Discuss a project

FOUNDER · AI/ML ENGINEER

Anton Moskvin — Founder and AI/ML Engineer at AI SaaS Solution

I design and build AI products together with their interface, data, backend, and integrations. I work remotely, from problem research and an early prototype to an agreed launch and the next iteration.

WORLDWIDE · REMOTE

01 · WORK DIRECTIONS

AI development as one product system

AI SaaS Solution takes on challenges where value depends not only on a model, but also on the user flow, data quality, interface, APIs, and a measurable outcome.

  • Custom AI product development
  • AI MVP development
  • RAG and AI assistant development
  • AI business process automation

02 · APPROACH

From research to launch

Every stage ends with a verifiable result. We name the actual project stage clearly: research, concept, prototype, MVP, or live product.

  1. 01

    Research

    Clarify the problem, users, data, constraints, and success criteria before expensive development.

  2. 02

    Prototype

    Test the highest risk with a UX prototype or technical spike and document what remains unproven.

  3. 03

    MVP

    Build the smallest end-to-end flow with AI/ML, interface, backend, and feedback.

  4. 04

    Launch and iteration

    Deploy the agreed scope, validate real use cases, and plan the next iteration from evidence.

03 · PROJECTS

Real projects with their stage stated honestly

The portfolio combines public products with technical MVPs, prototypes, and concepts. Every project page separates what works now from the limitations that remain.

01 · In production

AI Digital Insider

An ecosystem of technology content and practical AI tools.

Open case study 02 · Public version

PLC WEB

An engineering digital product for industrial automation workflows.

Open case study 03 · Technical prototype

GPU Market

A P2P marketplace for renting underused GPU capacity.

Open case study 04 · Technical MVP

Marketing Optimisation

A technical AI-CVM MVP for testing one end-to-end workflow: CRM analysis, audience selection, a control group, and incremental-margin measurement.

Open case study 05 · Public concept testing

Iizhik.RF

An entertainment media product combining short stories, mini-games, useful AI tools, and an experimental Sleep Stories format.

Open case study 06 · MVP concept

Legal Support MCP

An MCP-layer concept for reviewing technical specifications and contracts: risks, questions, sources, and draft wording remain within a human-controlled workflow.

Open case study 07 · Functional local MVP

Gadalnya

An interactive media product: theme → ritual → three cards → a personal text interpretation in a gentle entertainment format.

Open case study

CONTACT

Discuss your challenge directly

Describe the problem, available data, and desired outcome. You do not need a chosen stack or a detailed specification for the first conversation.

Email hello@aisaassolution.comLinkedInHabr