Question 1

What does Mechane Forge do?

Accepted Answer

Mechane Forge is an engineering studio that builds software in any language or stack: workflow automation and integrations (n8n, Zapier, Make, HubSpot, GoHighLevel), AI systems (LLM apps, RAG, agents, voice agents, speech-to-text and text-to-speech, OCR, fine-tuning, computer vision), and web, mobile, desktop and backend software.

Question 2

Which programming languages and frameworks do you use?

Accepted Answer

Python, TypeScript, JavaScript, Rust, C++, C#, Go, Java, Kotlin, Swift and Dart, with frameworks such as React, Next.js, Vite, Vue, Node.js, Django, FastAPI, Flutter, React Native, .NET, Qt, Electron and Tauri. We choose by the problem and your team.

Question 3

Do you build mobile apps?

Accepted Answer

Yes. We build native iOS apps (Swift, SwiftUI), native Android apps (Kotlin, Jetpack Compose) and cross-platform apps with Flutter or React Native, including App Store and Google Play release.

Question 4

Can you build voice agents and use speech-to-text and text-to-speech?

Accepted Answer

Yes. We build inbound and outbound phone agents, in-app voice assistants and call transcription, using speech-to-text, a language model and text-to-speech with low latency and human hand-off.

Question 5

Do you do OCR and document processing?

Accepted Answer

Yes. We extract data from invoices, forms, IDs and contracts using OCR and language models, validate it, and send it to your systems.

Question 6

Can you fine-tune models or build RAG systems?

Accepted Answer

Yes. We build retrieval-augmented generation systems for answers from your documents, and fine-tune open or hosted models when you need a consistent style or narrow skill, with evaluation to prove the improvement.

Question 7

Do you integrate with HubSpot, GoHighLevel, n8n and Zapier?

Accepted Answer

Yes. We build and automate in HubSpot, GoHighLevel, Salesforce and Zoho, and use n8n, Zapier and Make, or custom APIs when volume or logic demands it.

Question 8

How long does a typical project take?

Accepted Answer

Small automations can be live in one to two weeks. Larger systems such as a custom dashboard or an LLM assistant usually take four to eight weeks. You get a timeline in writing before we start.

Question 9

How does pricing work?

Accepted Answer

Projects are fixed scope and fixed price, agreed after a short discovery, so there are no open-ended invoices. Ongoing support is available as a retainer.

Question 10

Who owns the code and the data?

Accepted Answer

You do. Code, configuration and documentation are handed over, and your data stays in your own accounts. We do not use client data to train models.

Question 11

Which AI models do you use?

Accepted Answer

Whichever fits the job and your privacy needs: hosted models from the major providers, or open-source models running in your own environment when data cannot leave it.

Question 12

How do you stop an AI assistant making things up?

Accepted Answer

Answers are grounded in your documents with citations, tested against a set of real questions, and routed to a person when confidence is low.

Question 13

Can you work with the tools we already use?

Accepted Answer

Usually yes. If a tool has an API, webhooks or a reliable export, we can connect to it. We will tell you early if something is a poor fit.

Question 14

What happens when an automation fails?

Accepted Answer

Every workflow has retries, logging and clear failure alerts. Failures land in a queue a person can review rather than disappearing silently.

Question 15

What happens after launch?

Accepted Answer

We document everything and train your team. If you want us to stay on, a retainer covers monitoring, fixes and improvements. If not, you are not locked in.

Question 16

Do you work with international clients?

Accepted Answer

Yes. We work fully remotely with teams and companies worldwide, with overlap hours agreed up front.

Question 17

How do we get started?

Accepted Answer

Send us a short note through the contact page. We will reply within one working day to arrange a call.

Questions, answered.

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