The best climate tech stories are often about the unit economics of not doing something. The avoided kilowatt-hour is cheaper than the one you have to generate. The avoided ton of CO2 is cheaper than the one you have to capture. It is a logic of subtraction, not addition.
In the overheated world of AI consulting, Nieve Consulting is making a similar bet. The Málaga-based firm, founded in 2022, is not trying to build the biggest AI model or the most comprehensive platform. Instead, it is betting that for a certain kind of business, the most economical path is to subtract the bloat of generic SaaS tools and add only the custom AI they actually need. It is a consultancy, yes, but one built on the premise that the real waste is in the undifferentiated middle [About Nieve Consulting].
A bet on bespoke subtraction
Nieve’s stated focus is custom AI software, covering generative AI, machine learning, MLOps, IoT, and data integrations [About Nieve Consulting]. The company pitches itself to international businesses seeking tailored solutions and, pointedly, to organizations moving away from what it calls 'bloated SaaS tools' [Nieve Consulting careers]. Its service menu runs from initial AI strategy and proof-of-concept work through to production deployments and ongoing support, targeting sectors like SaaS, e-commerce, maritime, energy, and cybersecurity [Nieve Consulting careers].
The wedge is specificity. In a market crowded with firms promising to sprinkle AI magic on everything, Nieve’s positioning suggests a focus on implementation over inspiration, on the concrete integration over the vague transformation. It is a classic services business model, but one that aims to thrive in the gaps left by both the giant consultancies and the one-size-fits-all software vendors.
The team behind the thesis
The founders bring an unusually complementary, if unconventional, blend of experience to this bet. The pairing reads less like a typical tech co-founder duo and more like a deliberate assembly of disparate perspectives.
- The operator-poet. CEO Mikaela Nyman is described as a serial entrepreneur and former partner and COO of Genero, which the company calls Finland’s first growth-marketing agency [About Nieve Consulting]. Her public profile, however, is dominated by a parallel life as an award-winning novelist and poet. She is a Finnish-New Zealand author whose climate fiction novel SADO was published in 2020, and she served as the Robert Burns Fellow at Otago University in 2024 [Mikaela Nyman - Wikipedia, Unknown] [Mikaela Nyman - Academy of New Zealand Literature, Unknown]. This is not a background one typically finds on an AI consultancy’s leadership page.
- The builder-exiter. CTO Daniel Arroyo provides the deep technical counterweight. With over 20 years in technology across mobile, IoT, cloud, and generative AI, his most relevant credential is as a founder of AstroPrint, a company that built software for desktop 3D printing and raised over $2 million before being acquired by BCN3D [Daniel Arroyo LinkedIn] [3dpbm, Unknown]. He has lived through the cycle of startup fundraising, struggle, and exit,a story he recounted in a Fusion Ecosystem profile that framed Nieve as his next chapter [Fusion Ecosystem, March 2024].
| Role | Name | Key Background |
|---|---|---|
| CEO & Co-Founder | Mikaela Nyman | Former COO/Partner at Genero; award-winning novelist and poet. |
| CTO & Co-Founder | Daniel Arroyo | Founder of AstroPrint (acquired by BCN3D); 20+ years in cloud, IoT, GenAI. |
They established the company in Málaga, Spain, betting the city could become a major European tech hub,a geographic positioning that blends Spanish roots with a Nordic operational sensibility [About Nieve Consulting].
Traction in a quiet mode
Nieve operates in a pre-seed, pre-institutional funding mode. There are no verifiable public announcements of venture rounds, which suggests the company is likely bootstrapped or funded through the founders’ networks and early revenue [Fusion Ecosystem, March 2024]. Public directory information estimates the company’s revenue at $855,550 and its valuation at $2.8 million, though these figures are unattributed and should be treated with caution [Prospeo, Unknown]. The company’s LinkedIn page lists 1-10 employees [Nieve Consulting LinkedIn].
