Bakken & Bæck
A technically deep product studio for new AI products where machine learning, interface design, and engineering must evolve together.
Fit for this rating
Best for: European startups and product companies building an AI-native service with one design-and-engineering studio
Not the right fit for: a large corporate rollout requiring extensive procurement, marketing, and organisational-change capacity
Bakken & Bæck has an in-house machine-learning practice alongside product design and engineering. Its Sierra case is strong category evidence, showing work for an AI customer-service company rather than a generic automation concept.
Five dimension scores
Design with the model team
Bakken & Bæck's advantage is the proximity of product designers, software engineers, and machine-learning specialists. That makes it possible to treat AI behaviour as a product constraint during design rather than discovering feasibility problems after handoff.
The buyer should test research and operations with the same care. Ask how users were observed, which failure modes were prioritised, and who owns evaluation after launch.
Rating history
Initial AI rating at 8.0. Technical collaboration is strong; public trust, evaluation, and research trails are less complete.