Stena Sessan is an investment company that focuses on businesses with the potential to develop and grow. The company's investment strategy is built on flexibility and a long-term investment horizon. It invests in strong businesses with great potential, where, through an active co-ownership, they help to develop businesses that can address the needs and challenges that the future holds. ne of Stena Sessan’s most significant investments was a 21 percent ownership stake in Swedish pharmaceutical company, Meda, which was sold to US pharmaceutical company Mylan in August 2016 through a public takeover bid. At the time of the sale, Stena Sessan had been one of the company’s main owners for 18 years, and the deal was the second-largest sale of a company listed on the Stockholm Stock Exchange to date. In recent years, Stena Sessan has invested in Scandic Hotels, the largest hotel operator in the Nordic region. Stena Sessan is the largest shareholder in the company, with a 20% ownership stake. Stena Sessan was founded in 1981.

Stena Sessan

Neudi & Co is a family-owned investment company in the fourth generation of the Hobohm-Hielte family.

Neudi & Co

Metaplanet Holdings is an early-stage investment firm that invests in diversified sectors. They support novel and evidence-based innovations that could produce an outsized return for the benefit of humankind. The firm specializes in the fields of business development, venture capital, and financial services.

Metaplanet

NordicNinja is searching for #1 teams in the world who are based in the New Nordics. The Article 8 classified fund focuses on scaling companies from Northern Europe that promote environmental and social characteristics, from self-driving electric trucks to AI-driven identity verification; from brain scan analytics predicting Alzheimer’s to mixed reality headsets training astronauts for their Mars mission; from seamless urban mobility to end-to-end transparency of sensitive supply chains. The founder and operator-led team fulfils the Japanese desire towards opportunities within sustainability and the digital society by investing in the future we want to live in.

NordicNinja VC

Kognic

Kognic provides the data platform accelerating ML for performance-critical applications. Our proven MLOps tools empower engineers to develop, test, and deploy perception systems in measurable and cost-efficient ways.

Kognic is a Swedish company that specializes in dataset management for sensor-fusion applications, particularly in autonomous vehicles and robotics. The company's platform enables the annotation and management of complex data from multiple sensors such as cameras, LiDAR, and radar. Kognic's technology is designed to help machines interpret and navigate the unstructured real world, supporting the development of high-performing and safe AI applications.

Kognic Expands International Footprint, Solidifies Leadership Position in Dataset Management for Autonomous Vehicles

BaltCap

Kognic presents its suite of development tools for ML-based perception systems

Kognic Honored as Sensor Perception Solution of the Year by The Tech.AD USA Awards 2023

based Kognic raises €8.8M

The Annotation Platform for Sensor

Kognic: Deploying interactive machine learning

Kognic - Sould Brand & Design

Kognic Expands Global Presence in Dataset Management for Autonomous Vehicles

Kognic: Meet the Kognicians

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Kodiak Partners with Kognic to Enhance Reliability and Performance of AI Pipelines for Autonomous Trucking

Kodiak Robotics

to boost Kodiak's AI models with data labelling solutions.

Using online platforms, autonomy, electric and fuel-cell tech solutions to shape the future of trucking.

Truck Industry Tech

Developers of autonomous light, medium, and heavy-duty trucks. Most companies outfit truck chassis with their technology. The majority of autonomous trucks available test at SAE Level 3 (i.e., require a driver present and ready to take control or remote assistance by an operator).

Kognic is a Swedish company founded in 2018 that specializes in dataset management for sensor-fusion applications, particularly in the fields of autonomous vehicles and robotics. The company's platform enables the annotation and management of complex data from multiple sensors such as cameras, LiDAR, and radar. Kognic's technology is designed to help machines interpret and navigate the unstructured real world, supporting the development of high-performing and safe AI applications.
The Kognic Platform features an industry-leading annotation engine for multi-sensor fusion, allowing AI product teams to explore, shape, and explain their datasets efficiently. A key component of the solution is the Prediction Gap Lens, which helps identify discrepancies between annotations and predictions, enabling teams to enhance model performance. The platform also includes tools for visualizing complex sequences and fine-tuning capabilities to improve model performance for perception tasks.
Kognic's business model focuses on serving global enterprises in industries such as automotive, robotics, manufacturing, and fulfillment. The company has reported significant growth, with a 60% year-over-year revenue increase in 2023 and a 90% year-over-year growth as of August 2024. Kognic aims to return to profitability by 2025.
Key customers and partnerships
Kognic's dataset management platform has been adopted by several technology leaders in the automotive industry. Notable customers include Qualcomm, Bosch, Continental, and Zenseact, which provide Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) systems for global OEMs such as BMW, Ford, and Volvo Cars. The company's technology is recognized within the industry, having won the ADAS/AD industry award for "Top Perception Platform" in 2023. Kognic has expanded its presence internationally, with teams in Germany, Eastern Europe, the US, and Japan to serve its growing global customer base.

