Asgard - human Capital for AI
VC Fund
Potsdam, Germany
Asgard - human Capital for AI is a VC fund in Potsdam focused on Artificial Intelligence and Software. Asgard Capital provide early stage capital for companies with Artificial Intelligence.
- Total investments:
- 7
- Last investment:
- Lead investor:
- 14%
Last updated:
For AI agents: llms.txt
Industries Asgard - human Capital for AI invests in
Artificial IntelligenceSoftwareMachine LearningInternetRobotics
Stages Asgard - human Capital for AI invests in
SeedSeries AVenture - Series Unknown
Countries Asgard - human Capital for AI invests in
GermanyHong KongUnited Kingdom
Round sizes
Seed $500k–$2.5M
Contacts
| Name | Phone | Socials | |
|---|---|---|---|
4 more contacts available
Round size
- Seed
- $500k–$2.5M
Investment Focus
Industry
- Artificial Intelligence 4 (57%)
- Software 3 (43%)
- Machine Learning 3 (43%)
- Internet 2 (29%)
- Robotics 2 (29%)
Stage
- Seed 4 (57%)
- Series A 1 (14%)
- Venture - Series Unknown 1 (14%)
Country
- Germany 3 (43%)
- Hong Kong 1 (14%)
- United Kingdom 1 (14%)
Team
| Name | Title | Investments | Links | |
|---|---|---|---|---|
Fabian Westerheide
Founding Managing Partner
|
Founding Managing Partner | Total investments: 5 | Find email |
Investments
| Company | Description | Round | Links |
|---|---|---|---|
i2x
|
Real-time conversation analytics and continuous coaching.At i2x they are working to radically improve the human-to-human interaction between companies and their customers. They do this by providing real-time insights on business calls for managers on one side, and supporting agents with continuous communication training on the job on the other.i2x enables companies to leverage data and understand what makes their team successful and customers happy - all in real-time and powered by AI. With i2x, the black box of phone calls is decrypted for the first time. Traditionally, contact center success metrics are based on a limited set of data, including call attempts and duration. Built on a fit-for-purpose ASR (automatic speech recognition), i2x opens the doors to deeper, more meaningful insights. The platform evaluates complex speech parameters in real-time to determine the dynamics of a customer conversation. This includes customizable words and phrases, pauses, rate of speech, and speech-to-listen ratio. i2x analyzes sales and service team calls and identifies which approach works best for a specific customer or prospect group. Data-driven best practices are automatically shared with all team members. As a result, managers gain deeper insights into customer interactions, the skills of existing employees evolve and brand experience improves. i2x makes call data analyzable and actionable. “They do not automate, they augment the human intelligence, elevate customer interactions and amplify sales.” | $11.2M / Venture - Series Unknown / Jul 07, 2022 | |
|
i2x
|
Real-time conversation analytics and continuous coaching.At i2x they are working to radically improve the human-to-human interaction between companies and their customers. They do this by providing real-time insights on business calls for managers on one side, and supporting agents with continuous communication training on the job on the other.i2x enables companies to leverage data and understand what makes their team successful and customers happy - all in real-time and powered by AI. With i2x, the black box of phone calls is decrypted for the first time. Traditionally, contact center success metrics are based on a limited set of data, including call attempts and duration. Built on a fit-for-purpose ASR (automatic speech recognition), i2x opens the doors to deeper, more meaningful insights. The platform evaluates complex speech parameters in real-time to determine the dynamics of a customer conversation. This includes customizable words and phrases, pauses, rate of speech, and speech-to-listen ratio. i2x analyzes sales and service team calls and identifies which approach works best for a specific customer or prospect group. Data-driven best practices are automatically shared with all team members. As a result, managers gain deeper insights into customer interactions, the skills of existing employees evolve and brand experience improves. i2x makes call data analyzable and actionable. “They do not automate, they augment the human intelligence, elevate customer interactions and amplify sales.” | $11M / Series A / Feb 26, 2019 | |
Micropsi Industries
|
Micropsi Industries is building cognitive machines: Theyr’re providing high-end machine learning solutions for robotics and process control.micropsi industries MIRAI is a robot control system designed for complex assembly tasks. MIRAI-controlled robots perform movements that react to minute changes in the environment, as perceived by the robotwith cameras or force sensors. MIRAI skills aren't programmed, but trained - through demonstration, correction, and repetition. This allows users to create skills without writing a single line of code or modelling the problem.The company was founded in 2014 by a group of experienced entrepreneurs, software engineers and scientists, most of them with cognitive science or machine learning backgrounds. micropsi industries is backed by Vito Ventures, coparion, and a group of experienced business angels from Munich and Berlin. | $2.5M / Seed / Jun 27, 2017 | |
