Purpose-built RAG and Agentic RAG pipelines for enterprises handling terabyte-scale data
Short 30-second video showing a RAG query in action
Query → Retrieve → Accurate Response with Sources Cited
Trusted by Industry Leaders
How we helped an aerospace manufacturer unlock 60 years of engineering knowledge
Aerospace manufacturer with 500TB of rocket design documentation from 1960s-present. Engineers spent weeks manually searching through scanned blueprints, legacy CAD files, and test reports. Critical design decisions were being made without full historical context, costing an estimated $15M/year in duplicated engineering work.
Aerospace Documentation Retrieval System
RAG-Powered Search Results
Multi-modal RAG pipeline with visual recognition + LlamaIndex. Custom embedding models fine-tuned on aerospace terminology. Hybrid search combining semantic, keyword, and visual similarity. Now engineers can query natural language and get exact diagrams with context in <3 seconds.
End-to-end solutions tailored to your data architecture and business needs
End-to-end pipelines tailored to your data architecture. From legacy archives to real-time streams. We handle everything from data ingestion to deployment and monitoring.
Autonomous AI agents that reason, retrieve, and act across multiple data sources and tools. Perfect for complex workflows requiring multi-step decision making.
Audit existing AI systems and reduce costs 40-60% while improving accuracy. Performance tuning, caching strategies, and infrastructure optimization.
Proven results, research-backed methodology, and outcome guarantees
50+ enterprise deployments handling petabyte-scale data with 99.9% uptime SLAs. We've solved the challenges you're facing.
Co-developing next-gen Agentic RAG frameworks with leading academic institutions. You get cutting-edge solutions backed by research.
Open-source contributions, published research, and detailed documentation. No black boxes - you understand exactly how our systems work.
Performance SLAs with money-back accuracy guarantees. We're confident in our results because we've delivered them consistently.
Combined 40+ years in AI/ML, with dedicated RAG focus since 2020
Latest insights, research, and industry trends
A comprehensive technical comparison for enterprise AI decision-makers. Learn the cost, accuracy, and scalability trade-offs.
Read MoreWhere are you on your RAG journey? Use our 5-stage model to assess readiness and create your roadmap.
Read More8 scenarios where RAG is overkill or the wrong approach. We turn down projects that don't benefit from RAG.
Read MoreLet's discuss how RAG can solve your specific challenges
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