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.
New project slots open · Production in 2-4 weeks
We Build That Actually Ship
Production-grade AI SaaS, LLM 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.
Production stack for AI, SaaS, automation, and cross-platform apps
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.
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.
LLM Product Features
OpenAI, Claude, Gemini, RAG, agents, and semantic search built into real product workflows: UI/UX states, permissions, evals, latency, observability, and fallback paths included.
↗ Ships in 2–4 weeksAI SaaS Products
Multi-tenant SaaS products with product UI/UX flows, billing, RBAC, onboarding, analytics, CI/CD, and deployment built in from the first commit — not patched on after launch.
↗ Ships in 2–4 weeksCross-Platform Apps
Cross-platform apps for iOS, Android, web, and desktop — with product UX, real backends, auth, payments, analytics, and release workflows from day one.
↗ Ships in 2–4 weeksWorkflow Automation
n8n, Make, custom agents, and AI pipelines with usable review flows for operations that still depend on manual approval, copy-paste, spreadsheet cleanup, routing, or CRM updates.
↗ Ships in 2–4 weeksProduction Backends
Backend architecture, APIs, auth, permissions, queues, webhooks, databases, and deployment workflows connected to product UX where reliability and data integrity matter from day one.
↗ Custom scopeCodebase Rescue & Audit
Evidence-led audit for stalled, inherited, or risky codebases. You leave with keep/refactor/rebuild decisions, production blockers, recovery sequence, and the first stabilization targets.
↗ Audit + recovery planNot sure what fits? Plan your build or book a fit call.
Proof
Production results we've shipped
Production outcomes from anonymized client work: cost savings, revenue, throughput, active users, and systems still running after launch.
$380K
Saved per year in operational costs
A logistics company was spending too much on manual data entry. We built an AI workflow processing 10,000+ records/day at 99.2% accuracy — helping cut annual operational cost by $380K after a 3-week rollout.
$45K MRR
From zero to revenue in 5 months
A B2B SaaS founder needed a production-ready platform for paid customers: multi-tenancy, billing, onboarding, roles, analytics, and deployment. The product reached paying users in month two and $45K MRR within five months.
73%
Less time spent on document review
A legal tech team needed faster document review without losing attorney control. We built an AI-assisted review workflow with semantic search, source tracing, and human approval — reducing review time by 73%.
50K+
Active users across iOS, Android & web
A consumer startup needed a cross-platform product across mobile and web. We led the app architecture, backend integration, release workflow, and store submission through launch and scale to 50K+ active users.
8x
Throughput — same headcount
A logistics team had document processing queues blocking daily operations. We built an AI document pipeline with OCR, validation, routing, and exception review — increasing throughput 8x without adding headcount.
$2M+
Processed monthly — 3 years running
A fintech startup needed a production platform that could handle real money movement and long-term growth. We built the core product, backend, and cross-platform app experience — still processing $2M+ monthly three years later.
Want this kind of result for your build? Let's map the production path.
Ready to build?
Planning an AI SaaS, LLM 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.
Case Studies
What shipping actually looks like
Anonymized production builds with real architecture decisions, measurable outcomes, and the tradeoffs behind getting them live.
FinTech · AI UnderwritingFlagship
Cut loan-decision latency from 4.2s to 280ms
A Series-A lender was losing applicants at the processing screen. We rebuilt the AI underwriting workflow with parallel model calls, cached risk context, streaming responses, and a pre-check evaluator that filtered low-fit applications before expensive inference.
PythonOpenAIpgvectorFastAPIAWS
93%
Latency cut
2.3×
Completed applications
$18K/mo
Infra saved
6 wks
To production
HealthTech · RAG Platform
Built a HIPAA-compliant clinical RAG in 5 weeks
A healthcare startup needed clinicians to search patient-history PDFs without exposing PHI or breaking access rules. We built a clinical RAG assistant with document-level permissions, audit trails, PHI-aware chunking, SSO, and SOC 2-style logging from day one.
74%
Review time saved
12K
Docs indexed
99.96%
Uptime
5 wks
To production
Next.jsAnthropicPineconePostgresHIPAA
SaaS Rescue · Codebase Takeover
Salvaged a stalled $200K build in 3 weeks
A B2B SaaS team inherited a stalled codebase with broken workflows, missing docs, and no reliable test coverage. We audited what could be saved, rebuilt the billing and multi-tenant core, and turned the project back into a production-ready system in three weeks.
