The missing last mile for AI. STRUC Foundry is a C++ headless engine that exposes a direct object graph to write, edit, and mutate high-fidelity documents via atomic transactions. Engineered for <50ms latency.
* Benchmark: Native C++ Engine. Zero-serialization overhead. No headless browser.
Standard vector databases slice documents blindly, destroying context.
STRUC Index exports Semantic Chunks that respect semantic boundaries for perfect retrieval.
❌ Split mid-sentence. Meaning lost.
âś… Atomic Object. Perfect Retrieval.
Your LLM thinks. Our engine executes. We provide strict tool definitions for any model (OpenAI, Anthropic, Llama).
Point your agent (LangChain, AutoGen, or custom) to our C++ engine. We generate type-safe tool definitions for GPT-4 and Claude 3.5.
Instead of hallucinating XML, your model emits precise RPC payloads. We validate them against the document graph instantly.
The engine executes the operations in <50ms. No retry loops. No fuzzy matching. Just deterministic state mutation.
Stop treating documents like flat files. Interact with a persistent C++ object graph. Inject rows, update variables, and reorder sections via RPCs without overhead.
LLMs hallucinate formatting. We don't. Our C++ engine enforces rigid templates at the object level. The AI suggests changes; the Engine guarantees validity.
Feed your RAG pipeline with clean, semantic chunks from STRUC Index. Tuned for structured content (reports, contracts). Note: Marketing/creative docs may require manual overrides.
Cycle documents from DOCX -> Object -> DOCX. Our engine preserves the full semantic state—comments, track changes, and margins—so you can automate workflows safely.
Generating valid PDF/A-1b is hard. We do it natively. Our engine ensures strict archiving standards for government and defense contracts, with zero font-embedding errors.
Engineered for Paged Media. Compile Object -> DOCX / PDF from a single source of truth. Ensure your web preview matches the final document pixel-for-pixel.
We are currently in Private Beta. We are manually onboarding high-volume partners to ensure environment stability.
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