Innovate Faster

Implement your GenAI use-case in as little as 2 weeks

Data Tank Presentation

PoC vs. Prototype vs MVP: Understanding the difference

We use a gated approach to only build what matters, and validate the direction before moving to the next stage. We start with a product brief, then agree on which build size makes the most sense for you (usually a PoC).

While Proof of Concept (PoC), Prototypes, and Minimum Viable Product (MVP) are crucial stages in product development, they serve different purposes. A PoC demonstrates the feasibility of an idea, a Prototype is a more hands-on tangible draft, while an MVP is a basic version of the product with core features.

Invest in solutions that matter.

Our two-week PoC reduces time-to-market, enabling quick iterations and fast results. Get actionable insights and a working concept in just 14 days, letting you capture AI opportunities swiftly and confidently.

Our Process

Step 1: Validate the Project Brief

We'll schedule a call to validate our project brief which includes project scope, impact, technical assumptions, user base, and stories to validate the assumptions as well as do a technical deep dive to further understand the customer and what's most important. This is also where together we decide the gated approach to the project (PoC, Prototype or MVP). This can be a meeting or asyncronous work.

Step 2: Working PoC

Step 3: Feasibility Assessment

Step 4: Scale

Seize AI-driven opportunities faster than ever

A working PoC

A working PoC

Beyond Figma clickthroughs, we let you get a feel for what your use-case could look and feel like in action.

Feasibility Assessment

Feasibility Assessment

Maximize your investment potential with a technical analysis of the possibility to implement such solution in a sustainable way (e.g., technologic readiness, cost feasibility)

Scale

Scale

After two weeks, you'll be ready to scale your validated PoC.

Innovation is our DNA.

For the last 7 years we've been an innovation speedboat for startups and enterprises. Not only that, but we have our own internal R&D department to test and experiment with technology solutions.

We asked ourselves: How can we innovate faster? We've taken that agile experience and reduced it down to the essential steps to maximize business impact.

Some of our AI innovations

BMW smart car

Making smart cars safer with BMW

We built an AI-driven safety software to help all of us make responsible decisions on the road

Read moreLink to the case study Making smart cars safer with BMW
Planetir cover

Simplifying talent matching through GenAI

We created a GenAI chatbot for Planetir to find the best candidate for job openings.

Read moreLink to the case study Simplifying talent matching through GenAI

Using GenAI to optimize Human Resource ratings

We created a GenAI engine for Planetir to automatically rate engineer seniority and skills.

Read moreLink to the case study Using GenAI to optimize Human Resource ratings

Let's innovate together

Innovate with us