Most enterprise AI projects stall in the prototype stage.

We fix that.

Off-the-shelf chatbots look impressive in slide decks, but they choke the second they encounter messy real-world PDFs, conflicting invoice dates, or unindexed internal databases. You do not need another generic wrapper around an LLM API. You need an engineered data pipeline that retrieves proprietary company context, validates every output against strict business rules, and executes operational tasks in your existing software without crashing.

At TechnologyBae, we build production AI systems designed around sub-second latency and zero data leakage. Speed and accuracy are non-negotiable. For knowledge retrieval, we combine dense vector embeddings with BM25 keyword matching inside PostgreSQL using pgvector or Qdrant, running cross-encoder rerankers on the final candidate pool to keep hallucination rates under two percent.

For workflow automation, our engineers build state machines in LangGraph with hard token circuit breakers, ensuring an unexpected API error never turns into an expensive infinite loop. Your data stays yours. We deploy open-weights models inside isolated virtual private clouds with zero third-party telemetry.

Ready to automate? Talk to our engineering team on our Contact Us page to scope your architecture.