Overall Winner: Aidence·45/ 100

Aidence vs Kepler Vision

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

Winner
A
Aidence

🇳🇱 Netherlands · Jeroen Vendrig

Series BAI HealthcareEst. 2016

Valuation

N/A

Total Funding

$20M

45
Awaira Score45/100

1-50 employees

Full Aidence Profile →
K
Kepler Vision

🇳🇱 Netherlands · Harro Stokman

SeedAI HealthcareEst. 2017

Valuation

N/A

Total Funding

N/A

30
Awaira Score30/100

1-50 employees

Full Kepler Vision Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Aidence and Kepler Vision compete directly in the AI Healthcare space, making this a head-to-head matchup within the same market segment. Aidence develops AI radiology software for lung cancer detection, building CE-marked and FDA-cleared deep learning algorithms that analyse CT scan images to identify and characterise pulmonary nodules requiring clinical follow-up. Kepler Vision Technologies develops AI fall detection and activity recognition software for elderly care environments, using computer vision models that process video from ceiling-mounted cameras in care facilities to detect falls, assess resident activity patterns, and alert care staff to incidents requiring immediate response.

Neither company has publicly disclosed a valuation at this time. Aidence has raised $20M in disclosed funding.

Aidence has 1 year more market experience, having been founded in 2016 compared to Kepler Vision's 2017 founding. In terms of growth stage, Aidence is at Series B while Kepler Vision is at Seed — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇳🇱 Netherlands, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, Aidence leads with a score of 45, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricAidenceKepler Vision
💰Valuation
N/A
N/A
📈Total Funding
$20M
N/A
📅Founded
2016
2017WINS
🚀Stage
Series B
Seed
👥Employees
1-50
1-50
🌍Country
Netherlands
Netherlands
🏷️Category
AI Healthcare
AI Healthcare
Awaira Score
45WINS
30

Key Differences

📅

Market experience: Aidence has 1 year more (founded 2016 vs 2017)

🚀

Growth stage: Aidence is at Series B vs Kepler Vision at Seed

⚔️

Direct competitors: Both operate in the AI Healthcare market segment

Awaira Score: Aidence scores 45/100 vs Kepler Vision's 30/100

Which Should You Choose?

Use these signals to make the right call

A

Choose Aidence if…

Top Pick
  • Higher Awaira Score — 45/100 vs 30/100
  • Stronger investor backing — raised $20M
  • More market experience — founded in 2016
  • Aidence develops AI radiology software for lung cancer detection, building CE-marked and FDA-cleared deep learning algorithms that analyse CT scan images to identify and characterise pulmonary nodules requiring clinical follow-up
K

Choose Kepler Vision if…

  • Kepler Vision Technologies develops AI fall detection and activity recognition software for elderly care environments, using computer vision models that process video from ceiling-mounted cameras in care facilities to detect falls, assess resident activity patterns, and alert care staff to incidents requiring immediate response

Users Also Compare

FAQ — Aidence vs Kepler Vision

Is Aidence bigger than Kepler Vision?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Aidence employs 1-50 people, while Kepler Vision has 1-50 employees.
Which company raised more funding — Aidence or Kepler Vision?
Aidence has raised $20M in disclosed funding across 0 known rounds. Kepler Vision's funding history is not publicly available.
Which company has a higher Awaira Score?
Aidence holds the higher Awaira Score at 45/100, compared to Kepler Vision's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.
Who founded Aidence vs Kepler Vision?
Aidence was founded by Jeroen Vendrig in 2016. Kepler Vision was founded by Harro Stokman in 2017. Visit each company's profile on Awaira for a full founder biography.
What does Aidence do vs Kepler Vision?
Aidence: Aidence develops AI radiology software for lung cancer detection, building CE-marked and FDA-cleared deep learning algorithms that analyse CT scan images to identify and characterise pulmonary nodules requiring clinical follow-up. The Amsterdam company tools assist radiologists in national lung cancer screening programmes and in routine clinical CT reading, providing AI-generated nodule measurements, growth tracking, and malignancy risk scores that reduce reader variability and improve early detection rates.\n\nThe company raised approximately $20 million in venture funding and has deployed its Veye Chest algorithm across multiple European radiology networks and hospital systems participating in national lung cancer screening initiatives. Aidence received CE marking for its software as a medical device and has published clinical validation studies demonstrating performance that is non-inferior to specialist radiologist reads on lung nodule detection tasks.\n\nAidence competes in the AI radiology market alongside Annalise AI, Enlitic, Behold.ai, and Lunit, all of which target chest X-ray and CT reading assistance. The lung cancer screening market has expanded significantly as multiple European countries and the United States have implemented or planned national screening programmes for high-risk smokers, creating a growing workflow automation opportunity for AI lung nodule detection tools. The company was acquired by Coreline Soft, a South Korean medical AI company, as part of a broader consolidation in the AI radiology market. Kepler Vision: Kepler Vision Technologies develops AI fall detection and activity recognition software for elderly care environments, using computer vision models that process video from ceiling-mounted cameras in care facilities to detect falls, assess resident activity patterns, and alert care staff to incidents requiring immediate response. The Amsterdam company platform is designed to operate without wearables or pressure sensors, relying entirely on camera-based analysis to provide unobtrusive monitoring.\n\nThe company is early stage with initial funding from Dutch innovation programmes and care sector partners. Kepler Vision has piloted its Night Nurse product in Dutch residential care facilities, where staff shortages create demand for AI monitoring tools that can maintain safety oversight overnight when staffing ratios are lowest. The platform is designed to comply with European privacy regulations governing personal data processing in care environments, using on-device processing to avoid transmitting identifiable video to cloud services.\n\nKepler Vision operates in the AI elder care market alongside CarePredict, SafelyYou, and camera-based monitoring startups targeting the intersection of computer vision and residential care. The European elder care AI market faces distinct regulatory challenges compared to the US, with GDPR-compliant video monitoring in care facilities requiring explicit consent frameworks and data minimisation approaches. The Netherlands position as a leader in healthcare technology innovation and its advanced residential care infrastructure make it a relevant test market for technology that addresses the growing caregiver shortage across European social care systems.
Which company was founded first?
Aidence was founded first in 2016, giving it 1 year of additional market experience. Kepler Vision was founded later in 2017. 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?
Both Aidence and Kepler Vision report similar employee counts of approximately 1-50. Team size is often a proxy for operational scale, though lean AI companies can punch well above their headcount.
Are Aidence and Kepler Vision competitors?
Yes, Aidence and Kepler Vision are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.