Co-building: joint development of AI products
A strategic partnership in which we collaborate with a company to develop and commercialize an innovative AI product. We combine investments, expertise, teams, and infrastructure to accelerate development, reduce risks, and create a scalable solution with high market potential.
When is this especially relevant?
- The company wants to create an AI product but does not have its own technical team or the necessary experts.
- We need to speed up the launch of innovative solutions to the market, bypassing the lengthy hiring and skills acquisition process.
- It is necessary to separate investment and operational risks
- There is a lack of internal knowledge on AI, ML, and data platforms
- The company is ready for a long-term strategic partnership
What can businesses gain from collaborative AI development?
- Reducing development risks by up to 70% – through the distribution of responsibilities, resources, and competencies
- Reduce time to market with ready-made infrastructure, expertise, and technology
- Access to AI expertise – architects, developers, designers, lawyers
- Budget optimization – a flexible cost-sharing and monetization model (revenue sharing or co-ownership)
- Creating a product with high potential for scaling and expansion into new segments
Why do businesses choose to partner with us?
Expertise in AI and digital product development
We create more than just interfaces; we create technologically sophisticated AI solutions that take into account the real-world limitations of ML models and user needs.
Quick start
We already have a ready-made infrastructure, architecture templates, model libraries, and processes. This significantly shortens the path from idea to first client.
A true partnership
We invest in your product's success together: we share risks, invest resources, and help you grow. This isn't passive outsourcing, but a full-fledged co-building partnership.
Flexible monetization model
We offer co-ownership, revenue sharing, or exclusive ownership models, depending on the client's goals and strategy.
How do we structure our work process?
- Product Strategy and Design We formulate a shared product vision and develop a strategic concept. We work with the client to create user personas, conduct a design workshop to develop a product hypothesis, and design a high-level architecture for the future AI solution. All of this takes into account the company's goals and the feasibility of AI implementation.
- Collaborative Development and Prototyping We share responsibility, budget, and resources by creating product teams that work using agile methodologies. At this stage, an interactive prototype is created, key hypotheses are validated through interviews and tests, and initial user feedback is processed. An iterative process is conducted to develop the MVP.
- AI Integration and Testing At this stage, AI components (ML models, NLP, CV, recommender systems, etc.) are integrated into the product, and pipelines, APIs, and MLOps are configured. Comprehensive testing—from UX to performance—is conducted with real users to ensure the reliability and quality of the solution.
- Market Entry and Scaling The final stage: developing a go-to-market plan, connecting sales and communications channels, and attracting first users. At the same time, we prepare a scaling roadmap, prioritize features, and set up product support and development processes.
AI consulting
People Strategy
Growth & Investment