JBS Dev

Big Consultancies Sell the Vision.
Then Hand You Off to Juniors.

You deserve senior engineers who ship — not a rotating cast of offshore contractors learning on your dime.

SOC2
AWS Advanced Partner
HIPAA Ready

Trusted by

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Talk to a Senior Engineer

No sales team. No runaround. Tell us what's broken and we'll tell you if we can fix it.

Talk to a senior engineer, not a sales rep. 100% HIPAA/GDPR compliant.

What Senior-Led Engineering Actually Looks Like

The engineers you meet in discovery are the engineers who build your solution. No handoffs. No offshore rotation. We ship production software on AWS with the same small, senior team from kickoff to launch.

Senior-Led

Work directly with expert engineers, never a B-team.

High-Velocity

From discovery to production in weeks, not months.

AWS Native

Built on enterprise-grade AWS infrastructure.

0

Offshore Handoffs

<6

Weeks to Production

100%

Client IP Ownership

10+

Avg. Years Engineer Experience

The Brutal Truth

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 Results

The Big Consultancy Model Is Broken

Billable hours vs. production outcomes

What Big Consultancies Do

  • close Senior team pitches, junior team builds
  • close Offshore contractors cycling every few months
  • close Endless discovery phases that never ship
  • close You pay for their learning curve on your stack

What JBS Dev Does

  • check_circle Same senior engineers from pitch to production
  • check_circle 100% US-based team — no offshore handoffs
  • check_circle Production code in weeks, not quarters
  • check_circle We know your stack before we start — AWS-native experts
Large consultancies optimize for headcount and billable hours. We optimize for shipping production software that works. That's a fundamentally different incentive — and it shows in the output.
See Real Results

Real Results. Not Slide Decks.

AI-Generated Content Outperforms Humans by 50%

The Challenge

Email campaigns drove over half of revenue, but crafting content manually was a bottleneck — especially when onboarding new wineries. They needed to automate content creation while preserving a distinctive brand voice.

The Solution

JBS Dev built a fine-tuned AI content pipeline using AWS SageMaker and Bedrock — not just prompt engineering. We ran controlled A/B experiments across four test groups to prove performance before scaling.

The Result

AI-generated emails outperformed all other test groups — including human-edited — by 50%+ in revenue on peak days. Content throughput more than doubled.

10x Scale Without Changing the Platform

The Challenge

Fama's AI screening platform ran on managed servers with Java and Kubernetes. Each new customer required adding servers and coordination layers — expensive, slow, and couldn't keep up with growth.

The Solution

JBS Dev migrated the entire platform to AWS serverless: Fargate for ML models, EventBridge for orchestration, Lambda for event-driven compute, and SageMaker for model training. Over 90% of operations now run on AWS.

The Result

Fama can now handle 10x the traffic without changing platform structure. Infrastructure costs dropped significantly while handling traffic spikes automatically.

Healthcare AI: From Manual Review to Real-Time Processing

The Challenge

A healthcare tech company processing Epic medical records from multiple hospital systems faced inconsistent formats — some brief, some hundreds of pages — making manual review unscalable.

The Solution

JBS Dev built an AI-powered document processing pipeline using Amazon Bedrock LLMs to extract and standardize medical data, with Lambda for orchestration and dynamic scaling.

The Result

Automated what was previously manual review. Real-time clinical insights, reduced errors, and consistent processing regardless of document volume.

Get the Free AI Playbook

Why Enterprise Projects Fail with Big Consultancies

Senior partners sell the work, then disappear. Junior resources churn. Nobody owns the architecture. Six months later you're rewriting everything — or worse, starting over.

The Consultancy Trap

  • warning Bait-and-switch: seniors pitch, juniors deliver
  • warning Staff rotation destroys project continuity
  • warning No one owns the architecture end-to-end
  • warning You're locked into their proprietary frameworks

Engineering That Actually Ships

Every project gets a dedicated senior team that owns the outcome. We commit to production delivery on a timeline you can hold us to.
No Handoffs: The engineers you meet are the engineers who build your solution. Same team, start to finish. That's how we've operated for 15 years.
Get the Free AI Playbook

Free guide + 30-min architecture call with a senior engineer

Questions We Actually Get Asked

How does JBS Dev ensure data privacy in an Agentic AI workflow?

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.

How quickly can a production-grade agent be deployed?

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.

How do you handle errors in complex tasks?

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.

Can these agents work with our existing legacy systems?

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.

What is the ROI of Agentic AI vs. Traditional methods?

Traditional methods are limited by manual processes. JBS agents provide significant improvement in efficiency by automating the "doing," not just the "summarizing."

Who owns the IP of the custom agents built by JBS Dev?

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.

How do you prevent "Prompt Injection" attacks on enterprise agents?

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.

Can these agents handle 10,000+ concurrent tasks?

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.

How does the agent stay updated as our systems evolve?

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.

Will this agent require our senior staff to learn new languages?

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.

What is the sub-second response time for agents pulling from legacy data?

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.

What happens if the underlying LLM (like Claude or GPT) goes offline?

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.