Kognic is a Swedish company that specializes in dataset management for sensor-fusion applications, particularly in autonomous vehicles and robotics. The company's platform enables the annotation and management of complex data from multiple sensors such as cameras, LiDAR, and radar. Kognic's technology is designed to help machines interpret and navigate the unstructured real world, supporting the development of high-performing and safe AI applications.The Kognic Platform features an annotation engine for multi-sensor fusion, allowing AI product teams to explore, shape, and explain their datasets efficiently. A key component of the solution is the Prediction Gap Lens, which helps identify discrepancies between annotations and predictions, enabling teams to enhance model performance. The platform also includes tools for visualizing complex sequences and fine-tuning capabilities to improve model performance for perception tasks.Kognic's business model focuses on serving global enterprises in industries such as automotive, robotics, manufacturing, and fulfillment. The company has reported significant growth, with a 60% YoY revenue increase in 2023.&nbsp;Key customers and partnershipsKognic's dataset management platform has been adopted by several technology companies in the automotive industry such as Qualcomm, Bosch, Continental, and Zenseact, which provide advanced driver assistance systems (ADAS) and autonomous driving (AD) systems to global OEMs.

Datagen provides a self-service synthetic data platform that generates visual synthetic data of humans for computer vision applications. The platform allows users to write their own code to generate labeled synthetic data for faces, full body, and humans in motion in the form of images and videos to test and train AI models while retaining complete control over the data. The data covers a range of computer vision tasks including face landmark detection, face and hair segmentation, facial recognition and identification, full body pose estimation, full body segmentation, and behavior detection.Key customers and partnershipsThe company serves three of the top five global technology companies and Fortune 500 companies across the automotive, smart fitness, AR/VR/metaverse, smart office, and home security industries. Its notable customers include Google, Toyota, NVIDIA, IBM, and Intel.Funding and financialsIn March 2022, the company raised USD 50 million in a Series B funding round led by Scale Venture Partners. The funds were utilized to bolster its position in the market.Datagen reported to have recorded 8x growth in revenue in 2022.

Datagen

Weights &amp; Biases offers a platform that allows users to build models with experiment tracking, data set and model versioning, data visualization, hyperparameter optimization, and model management. The platform enables users to automatically retrain and re-evaluate models and centrally manage all model versions through every lifecycle stage—from development to staging to production. It also helps to visualize comparisons between model versions to evaluate performance and identify regressions before model deployment. It also offers toolkits such as <a href="https://sp-edge.com/updates/19172">W&amp;B Weave and W&amp;B Production Monitoring </a>to build and monitor data- and ML-powered applications, respectively, through interactive visualizations.The company also offers a <a href="https://sp-edge.com/updates/17880">suite of tools (W&amp;B Prompts) </a>to support large language model operations (LLMOps). W&amp;B Prompts includes tools and features for experiment tracking, debugging, and collaboration, as well as a one-click method to evaluate and score prompts through the OpenAI Eval’s framework.The company provides the platform through a free tier and under a subscription model for up to USD 50 per user per month.Key customers and partnershipsWeights &amp; Biases served more than 700,000 ML practitioners as of August 2023. Its notable include NVIDIA, Toyota, BMW Group, Samsung, Fujifilm, Truebill, and Clear Capital.The company has <a href="https://sp-edge.com/updates/18663">partnered with Lambda </a>, a GPU cloud computing provider, to offer its MLOps platform integrated with the infrastructure services of the latter, catering to enterprises dealing with AI and deep-learning workloads.Funding and financialsIn August 2023, the company raised <a href="https://sp-edge.com/updates/20874">USD 50 million in a strategic investment </a>round at a valuation of USD 1.25 billion, led by Daniel Gross and Nat Friedman. The round also saw participation from Sapphire Ventures, Coatue, Insight Partners, and other investors. The company aimed to utilize the fresh funds to further develop its ML tools, including the launch of W&amp;B Prompts.

