Trusted by teams shipping mission-critical systems
Production AI systems your engineers can operate from day one.
Agents that take real actions, with a human in the loop where it counts.
Answers from your documents and data — with citations, not links.
Structure pulled from raw video and images, at production frame rates.
Unstructured documents turned into clean, queryable data.
The pipelines and platforms your models and reports depend on.
Legacy systems moved to cloud-native architecture without the downtime.
A defensible AI roadmap your board and examiner both accept.
Case study · Fortune 500 manufacturer
A 90% reduction in data retrieval time across a global supply chain — without touching the underlying ERP.
A Fortune 500 manufacturer's procurement team was waiting minutes for answers their leadership needed in seconds. Their SAP environment held the data; it just couldn't be queried without specialized knowledge.
We built a Microsoft Copilot Studio integration sitting directly on top of the application layer. Business users ask questions in plain English; structured queries hit secure OData services in the background; answers come back in under a second.
The result: 90% faster procurement data retrieval, no SAP migration, no new query language for the team to learn.
1# Conversational ERP layer2target_system: "SAP_S4HANA"3interface: "ODATA_SERVICES"45nlp:6 model: "azure_openai_gpt4"7 ontology: "supply_chain"89metrics:10 latency_reduction: "90%"11 query_precision: "99.8%"1213governance: "human_in_the_loop"14status: "PRODUCTION"They came in after two larger firms told us the migration couldn't be done in our window. They shipped it in twelve weeks with zero downtime.
A pre-pilot checklist mapping member data, governance, and vendor diligence to the NCUA's AI risk expectations.
Get the checklistCutting a nine-hour survivor vetting cycle to seconds across 57 counties on a zero-trust edge.
Read the case studyA unified assistant over documents, SOPs, and chat that recovered $12.4M in lost productivity.
Read the case studyCloud providers bring us their hardest customer implementations. We handle the edge cases: legacy modernization, AI in regulated environments, real-time data systems, and mission-critical platforms.
Reduce latency in mission-critical decision loops through intelligent indexing and caching strategies.
Rapid time-to-value for complex enterprise systems. We ship production code while others are still planning.
Security-first architecture from day one. FedRAMP-aligned, HIPAA-ready, and NIST AI RMF 1.0-aligned by design.
May 14, 2026
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