Custom SaaS Development

YOUR ADVANTAGE. 

BuilT INTO Saas.

Neologic Custom Software is a Chicago-based boutique development company for complex B2B, vertical, and AI-enabled SaaS. I’m Dmitriy Fridlyand. I lead product discovery and architecture personally, backed by a global team of 30+ senior engineers. Together, we turn domain expertise, validated MVPs, and established products into production SaaS with a build budget guaranteed once the scope is approved.

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★★★★★

44 reviews

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Your saas stage

Who Is Custom SaaS Development For?

Custom SaaS development makes sense when you bring something hard to copy: domain knowledge, proprietary workflows or data, a validated product, or an AI capability that does real work.

You Know the Problem

But Need the Product Architecture

You know the industry, workflow, or AI opportunity. I help turn that advantage into a focused product, identify the essential first release, and remove features that do not strengthen the business case.

Your MVP Works

But Now it Needs to Scale

You proved that people want the product. Now we assess the codebase, data model, security, and infrastructure to determine what can support the next stage and what will become a liability.

Your SaaS Hit A Limit

Now the Architecture Has to Catch Up

You already have users, data, and a working product. I help modernize the architecture, remove back-end bottlenecks, and integrate AI where it can automate real work.

Not every SaaS idea is worth building.

I’ll help you identify what is worth building before serious engineering spend begins.

services

What Custom SaaS Development Services Do We Provide?

Neologic supports the full SaaS product lifecycle: from defining the first release to modernizing and scaling an established platform.

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SaaS Product Strategy

I help you define the product around the user problem, business model, competitive advantage, and technical constraints. The result is a prioritized product direction that engineering can execute.

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AI SaaS Development

I identify where AI can create real product value. We build AI-first SaaS, agents, RAG, proprietary-data search, predictive features, and AI-assisted workflows into the architecture instead of bolting them on later.

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SaaS MVP Development

We define and build the smallest release that can test the product with real users. The goal is a focused MVP that proves the business case without creating disposable software that has to be rebuilt once it succeeds.

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MVP-to-Production Engineering

A working MVP can prove demand without being ready for production. I assess what can stay and what will become a liability; my team refactors or rebuilds weak areas into secure, maintainable SaaS that can support real customers.

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Multi-Tenant SaaS Architecture

When multiple customer organizations share one product, we build the systems that keep them separate: tenant isolation, provisioning, roles and permissions, subscriptions, billing, usage metering, account management, and administration.

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SaaS Backend Scaling

I identify the bottlenecks before adding infrastructure. We scale databases, APIs, queues, caching, background processing, cloud infrastructure, monitoring, data pipelines, and AI workloads around the traffic and reliability the product actually needs.

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SaaS API Development

We build secure APIs and integrations with payments, CRM, ERP, identity providers, communications, analytics, partner systems, and AI services, connecting the product to the tools it depends on without creating a fragile chain of dependencies.

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SaaS Security & Compliance

I surface security and compliance risks early. We build authentication, RBAC, tenant isolation, audit trails, data controls, and architecture for HIPAA-sensitive products and SOC 2 readiness, including strict control over what AI systems can access.

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SaaS Modernization

I help identify what is actually limiting an established SaaS product. We modernize architecture, infrastructure, data, security, and performance, also adding AI or agents where necessary.

AI saaS

What Does AI SaaS Development Include?

Practical AI starts with the work the product needs to do, then uses AI only where it improves the workflow, economics, or customer experience.

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AI-Integrated SaaS

AI improves specific workflows such as search, summarization, extraction, classification, drafting, recommendations, decision support, and automation.

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AI-First and AI-Native SaaS

AI is central to the product itself, so the workflows, data layer, UX, and architecture are designed around it from the start.

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Agentic SaaS and Workflow Automation
AI agents use approved context and tools to complete multi-step work, update connected systems, and route exceptions to people when human judgment or authorization is required.

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AI Search, RAG, and Proprietary Data
We build AI systems that work with customer documents and operational data while keeping tenant data isolated and access tightly controlled.

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Production-Ready AI SaaS Architecture
Production AI requires more than a model connection. We design model routing, evaluation, monitoring, human approval, usage and cost controls, fallbacks, and failure recovery around the product’s reliability requirements.

SAAS TYPES

What Types of SaaS Products Do We Build?

The strongest SaaS products solve work that is difficult to commoditize: industry-specific workflows, complex operations, proprietary data, regulated processes, or work AI can now perform itself.

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Vertical SaaS & Vertical AI

Products built around the workflows, data, rules, and terminology of a specific industry, from healthcare and compliance to legal, education, logistics, and other specialized markets.

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AI-Native & Agentic SaaS

Products in which AI is central to the customer value proposition, whether it analyzes proprietary information, coordinates tools, makes recommendations, or completes defined work.

