Runestone is the logic layer of the modern enterprise. We move beyond simple "chat" interfaces to build autonomous, agentic systems capable of reasoning, planning, and executing complex workflows with deterministic precision.
OpenAI // Proprietary
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Application of the Runestone framework across high-stakes verticals.
Deploying swarms to ingest unstructured news feeds, earnings calls, and alternative data in real-time to generate alpha signals before the market reacts.
Accelerating R&D by allowing researchers to query vast internal knowledge graphs of clinical trials, chemical properties, and regulatory history via natural language.
Optimizing supply chains in contested environments. Predictive maintenance for critical infrastructure using edge-deployed models that require no cloud connectivity.
Traditional LLMs are passive. Runestone Agents are active. They operate on a recursive control loop (OODA) to break down abstract goals into executable code, API calls, and database queries.
Decomposing complex queries into step-by-step logic chains.
Native integration with SQL, Python environments, and internal APIs.
Self-correction loops to validate output before presentation.
By constraining the model output to JSON schemas and enforcing type-checking, we ensure the agent integrates reliably with downstream industrial systems.
All code generation occurs within ephemeral, isolated Docker containers (E2B or similar) to prevent side-effects and ensure security.
In high-stakes environments, non-deterministic behavior is a liability. Runestone enforces strict input/output validation layers to ensure model compliance.
Self-consistency sampling and citation verification against grounded sources.
Automated scrubbing of personally identifiable information before inference.
Granular permissions ensuring agents only access authorized data slices.
Protection against prompt injection and jailbreak attempts.
Deploy Runestone to transform your raw data into active strategic advantage.