Turn AI from a promising idea into a production-ready system.

For Arlington, VA and DC-area businesses that need AI to actually work — securely, scalably, and without the enterprise overhead.

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Why most AI projects stall

Companies know AI matters. They just don’t know how to make it real inside their business.

Not connected to your data

ChatGPT is useful, but it doesn’t know your documents, customers, or workflows. The real value comes from connecting AI to your proprietary knowledge.

No production path

A working prototype is easy. A secure, observable, cost-controlled deployment is not. Most teams get stuck between demo and production.

Too many options

RAG, agents, fine-tuning, MCP, automation — the tool landscape is overwhelming. You need someone who knows which lever to pull first.

Engineers are already busy

Your team has a roadmap. They don’t have bandwidth to become AI infrastructure experts on top of their day job.

How we help

Start free. Get a fixed-price assessment. Scale into production when you're ready.

Free AI Quick Diagnostic

Free — 30 minutes

A short call to identify your highest-impact AI opportunity.

  • One-page prioritized idea list
  • Effort/ROI estimate for each idea
  • No pitch, no commitment
  • Best starting point for new clients
Book a Diagnostic

AI Opportunity Audit

$1,500–$3,000

1–2 week diagnostic of your business, data, and tech stack.

  • Map of your AI-ready data and workflows
  • 3 ranked AI opportunities with effort/ROI scores
  • 90-day roadmap with cost estimates
  • Technical feasibility and risk assessment
Request an Audit

AI Implementation Sprint

$5,000–$15,000

Build and deploy one focused production AI workflow in 4–8 weeks.

  • RAG pipeline, agentic workflow, or automation
  • Bedrock/SageMaker + OpenTofu infrastructure
  • Security, observability, and cost controls
  • Documentation and team handoff
Start a Sprint

Ongoing Aeglyn retainer

$2,000–$5,000/month

Fractional AI infrastructure and MLOps support.

  • Monthly roadmap and new use cases
  • Monitoring, reliability, and incident response
  • Model updates and pipeline improvements
  • On-call access to a staff-level AI engineer
Talk Retainer

The process

From first contact to deployed system.

Intake

You fill out a short template about your business, goals, and constraints.

Discovery Call

We review the intake and present 3 tailored options for your situation.

Proposal

Clear scope, timeline, and fixed price. No hourly traps.

Build

Production-grade implementation with weekly demos and feedback.

Handoff

We hand it off cleanly or stay on as your fractional AI team.

Frequently asked questions

Do you work with companies outside of tech?

Yes. If you have repetitive knowledge work, documents to process, or customer interactions to improve, AI can likely help. The first step is the audit.

What technologies do you specialize in?

AWS (Bedrock, SageMaker, OpenSearch, Lambda), RAG pipelines, agentic systems, MCP, OpenTofu/Terraform, Python, and security/compliance for regulated environments.

How long before we see results?

The audit delivers a roadmap in two weeks. An implementation sprint typically delivers the first production feature in 4–8 weeks.

What if we just want advice, not a build?

Start with the free diagnostic. For a fixed-price deliverable with specific tool picks and a guaranteed 5 hours/week in savings, book the $999 AI Tools Assessment. For compliance-heavy AWS roadmaps, the AI Opportunity Audit goes deeper.

Ready to make AI real in your business?

Start with a free 30-minute AI diagnostic. No pitch, no commitment — just a clear picture of your highest-impact opportunity.

Book a Free Diagnostic