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From specialised AI agents and custom AI-powered tools to private AI infra. With clear monthly pricing and quick results, you get AI that actually works from day one.

Rating Reviews

Rating is calculated based on 3 reviews and is evolving.

Featured Reviews

Data Scientist
3.9
26 August 2026
Solid growth opportunities in AI R&D
Pros: The emphasis on innovation and pushing boundaries in AI is really motivating. I've had the chance to work on challenging projects that have directly contributed to my professional development. The team is full of bright minds, making collaboration very rewarding, and there's a genuine culture of knowledge sharing, which is great for career growth.
Cons: While there are many opportunities to learn, sometimes the project roadmap can shift rapidly, which can lead to temporary overload during critical phases. Also, formal mentorship programs could be more structured to guide junior engineers more effectively through their career progression paths.
Advice to Management: Consider implementing more formal career pathing discussions and mentorship opportunities to help employees navigate their growth within the company more clearly. Also, better planning around project scope changes could mitigate periods of intense workload.
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Senior Data Scientist
3.9
9 September 2026
Innovative AI Research with Great Colleagues
Pros: The best part is definitely the people and the cutting-edge research. I've learned so much from my colleagues, who are some of the brightest minds in AI. The projects are genuinely interesting, pushing boundaries in the field. The company culture is supportive and encourages continuous learning, which is crucial for my role as a Senior Data Scientist. The hybrid work setup offers good flexibility.
Cons: While leadership is generally good, there can be some communication gaps, especially across different departments, which sometimes slows down project execution. Bureaucracy can creep in, making rapid iteration challenging at times. Some of the legacy systems could also use an upgrade to keep pace with our ambitious goals in this fast-evolving AI sector.
Advice to Management: Continue investing in R&D and employee development. Streamline inter-departmental communication to foster quicker decision-making and reduce operational friction.
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Junior Data Scientist
3.7
20 September 2026
Good learning for junior roles, but communication could be clearer
Pros: SevenLab offers a fantastic environment for those starting their careers in data science, particularly within the biotech sector. The projects are often cutting-edge, and there's a real willingness from senior staff to mentor and share knowledge. The company culture is generally collaborative, and the hybrid work setup in the Amsterdam office is a definite plus for balancing work and personal life.
Cons: While learning is abundant, project management can feel a bit ad-hoc, leading to occasional scope creep or unclear objectives. It would be beneficial to have more structured project planning and clearer communication channels between different teams and management, especially when working remotely. Some processes could also be more streamlined.
Advice to Management: Consider implementing more standardized project management frameworks and enhancing transparency in communication. This will help streamline workflows and ensure everyone is aligned, especially in a hybrid work environment.
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