3 wks
To recovery
62%
Core rebuilt
0
P0 bugs in 90d
4.9★
Client rating
Node.jsReactStripeSupabaseVercel
Process
How we ship from idea to production
A focused delivery process for AI SaaS, LLM 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
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 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
"
I had the pleasure of working with Igor, and I can confidently say he is a highly reliable and skilled professional. He consistently delivers high-quality work, pays attention to details, and takes full ownership of his responsibilities. Igor is proactive, communicates clearly, and is always willing to go the extra mile to ensure the best outcome. His problem-solving skills and positive attitude make him a valuable contributor to any team. I would gladly recommend Igor to anyone looking for a dependable and results-driven developer.
Product Development Manager · LinkedIn recommendation
"How we choose the fastest safe path to production."
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 PoCMost popular
You're ready to ship a real product
Production Build
2–4 weeks · Fixed scope & price
End-to-end build for AI SaaS, LLM features, workflow automation, backend systems, cross-platform apps, or product UI/UX flows: product flow, UI/UX, architecture, implementation, testing, deployment, documentation, and post-launch support.
Scope a Production BuildYou 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 SupportFAQ
Questions we get before every production build
Direct answers about timelines, pricing, project scope, technical ownership, support, compliance, and how we work.
How long does it take to ship a production build?
Most focused builds ship in 2–4 weeks: AI SaaS features, workflow automation, production backends, UI/UX improvements, and cross-platform apps. Larger platforms with billing, multi-tenancy, compliance, or complex integrations usually take 6–10 weeks. We lock scope before development starts, so timelines stay realistic.
What does it cost to work with you?
Proofs of Concept start at $2,500 for a fixed 72-hour scope. Production builds are priced after we map product flow, UI/UX direction, architecture, integrations, risk, and timeline. Ongoing partnerships are monthly and custom to the roadmap. You get a clear fixed-scope proposal before development starts.
Do you work with non-technical founders?
Yes. We turn business goals into product flow, UI/UX direction, architecture, scope, and technical decisions you can understand. You do not need an in-house CTO to start. You need a senior partner who can explain tradeoffs clearly and ship the first production version.
What happens after launch? Who maintains the system?
Every production build includes post-launch support for fixes, monitoring, handoff, documentation, and the first real-user edge cases. After that, some teams move to an ongoing partnership for roadmap work, reliability, optimization, and new features. Over 70% of clients return for another engagement.
Can you take over an existing codebase or half-built project?
Yes. Codebase rescue is a common starting point. We audit the architecture, product flow, UI/UX friction, data model, integrations, tests, deployment, and what is blocking production. Then we decide what to refactor, rebuild, or leave alone — with a clear recovery plan, not a rewrite by default.
What tech stack do you use?
We choose the stack around the product, team, timeline, and risk profile.
AI: OpenAI, Anthropic, Gemini, open-source LLMs, RAG, agents, evals, pgvector, Pinecone, Qdrant.
Product and platform: Next.js, React, TypeScript, Node.js, Python, FastAPI, PostgreSQL, Supabase, Redis, AWS, Vercel, Docker.
Growth and operations: Stripe, Clerk/Auth0, HubSpot, Salesforce, PostHog, GA4, GTM, Meta CAPI, Resend, n8n, Make, Zapier.
The point is not to sell a preferred stack. It is to ship the simplest system that can survive real users.
AI: OpenAI, Anthropic, Gemini, open-source LLMs, RAG, agents, evals, pgvector, Pinecone, Qdrant.
Product and platform: Next.js, React, TypeScript, Node.js, Python, FastAPI, PostgreSQL, Supabase, Redis, AWS, Vercel, Docker.
Growth and operations: Stripe, Clerk/Auth0, HubSpot, Salesforce, PostHog, GA4, GTM, Meta CAPI, Resend, n8n, Make, Zapier.
The point is not to sell a preferred stack. It is to ship the simplest system that can survive real users.
Do you sign NDAs? Can you handle sensitive data?
Yes. We sign NDAs before technical discovery when needed. For FinTech, HealthTech, LegalTech, enterprise, and internal tools, we design around access control, audit trails, data minimization, logging, and compliance requirements such as SOC 2, HIPAA, and GDPR from the start.
What makes Novines different from a typical agency or freelancer?
Novines is a boutique AI SaaS and product engineering studio led directly by senior engineering. You get product flow, UI/UX direction, architecture, implementation, launch, and post-launch support in one accountable team — measured by shipped products, not billable hours.
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.