Overall Winner: Merantix·50/ 100

Peltarion vs Merantix

In-depth comparison — valuation, funding, investors, founders & more

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Peltarion

🇸🇪 Sweden · Niklas Borg

AcquiredML PlatformEst. 2004

Valuation

N/A

Total Funding

$30M

40
Awaira Score40/100

1-50 employees

Full Peltarion Profile →
Winner
M
Merantix

🇩🇪 Germany · Adrian Locher

Series BML PlatformEst. 2016

Valuation

N/A

Total Funding

$30M

50
Awaira Score50/100

100-500 employees

Full Merantix Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Peltarion and Merantix compete directly in the ML Platform space, making this a head-to-head matchup within the same market segment. Peltarion built a deep learning development platform that provided a visual, no-code interface for building and deploying neural network models, enabling data scientists and engineers to construct complex ML architectures through a drag-and-drop graph editor and deploy models via API without writing training code from scratch. Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base.

Neither company has publicly disclosed a valuation at this time. On the funding side, Merantix has raised $30M in total — N/A more than Peltarion's $30M.

Peltarion has 12 years more market experience, having been founded in 2004 compared to Merantix's 2016 founding. In terms of growth stage, Peltarion is at Acquired while Merantix is at Series B — a meaningful difference for investors evaluating risk and upside.

Peltarion operates out of 🇸🇪 Sweden while Merantix is based in 🇩🇪 Germany, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Merantix leads with a score of 50, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricPeltarionMerantix
💰Valuation
N/A
N/A
📈Total Funding
$30M
$30M
📅Founded
2004
2016WINS
🚀Stage
Acquired
Series B
👥Employees
1-50
100-500
🌍Country
Sweden
Germany
🏷️Category
ML Platform
ML Platform
Awaira Score
40
50WINS

Key Differences

📅

Market experience: Peltarion has 12 years more (founded 2004 vs 2016)

🚀

Growth stage: Peltarion is at Acquired vs Merantix at Series B

👥

Team size: Peltarion has 1-50 employees vs Merantix's 100-500

🌍

Market base: 🇸🇪 Peltarion (Sweden) vs 🇩🇪 Merantix (Germany)

⚔️

Direct competitors: Both operate in the ML Platform market segment

Awaira Score: Merantix scores 50/100 vs Peltarion's 40/100

Which Should You Choose?

Use these signals to make the right call

P

Choose Peltarion if…

  • More market experience — founded in 2004
  • Sweden-based for regional compliance or proximity
  • Peltarion built a deep learning development platform that provided a visual, no-code interface for building and deploying neural network models, enabling data scientists and engineers to construct complex ML architectures through a drag-and-drop graph editor and deploy models via API without writing training code from scratch
M

Choose Merantix if…

Top Pick
  • Higher Awaira Score — 50/100 vs 40/100
  • Germany-based for regional compliance or proximity
  • Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base

Users Also Compare

FAQ — Peltarion vs Merantix

Is Peltarion bigger than Merantix?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Peltarion employs 1-50 people, while Merantix has 100-500 employees.
Which company raised more funding — Peltarion or Merantix?
Merantix has raised more in total funding at $30M, compared to Peltarion's $30M — a gap of N/A.
Which company has a higher Awaira Score?
Merantix holds the higher Awaira Score at 50/100, compared to Peltarion's 40/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 10-point gap that reflects meaningful differences in scale or traction.
Who founded Peltarion vs Merantix?
Peltarion was founded by Niklas Borg in 2004. Merantix was founded by Adrian Locher in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Peltarion do vs Merantix?
Peltarion: Peltarion built a deep learning development platform that provided a visual, no-code interface for building and deploying neural network models, enabling data scientists and engineers to construct complex ML architectures through a drag-and-drop graph editor and deploy models via API without writing training code from scratch. The Stockholm company focused on making deep learning accessible to teams without specialist ML engineering expertise.\n\nThe company raised approximately $30 million in venture funding before being acquired by Palantir Technologies in 2021. The acquisition gave Palantir a deep learning platform capability to integrate into its Foundry and Apollo products, supplementing Palantir own data engineering and AI tools with visual model development workflows from the Peltarion team. Prior to acquisition, Peltarion had built a customer base among European enterprises and research institutions seeking to deploy custom neural networks without building internal ML engineering teams.\n\nPeltarion competed in the visual AI development market alongside obvious.ai, Fritz AI, and commercial platforms including Google Cloud AutoML. The acquisition by Palantir reflected a broader trend of large enterprise data companies acquiring specialist ML tooling startups to enhance their platform offerings. The Peltarion team integration into Palantir continued the company focus on making AI development workflows more accessible, but within the context of Palantir existing enterprise relationships rather than as an independent product. Merantix: Merantix operates as an AI venture studio and holding company, building and investing in applied AI businesses across healthcare, mobility, and enterprise verticals from its Berlin base. The company model combines internal company building through its Merantix AI Campus with minority stakes in portfolio AI companies, acting as both an operator and an investor in the Berlin AI ecosystem.\n\nThe company raised approximately $30 million in venture funding and has built multiple AI ventures including Vara, an AI mammography screening tool, and Merantix Momentum, an enterprise machine learning platform for industrial and logistics applications. Merantix operates the AI Campus Berlin, a physical hub for AI researchers and companies that has become one of Germany most active technology community spaces, hosting events and providing shared infrastructure for AI development teams.\n\nMerantix occupies a distinctive position in the German AI ecosystem as one of the few organisations combining venture studio operations with a physical AI campus model. The company competes with AI labs and applied AI consultancies for talent and clients while differentiating through equity-aligned co-building arrangements that align its interests with portfolio company success. Germany position as Europe largest economy and its strength in industrial and automotive sectors create a substantial home market for AI applications in manufacturing, logistics, and healthcare, sectors that Merantix portfolio companies target directly.
Which company was founded first?
Peltarion was founded first in 2004, giving it 12 years of additional market experience. Merantix was founded later in 2016. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
Peltarion has approximately 1-50 employees, while Merantix has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Peltarion and Merantix competitors?
Yes, Peltarion and Merantix are direct competitors — both operate in the ML Platform space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.