Inception Fund

Still in pre-training. Backing New Nordic made technical brilliance at the earliest inception stages.

www.inceptionfund.vc

In pre-training...

Zenith Ventures

Founder and operator turned VC. Backing obsessed Nordic B2B software and vertical AI founders from the earliest stages. 

No-nonsense, hands-on and fighting for founders.

General Partner

Stealth AI Startup

Pre-seed Investor

Natively

Build and launch native mobile apps with AI.

www.natively.dev

Lovable

Building the last piece of software.

Careers: https://lovable.dev/careers

www.lovable.dev

Angel Investor

Vantel (YC W25)

AI Software for commercial insurance brokers (YC W25).

www.vantel.com

Pre-seed Investor 

Tandem Health

Helping clinicians focus on providing care instead of on administrative tasks through AI and automation.

Careers: https://jobs.ashbyhq.com/tandem-health 

www.tandemhealth.ai

Tzafon

An applied AI research & development firm looking to push the boundaries of what machines are capable of through the intersection of AI & software engineering.

www.tzafon.ai

Lightbringer

Navigate and protect your IP and patent journey with AI.

Careers: https://www.lightbringer.com/apply

www.lightbringer.com

Seed Investor

Pruna AI

The AI optimization engine for ML teams seeking to simplify scalable inference.

Careers: https://careers.pruna.ai/

www.pruna.ai

Data & AI/ML Entrepreneur | Early Stage Investor

Over a decade of experience within Big Tech, B2B software, Data and AI Infrastructure as a founder, operator and investor.

Passionate about bringing new and paradigm-shifting technologies to market. This passion has led me to a over decade-long entrepreneurial career focused on emerging software industries and global markets - from ML & Data Infrastructure startups and venture capital funds to Fortune 500 technology leaders such as Google. 

Raised +$50M in early-stage funding from top VCs as a founder and operator. 

A big believer in people, data, design and telling a story. Passionate about building new products with the right GTM, messaging and growing teams that do so.

Deep understanding of the venture capital, private equity, SaaS, cloud, data and AI ecosystems with solid global relationships at all levels.

Frequent keynote speaker on topics around data, AI, startups and venture capital. Considered as one of the top AI & data thought leaders in the Nordics.

Oliver Molander

I don't think people truly understand how early we're in enterprise adoption of AI agents.

McKinsey just released their 2025 AI report. 

Some nuggets:

1️⃣ 90% of companies “use AI,” but 67% are still stuck in pilot mode. Corporate AI theater is alive and well.

2️⃣ 62% of orgs are experimenting with AI agents, 23% are scaling AI agents. Most are in tech and healthcare.

3️⃣ The impact gap is massive. 64% say AI helps innovation, but only 39% see real EBIT gains. 

4️⃣ The high performers (top 6%) think bigger. They rebuild workflows, set growth goals, and invest real budgets not just PoCs.

5️⃣ Leaders who own AI personally are 3x more likely to scale it. Makes sense.

6️⃣ The winners use AI to transform how work gets done, not just speed it up.

7️⃣ The average company measures efficiency. The best ones measure how fast their agents can act.

8️⃣ Risk management is catching up with 51% have already seen AI backfire, mostly from inaccuracy.

9️⃣ The workforce impact is foggy. 32% expect cuts, 13% expect growth, everyone else is guessing.

Agentic AI looks magical in demos, but scaling it across teams and systems (especially in enterprise settings) is where it still breaks. You can do basic single-step automation reliably right now (tool calling).

As Andrej Karpathy recently noted on LLM agents:

"My critique of the industry is more in overshooting the tooling w.r.t. present capability."

Bottom line: we're still super early, this transformation will go on for another decade.

I'm bullish, but this will take a bit longer than we think, having fully autonomous agents. Just like autonomous driving took a bit longer than we thought, but here we are.

E.g. one of the biggest challenges in building AI agents today is agents' long-term memory.

#artificialintelligence

All Ears

Tech Lead - NLP/ML/AI

PremAI

Advisor — Technical and Business development

Women in Data Science (AI & ML) Sweden

Mentor in the areas of Data Science, Machine Learning, Natural Language Processing, career planning, networking, upskilling, etc.

Mentor

Hypertype.co

Advisor — Technical Advisor in NLP, Machine Learning, and Data

Gavagai

I was responsible for the Data Science team @ Gavagai, including day-to-day work, feedback/upskilling, hiring/interviewing, planning and execution of work etc. The team's tasks included finding solutions to business problems using data, machine learning, and data science; as well as maintaining the language resources required for training and evaluating, e.g., sentiment models in multiple languages.

I was also responsible for leading the work on the technical strategy regarding the Gavagai Explorer in order to make the most of new and emerging technologies such as Large Language Models and advanced Natural Language Processing.

Head of Data Science & Product Strategist

Head of Data Science and Product owner.

I was responsible for the Data Science team @ Gavagai, including day-to-day work, feedback/upskilling, hiring/interviewing, planning and execution of work etc. The team's tasks included finding solutions to business problems using data, machine learning, and data science; as well as maintaining the language resources required for training and evaluating, e.g., sentiment models in multiple languages.

As the product owner, I was responsible for eliciting and coordinating requirements on our SaaS product (Gavagai Explorer) from customers and company leadership; as well as for planning, resource management, and overseeing implementation of product features.

Head of Data Science & Product Owner

During my time at FOI and RISE, a held a part-time position at Gavagai as an advisor to the Data Science team and company management in NLP, Machine Learning, and Data Science.

Scientific Advisor

I held multiple positions and responsibilities: member of the board; defined strategic business goals and worked with business development; pre-sales with extensive customer contact; supervised interns and academic degree students; continuously contributed to the development of algorithms, software and core services. I worked the entire tech stack, from Enterprise Java and databases, to web applications. Responsible for developing and operating Gavagai’s real-time data collection, ingesting millions of web posts per day in 45 languages.

Chief Data Officer and Partner

RISE SICS

Research in Machine Learning, Natural Language Processing, and Artificial Intelligence. Project lead.

Senior Research Scientist

Research Scientist in decision support and knowledge management within the Intelligence and Security Informatics domain. I focused on issues relating to the application of Natural Language Processing and Machine Learning methods for analyzing written language.

Research Scientist

European Commission

Contracted as external expert evaluator for project proposals to the Horizon 2020 research and innovation programme.

Expert

Recorded Future

At Recorded Future, I was responsible for the research, design, implementation, and employment of a framework for realizing user-defined event extractors, with the purpose of facilitating the extraction of factual information from text.

Software Developer

Swedish Institute of Computer Science (SICS)

Information access and refinement; in particular user centered approaches involving machine learning (active learning, semi-supervised learning).

Research Scientist - Language Engineering

PhD. Head of Data Science @ Gavagai. Creator of metacurate.io.

I'm an experienced and pragmatic tech leader that loves solving business problems using data and best-practices from software engineering and Machine Learning.

Mentor, advisor and public speaker. PhD in Computational Linguistics.

Also, I was awarded the 2023 DAIR Machine Learning Professional of the Year 🥇 😉

taplio

The Battle

Oliver Molander

Fredrik Olsson

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The Battle

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Fredrik Olsson

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Oliver Molander's LinkedIn Performance

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