New project slots open · Production in 2-4 weeks

We Build AI SaaS Products That Actually Ship

Production-grade AI SaaS, LLM/RAG features, workflow automation, backend systems, cross-platform apps, and product UI/UX flows. Live in 2–4 weeks. No fragile prototypes. No disappearing after launch.

Technology and integration highlights across our product builds
★★★★★ 100% Job Success  ·  70%+ Repeat clients  ·  22+ Shipped products
Founder Video

From AI demo to production build

A short founder walkthrough on why AI demos fail under real users, what production-grade delivery looks like, and how we scope the fastest safe path to launch.

The Problem

Why most AI projects
fail before they reach users

Founders come to us when the build needs more than a prototype: clear architecture, production discipline, and a team that can carry it past launch.

The prototype-to-production gap

The demo looks convincing, but the codebase, product flow, and UX cannot handle real users, edge cases, permissions, billing, or support. What looked almost done turns into months of rebuild work.

AI products need systems thinking

The hard part is not a pretty interface. It is UI/UX, retrieval, auth, billing, data quality, observability, cost control, and failure handling working together under real load.

AI experiments break at the edges

The model can answer in a demo, but production needs evals, permissions, fallbacks, latency budgets, logging, and human review where the risk is too high.

We work like technical co-founders

We understand the business workflow, product UX, and architecture together. Since 2013, we've shipped across fintech, legal tech, logistics, healthcare, and e-commerce — and we stay close after launch when real users put the system under pressure.

Services

What we build

From AI product features to SaaS infrastructure, we build the systems that need to work under real users, real data, real product UX, and real business pressure.

Not sure what fits? Plan your build or book a fit call.

Production portfolio

Complex SaaS systems we've built and shipped

An AI companion with a path to paid use. Property automation with operator control. Music intelligence backed by evidence. Explore the product decisions, working interfaces, and engineering behind each build.

DearHim · AI Consumer ProductWeb + iOS

DearHim: an AI companion built for repeat use

We built the complete journey from a first relationship question to an ongoing AI companion: five free entry tools, conversations with memory, and paid plans with usage add-ons. Product design, acquisition, billing, and the native app were delivered as one connected system.

DearHim message decoder showing a structured interpretation and reply guidance at desktop width
DearHim authenticated Roster intelligence workspace at a 1024 by 768 tablet viewport
DearHim native iOS profile for the Trey companion running in an iPhone simulator
DearHim authenticated native iOS voice call with Kevin connected in an iPhone simulator

The build in numbers

Free entry tools
5
Useful first experiences that lead into the companion product.
Paid subscription tiers
3
Monthly and annual plans backed by shared entitlements.
Usage add-on categories
4
Voice, SMS, photos, and credits create additional purchase paths.
Conversation channels
3
Chat, realtime voice, and SMS connect to persistent context.
Read case study
Propty · Autonomous OperationsWeb
Propty authenticated integrations workspace at a desktop viewport
Propty authenticated AI autonomy controls at a 1024 by 768 landscape tablet viewport
Propty guided product demo entry rendered at a 390 by 844 mobile viewport
Propty customer service operations dashboard at a 390 by 844 mobile viewport

Propty: one control room for AI property operations

We built an operating layer that connects property enquiries, customer service, collections, and internal operations. Sixty-six specialist agent roles and more than 300 registered workflows share a control system for approvals, budgets, and operator oversight.

The build in numbers

Specialist agent roles
66
Customer operations and internal work share one governed runtime.
Registered workflows
334
Events, scheduled work, follow-ups, and monitoring run beyond chat.
Property-segment paths
9
Public entry journeys reflect different property businesses.
Autonomy modes
3
Execute, request approval, or recommend—under operator control.
Read case study
SoundScout · Music IntelligenceWeb
SoundScout for Labels A and R command center with a scored artist prediction and ranked next actions
SoundScout for Labels prediction evidence and decision cards at a tablet viewport
SoundScout live A and R artist score at a mobile viewport with confidence and source evidence
SoundScout prediction methodology at a mobile viewport showing pending accuracy, logged outcomes, and source coverage

SoundScout: music decisions backed by evidence

We built a music-intelligence platform for six buyer groups, with nine product modules on one data foundation. A registry of 34 sources connects artist research to evidence-linked recommendations, commercial access, and approval-controlled workflows.

