WAVECT vs LEFTSHIFT ONE

Wavect or Leftshift One. A GenAI platform you license, or a bespoke product built around any model you choose.

Leftshift One sells MyGPT: a data-secure company GPT with SharePoint and Confluence connectors, EU hosting, and token-based billing, built for mid-sized companies. We build bespoke products around whatever model fits, and you own the stack. If a secure internal GPT off the shelf is the whole need, license the platform. If the product is yours, the comparison shifts.

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“The platform demo was great. Then we listed what we actually needed, and half of it was custom anyway.”

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How they actually differ

Six dimensions where Leftshift One and Wavect actually diverge.

WAVECT DIMENSION ALTERNATIVE

A bespoke product. You own the code, the data flows and the roadmap.

WHAT YOU BUY

A platform licence: MyGPT with connectors, dashboards and multi-tenant management.

Any model: commercial APIs or self-hosted open weights. We are vendor-agnostic.

MODEL CHOICE

The models and capabilities the platform supports.

Your infrastructure, your rules: cloud, on-prem, or fully local self-hosted LLMs, built to your compliance needs.

DATA AND HOSTING

Certified EU data centres, GDPR-compliant, no training on user data, per their published figures.

Weekly outcome fee or fixed-price Werkvertrag. No timesheets.

PRICING MODEL

Token-based billing, sales-gated. No public tiers.

Weeks to a custom product in production.

SPEED TO VALUE

Days to a working company GPT, if the platform fits as-is.

Yours. Features land because you decided they should.

ROADMAP CONTROL

The vendor's, a VC-backed company with its own product strategy.

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The real difference, in practice

Leftshift One has been doing applied AI since 2017, longer than most of the GenAI wave, with 200-plus AI projects claimed and references like SSI Schäfer and Novomatic on the published list. The current flagship is MyGPT: an enterprise GPT with retrieval over your own documents, SharePoint, Confluence and file-server connectors, hosting in certified EU data centres, and a stated no-training-on-your-data policy. For a mid-sized company that wants a secure internal assistant without building anything, that is a clean, fast answer.

The structural question is platform versus product. Licensing MyGPT means the roadmap, the pricing, and the boundaries of what is possible belong to the vendor, a VC-backed company whose priorities are set by its own product strategy. Token-based billing is transparent in mechanics but sales-gated in price. None of this is a criticism; it is what buying any platform means.

We sit on the other side of that line. We build the product around whatever model fits, OpenAI, Anthropic, or a self-hosted open-weight model, and you own the code, the data flows, and the roadmap. That is more expensive than licensing a platform that already fits, and cheaper than bending a platform into something it is not.

If MyGPT as published covers your need, license it. If your list of requirements is half custom anyway, see how we build AI products.

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When each is the better call

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When Wavect is the better call

  • Your requirements are half custom already: workflows, integrations, or interfaces no platform ships.
  • You want model freedom, including open-weight LLMs hosted locally on your own infrastructure, instead of a platform's supported list.
  • The AI assistant is part of a bigger product you are building, not the whole need.
  • Owning the stack and the IP matters: for compliance, for investors, or for exit due diligence.
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When Leftshift One is the better call

  • You want a finished company GPT off the shelf, running in days, and the published feature set covers your need. We build and host local LLM setups too, just not in days.
  • SharePoint, Confluence and file-server retrieval out of the box is most of the job.
  • You are a mid-sized company without a dev team, and licensing beats building on every axis that matters to you.
  • Their EU hosting and no-training policy satisfies your data requirements as published, without a custom build.

If the platform fits as-is, license it and be done. If the product is yours, build it so you own it. We can tell you which in one call, and we will say so if the answer is the platform.

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Relevant Wavect work

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FAQs

Mostly, yes, and buy is often right. A platform that already does the job beats a custom build on speed and entry price. The trap is the platform that almost fits: every workaround is a recurring cost, and the gap never closes because the roadmap is not yours.
We are vendor-agnostic, so if a client already runs MyGPT we can build around it where their published interfaces allow. More often the question is platform or custom, decided once, honestly, based on how much of your need is standard.
Upfront, usually yes: our fixed-price discovery starts at €3,500 and a production build runs weeks of outcome fees, against a licence that starts in days. Over years, the maths can flip: licence costs scale with usage, and custom features on a platform you do not control are workarounds, not assets.
It is public record: the founder-CEO handed over in September 2025 and moved to EY, with co-founders still in the product and engineering leads. We would not over-read it. It is simply part of the vendor-stability picture a platform buyer should look at, alongside funding and roadmap.
Source: leftshiftone.comLast reviewed:
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