CloudWeld | AI-Built Software, Made Production-Grade

CloudWeld hardens AI-built apps, ships production-grade MCP and agent integrations, and cuts AI infrastructure costs. Fixed prices, senior engineers.

AI builds fast. We make it hold.

CloudWeld takes AI-built software to production. We harden the security, fix the infrastructure, and put you in control of the stack underneath: your code, your cloud, your AI bill.

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WHAT WE DO

Four Services. Fixed Prices.

Engagements for software built with AI tools, and for the teams that keep building with them. Every one starts with a free teardown call and a written, fixed-price scope.

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Production-Ready Sprint

Your AI-built app has real users. In two to four weeks we fix authentication, secrets, backups, deployments, and monitoring, then hand you a runbook your next hire can follow. From $8,000, fixed.

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Agent-Ready Integrations

MCP servers and agent integrations that pass an enterprise security review: OAuth, tenant isolation, rate limits, and tool design tested against real models. Scoped and fixed-priced after a call.

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AI Cost Engineering

We meter your AI spend, then cut it with routing, caching, and right-sized models. If our teardown cannot find at least 25 percent in credible savings, it is free.

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Fractional Platform Team

Senior engineers who embed on a monthly retainer, scoped to what you need. We review what your AI tools produce, keep the platform healthy, and watch the bill.

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Why CloudWeld

We Run What We Sell.

CloudWeld builds and operates its own AI products. The playbooks on this site are the ones we use ourselves.

Fixed Price, in Writing

Every engagement starts with a written scope and a number. No hourly meters, no surprise invoices, no phase-two ambush.

Senior Engineers Only

The people on the call are the people in the code. Nobody learns on your project, and nothing gets handed off to a bench.

You Own Everything

Your repo, your cloud accounts, your models, your documentation. When we step away, nothing stops working.

When to Call Us

Teams call CloudWeld when:

A security review or investor is asking questions.

An enterprise customer sent a security questionnaire, or due diligence started, and the honest answer to "who understands this code?" is "the AI".

The app that worked for 50 users is failing at 500.

Timeouts, lost data, no staging environment, and every fix breaks something else. Growth turned the prototype into a liability.

Something already went wrong.

A leaked API key, a deleted database, strange charges, user data where it should not be. It needs to be contained this week, not this quarter.

The AI bill grew faster than revenue.

Flat-rate plans became metered ones, and nobody can say what a single user costs to serve. Margin is disappearing into tokens.

Their product needs to work with Claude and ChatGPT.

Customers are asking for it, a generated MCP server will not pass review, and nobody has time to track a spec that changes twice a year.

How It Works

Teardown. Quote. Sprint. Handover.

Every engagement follows the same shape, so you always know where you are and what it costs.

STEP 01

Free Teardown Call

Thirty minutes. You tell us what you built and what worries you. We tell you what we would fix and in what order. If you do not need us, we say so.

STEP 02

Fixed-Scope Sprint

A written scope and a fixed price, delivered in two to four weeks. Security first, then infrastructure, then monitoring.

STEP 03

Handover or Retainer

You get documentation and a recorded walkthrough. Run it yourself, or keep us on a monthly plan that watches the platform and the bill.

Latest Insight

Featured Article

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MCP & Agents11 min read

Most MCP Servers Die Before Production. Yours Does Not Have To.

Audits show more than half of public MCP servers are dead and fewer than one in five are production-ready. The reasons are consistent: authentication, tool design, and a spec that keeps moving. Here is what production-grade actually requires.

C

Claudia Stan

Read Article

CloudWeld Field Notes

](/blog/mcp-servers-that-survive-production)

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Technology Stack

Tools & Technologies We Use

We pick tools your team can operate after we leave, not the ones that look best in a conference talk.

Vertex AI logo

VA

Vertex AI

Hugging Face logo

HF

Hugging Face

OpenAI logo

O

OpenAI

Anthropic logo

A

Anthropic

PyTorch logo

P

PyTorch

TensorFlow logo

T

TensorFlow

LangChain logo

L

LangChain

FastAPI logo

F

FastAPI

Weights & Biases logo

W&

Weights & Biases

MLflow logo

M

MLflow

dbt logo

d

dbt

BigQuery logo

B

BigQuery

Snowflake logo

S

Snowflake

Spark logo

S

Spark

Evidently AI logo

EA

Evidently AI

Prometheus logo

P

Prometheus

Grafana logo

G

Grafana

Terraform logo

T

Terraform

Kubernetes logo

K

Kubernetes

Docker logo

D

Docker

Team collaboration

Ready When You Are

Tell Us What You Built

Book a free 30-minute teardown call. We reply within one business day.