Accelerated Dynamics
|
Currently, drones, robots & connected IoT devices are limited by their method of control as there is no unifying platform that grants true autonomy and can control multiple robots. This means one or more operators are required per vehicle or robot. Accelerated Dynamics provides an AI software platform that enables autonomous, collaborativerobot missions and an ecosystem environment enabling seamless data collection and analytics solutions from third party providers. Our proprietary mission management system is built upon strong IP portfolio based on machine learning and multi-agent technologies, including: autonomous robot decision making, neural network based fleet management and strategy creation, navigation, path planning, collision avoidance for the fleet and autonomy level management for human-robot interaction. | $560K / Seed / Aug 22, 2016 | |
parlamind
|
parlamind is an Artificial Intelligence (AI) for Customer Service. Based on latest research in Natural Language Processing and Machine Learning as well as state of the art cloud software the parlamind team is building an AI of the next generation. parlamind will analyse, route, and autonomously answer incoming customer communication, and thus worksseamlessly together with its human counterparts as a member in the customer service team. parlamind was founded in August 2015 by Dr. Tina Klüwer, Christian Wolf, Dr. Núria Bertomeu Castelló and Tobias Lehmann. The founders combine their experience from E-Commerce, Enterprise Software, and AI-Research from leading companies and research facilities like wirkaufens.de, German Centre for Research in Artificial Intelligence (DFKI), Deutsche Telekom Laboratories (T-Labs) and Searchmetrics. | $1.6M / Seed / Jul 07, 2016 | |
Soundbrenner
|
Soundbrenner - making music practice addictive. Over 1 billion people have tried learning an instrument and failed. More than 90% of people who start playing music give up in less than a year. Enter Soundbrenner. By combining wearables with great software, Soundbrenner creates a music practice experience that is fun and rewarding, allowing anyoneto learn and master any instrument.To date we shipped over 80,000 wearables and are in music stores in over 40 countries. Our mobile apps are used by over 500,000 musicians every month. We're headquartered in Hong Kong and operate an additional office in Berlin. While we are proud of the progress we made so far, we still consider ourselves to be at the very beginning of what is to come. | $500K / Seed / Aug 01, 2015 | |
|
Micropsi Industries
|
Micropsi Industries is building cognitive machines: Theyr’re providing high-end machine learning solutions for robotics and process control.micropsi industries MIRAI is a robot control system designed for complex assembly tasks. MIRAI-controlled robots perform movements that react to minute changes in the environment, as perceived by the robotwith cameras or force sensors. MIRAI skills aren't programmed, but trained - through demonstration, correction, and repetition. This allows users to create skills without writing a single line of code or modelling the problem.The company was founded in 2014 by a group of experienced entrepreneurs, software engineers and scientists, most of them with cognitive science or machine learning backgrounds. micropsi industries is backed by Vito Ventures, coparion, and a group of experienced business angels from Munich and Berlin. | Seed |
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FAQ
What does Asgard - human Capital for AI invest in?
Asgard - human Capital for AI invests primarily in Artificial Intelligence, Software and Machine Learning startups, most often at Seed and Series A stage. Most of the 7 investments tracked by Shizune back companies in Germany. The Investment Focus section breaks down every industry, stage and country in the portfolio.
What is Asgard - human Capital for AI's check size?
Asgard - human Capital for AI typically joins rounds of $500k–$2.5M at Seed. These ranges are 10th–90th percentile round sizes calculated from confirmed public funding rounds, so they are a realistic guide to the rounds Asgard - human Capital for AI participates in.
How do I contact Asgard - human Capital for AI?
Public channels for Asgard - human Capital for AI include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.
Who are the partners at Asgard - human Capital for AI?
The team at Asgard - human Capital for AI includes Fabian Westerheide (Founding Managing Partner). The Team section lists each member with their title, investment count and links.
Is Shizune's investor data accurate?
Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.
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