We turn complex enterprise workflows into production-ready AI agents. From procurement to knowledge retrieval, we handle everything.
Proven architectures running in production today.
# Multi-agent procurement workflow agent = ProcurementAgent( extractors=["price", "specs", "delivery"], comparison_model="gpt-4", confidence_threshold=0.85 ) result = agent.compare_quotes( rfq_id="RFQ-2024-001" )
Compare supplier quotations across hundreds of line items in seconds.
# Invoice extraction pipeline pipeline: - extract_structured_data - validate_line_items - match_to_purchase_orders output: validated_invoice.json confidence: 0.92
Structured data extraction from invoices, contracts, and forms.
# RAG-powered knowledge retrieval agent = KnowledgeAgent( knowledge_sources=[ "company_policies.pdf", "product_catalog", "support_tickets_db" ], embedding_model="text-embedding-3-large", retrieval_strategy="hybrid" ) response = agent.query("Return policy?")
Instant answers from your internal knowledge base.
# Automated competitor analysis research_agent.configure( sources=["web", "filings", "news"], analysis=["pricing", "features"], schedule="daily" )
Continuous competitor monitoring and actionable insights.
From discovery to production. One team, end-to-end.
Workflow audit, ROI modeling, architecture design.
Multi-agent systems, LLM optimization, integration.
Monitoring, observability, continuous optimization.
Dedicated support to keep your agents running at peak performance.
“Every company wants AI agents. Few can build them for production. We've done it 30+ times. That's the difference.
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