AI-Native Software Studio

Your product. Built and shipped.
In days, not months. By senior engineers. Not freelancers, not autocomplete.

Asyncdot is an AI-Native Software Studio for non-technical founders and agencies. Same senior engineers, redesigned operating system. 4-hour design-build-review cycles. Line-by-line senior review on every change. Fixed quotes from $1,500 to $25,000. Named engineers, kickoff to launch.

[ Get a fixed quote ] See How It Works
5-day SaaS MVPs · 48-hour AI agents · Line-by-line senior review
"Two more weeks." Three times.
Friday demos. Every Friday.
$52K spent. Half a product.
$1,500 audit. Written diagnosis.
£85K pitch lost on "we don't do AI."
"Yes, we build that," with conviction.
€240K Munich quote, six months.
Same scope, ten weeks, one third the price.
Shipped for founders building SaaS, mobile, and AI products
// Vs The Alternatives
Five ways to ship a product.
Only one of them ships in five days.

What you actually pick between when the MVP has to ship. Numbers are real, not aspirational.

Asyncdot Failed overseas shop Freelancer In-house hire EU boutique studio
Time to working product 5 days to 6 weeks "Two more weeks." Three times. Variable 3 to 6 months to hire 4 to 12 weeks
Named senior engineer on every line Yes, contractual PM layer between you and the code Person-dependent Only if you hire senior "World-class team"
Engineer-continuity guarantee Pause at no cost if they leave No No Until they quit No
Fixed quote $1.5K to $25K, written $35K became $52K Hourly creep $150K+/year "Starting at $9K"
EU data residency by default Frankfurt or Stockholm No No If you build it Yes
White-label, NDA day one Yes, default Sometimes No N/A Sometimes
// Why We're Fast
The same engineers.
A different operating system.

What you get, three ways: a working product to click through every Friday, one path built well instead of five half-built, and bugs caught before your customer finds them. The mechanism is that we treat AI as a substrate, not autocomplete, which is why the work that used to take a sprint takes an afternoon.

01

Tighter loops

Working product on Friday. Every Friday. You stop guessing whether your build is on track because you click through it the same week you brief it. 4-hour cycles, not 2-week sprints.

Daily
02

Sharper specs

You pay for one path built well, not five half-built. The senior engineer picks the one you need at the spec stage and kills the ninety-nine you don't, before any of them get billed.

Decisive
03

Faster validation

Bugs caught before your customer finds them. Every line reviewed by a senior engineer before it ships. You launch production-grade, not "we will fix it in the next sprint."

Production-grade
// How It Works
Describe it. We build it.
That's the whole process.

No sprint planning. No standups. No PM layer between you and the engineer writing the code. You describe what you need (or paste the failed-vendor build you cannot un-spend on). The senior engineer who reads your message commits the change.

01

Describe what you need (or what is broken)

An MVP, a mobile app, a new feature, an AI agent, an internal tool. Or the failed build that has been "almost done" for nine weeks. Write it like you'd describe it to a senior engineer, or just a rough idea. We clarify on the call.

Takes 5 minutes
02

We turn the spec into shipping code

Senior engineers run the build using our AI-native stack: drafting, reviewing, redirecting, and rejecting in tight loops. The model accelerates the keystrokes. The engineering team owns every line that ships. Tested, deployed, production-grade. Frankfurt-region or US-region deployment, your choice.

Takes days, not weeks
03

Receive, review, repeat

Deployed, documented, production-ready. Full source code, complete ownership. NDA day one. White-label by default for agencies. Submit your next request immediately. Build continuously. Meet the senior engineers behind every line.

Unlimited requests
// What We Build
Everything you'd hire
a team to build.

Frontend, backend, AI, infrastructure. The full surface area an integrated team would deliver. One team, one budget, one accountable senior engineer per build.

SaaS Products, Mobile Apps and MVPs

Full web and mobile applications with auth, billing, dashboards, and APIs. Next.js, React Native, TypeScript, clean architecture. Launch-ready, not just demo-ready.

Avg. 5 days

AI Agents and Chatbots

Custom AI with RAG pipelines, vector stores, guardrails, and monitoring. Tested, deployed, production-grade.

Avg. 48 hours

Workflow Automation

Kill the manual processes draining your time. Custom automations that connect your systems and run on autopilot.

