Model Selection and Vendor-Independent Advisory
Model selection advisory is a vendor-independent service for choosing the right technology stack among OpenAI, Google, Anthropic or open-weight models, based on the organisation's needs, budget and data policy.
Who is it for?
- Teams unsure which model or tool fits them
- Organisations that do not want to depend on a single vendor
- Anyone who must balance cost, quality and data security
How we work
The steps show a general framework; scope and duration are adapted to each organisation.
Gathering requirements
We clarify use cases, expected quality, latency, volume, language support, budget and data policy.
Shortlisting candidates
We list the model families and deployment options (cloud API, Enterprise plan, on-premise) that fit the requirements.
Testing on your own data
We compare the candidates on an evaluation set built from your real examples.
Recommendation and transition plan
We present a recommendation justified on quality, cost and risk, along with architecture principles that make switching vendors easier if needed.
Deliverables
- A justified technology stack recommendation
- A comparison report for the candidate models
- A cost estimate and its assumptions
- Architecture recommendations that reduce vendor lock-in
Frequently asked questions
Why vendor-independent advice?
We make recommendations independent of any vendor, based only on your needs. Models change quickly, so what fits best today may change tomorrow; that is why we recommend an architecture that can be swapped where needed.
Should we use one model or several?
For some tasks one model is enough. If tasks have different quality and cost requirements, using several models together can be more efficient. We decide based on evaluation results.
Our other services
AI Strategy and Discovery
We review your existing workflows (HR, finance, customer service, operations). We map which processes AI can automate, where it can reduce cost and where it can raise efficiency.
Custom AI Solutions
We design RAG (Retrieval-Augmented Generation) architectures for assistants that know your own data (PDFs, emails, databases).
Product Development, Security and Compliance
Enterprise API setups, integration of open-weight models running on your own servers (on-premise) where needed, and AI-integrated web and mobile application development when required.
Team Training and Prompt Engineering
Installing the technology is not enough; people need to use it well. We teach teams to use Copilot, ChatGPT or custom assistants and to write effective prompts.
Let's talk about this service
Let us listen to your processes and goals and evaluate together whether this service fits you.
Send an email