Engineering Capabilities
Our core technical domain competencies span autonomous multi-agent orchestration, high-throughput vector retrieval, zero-trust AI defense enclaves, and containerized MLOps pipelines.
Autonomous Multi-Agent Orchestration
Engineering multi-agent protocols, state machine synchronization, inter-agent consensus, and distributed memory layers for autonomous teams.
Enterprise RAG & Hybrid Vector Search
High-precision hybrid dense-sparse vector search systems combining BM25 lexical indexing with high-dimensional embedding search at scale.
Zero Trust AI Security & Guardrails Enclave
Low-latency inline proxy enclaves for adversarial prompt injection detection, data exfiltration prevention, and model alignment auditing.
LLM Fine-Tuning, LoRA & Quantization
Custom domain fine-tuning of open weights models (Llama 3, Qwen 2.5, DeepSeek R1) using PEFT/LoRA and GGUF/AWQ quantization.
Intelligent Document Processing (IDP)
Multi-modal Vision-Language pipelines for parsing unstructured PDF scans, complex tables, handwritten text, and financial filings into structured JSON.
MLOps & Automated Retraining Loops
Containerized model deployment, continuous drift monitoring, automated statistical KS testing, and CI/CD for machine learning pipelines.