Sathus AI 2.0 is now generally available — evaluation harnesses and guardrails included. Explore
Design and deploy private RAG pipelines, fine-tuned domain models, and generative AI applications with strict data privacy and zero hallucination guardrails.
Common obstacles that prevent enterprises from realizing the full value of AI initiatives.
Unchecked generative AI outputs lead to costly compliance and factual errors.
Sending confidential enterprise records to public LLM APIs violates privacy policies.
Core capabilities that enable production-grade AI systems with enterprise governance.
Vector databases, hybrid search, and reranking algorithms for precise context injection.
Fine-tune open-weight models (Llama, Mistral) on proprietary enterprise corpora.
Document ingestion, hybrid vector embeddings, contextual reranker, and automated evaluation harnesses.
The tools and platforms we use to deliver production-grade AI systems.
Generative AI engineering stages.
Ingest and chunk enterprise knowledge bases with semantic metadata.
Tune chunk sizes, vector embeddings, and reranking parameters.
Wrap LLM APIs with real-time PII and safety filters.
Measurable results that drive enterprise value from AI initiatives.
Context retrieval precision across technical documentation.
98%
Real-world examples of how we've delivered AI solutions for enterprise clients.
Global Health • Healthcare • 5 Months
Unstructured clinical document processing.
Private RAG pipeline with Llama 3 fine-tuning.
98% precision in medical record extraction.
Common questions about our AI Engineering practice and approach.
Yes. We deploy fine-tuned open-source models inside your private cloud or air-gapped data centers.
Let's discuss how our engineering practices can accelerate your business outcomes.
