Antbuild
Antbuild
Detailed breakdown of our core software engineering stack, AI architecture, security protocols, latency benchmarks, and enterprise applications.
Autonomous multi-agent architectures enable complex multi-step decision workflows that traditional rule engines cannot handle, dynamically orchestrating business logic and software tasks.
Role-isolated agent sandboxing, strictly enforced API permissions, tokenized tool execution boundaries, and human-in-the-loop audit logs for high-consequence operations.
Asynchronous parallel agent task execution reducing multi-stage business processing latency from hours to sub-seconds.
MCP provides a universal protocol connecting LLMs directly to live enterprise data sources, preventing hallucinations through real-time vector groundings.
Zero data retention on external LLM endpoints, tenant-isolated vector namespaces, and encrypted embedding stores.
High-dimensional vector indexing yielding sub-50ms semantic search across millions of business documents.