Production AI systems from multi-agent automation to semantic search over millions of documents

Build intelligent systems that autonomously handle complex workflows, deliver instant answers from massive document repositories, and scale operations without proportional hiring. Our AI solutions combine multi-agent architectures, production RAG pipelines, and LLM-powered decision making proven across 6,000+ daily users and enterprise-scale deployments.
Manual validation processes taking 90 days blocking critical operations
Multi-agent validation systems reducing 90-day cycles to 3 days with autonomous SQL checks, flat-file comparisons, and AI-generated rules
Legacy keyword search missing 40-60% of relevant documents
Hybrid semantic + keyword retrieval with ELSER V2 achieving 90%+ recall across millions of engineering documents
Users can't get direct answers, only document lists
Production RAG systems serving 6K+ daily users with cited, summarized answers and source traceability
Manual operator review bottlenecks in satellite telemetry analysis
Real-time anomaly detection reducing manual review by 80% across 5K+ sensor streams
Deep dive into your workflows and document repositories. We map automation opportunities, data sources, and access patterns to design multi-agent systems or RAG architectures optimized for your scale.
Build robust ingestion pipelines, embeddings generation, and multi-agent orchestration. We implement hybrid retrieval (BM25 + vector search), deterministic validation rules, and LLM integration with full audit trails.
Deploy with parallel validation against existing processes. We prove accuracy before full cutover, implement human-in-the-loop checkpoints, and ensure graceful degradation for mission-critical workflows.
Implement observability dashboards tracking agent performance, search recall, and SLA compliance. We continuously optimize retrieval relevance, agent decision logic, and scale to additional workflows or document sources.
A multi-agent validation engine that automates SAP payroll quality checks. Agents run SQL validation, flat-file comparisons, and AI-generated rules to detect issues across legacy systems.

Production search engine using ELSER V2 and Elasticsearch serving 6,000+ daily users. Hybrid semantic + keyword retrieval over millions of engineering documents with domain-specific accuracy.
Rebuilt legacy search platform with modern BM25, hybrid vector retrieval, and RRF ranking. Improved query relevance, reduced ingestion time, and decreased operational overhead for engineering teams.
Schedule a free consultation to discuss your AI engineering needs. Whether you need multi-agent automation, enterprise RAG, or intelligent search, we'll design a solution proven at scale.