AI Automation
Practical AI systems that reduce operational load while preserving clarity, control, and human judgment.
- Workflow design
- Model integration
- Human review loops
AI Automation, Systems & Software Engineering Intelligent Systems.
Custom software for teams managing work across spreadsheets, disconnected tools and manual processes.
- Scope
- AI automation · Backend infrastructure · Enterprise software · SaaS platforms
- Origin
- Iowa State University
- Contact
- contact@niyozov.software
Capabilities
Software foundations for serious work.
Four focused capabilities for organizations that need intelligent systems to be clear, reliable, and built for long-term use.
Backend Infrastructure
APIs, data models, authentication, queues, and deployment foundations built for scale, security, and maintainability.
- Service architecture
- Data systems
- Operational reliability
Enterprise Software
Internal tools and operational platforms designed around real business processes, reliability, and long-term use.
- Process mapping
- Role-based systems
- Secure operations
SaaS Platforms
Product systems with clean user flows, durable architecture, and infrastructure designed for sustainable growth.
- Product architecture
- Subscription systems
- Growth-ready foundations
Reference work
Two systems that show how we build.
An automotive parts marketplace in development and a property investment platform in use. Each sheet shows the system, what it does and its current status.
Marketplace — in development
Automotive parts marketplace, built toward photo-based part search.
An automotive marketplace in development, with listings, seller workflows, request-a-part and admin moderation. Photo-based part search is a planned capability under evaluation: no recognition model is in use yet.
Photo-search concept
- Photo input PlannedA buyer photographs the part.
- Visual identification Under evaluationCandidate models are benchmarked. None is frozen until a sufficient parts dataset exists.
- Compatibility PlannedFitment suggestions that the buyer confirms.
- Moderated listings In developmentSeller listings and seller verification reviewed by admins.
Figure controls
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The scan sweep illustrates the photo-search concept. It is not a working recognition system.
Parts labelled on the figure Top mount · Air spring · Damper
- Title
- Automotive parts marketplace, built toward photo-based part search.
- Status
- In development
- Type
- Marketplace platform
- Scope
- Listings · Sellers · Requests · Moderation
- Photo search
- Under evaluation
Property service — in use
PropTracker — property investment platform
A custom platform for tracking property acquisitions, investment costs, sale outcomes and deal evaluations. Shared financial calculations and role-based access replace fragile workbook workflows. A separate model service provides decision-support estimates.
Modules
- Properties and timelineEach property with its purchase, sale and a dated timeline of events.
- ExpensesRegistration, tax, legal and other costs recorded per property.
- Shared calculationsTotal invested, cost per square metre, profit and outstanding balance computed once, in tested code.
- Deal evaluationsCandidate deals assessed before purchase, with the decision and its reason kept.
- Model estimatesPrice per square metre, sale price, deal score, saleability, estimated days to sell and projected ROI from a separate model service.
Figure controls
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The building illustrates the subject of the platform, not the software itself.
- Title
- PropTracker
- Status
- In use
- Type
- Custom platform, built to order
- Location
- Khujand, Tajikistan
- Users
- Real estate investors
- Stack
- Next.js 14 · TypeScript · Tailwind CSS · Prisma · PostgreSQL · NextAuth.js · Recharts · FastAPI · scikit-learn
- Roles
- Admin · Viewer
- Document
- Read the PropTracker case study
How we work
Understand, design, build, launch.
The same four steps on every engagement, so you always know what comes next and what done looks like.
- Understand
We start with your process, data and constraints, not with a tool.
- Design
We agree on scope, architecture and what success looks like before building.
- Build
Work ships in small, reviewable steps you can test along the way.
- Launch
We deploy, document and hand over a system your team can run with confidence.
Principle and founder
“We believe technology should be engineered intentionally, not assembled thoughtlessly.”
This principle shapes how we approach automation, infrastructure, and product systems.
Long-term software for an intelligent operating layer.
Founder
Anushervon Niyozov
Founder-engineer building AI systems, backend infrastructure, and product infrastructure.