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Offshore pricing · Onshore results

Stop writing specsfor offshore teams.

Onshore delivery at offshore economics— with senior engineers and product people in the loop.

You bring the business asks. Our product leads turn them into specs. Senior engineers own what ships. Agentic workers deliver at 10× the pace offshore could five years ago. We prove it on your backlog before you pay full price.

Book a scoping callSee the delivery model →
Named senior engineers on every account
Product people who write the specs
Shadow eval on your real data first
Tylt Workspace · Shadow eval · Last 50 tickets
shadow mode · no prod changes
42 would ship · 6 flagged · 2 for review
Replay results — your Jira backlog, last 90 days
Customer portal SSO integration
would ship
Reporting dashboard — filter by region
would ship
Bulk import validation edge cases
flagged
Payment webhook retry logic
would ship
Legacy API migration — auth tokens
review
vs. your offshore team: ~6 weeks avg per itemTylt estimate: 3–5 days per item
10×
Faster turnaround vs offshore (2021 baseline)
≤2×
Fully loaded cost vs your offshore team
<10%
Rework rate — senior review on every merge
5 days
To a credible week-1 deliverable
Why teams are switching

Offshore saved you money. Then it started costing you velocity.

When every feature needs product judgment, the cheap hours stop mattering. You're not leaving offshore for patriotism — you're leaving because rework and spec-writing ate the savings.

Tylt — onshore delivery
Senior engineers in the loop — named, accountable, writing and reviewing every merge
Product people who turn your asks into specs — you stop writing tickets for offshore
Ship in days, not sprints — AI handles boilerplate, seniors handle judgment
Prove it first — shadow eval on your historical data before you pay full price
US hours, daily async updates — no 12-hour timezone ping-pong
Traditional offshore shop
Junior devs with a US account manager — escalation, not ownership
You write the spec — then spend hours reviewing code that missed the point
4–6 week cycles for small features — velocity hasn't changed in years
“Done” means merged, not working in production for your users
Hidden cost: your time + rework often exceeds the labor arbitrage
What you get

The team offshore never gave you

Not a bench of developers waiting for tickets. A product engineering org that takes your asks and returns shipped software.

Senior engineers in the loop

Named, accountable, US-based engineers who architect, review, and own production — not 'available for escalation' from 10 time zones away.

Product people, not project managers

Someone who hears 'we need X for sales' and returns a one-pager with user stories, scope cuts, and acceptance criteria — without you writing the spec.

10× the velocity

A feature that took your offshore team six weeks ships in days. AI handles boilerplate; seniors handle judgment. The waste is what's gone.
The delivery model

From messy ask to production in days

No six-week discovery phase. No ticket queue. One continuous loop — spec, build, eval, ship — with senior people accountable at every step.

01

Your ask

A Slack message, a 30-minute call, a messy paragraph — however you actually communicate today.

02

Product spec

Our product lead returns scope, success metrics, and what we're not doing — same day.

03

Senior review

A named engineer signs off on approach, risks, and architecture before a line ships.

04

Build & eval

Agentic workers build at speed; seniors review every merge. Shadow eval on your data.

05

Production

Staging in days, pilot in weeks. Handoff docs, observability, 30-day fix window.

The formula

It takes all three.

A model supplies none of what makes great software. You bring the product expertise — what to build and how you'll know it's right. We bring the AI and engineering expertise, plus the agentic system that turns it into reviewed, production-grade code. Drop any one of the three and you get plausible code that doesn't fit, doesn't scale, or never ships.

You bring this

Product expertise

Your product expert

One person on your side owns what to build and how you'll know it's right — the requirements up front and the acceptance testing at the end. Nobody knows your business like you do.

It does what your business actually needs
Tylt brings this

AI + engineering expertise

An AI-native senior engineer

One of our top engineers — fluent in both the model and the architecture — owns the quality bar, reviews everything the agents produce, and rejects what only looks right.

It works as expected and scales to your daily active users
Tylt brings this

The system we built

Our agentic worker system

A purpose-built harness puts a configurable fleet of agent workers to work under that engineer's direction, doing the physical build at speed. Dial it up or down to match your pace.

  • Coding
  • Specs
  • Documentation
  • Testing
  • Deployment
It ships fast, without the headcount or the bill

= a great product

Software that does exactly what it's supposed to do — and scales to the daily active users you need it to.

Three options

Offshore vs agency vs Tylt

Offshore is cheap until you count your time. US agencies are quality until you see the invoice. Tylt is the third option — onshore accountability at offshore economics.

Tylt
  • Senior engineers accountable by name
  • Product people write the specs
  • Ship small features in days
  • Prove it on your data before full price
  • US hours, daily async updates
  • Total cost competitive with offshore
  • You own all code & IP
  • No minimum headcount or lock-in
Offshore shop
  • Senior engineers accountable by name
  • Product people write the specs
  • Ship small features in days
  • Prove it on your data before full price
  • US hours, daily async updates
  • Total cost competitive with offshore
  • You own all code & IP
  • No minimum headcount or lock-in
US agency
  • Senior engineers accountable by name
  • Product people write the specs
  • Ship small features in days
  • Prove it on your data before full price
  • US hours, daily async updates
  • Total cost competitive with offshore
  • You own all code & IP
  • No minimum headcount or lock-in
90-day pilot

Low risk to switch

We don't ask you to fire your offshore team on faith. One workflow, one fixed price, one shadow eval — then you decide.

Week 1 — shadow eval

Replay your last 50 tickets or user stories. See what we would have shipped, flagged, or sent back — on your data, in shadow mode.
  • No production changes
  • Full transparency
  • Kill clause if not credible

Weeks 2–3 — production pilot

One scoped workflow live in production. Named product lead + senior engineer on the SOW. Fixed price — typically $25–40k for the first workflow.
  • Named team in writing
  • Fixed outcome price
  • Your repo & stack

Day 90 — your call

Expand to a retainer, add workflows, or keep the code and run it yourself. No penalties for scaling down. You own everything either way.
  • Outcome-based retainer
  • Scale up or pause
  • 100% IP ownership

Run the numbers

What would Tylt save vs your offshore team?

Plug in your current dev count, rates, and rework. Compare fully loaded cost — not just the hourly line item.

Your current team

Tick “Uses AI” for anyone already on Claude Code, Copilot, etc.
$/yr
$/yr
$/yr

Assumptions

1.30×

Base salary → true cost (benefits, tax, equipment, overhead). Industry standard ≈ 1.3×.

360 hrs

How much agent time it takes us to deliver one developer-month of reviewed output. Higher = more conservative.

Cost reduction vs your in-house team

74%less with Tylt

Your team, loaded

$52,000/mo

With Tylt

$13,690/mo

You save / year

$459,720

$38,310/mo · ~1.4 effective dev-months matched

Get this quote
FAQ

Questions from teams switching off offshore

Still comparing options? Book a call — we'll run the math on your backlog.

Send us one messy ask and a sample of your backlog

In five business days we'll return a spec, a shadow eval, and a fixed price for a production pilot. Named team. US hours. No six-week discovery.

Typical reply within a few hours · Pilot spots via the bar above