We architect and deploy secure, deterministic Generative AI systems. From private knowledge retrieval (RAG) to autonomous multi-agent pipelines, our architectures prioritize zero hallucination, strict PII privacy, and verifiable business ROI.
Technical Capability
Consumer AI prototypes break in production. We engineer robust semantic pipelines with verified fallback layers, strict context window optimization, and sub-second retrieval latency.
Deterministic, hallucination-resistant knowledge retrieval systems connected to your internal documentation, PostgreSQL vector databases (pgvector), and proprietary data lakes.
Architectural Highlights
Multi-agent systems utilizing function calling, structured outputs, and human-in-the-loop validation to automate complex business workflows across external APIs and CRMs.
Architectural Highlights
Zero-data-retention AI architectures ensuring proprietary corporate IP and customer records are never used for foundation model training or exposed to public pipelines.
Architectural Highlights
Edge-cached inference routing, token budget optimization, and latency minimization pipelines designed to process thousands of simultaneous enterprise requests under 400ms.
Architectural Highlights
Architectural Decision
We evaluate your technical requirements against empirical engineering tradeoffs to prevent millions wasted on unnecessary model training.
| Evaluation Parameter | Retrieval-Augmented Generation (RAG) | Model Fine-Tuning | Architectural Decision |
|---|---|---|---|
| Domain Knowledge Freshness | Instant updates via vector index re-embedding | Requires full retraining cycles ($$$$) | RAG |
| Hallucination Risk & Citations | Ground truth citations with direct source links | Probabilistic text completion without strict sourcing | RAG |
| Style & Tone Adaptation | Configured via prompt engineering & system instructions | Deeply bakes domain vocabulary and strict dialect | Fine-Tuning / Hybrid |
| Infrastructure Maintenance | Standard database vector management (Postgres/Redis) | GPU cluster provisioning and continuous checkpointing | RAG |
