infer, and normalize blockchain, exchange, and DeFi transaction payloads in real time using deterministic AI logic powered by GPT-4o Mini. Each inbound transaction payload is analyzed, parsed, and converted […]