Semio: A Semantic Interface Layer for Tool-Oriented AI Systems
Typed interoperability for scalable agent infrastructure. Defines a semantic type system that enables deterministic tool composition across heterogeneous APIs.
We can't find the internet
Something went wrong!
DataGrout Labs
Technical research and infrastructure primitives for agentic systems.
Research papers and architectural specifications that define the foundational infrastructure behind DataGrout. These documents are intended for engineers, platform architects, and technical leadership.
Published Research
Core Infrastructure
Cognitive Trust Certificates: Verifiable Execution Proofs for Autonomous Systems
Formal verification and cryptographic proofs for agent workflows. Provides provable guarantees that workflows are safe, compliant, and terminable before execution.
Runtime Policy Enforcement for Autonomous AI Systems
Declarative policy layer with Semantic Guards and Dynamic Redaction. Enforces integration allowlists, side effect controls, PII protection, and scope verification at runtime.
Arbiter Substrate: OS-Level Governance for Autonomous AI Agents
Transparent system call interposition with cryptographic policy enforcement. Intercepts agent commands at the OS level, evaluates against signed rule packs, and returns Ed25519-signed allow/deny/redact decisions over mutual TLS.
Agent Economics
Credit System: Economic Primitives for Autonomous Systems
Resource governance and cost-aware planning for AI agents. Examines the economic architecture that prevents runaway costs and enables accountable execution.
Virtual Resource Accounting: Decoupled Agent Budgets for Autonomous Systems
A virtual budget layer that operates independently of platform billing. Agents receive user-defined budgets in arbitrary units, with estimates before execution and receipts after.
Agent Cognition
Consequential Analysis: Semantic Verification of AI-Generated Code
A neuro-symbolic approach to verifying AI-generated code at generation speed. Combines AST fact extraction, LLM intent inference, and Prolog consequence queries to detect semantic violations that static analysis cannot.
Governor: Neuro-Symbolic Runtime for Token-Efficient Agent Cognition
An optional module for the Arbiter substrate that splits continuous agent cognition into Reflex (trigger evaluation, zero-token, sub-10ms) and Reflection (agentic loop, LLM-powered) cycles. Eliminates polling through event-driven percepts and achieves 10-100x token cost reduction.
Open Standards
AI Link Layer (AIL): A Machine-Native Discovery Protocol for the Web
A proposed open standard for machine-readable content discovery. Defines a web-native protocol that enables AI agents to discover, index, and consume structured content without scraping.
Upcoming Papers
The following topics are operational in DataGrout and will be covered in future publications:
Guided Planning System
Structured interfaces for safe tool execution
Tool Mesh Architecture
Multiplexing and semantic routing across integration fabrics
Workspace Arbitration
Capability-based task distribution in multi-agent environments
Pressure Field Memory
Attention gradients and context hydration
Private Connectors
Secure outbound connectivity for enterprise integration
Approver System
Human-in-the-loop batched approval gates with multi-channel delivery
Warden
Cryptographic sandboxing and agent-based prompt guard system for LLM security
Research Philosophy
Publish concepts, withhold implementation
Architectural patterns shared while protecting operational moat
Protocol-oriented
Engineering specifications, not marketing materials
Infrastructure-first
Platform layer positioning, not feature product
Standards-adjacent
Written to be referenceable and durable