The build in numbers

Registered data sources
34
Streaming, social, live, press, catalog, and derived evidence.
Buyer packages
6
Distinct offers for labels, managers, buyers, agents, brands, and sync.
Product modules
9
One platform supports multiple access-controlled customer workflows.
Signal dimensions
9
Research spans reach, engagement, momentum, live demand, and more.
Read case study
Ready to build?
Planning an AI SaaS, LLM/RAG feature, workflow automation, backend system, cross-platform app, or product UI/UX flow?Bring the idea, prototype, UI/UX flow, workflow, or codebase. We'll help you map the fastest safe path to a working product.
Process

How we ship from idea to production

A focused delivery process for AI SaaS, LLM/RAG features, workflow automation, backend systems, cross-platform apps, and product UI/UX flows — with product flow, UI/UX direction, architecture, milestones, launch, and support built in.

01
Day 1

Discovery & Fit

We map the product goal, user workflow, UI/UX expectations, business constraints, technical risks, and what production-ready needs to mean for your build.
02
Day 2–3

Architecture & Scope

You get the product flow, UI/UX direction, system design, delivery milestones, risk notes, fixed scope, and price before development starts — so there are no vague estimates or surprise pivots.
03
Week 1–4

Build, Test & Iterate

We build in focused milestones with async updates, working demos, UI/UX refinements, testing, instrumentation, and production decisions made as the product takes shape.
04
Week 4+

Launch & Support

We handle deployment, documentation, monitoring, handoff, and post-launch fixes — then stay available as real users create new data, edge cases, and roadmap decisions.

Have a build in mind? Start with a 30-minute scope call.

About

A studio built on
shipping, not proposing

Igor Nepipenko, Founder & Lead Engineer at Novines Software
Igor Nepipenko
Founder & Lead Engineer
13+ yrsAI SaaS studio100% Job Success
70%+
Repeat clients
22+
Shipped products
~3wks
Avg. to production
ngx-mask
Production-grade Angular input masking library
2M+
npm downloads / mo
"Every engagement is led directly by me — from scope and architecture to launch, support, and the decisions that matter after real users arrive."

Novines Software is a boutique AI SaaS and product engineering studio — small by design, precise by necessity. Every engagement is led directly by Igor Nepipenko, with 13+ years shipping production-grade AI SaaS, LLM/RAG features, workflow automation, backend systems, cross-platform apps, and product UI/UX flows across fintech, legal tech, logistics, healthcare, and e-commerce.

No account-manager layer, no junior handoff. You work directly with senior engineering across product flow, UI/UX direction, architecture, implementation, deployment, and the post-launch fixes that real systems always need.

Clients come back when the first build works. Over 70% return for another engagement — because trust is easier to earn through delivery than through proposals.

Production software shipped across industries
★★★★★  100% Job Success  ·  70%+ Repeat clients  ·  22+ Shipped products
Testimonials

What senior partners say about working together

LinkedIn recommendations from senior product and engineering leaders who have worked directly with Igor.

Collaboration

Ways to start a production build

Choose the starting point that matches your stage: validate the idea, ship the product, or bring senior engineering into the roadmap.

You have an idea, not yet a spec

Proof of Concept

From $2,500 · 72 hours · Fixed scope
We turn the idea into a working proof: product flow, UI/UX direction, technical approach, AI/automation feasibility, key risks, and the smallest useful build path. You leave knowing what is worth building next.
Start a PoC
You need senior engineering inside the roadmap

Ongoing Partnership

Custom · Monthly · Async-first
Ongoing product, UI/UX, and architecture support for teams shipping AI SaaS features, automation workflows, backends, or cross-platform apps: roadmap decisions, implementation, code review, reliability, and iteration after launch.
Discuss Ongoing Support
FAQ

Questions we get before every production build

Direct answers about timelines, pricing, project scope, technical ownership, support, compliance, and how we work.

Before we work together

We are not the right partner for every project

The best outcomes happen when expectations, scope, and ownership are clear from day one.

Want code without product, UI/UX, architecture, or delivery ownership
Choose vendors by the lowest rate instead of production outcomes
Expect launch without post-launch support, monitoring, or iteration

If that is not you, we should talk.

Ready to build?

Stop guessing.
Start shipping.

Tell us what you want to build, where the risk is, and what production needs to mean. We'll reply with the right starting point: PoC, production build, or ongoing support.