Avg. 3 days

Features and Internal Tools

New features for existing products. Admin panels, dashboards, ops tools. Whatever your business needs to move faster.

Ongoing
// Where MVPs Break
When MVPs break,
this is where they break.

Three failure modes show up after the demo, every time. Senior engineering catches each one at the spec stage. AI accelerates the work; the discipline still ships through people.

Spec drift

Week one feels productive. Week six, nobody can articulate what "done" means. Senior engineers pick the one path you need and kill the others before the rebuild loop starts.

Production fragility

The demo works. Real load breaks login flows, edge cases surface as Saturday-night incidents, and the team realizes they shipped a prototype, not an MVP. We ship for production: error paths, observability, and rollback are part of the spec, not retrofits.

Cost runaway

The first 80% takes four weeks. The last 20% takes twelve, because nobody designed for the second iteration. Senior engineering compounds against the same architecture and conventions, so the second pass costs less than the first.

// Under The Hood
Built on the stack
you'd hire for.

Modern stack, clean architecture, full source code ownership.
Your CTO can inspect, extend, and audit every line.

[ FRONTEND ]
Next.js
React
TypeScript
Tailwind
Expo
[ AI / BACKEND ]
Python
Node.js
Anthropic
OpenAI
Mastra
[ INFRASTRUCTURE ]
AWS
Vercel
Cloudflare
Docker
Postgres
[ SEE FULL STACK → ]
// Plans
Launch one product.
Or build continuously.

Start with a single fixed-quote build, or subscribe for ongoing development. No contracts. Pause or cancel anytime.

Launch

SaaS MVP, fixed price

Idea to deployed product in 4 to 6 weeks. One fixed quote. Auth, billing, dashboards, APIs. Production-grade, not demo-ready.

$12,000 fixed4 to 6 weeks, kickoff to launch
  • Full SaaS: auth, billing, dashboards, APIs
  • Senior engineer review on every line
  • Full source code ownership, deployed to your infrastructure
  • 30 days post-launch support included
  • Not ready for the full build? Start with a $1,500 5-day audit
  • Rescuing a failed prior vendor? $14K to $20K rebuild
Get a Quote
// Get Started
Tell us where
you are stuck.

Reply within 4 hours during your business day. 25-minute intro call. No spec doc, no pitch deck. A rough idea, a failed-vendor codebase, or a missed launch window is enough. We will tell you on the call whether we are the right team. If not, we will name two who might be.

No commitment. We reply within 4 hours.

ResponseWithin 4 hours
First deliveryThis week
CommitmentNone. Cancel anytime.
MeetingsJust this one.
// FAQ
Common questions,
straight answers.
I've already been burned by an overseas dev shop. Why is Sri Lanka different?

One named senior engineer on your account from kickoff to launch. Engineer continuity is a contract clause, not a hope. If they ever move off, the engagement pauses at no cost to you, and you choose whether to continue. The model that burned you was a ticket farm with a project manager between you and whoever wrote the code. Ours is the engineer in the call, named, with a face. Meet the senior engineers.

I have already paid one vendor more than I budgeted. Why is the next invoice different?

We start at $1,500. Five days, fixed scope, written diagnosis of your current build (or your proposed scope) with a fixed quote on either fork: rescue path or rebuild path. If we are not the right team after the audit, you owe nothing more. The audit costs less than one month of a CTO-as-a-service retainer and replaces that line item entirely. What a $5K vs $12K vs $50K MVP actually buys.

What about GDPR, EU data residency, and supplier-story optics in DACH B2B sales?

Frankfurt-region (AWS eu-central-1) or Stockholm-region (eu-north-1) deployment by default. DPA template in every SOW. Sub-processor list documented. No US-based AI providers without an EU-region endpoint. Two prior GDPR audits with EU clients. We fly to Berlin, Amsterdam, or Stockholm on request to sit on customer calls if your supplier story needs the founder in the room. Read the full EU positioning.

We already have engineers, or a brand team. Does this still make sense?

Yes. Most engagements run as overflow capacity, white-label bench for brand and UX agencies, or new product surface area an in-house team cannot get to. NDA day one. Slack channels on your domain. Your client never sees us. Founders without an in-house team use us instead of a months-long technical-cofounder search. you don't need a technical cofounder.