More value per dollar

Johannes Stiehler
Cover Image for More value per dollar

Products are our core

Since we started working together (our founders met professionally in 2005), we have enjoyed developing products for end users the most.
We've also created company strategies, planned and executed isolated marketing campaigns, designed trade show booths, and raised investor funds on behalf of other companies. But in the end, we always ended up back with products. Mostly in our niches Text AI and search, but sometimes somewhere else entirely. For example, our first assignment after founding NEOMO (then under the name IDEENPLANET) was to develop a membership portal for a discount club.

Since the development of good products costs money, we decided on a threefold strategy:

  1. We develop products on behalf of and in collaboration with customers whose vision we share.
  2. We develop products as a generalization of "one shots" from our consulting practice.
  3. We finance products that are really close to our hearts from current business.

Consulting à la NEOMO

This explains our approach towards consulting services: We do not deliver person hours or isolated building blocks, but we always contribute to a product - sometimes throughout the entire chain from conception to roll-out, sometimes only in a part of it.

We understand the business model of our customers, the interests of their users, the vision behind the product and develop towards this vision. No specification - no matter how detailed - can replace this way of thinking. This is often the source of unpleasant difficulties when working with external development teams: many have strong work ethics, but very few make an effort to deeply understand the task at hand or prioritize the final product over the hours billed.

We frequently advise clients not to develop certain features (yet) – even though we lose order volume as a result - simply because they don't fit into the overall product or their value is disproportionate to the effort involved.

A word about hourly rates

We do not advertise low hourly rates. We are not the “cheapest" - whatever that means. Our goal is different: we deliver the most value to our clients per dollar / euro spent. Our clients don't pay for onboarding new project staff, prospecting, research, or anything like that. They only pay for the value we create.

We use open source components or proprietary software depending on what delivers the most value. Based on our own testing and experience we will usually know this before any implementation, otherwise we define a meaningful "spike" together with our customers.

No matter if open source or pay-as-you-go software, in most cases we also already have best practices and readymade configurations - as an effective jump-start for the chosen technology. 

Secret sauce

Even if it sounds like a cliché: The fact that all this works and leads to our current and surely also future success is mainly due to our team. "T-Shaped skills" have always been a matter of course for us, as has an excellent working atmosphere.

For example, our team includes senior engineers who started as computational linguists 15 years ago, cloud scaling experts who have also built React front-ends, mathematicians with a penchant for search algorithms, data mining fanatics and deep learning understanders, and more.

Every client of ours automatically accesses this talent pool, as we assemble the project team to best match requirements and skills.

To be honest: If, with this team and our enthusiasm, we can really only bill a few hours for "classic consulting" in the end and the whole thing doesn't lead to a product that we like to use ourselves, then the job is not for us.

Johannes Stiehler
CO-Founder NEOMO GmbH
Johannes has spent his entire professional career working on software solutions that process, enrich and surface textual information.

There's more where this came from!

Subscribe to our newsletter

If you want to disconnect from the Twitter madness and LinkedIn bubble but still want our content, we are honoured and we got you covered: Our Newsletter will keep you posted on all that is noteworthy.

Please use the form below to subscribe.

NEOMO is committed to protecting and respecting your privacy and will only use your personal data to manage your account and provide the information you request. In order to provide you with the requested content, we need to store and process your personal data. If you consent to us storing your personal data for this purpose, please check the box below.

Follow us for insights, updates and random rants!

Whenever new content is available or something noteworthy is happening in the industry, we've got you covered.

Follow us on LinkedIn and Twitter to get the news and on YouTube for moving pictures.

Sharing is caring

If you like what we have to contribute, please help us get the word out by activating your own network.

More blog posts


ChatGPT "knows" nothing

Language models are notoriously struggling to recall facts reliably. Unfortunately, they also almost never answer "I don't know". The burden of distinguishing between hallucination and truth is therefore entirely on the user. This effectively means that this user must verify the information from the language model - by simultaneously obtaining the fact they are looking for from another, reliable source. LLMs are therefore more than useless as knowledge repositories.


Rundify - read, understand, verify

Digital technology has overloaded people with information, but technology can also help them to turn this flood into a source of knowledge. Large language models can - if used correctly - be a building block for this. Our "rundify" tool shows what something like this could look like.


ChatGPT and the oil spill

Like with deep learning before, data remains important in the context of large language models. But this time around, since somebody else trained the foundation model, it is impossible to tell what data is really in there. Since lack of data causes hallucinations etc. this ignorance has pretty severe consequences.