On-premise infrastructure
We design, deploy and operate the full AI infrastructure inside the client datacenter, turn-key, for when the data cannot leave the building. You sell the project, we run the stack.
// partner program
Build AI services and tools without worrying about the infrastructure.
We serve open AI models on our own infrastructure. Running that inference at scale is our job: private, zero logs and inside the EU. You build on top of an API that behaves exactly like the one your team already uses.
// does Helmcode make sense for you?
The partners we fit
best with.
We like building long-term relationships where both sides come out ahead. If you recognise yourself in one of these, the conversation is worth having.
01
Integrator or AI consultancy
Win deals in regulated sectors you lose today on price or on sovereignty, with an inference layer that is cheaper and European. You invoice the service, we invoice the inference.
02ISV or vertical SaaS
Private inference under your own brand, without building or operating GPUs. Your product up front, our infrastructure underneath, invisible to your customer.
03Compliance consultancy or law firm
When a client has to comply with the AI Act, DORA, NIS2 or ENS, you have a concrete solution to recommend that actually solves the problem.
04Sovereign cloud or EU infrastructure
An AI layer that runs on your infrastructure and reinforces your own sovereignty pitch.
05Community or dev tool
A fast open-source backend for your users, with no caps and OpenAI compatible. No commercial friction in the middle.
06VC or accelerator
A real perk for your portfolio: AI unit economics under control from day one.
// how we work together
We become your AI inference provider,
or your clients.
No rigid tier program. You pick the figure that matches what you bring, and it is written into a simple agreement.
Figure How it works Who it is for
Referral
How it works You bring the opportunity, Helmcode invoices and delivers. Commission on the first year of billing.
Who it is for Compliance and GRC consultancies, law firms, VCs and investor networks.
Co-sell with deal registration
How it works You invoice and deliver the service, we invoice the inference directly to the client. The registered deal is protected from the direct channel.
Who it is for Integrators and AI consultancies.
OEM white-label
How it works Helmcode runs invisible underneath your product. Volume pricing or revenue share, agreement tailored to the case.
Who it is for ISVs and vertical SaaS. The highest leverage channel.
Technical alliance
How it works Co-marketing and joint architecture: inference running on sovereign infrastructure.
Who it is for Sovereign clouds and EU infrastructure.
Default provider
How it works Integration and recommendation inside open tools, with no commercial friction.
Who it is for Communities and dev tools.
Managed reseller
How it works You offer managed inference to your install base, with margin on the managed service.
Who it is for MSPs and MSSPs with SMB or regulated clients.
// what else we offer
On-premise infrastructure
and fine-tuning.
When a project needs more than an endpoint, we go in with you. We deploy AI infrastructure inside the client datacenter and we fine-tune open models for their domain. Two services you can sell as complete projects with a technical partner behind you.
Specialised models we build
We fine-tune and optimise open models for the specific use case, so what you deliver answers like the client domain demands instead of like a generic assistant.
The ladder runs the whole way: from a shared endpoint your client integrates in an afternoon, to dedicated GPU, to the full stack deployed and operated inside their own datacenter, air-gapped if the sector demands it.
// drop-in
One line
and your client is running on Helmcode.
The API is 100% OpenAI compatible, so any SDK or tool your team already uses keeps working untouched. That is the whole technical migration, and the reason your training is measured in hours.
read_the_docsfrom openai import OpenAI client = OpenAI( api_key="sk-...", base_url="https://api.helmcode.com/v1", # the only line that changes ) # the rest of your client code stays the same answer = client.chat.completions.create( model="deepseek-v4-flash", messages=messages, )
// the moment
Open-source and sovereignty,
the focus of every company.
€21.6B
Sovereign cloud spend in Europe by 2027, up from €6.4B in 2025.
Gartner 90%
Of European data sits on infrastructure outside EU control.
2026
The AI Act applies concrete obligations. DORA and NIS2 are already in force.
- 01
The AI Act applies concrete obligations from 2026, above all in health, finance, HR and justice.
- 02
In the Spanish public sector, the ENS requires proving compliance according to the criticality level of each system.
- 03
More and more European companies require the data to stay in the EU as a condition to buy.
These requirements come up in conversations you are already having with your clients. We are the technical answer.
// the golden rule
Your business is not ours.
Inference always goes at direct price, with no markup. You earn with everything you build on top: integration, RAG, compliance, voice, model specialisation, maintenance.
The reason is simple. The cost advantage is exactly what you are going to sell your client. If we stack margin on the tokens, that advantage disappears and we both lose the deal. We prefer the price to be unbeatable and your business to sit in the service, where nobody can copy you.
book_a_fit_call// enablement
How we help you sell Helmcode.
Savings calculator
Ready to put in front of the client in the first meeting, with the numbers against OpenAI, Claude and Gemini for their real volume.
Compliance battlecard
The AI Act, DORA, NIS2 and ENS turned into objections and answers, sorted by vertical, so nobody freezes in the meeting.
Demo in an afternoon
A working demo your team assembles in one sitting and can show as their own from day one.
Reference architecture
Model router, RAG, embeddings and voice already laid out, to start projects without going from zero.
Technical presales
Our engineers next to you on the first deals: architecture, benchmark with the client case and quality A/B.
OpenAI compatible API
The integration is drop-in, so the technical training is measured in hours and your team keeps its own tooling.
What the training actually looks like
Deliberately light and practical. The goal is your team selling in the first week.
- 2 h
Commercial session
Remote. The wedges, pricing, the savings calculator and objection role-play with real cases from your vertical.
- half a day
Hands-on technical workshop
Your team builds the full demo against the API with a Helmcode engineer alongside: base_url change, model router, example RAG.
- on demand
Everything recorded
New people on your side get up to speed without repeating sessions.
- every 2 weeks
Open office hours
Technical and commercial questions, plus a refresher when there is product news.
Managed reseller and OEM add a module on running the service and first-line support, with shadowing on the first real incidents during the first 30 days.
You are activated when your team builds the demo without help and defends both pitches, savings and compliance, back to us. That is the whole certification the program asks for.
// getting started
Starting is simple.
- 01
Fit call
We confirm your profile and the channel figure that fits you.
- 02
Simple agreement
Referral, co-sell or OEM. No tier bureaucracy.
- 03
Enablement
Kit, demo and reference architecture.
- 04
First joint deal
With our presales alongside.
- 05
Case study
We publish it together.
// partner faq
Questions, answered.
What partners ask before the first call.
Do you compete with your own partners?
No, and we have it in writing. Integration projects and deals in regulated sectors always go with a partner. Co-sell registered deals stay protected from the direct team for their whole sales cycle. Self-serve exists for developers and startups who buy on their own through the web, a profile that never goes through the channel.
Can I resell the tokens with a markup?
No. Inference goes at direct price. Your margin is in the services, and thanks to that the price you show your client is unbeatable.
Do I need to get certified or go through a tier program?
No. One call, a simple agreement and off we go. Tiers will come if they are ever needed.
Which models do you serve?
SOTA open-source models: LLMs, embeddings, TTS and STT, on dedicated GPU and with an SLA according to plan.
// talk to us
Let's start working together.
If you made it this far, you probably already know how we can work together. Tell us and we will confirm it in a 30 minute call.
book_a_fit_callFramework document. The specific commercial terms are set in writing in each partner agreement.
// fit call
Message received.
We will get back to you to book the fit call.