AI vendor and model selection: build vs buy, tested on your own tasks
We compare ready platforms, hosted models and private deployment on your real tasks. We calculate the yearly cost of ownership and check that demo promises hold on your data. You get a decision backed by tests, not by a sales pitch.
What hurts
There are dozens of voice bots, chat platforms and models. They all promise the same thing and prices differ several times over. It is unclear which ones actually work with Polish, Ukrainian or your domain language.
You do not know what is cheaper: buy a ready service, commission custom AI development or run your own model. Every vendor proves that its own option is right.
Price per token looks tiny, yet the monthly bill is large. Nobody has calculated what the solution costs at your real volume a year from now.
What we build
- Task and requirement brief: language, volume, security, integrations
- Long list of vendors and models, narrowed to a short list
- Test set built from your real examples
- Side-by-side tests of OpenAI, Anthropic, Google and open-weight models
- Integration check with your CRM, ERP such as SAP or Odoo
- 12 month total cost of ownership model
- Risk review: lock-in, data residency, GDPR and contract terms
- Build, buy or hybrid recommendation
What you get
- Comparison table of vendors and models with scores
- Test results on your examples
- Cost of ownership model with several volume scenarios
- Recommendation report with reasoning
- Negotiation checklist for the chosen vendor
How we measure the result
- Answer quality of each option on your test set
- Cost per operation for each option
- Full yearly cost of ownership in the base scenario
- Integration time of the chosen option with your systems
Systems and stack
Industries
Questions
How much does AI vendor selection cost?
From $5,000 for 2–3 weeks. The price depends on the number of tasks, vendors on the short list and the complexity of the test set. Comparing models for one text task is simpler than testing voice platforms with telephony.
You build AI yourselves. Are you objective?
We include our own products and third-party ones in the same tests. You see every criterion and every result. If an off-the-shelf SaaS is cheaper and good enough, we recommend it. Long-term trust is worth more to us than one project.
Which models do you test?
Current models from OpenAI, Anthropic and Google, plus open-weight models that run on your own servers through vLLM. For voice we add speech recognition and synthesis platforms, tested in the languages your customers speak.
When is a private model cheaper than an API?
When volume is large and steady, or when data cannot leave your control. For smaller volumes an API is usually cheaper. We calculate the break-even point using your own volume figures.
What if a better model appears in six months?
That is expected. We recommend an architecture where the model can be swapped without rewriting the system. The test set from this project stays with you. Any new model is checked on the same examples before you switch.
Related services
More in this section
Describe the task. We reply within one business day, the first call is with the founder.
Describe the task. The first call is with the founder.
We reply within one business day. 30 minutes to tell you whether it is worth doing and what it costs.