See the future better with Computer Vision

Enhance your solution with visual perception. Identify, track and process images, video and motion data.
Let's work together!



Unravel the hidden stories within images and video

Computer vision algorithms enable our clients to analyze medical images, detect anomalies, track movements, and extract valuable insights from image and video data.

These solutions enhance diagnostic accuracy, streamline healthcare processes, and revolutionize patient care in digital health and sports tech.

Leverage Computer Vision to see beyond the industry status quo

Use CV for seamless movement tracking, optimizing resources and processes effortlessly.

Object classification: Categorize in a blink of an eye

Elevate decision-making speed by categorizing objects at a glance, mimicking human intuition for accelerated and efficient actions.

Object identification: Spot the unique

Harness granular recognition to differentiate specific objects from a crowd, refining your analysis for targeted actions and personalized experiences.

Object tracking: Never lose the sight

Enhance operations by seamlessly tracking moving objects, and providing real-time data for optimal resource allocation and process optimization.

Why Computer Vision?

We apply Computer Vision in multiple different scenarios to revolutionize the industry. Our experts will help you on your path from planning to implementation.

Spot the condition earlier, diagnose better, and lower costs

Revolutionize healthcare by enabling early disease detection through medical imaging analysis, facilitating remote patient monitoring, and enhancing surgical procedures for better patient outcomes.

Boost daily well-being with personalized feedback

From posture correction to stress analysis, computer vision helps you enhance personal well-being through data-driven observations and tailored recommendations.

Digital Therapeutics Monitor and diagnose with precision

Use precise diagnostics, remote patient monitoring, and real-time data analysis. Allow devices to interpret visual information, leading to accurate health assessments and proactive interventions.

Sports Tech
Analyse performance
and optimise results

Empower trainers and athletes to fine-tune strategies and elevate athletic achievements by tracking athletes' movements and interactions.

Read what our clients have to say

"Punktum's commitment to user experience and service design has truly elevated our offerings, and their support has been invaluable."

Damian Derebecki

PICTEC Foundation

"Punktum is not merely a reliable partner that builds MVPs to full satisfaction, but also challenges you with their expertise along the way, which improves the result dramatically."

Jens Brorsen

The Daily Ledger GmbH

"The punktum team was proactive and presented creative approaches to tackle our business challenges."

Markus Hahn


How to deliver a Computer Vision project?

Discovery & Planning: We advise initiating the project with an in-depth discovery session to align the technical requirements with your startup's business objectives. The reason for this meticulous planning is to ensure everyone is on the same page and to mitigate the risks of scope creep.

The benefit is a laser-focused, efficient project directly addressing your startup's needs and challenges.

Data Collection & Annotation: The next vital step is to gather well-annotated high-quality data, such as medical images or athlete performance videos. This step is crucial because the model's accuracy and reliability hinge on the quality of this data. The payoff is a robust model that performs exceptionally well in real-world applications. If data is missing, we are happy to assist in creating or developing it.

Model Development & Testing: Building and training the computer vision model is the next step. It includes going through multiple iterations to fine-tune its performance. The rationale behind multiple cycles is to optimize the model for your specific use-case, rather than settling for a generic solution. The benefit is a tailor-made model that solves your startup's unique challenges.

Deployment & Scaling: Once satisfied with the model's performance, we will integrate it with existing systems or launch it as a standalone product. We ensure that the solution is not just functional but also scalable and maintainable. The resulting benefit is a sustainable, long-term solution that positions your venture for future growth and scalability.

By adhering to these best practices, we ensure that your startup develops a computer vision solution that is technically sound and aligned with your business objectives.

Computer Vision revolutionizes Healthcare

For health-focused startups, Computer Vision is a game-changer. It's more than tech; it's about better medical insights. Imagine sharper medical images or monitoring patients from miles away. Thanks to Computer Vision, the future of healthcare is smarter and more connected. Key breakthroughs include:

Diagnostic Imaging: Automating the analysis of X-rays, MRIs, and CT scans to speed up diagnosis and reduce human error.

Remote Monitoring: Using facial recognition and posture analysis to monitor patient vitals and behavior in real time.

Surgical Assistance: Providing real-time image analysis during surgeries for better precision and outcomes.

Telemedicine: Enhancing virtual consultations with automated symptom recognition.

Medication Verification: Ensure the right medication is administered to the right patient.

