AI consulting and audit
We help you see where AI will deliver and where it will not: audits of existing solutions, choice of architecture and models, feasibility assessment and an adoption strategy. Consulting is led by NDDev’s CEO, ML and LLM engineer Danil Silantyev.
Who it is for
Leaders and teams deciding whether to adopt AI, choosing between approaches, models and vendors, or running a solution already but unsure of its quality, cost and risks.
What the client gets
Answers to your questions about an AI solution: what to do, in what order and with what risks. We choose the format — consultations, an audit or a feasibility study — to fit the task; afterwards you can continue with us or with your own team.
Audit of AI solutions
A review of a running solution: quality, cost, architecture, data handling and risks.
Architecture and model choice
Which models, hosting mode and tools fit the task, the data and the budget.
Feasibility assessment
A check on your data of whether the task can be solved at the required quality — before a large build.
Adoption strategy
Which processes to start with, how to measure the effect and how to develop the solution further.
Team training
Helping your engineers and managers work with language models and agents.
Questions
Who leads the consultations?
Danil Silantyev — NDDev’s CEO, ML and LLM engineer.
Do we have to order development from you afterwards?
No. The recommendations are yours, and you can implement them with your own team or another vendor.
How does the work run?
We start with a short conversation about the task, then agree the format and scope — consultations, an audit or a study — and the timeline.