Know the Upfront Cost. Then we Build and Ship it.

Independent advisory for companies making their first serious AI investment. A decade of enterprise platform engineering — the infrastructure other teams build on — pointed at what your deployment actually costs to build, run, and keep running.

Team
Engineers, SEO, photography, data entry, AI agents
Credentials
Apple, Microsoft, Intuit · Granted U.S. patents
Reach
Worldwide · Working timezone PST

Practice Areas Where We Come In

01 — BEFORE YOU COMMIT

Strategy & model selection

Which model holds quality for your workload, on hardware you can afford. Benchmarked against your data, not a leaderboard.

  • Use-case triage
  • Open vs. closed evaluation
  • Build / buy / wait call
02 — BEFORE YOU SIGN

Cost & capacity modeling

Unit economics at your real volume: where self-hosting overtakes a managed API, the bill at ten times the traffic, and what breaks first.

  • Token & GPU economics
  • Break-even analysis
  • Vendor contract review
03 — AFTER LAUNCH

Deployment & readiness

Architecture, failover, latency budgets, and the on-call story. The part that decides whether it survives month three.

  • Reference architecture
  • Observability & alerting
  • Runbooks & handoff
Adjacent practice

Digital presence & market share

The line this practice was built on, and still running: web presence, technical SEO, and e-commerce growth. Same discipline — measure it, find the waste, remove it — applied to page speed, crawlability, and conversion. See selected work.

Cost Model What It Costs to Run

Input and output are priced differently, caching and batching change the math, and retries quietly inflate every line. Put your real workload in — then see what would actually cut it.

Estimated year-one spend

$0

$0 in month one

$0 per request $0 per 1,000 requests 0% of the bill is output

Your workload

Managed API or Self-Host?

Input and output are billed separately — output typically runs three to five times the input rate, which is why a workload that looks cheap on paper isn't. Retries are applied to both before anything else, because a failed call still bills. Cached input is charged at the discount you set; Anthropic reads cached tokens at roughly a tenth of list, other providers differ. Batch and committed-use discounts are applied last, to the subtotal. Year one compounds monthly growth rather than multiplying month one by twelve. Self-host break-even is (GPU + ops × $95/hr) ÷ cost per request.

Excluded: engineering time, evaluation, embeddings, vector storage, egress and the cost of an outage — which routinely exceed the inference bill in year one. Model prices are indicative list rates and every field is editable; verify with your provider before committing budget.

Where the money goes

Input tokens$0
Output tokens$0
Saved by caching$0

What would actually cut this

    What your workload costs on every model

    Model In / Out per 1M Per month Year one vs. yours

    Client Work Live, and Still Running

    Engagement How We Operate

    01

    First consultation

    We ask the questions that expose the real constraint, then tell you whether you need a consultant at all — sometimes the answer is no. You leave with a straight answer either way.

    30 minutes · no obligation
    02

    Assessment

    A written deliverable: benchmarked model recommendation, a cost model at your volumes, reference architecture, and the risks nobody flagged. Yours to keep and to shop around.

    1–2 weeks · quoted in advance
    03

    Build & handoff

    Implementation oversight next to your team or your vendor, through launch and into steady state — then a handoff package so nothing depends on us. You keep the runbook.

    Monthly · fixed scope
    Also from Daraghmeh Digital

    Web & e-commerce

    The same discipline applied to the public-facing side of the business: one team designs it, builds it, shoots the photography, and keeps it running.

    Design & build

    Structure, front-end, and CMS — built to load fast on a phone and stay maintainable after handoff.

    Technical SEO

    Crawlability, Core Web Vitals, structured data, and the fixes that move rankings.

    Photography & content

    Original product and location photography, so the storefront isn't furnished with stock images.

    Hosting & maintenance

    Updates, monitoring, backups, and a real person to call the day something breaks.

    Working With Us Common Questions

    Confidentiality, data handling, and what happens if it goes wrong.

    Who sees our data, and what happens to it afterwards?

    Only the people assigned to your engagement. Wherever it's technically possible we work inside your environment rather than copying data out, so your systems stay the system of record. Nothing you share is used to train a model, reused for another client, or kept once the engagement closes — and we'll confirm deletion in writing on request.

    Can you work under our security and compliance requirements?

    Yes. We've delivered on platforms carrying GDPR obligations and regional data-residency rules, and we're used to working inside controls set by someone else's security team — background checks, access reviews, dedicated accounts, restricted environments. Tell us the constraints and we'll work within them rather than asking for exceptions.

    What if the work isn't what we expected?

    Every engagement runs against a scope agreed in writing before anything starts. If what we deliver doesn't match that scope, we revise it at no additional charge until it does. And if you decide after the first week that this isn't working, you pay for the week that's been worked, keep everything produced to that point, and we part on good terms.

    Do you resell anything?

    No. No hardware, no licenses, no cloud credits, no referral fees from model providers. The only thing we sell is our time — which is exactly why we can tell you to spend less.

    What if we don't actually need AI?

    Then that's the answer, and you get it in the first consultation before you've paid anything. A surprising share of "AI problems" turn out to be reporting problems, data-quality problems, or a search index nobody ever tuned.

    Why does an AI practice also do SEO and e-commerce?

    Because it's the line this practice was founded on and those clients are still served. Most volume today is AI and infrastructure advisory, but the web work draws on the same engineering habits.

    How do you charge?

    Assessments are a fixed fee quoted after the first consultation, so you know the price before committing. Ongoing work is a monthly retainer against a fixed scope. No hourly billing, and no change order for asking a question.

    Contact Get in Touch

    The first consultation is short and free. If it isn't a fit, we'll say so and point you at what is.

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