Scaling Enterprise SQL RAG to ~95% Accuracy
How business semantics, cost-aware model routing, evals, and human feedback turned a text-to-SQL prototype into a production analytics engine.
Every system documented here runs against real operational data inside client infrastructure. Explore our architectural topologies, latency SLAs, evaluation harnesses, and security boundaries.
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Explore our 14 ready-to-deploy agents mapped by Department and Industry with instant execution testing.
How business semantics, cost-aware model routing, evals, and human feedback turned a text-to-SQL prototype into a production analytics engine.
Production-grade live voice interaction, contextual candidate retrieval, sandboxed live coding, and explainable scoring across 150+ engineer-days.
Architectural blueprint for AI-assisted 1:1 education across 9 learner stages and 30+ capabilities: teacher copilots, mastery tracking, and safe autonomy.
Multi-cloud Terraform AST parsing, automated IAM drift detection, and continuous GitOps remediation PRs cutting audit prep from 8 weeks to zero manual overhead.
A dual-tier streaming architecture combining Kafka/Flink event pipelines, Graph Neural Network subgraph clustering, and an LLM explainability layer.
On-premises HIPAA-compliant multi-modal pipeline ingesting clinical records, mapping codes to FHIR standards, and cutting adjudication cycles by 82%.
Migrating 1.8M lines of monolithic Java and COBOL banking services to modern Go/TypeScript microservices with differential fuzzing equivalence verification.
Observability agent swarm correlating multi-service telemetry, isolating root causes in 38s, and validating canary rollbacks before human sign-off.
Document-level RBAC/ABAC authorization filtering, hybrid sparse-dense vector search, and a self-corrective hallucination grader across 10M internal docs.
Inbound contract review and native OpenXML tracked-changes redlining against enterprise legal playbooks, cutting procurement cycle times by 90%.
Quantized 8-bit sensor intelligence running on edge hardware with store-and-forward sync, predicting motor and fleet failures 48 hours in advance.
Dynamic prompt complexity cascading, Redis vector semantic caching, and sub-10ms routing decisions saving $190,000/month in frontier model inference fees.
Ingesting satellite AIS vessel feeds, weather telemetry, and manifests to predict port dwell times 7 days ahead and solve multi-echelon container re-routing.
Specialized agent swarms for tier-1 support with deterministic refund guardrails, achieving 71% deflection with zero unsafe mutations across 850k actions.
Generating mathematically proven epsilon-differentially private synthetic databases that preserve foreign keys, distributions, and compliance across 200+ tables.