Overall Winner: Peltarion·40/ 100

Peltarion vs Scribble Data

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

Winner
P
Peltarion

🇸🇪 Sweden · Niklas Borg

AcquiredML PlatformEst. 2004

Valuation

N/A

Total Funding

$30M

40
Awaira Score40/100

1-50 employees

Full Peltarion Profile →
S
Scribble Data

🇮🇳 India · Arun Iyengar

SeedML PlatformEst. 2019

Valuation

N/A

Total Funding

N/A

35
Awaira Score35/100

10-50 employees

Full Scribble Data Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Peltarion and Scribble Data 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. Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems.

Neither company has publicly disclosed a valuation at this time. Peltarion has raised $30M in disclosed funding.

Peltarion has 15 years more market experience, having been founded in 2004 compared to Scribble Data's 2019 founding. In terms of growth stage, Peltarion is at Acquired while Scribble Data is at Seed — a meaningful difference for investors evaluating risk and upside.

Peltarion operates out of 🇸🇪 Sweden while Scribble Data is based in 🇮🇳 India, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, both companies are closely matched — Peltarion scores 40 and Scribble Data scores 35.

Metrics Comparison

MetricPeltarionScribble Data
💰Valuation
N/A
N/A
📈Total Funding
$30M
N/A
📅Founded
2004
2019WINS
🚀Stage
Acquired
Seed
👥Employees
1-50
10-50
🌍Country
Sweden
India
🏷️Category
ML Platform
ML Platform
Awaira Score
40WINS
35

Key Differences

📅

Market experience: Peltarion has 15 years more (founded 2004 vs 2019)

🚀

Growth stage: Peltarion is at Acquired vs Scribble Data at Seed

👥

Team size: Peltarion has 1-50 employees vs Scribble Data's 10-50

🌍

Market base: 🇸🇪 Peltarion (Sweden) vs 🇮🇳 Scribble Data (India)

⚔️

Direct competitors: Both operate in the ML Platform market segment

Awaira Score: Peltarion scores 40/100 vs Scribble Data's 35/100

Which Should You Choose?

Use these signals to make the right call

P

Choose Peltarion if…

Top Pick
  • Higher Awaira Score — 40/100 vs 35/100
  • Stronger investor backing — raised $30M
  • 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
S

Choose Scribble Data if…

  • India-based for regional compliance or proximity
  • Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems

Users Also Compare

FAQ — Peltarion vs Scribble Data

Is Peltarion bigger than Scribble Data?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Peltarion employs 1-50 people, while Scribble Data has 10-50 employees.
Which company raised more funding — Peltarion or Scribble Data?
Peltarion has raised $30M in disclosed funding across 0 known rounds. Scribble Data's funding history is not publicly available.
Which company has a higher Awaira Score?
Peltarion holds the higher Awaira Score at 40/100, compared to Scribble Data's 35/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.
Who founded Peltarion vs Scribble Data?
Peltarion was founded by Niklas Borg in 2004. Scribble Data was founded by Arun Iyengar in 2019. Visit each company's profile on Awaira for a full founder biography.
What does Peltarion do vs Scribble Data?
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. Scribble Data: Scribble Data builds a feature store and ML data pipeline platform that enables data science teams to define, compute, store, and serve machine learning features in a unified platform, addressing the significant engineering overhead of building and maintaining feature infrastructure for production ML systems. The platform reduces the time data teams spend on data wrangling and feature engineering by providing reusable feature definitions and automated pipeline orchestration.\n\nThe company is in early Seed stage with limited disclosed funding and targets data science teams at financial services companies, digital consumer businesses, and enterprise analytics organizations that run large-scale ML operations. Scribble Data positions its platform as infrastructure that shortens the path from model ideation to production deployment.\n\nFeature stores have emerged as a recognized production ML infrastructure category, with vendors including Tecton, Feast, and Hopsworks competing for enterprise adoption. Scribble Data's India-based team and pricing model target a segment of the market that cannot justify the cost of US-headquartered enterprise ML platform vendors, while still requiring production-grade feature management capabilities.
Which company was founded first?
Peltarion was founded first in 2004, giving it 15 years of additional market experience. Scribble Data was founded later in 2019. 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 Scribble Data has approximately 10-50. 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 Scribble Data competitors?
Yes, Peltarion and Scribble Data 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.