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Advanced Partner
Trusted by
Work directly with expert engineers, never a B-team.
From discovery to production in weeks, not months.
Built on enterprise-grade AWS infrastructure.
Reduction in Manual Processing
Weeks to Production
Client IP Ownership
AWS Infrastructure Uptime
Most companies don't have an AI problem. They have workflow, data, infrastructure, and integration problems. That's why most AI pilots die — and why we focus on solving the real blockers first.
See the ResultsInnovation theater vs. production-grade workflows
Faster processing, fewer manual touches, and better visibility into billing issues before approval.
Forecasting time was reduced from days to minutes, improving planning speed and decision confidence.
Reduced errors, faster processing, and less manual review across document-heavy workflows.
Free guide + 30-min architecture call with a senior engineer
Our architecture utilizes private VPC environments and Amazon Bedrock Guardrails to ensure your data never leaves your infrastructure or trains public models. We implement enterprise-grade encryption and PII redacting layers before any data reaches the LLM.
Because we focus on high-velocity engineering, we move from discovery to a functional "Sidecar" agent in weeks, not months. We prioritize integrating with your existing tech stack to avoid "from-scratch" delays.
We don't rely on "black box" logic. Every JBS agent includes a Human-in-the-loop validation layer and a multi-step "Chain of Thought" verification process to eliminate hallucinations and ensure technical precision.
Yes. We specialize in building custom connectors for Legacy SQL, Mainframes, and proprietary databases. Our goal is to make your existing data accessible to AI without a total system overhaul.
Traditional methods are limited by manual processes. JBS agents provide significant improvement in efficiency by automating the "doing," not just the "summarizing."
You do. JBS Dev builds custom software on your infrastructure. Unlike "black-box" SaaS platforms, the proprietary logic, integration code, and agent architectures we deploy are fully owned by the client.
We utilize Amazon Bedrock Guardrails combined with custom "Input Sanitization" layers. Every prompt is intercepted and scrubbed for malicious patterns before it ever touches the LLM inference engine.
Yes. By leveraging AWS Lambda and serverless orchestration, our agentic workflows scale horizontally. We don't build on single servers; we build on cloud-native architecture that expands to meet demand instantly.
Our agents are built with modular API connectors. If you update your database or change your CRM, we simply swap the "Action Tool" in the agent's library without having to retrain the core intelligence.
No. The interface is natural language. Your experts interact with the "Sidecar" agent in plain English (or via existing dashboards) while the agent handles the complex code and data retrieval in the background.
We optimize latency using Vector Caching and Amazon OpenSearch. By indexing legacy metadata, the agent can "locate" the necessary record in milliseconds, ensuring the total "Thought-to-Action" cycle stays under 2 seconds.
We design for LLM Redundancy. Our orchestration layer can automatically "failover" to a secondary model (e.g., from Claude 3 to Llama 3) to ensure your business-critical workflows never stop.