Weights & Biases

BentoML offers an open-source platform called Bento Cloud, for the deployment and scaling of AI applications. It is a fully managed platform that handles the complexities of AI infrastructure, providing serverless autoscaling as required during the development and production stages. The platform helps to ship models to production with advanced deployment options including online and shadow A/B testing, while also providing visibility through model performance monitoring. The platform integrates with an organization’s existing data stack and enables users to continuously deploy and improve models in production. The company offers its platform through a combination of subscription and usage-based model.In addition, BentoML also provides the following open-source platforms: 1) Yatai, for model deployment on Kubernetes and 2) bentoctl, for model deployment on any cloud platform.Key customers and partnershipsAs of January 2024, BentoML reported that over 1,000 organizations, comprising more than 3,000 members, use its platform. Its notable customers include Koo, Open Layer, Line, and Naver.The company entered into a strategic partnership with TomTom, a developer of location technology, to help integrate with various models as well as in LLM deployments.Funding and financialsThe company raised <a href="https://sp-edge.com/updates/19684">USD 9 million in seed funding </a>in June 2023 led by DCM Ventures, with participation from Bow Capital. It aimed to channel the newly acquired funds to enhance its platform and offer developers a range of tools for building, deploying, and scaling AI applications efficiently.

BentoML

Iguazio provides a serverless platform based on its open-source Nuclio framework that helps users to develop, deploy, and manage real-time AI applications without requiring them to manually manage underlying infrastructures such as servers and storage. The platform creates real-time intelligence for applications located at the edge, public cloud, and on-premise data centers and reduces bandwidth constraints by consolidating data into a repository and making it available for applications as required. The platform can ingest and transform data from any source, which is then used to train, evaluate, deploy, and monitor models in production.The company leverages Big Data and ML software such as Apache Spark, TensorFlow, and Kubernetes to manage software containers that enable applications to run across different computing environments.Key customers and partnershipsIguazio serves customers in the financial services, telecommunications, smart mobility, manufacturing, retail, AdTech, gaming, healthcare, energy, and utilities sectors. Notable customers include Samsung, Microsoft, NVIDIA, AWS, Google, and Intel.Funding and financialsIn January 2020, the company raised USD 24 million in a funding round led by INCapital Ventures. The funds were utilized to accelerate its growth, expand its reach into new global markets, grow sales, and facilitate new sales channels that include companies such as Dell Technologies

Iguazio

Cogito Tech provides image and video annotation to generate computer vision training data sets for ML &amp; deep learning (DL). The video annotation solution leverages AI-powered tools to convert video into a sequence of images and generates training data sets for ML-based AI models, including self-driving cars and drones. The AI model understands and derives insights from visual data to detect, identify, classify, and track objects in an image or video. Cogito also provides virtual assistants and chatbots to help users in the process of training ML algorithms. Cogito Tech also provides high-quality, ethically sourced datasets that are compliant and reliable to train ML models.In addition, the company provides services to fine-tune LLMs and GenAI applications through reinforcement learning techniques as well as stress test models through red teaming.Key customers and partnershipsAs of December 2022, the company served more than 150 customers across 25 countries in the retail, medical, automotive, agriculture, robotics, smart cities, security, and manufacturing industries. Notable customers includes Verizon Media, The University of Sydney, National Geographic, Tumblr, and Vimeo.

Cogito Tech

Platforms and frameworks that help developers build and train ML models.

Platforms that deploy and host the trained and tested models in production and integrate them into applications through APIs.

Platforms that generate artificial data that mimics the characteristics of real data, which is then used to train ML models at scale.

Platforms that help monitor and manage ML models in training and deployment to track performance, conduct variance analysis, and optimize performance.

Makers of hardware such as CPUs, GPUs, and other application-specific hardware required to train and run ML workloads.

Integrated solutions that handle the end-to-end processes of developing, training, deploying, and monitoring ML models.

Data exchange providers and platforms that offer data labeling services via manual and/or software methods, which are used as input to train ML models.

Includes companies that provide infrastructure to build AI/ML applications

Provides tools to build, monitor, and deploy GenAI applications

Industry is focused on offering platforms for other businesses to build AI-/ML-powered apps

PROMINENT_CATEGORY

<div>
 Autonomous truck manufacturer, Kodiak Robotics, has formed a partnership with Kognic, a company that offers sensor-fusion data annotation platforms for AI applications. The aim is to enhance Kodiak's AI models with Kognic's data labelling solutions. 
 The collaboration is centered on improving Kodiak's annotation pipelines via Kognic's platform. This platform integrates data from different sources such as radar, LiDAR, and cameras, providing intuitive interfaces for complex object visualization.
 Major technology corporations like Qualcomm, Bosch, Continental, and Zenseact are already using Kognic's solution. They develop systems for globally renowned Original Equipment Manufacturers (OEMs) like BMW and Volvo Cars.
 
</div>

Kognic

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