Simor Consulting
Legacy capability library
Simor Consulting specializes in building the production-ready data infrastructure that powers successful AI applications. From intelligent pipelines to model customization, we design scalable, reliable data foundations for enterprise AI.
Design and implement high-throughput data pipelines optimized for AI workloads. Our solutions ensure data quality, lineage tracking, and efficient processing from ingestion to model serving, built on industry-standard frameworks like Apache Spark, Airflow, and Kafka.
Tailor foundation models to your specific business needs with our comprehensive fine-tuning expertise. We transform general-purpose LLMs into specialized AI solutions that understand your domain, follow your guidelines, and deliver business-aligned results.
Implement scalable vector database solutions for semantic search, RAG applications, and multimedia AI. Our specialists design and optimize embedding infrastructure that ensures performance, latency, and cost-efficiency for LLM applications.
Create the comprehensive data foundation needed for successful LLM implementations. From data preparation for fine-tuning to knowledge retrieval systems, we build the infrastructure that enables your LLM applications to deliver reliable, secure, and accurate results.
Design low-latency data serving architectures for real-time AI applications. Our solutions ensure consistent, reliable data delivery for inference systems with appropriate caching, scaling, and monitoring to meet enterprise SLAs.
Implement robust data quality frameworks and governance processes specifically designed for AI systems. Our solutions address data drift detection, model monitoring, and regulatory compliance to ensure your AI applications remain reliable and trustworthy.
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The scorecard gives you a fast baseline across the seven layers, then we can turn that into a tighter hardening plan.