Traction, in the classic startup sense of marquee customer logos, is not publicly visible. The company identifies target industries but has not published named case studies or partnership announcements. This is common for early-stage consultancies working under NDAs, but it leaves the scale and scope of its projects an open question. The company is hiring, with open roles for a Machine Learning Engineer and a Full Stack Developer focused on generative AI projects as of October 2024, indicating active project work [Nieve Consulting careers].
Where the wheels could come off
The risks for Nieve are the classic ones for a high-end services business, amplified by the frothy AI market.
- Scale versus specificity. The very custom, bespoke nature of its work makes scaling revenue linearly with headcount difficult. Each new project requires senior talent, and there is a finite supply of Daniel Arroyos.
- The incumbent wall. It is competing for clients not just with other boutiques but with the massive technology practices of firms like Prophet and the global advertising conglomerates like Dentsu and Interpublic, which can throw armies of consultants at a problem and offer bundled services.
- Product transition. Many consultancies dream of productizing their expertise into a scalable SaaS offering. Nieve’s careers page mentions building 'scalable, AI-powered systems' for clients, but there is no evidence of a packaged product in development [Nieve Consulting careers]. The consultancy-to-product leap is a graveyard of good intentions.
The company’s most plausible answer is to stay relentlessly focused on its wedge: complex, cross-domain integrations where big consultancies are too slow and generic SaaS tools are too shallow. Its bet is that in the messy middle of maritime logistics or industrial energy data, a small team of experts building exactly what is needed will beat a large team deploying what is available.
The next twelve months
For a company like Nieve, the coming year is less about a feature roadmap and more about commercial proof points. The milestones to watch are concrete and client-shaped.
First, can it land and publicly announce a flagship project in one of its named sectors, like energy or maritime? A single detailed case study would do more to validate its model than any funding announcement. Second, will it seek institutional funding to accelerate hiring and sales, or choose to grow organically through revenue? The open roles suggest it is investing in capacity now. Finally, the team itself is the product; watching for key senior hires beyond the founders will signal both growth and the ability to replicate its core expertise.
On paper, the energy required to keep a small consultancy like Nieve running is not trivial. If the estimated $855,550 in revenue supports a team of, say, eight people with competitive tech salaries in Europe, the margin for error is slim before they need more capital or more billable hours [Prospeo, Unknown]. The math only works if their average project value is high and their sales cycle is efficient.
For Nieve to succeed, it must ultimately beat not the other AI startups, but the incumbent it is designed to circumvent: the traditional systems integrator. It must prove that a poet’s focus on narrative and a printer’s focus on precise output can build something more valuable than a generic consultant’s deck. That is a custom job, and the clock is ticking.
Sources
- [About Nieve Consulting] About Nieve Consulting | https://www.nieveconsulting.com/about
- [Nieve Consulting careers] Nieve Consulting Careers | https://www.nieveconsulting.com/careers
- [Nieve Consulting LinkedIn] Nieve Consulting LinkedIn | https://www.linkedin.com/company/nieve-consulting-services
- [Fusion Ecosystem, March 2024] Co-founding stories part 8 - Daniel Arroyo | https://www.fusion-ecosystem.com/co-founding-stories-part-8-daniel-arroyo/
- [Daniel Arroyo LinkedIn] Daniel Arroyo | LinkedIn | http://www.linkedin.com/in/danielarroyo
- [Prospeo, Unknown] Nieve Consulting Services Revenue, Funding & Valuation | https://prospeo.io/c/nieve-consulting-services-revenue
- [Mikaela Nyman - Wikipedia, Unknown] Mikaela Nyman - Wikipedia | https://en.wikipedia.org/wiki/Mikaela_Nyman
- [Mikaela Nyman - Academy of New Zealand Literature, Unknown] Mikaela Nyman - Academy of New Zealand Literature | https://www.anzliterature.com/member/mikaela-nyman/
- [3dpbm, Unknown] AstroPrint acquisition article | https://www.3dpbm.com/