Wellness gets a tech upgrade with Computer Vision

For wellness startups, Computer Vision is unlocking new potentials. Think of wearables that correct your posture or mirrors that guide your yoga flow. It's about personalized health advice and comfort, all powered by a tech trend that's reimagining wellness. Key areas of innovation are:

Nutrition Tracking: Scanning and analyzing food items for nutritional content.

Mental Health Monitoring: Using facial and gesture analysis to detect signs of stress or depression.

Sleep Quality Assessment: Monitoring sleep patterns and body movements for a comprehensive sleep analysis.

Skin Health: Analyzing skin conditions through high-resolution imaging.

Fitness Posture Correction: Real-time feedback on exercise postures to prevent injuries.

Computer Vision: breaks new grounds in Sports Tech

In the sports arena, Computer Vision will soon be a new standard. It's breaking down player moves, offering feedback in real-time, and reducing injury chances. Whether it's refining training or enhancing game strategies, it's data-driven excellence at its best. For sports startups, this means smarter analytics and insights that thrill both players and fans.

We're excited to see breakthroughs in:

Performance Analysis: Evaluating athlete movements to optimize technique and performance.

Injury Prevention: Detecting fatigue levels and risky movements to prevent injuries.

Game Strategy: Analyzing opponent movements and strategies for competitive advantage.

Fan Engagement: Using facial recognition for personalized fan experiences.

Equipment Monitoring: Ensure the integrity and optimal usage of sports equipment.

How to navigate the common challenges in Computer Vision projects?

Embarking on a computer vision project can be tricky. Our experts have illuminated several challenges that we see often emerging for startup founders:

Optimizing Computation

Challenge: How to run computation-heavy algorithms without the need for massive tech resources?
Risk: Excessive costs and system overloads can stall your project.

Your Move: Invest in efficient optimization techniques and tools. Prioritize algorithms that are scalable and adaptable to your available resources. Do not scale prematurely.

Object Occlusion

Challenge: Building 3D scenes from images gets tricky when objects are partially hidden.
Risk: inaccurate data interpretation can lead to flawed AI decisions.

Your Move: Implement advanced object recognition techniques and regularly train your models with diverse datasets, including obscured objects.

Dynamic Lighting

Challenge: Computer vision can get thrown off by varying light conditions.
Risk: misidentification of objects, compromised AI model accuracy

Your Move: Integrate adaptive lighting algorithms and invest in sensors that can function effectively across different lighting conditions. Make sure your training data set includes different lighting variants.

These challenges underscore the dynamic and ever-evolving nature of computer vision. As technology evolves, these obstacles become the crucible for innovation, driving us to refine algorithms, enhance computational efficiency, and cultivate new perspectives.

These obstacles are familiar to us and we have solved them many times in practice. We will help your project avoid them by using the right technological solutions.

Our team has unique expertise in deep-tech R&D and startups

We have helped dozens of digital health innovators to build the right product and then build it the right way.

Early-stage startup acceleration experience

We have funded startups ourselves and run four different startup accelerators.

We know how to solve the challenges an early-stage startup founder faces in finding product-market fit and building an MVP.

Deep-tech R&D engineering expertise

At your disposal, a team of 120+ engineers with PhDs in Machine Learning and Data Science have extensive R&D experience in:

  • Artificial Intelligence
  • Computer Vision
  • Embedded Systems and wearables
  • Signal Processing

Regulatory affairs and MDR compliance

Our digital health experts are happy to support you with a validated design and development process compliant with:

  • ISO 13485 (Medical Devices)
  • ISO 14971 (Risk Management)
  • IEC 62304 (Software Dev Process)
  • IEC 62366 (Usability)
  • Medical Device Security (TIR57)

Punktum is a member of the DAC.digital Group

Punktum’s digital health product and UX consulting expertise is empowered with DAC.digital‘s deep-tech delivery capabilities of 120+ engineers and R&D experts working in-house. DAC.digital is headquartered in Gdańsk, Poland and we share a years-long successful collaboration on projects in Germany, EU and beyond.

All of our team members are working from within the EU and in the CET (Berlin/Warsaw) time zone.

Meet our Computer Vision experts

Marek Tatara, PhD.

Chief Science Officer

10 years of experience in R&D of cutting-edge technologies.

Holds a PhD in automatic control & robotics and leads a team of 20 Deep Tech researchers. Assistant Professor at Gdańsk University of Technology

Michał Ostyk

Computer Vision Engineer

Computer Vision Argitech and Healthtech expert

Computer Vision Engineer experienced in diverse fields including agriculture, fast food, sports analytics, and healthcare. Specialises in MVP development.

See what else we can do for you

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