// use cases · content generation

Content at volume,
without the leak.

Generate and edit copy, product descriptions, variations and SEO at scale, in 100+ languages, on EU infrastructure. Your briefs never train someone else's model.

book_a_call

// how it works

Brief it once. Generate at scale.

Brand voice, generation and editing from a single OpenAI-compatible endpoint — at volume, and only inside the EU.

step 01

Set the brief & voice

qwen3-embedding

Ground it in your brand voice, guidelines and best-performing content — retrieved from your own material, not guessed from a generic model.

step 02

Generate at volume

deepseek-v4-flash

Copy, product descriptions, variations and SEO at scale — batched and streamed, in 100+ languages. One prompt, as many variants as you need.

step 03

Edit & iterate

qwen3.6

Rewrite, shorten, localize and spin A/B variants — every pass included. Iterate as much as the work needs, with no per-token bill to watch.

// drop-in

Change one line. Keep your tools.

One chat completion, many on-brand variants. Change the base URL and key and your content pipeline runs on private EU models.

read_the_docs

content.py

from openai import OpenAI

client = OpenAI(
    api_key="sk-...",
    base_url="https://api.helmcode.com/v1",  # one line changes
)

# brand voice in, five on-brand variations out — one call
copy = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[
        {"role": "system", "content": "Write in our brand voice." + style_guide},
        {"role": "user", "content": "5 product descriptions for: " + product},
    ],
    n=5,  # variations, no per-token surprise
)

// why helmcode

Volume that doesn't cost you your IP.

Producing at scale means feeding your briefs, brand and client work to a model. With closed APIs, handing that over is the deal.

Your IP stays yours.

Briefs, brand guidelines and client content are never stored, and never train a model — yours, or a competitor's.

Processed in the EU.

Every piece is generated on EU infrastructure — not on US hyperscalers subject to the Cloud Act. GDPR and AI Act native.

SOTA open models.

DeepSeek V4-Flash, Qwen 3.6, Gemma 4 — frontier quality for the 80% of content that doesn't need a premium API.

No caps on variations.

Generate 5 variants or 50; the bill is the same flat rate. Limits are RPM and concurrency per key — never total tokens.

Multilingual by default.

100+ languages out of the box. Localize and transcreate content without a per-language tool or a per-word fee.

Drops into your tools.

OpenAI-compatible chat and streaming. Change the base URL and key; your CMS, editor or content pipeline keeps working.

In production across

Media & agencies
E-commerce & retail
Dev tools
Legaltech
Pharma & biotech
HR & recruiting

In production at

// content faq

Content, answered.

What content, marketing and engineering teams ask before generating at scale.

Are open models good enough vs GPT or Claude for content?

For the ~80% of enterprise content — copy, product descriptions, SEO, variations, localization — open models like DeepSeek and Qwen match premium APIs. Route the specific 20% that needs a frontier model when you need to.

Will my briefs or content train your models?

No. Zero logs — your briefs, brand guidelines and generated content are never stored and never train a model. Your IP, and your clients', stays yours.

Can I enforce brand voice?

Yes. Set voice and rules as a system prompt and ground generation with retrieval over your style guide and best-performing content.

How many variations can I generate?

As many as you need. There are no token caps — limits are RPM and concurrency per key — and you can request multiple variants per call.

Is it multilingual?

Yes, 100+ languages out of the box — localize and transcreate without a separate per-language tool.

Can it run on-premise?

Yes. Run on a dedicated GPU or fully on-premise inside your own datacenter — the same API and code, with content that never leaves your network.

// get started

START BURNING TOKENS

Skip the AI infra work. Deploy your first private inference endpoint today.

Flat rate. EU data. OpenAI API compatible.