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B2B Workflow SaaS

Platforms that run core business processes such as onboarding, scheduling, compliance, billing, approvals, case management, and field operations.

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SaaS for Regulated Industries

Software designed for sensitive environments where permissions, audit trails, data controls, security, and compliance must be built into the architecture.

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Multi-Sided Platforms & Marketplaces

Platforms that coordinate multiple groups with different roles, permissions, workflows, data, transactions, and incentives inside one product.

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Service-as-Software

AI-powered products that perform the work itself: reviewing documents, reconciling transactions, qualifying leads, or processing claims and deliver the result instead of just the tool.

THE PROCESS

What Is My SaaS Development Process?

The process resolves product and technical unknowns in stages, so each major commitment is based on evidence from the step before it.

DIRECTION CONFIRMED

PRODUCT & ARCHITECTURE MAPPED

SCOPE & BUDGET LOCKED

PRODUCTION BUILD

LAUNCH & SCALE

01

PRoduct fit call

I start with where the product is today: an idea, prototype, live SaaS platform, or a build that has gone off track. I look at the users, business model, product goals, current technology, AI needs, budget, and biggest unknowns.

deliverable

A clear technical diagnosis and immediate next steps.

saaS case studies

Can We Build SaaS at Scale?

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Educational SaaS Scaled to 75,000+ Athletes

PLT4M had a proven fitness methodology, but the product lived in thousands of Excel sheets. I architected a cloud-native, multi-tenant SaaS platform; my team built it for nationwide delivery, real-time athlete data, and peak school-season load.

700+

Scaled to 700+ schools and 75,000+ athletes globally.

6,500+

Empowered 6,500+ coaches to ditch manual tracking entirely.

0

Achieved zero downtime under massive load during peak school seasons.

fitness & Educaiton

Saas

Multi-Tenant Architecture

Cloud Platform

Mobile App

modern, enterprise grade

WHAT IS OUR SAAS TECHNOLOGY STACK?

We select production-proven technologies around the product’s security, scalability, integration, data, and AI requirements.

Front-End

saas dashboards

customer portals

React JS
Vue.js
Angular
Tailwind CSS

Backend

MULTI-TENANT Architecture

Secure APIs

Enterprise Scalability

Node JS
Python
.NET
Laravel

Databases

tenant data isolation

search & flexibility

PostgreSQL
MySQL
mongoDB

Cloud & Infrastructure

cloud-native development

ci/cd Automation

MONITORING & SECURITY

Amazon Web Services
Google Cloud
Azure
Docker
CI/CD

AI

RAG & AGENTS

PRIVATE DATA CONTROL

PRODUCTION AI WORKFLOWS

Open AI
Claude
LangChain
Pinecone
Weaviate

AI-Assisted Coding

ACCELERATED DEVELOPMENT

LOWER DEV OVERHEAD

SENIOR ENGINEER REVIEW

Cursor
Windsurf AI
Claude
GitHub Copilot

Local vs remote vs hybrid

Should You Hire a Local, Remote, or Hybrid SaaS Development Company?

The real decision is not just local vs remote. It is where product understanding, technical accountability, and execution capacity come from.

local Model

  • Easier face-to-face collaboration
  • Strong for early discovery and workshops
  • Usually limited by a smaller talent pool

remote Model

  • Broader access to specialists
  • Often more flexible and cost-efficient
  • Can feel distant if discovery and accountability are weak

neologic hybrid Model

  • Chicago-led discovery, architecture, and client collaboration
  • A global team of 30+ senior engineers providing specialist expertise and delivery capacity
  • One accountable technical leader from product definition through launch

THE NEOLOGIC ADVANTAGE

Local product leadership. Global engineering capacity.

Estimated Pricing

How Much Does Custom SaaS Development Cost?

Custom SaaS development with Neologic starts around $40K for a focused MVP. More complex B2B and regulated platforms generally start around $75K and $125K respectively.

SaaS MVP

From $40k

A focused first release built to validate the product with real users.

1 CORE WORKFLOW

1–2 USER ROLES

1-2 INTEGRATIONS

basic admin

BASIC MULTI-TENANCY

Best fit: A validated idea ready for its first real users.

B2B SaaS Platform

From $75k

A production SaaS platform built around complex workflows, multiple users, integrations, and automation.

COMPLEX ROLES

MULTI-TENANCY

BILLING & USAGE

BUSINESS SYSTEM INTEGRATIONS

Best fit: SaaS that runs a meaningful part of a customer’s operation.

Regulated Healthcare SaaS

From $125k

A secure SaaS platform where sensitive data, auditability, and compliance shape the architecture from day one.

HIPAA-SENSITIVE DATA

AUDIT TRAILS

GRANULAR ACCESS

HEALTHCARE INTEGRATIONS

Best fit: Healthcare SaaS where failure creates operational or compliance risk.

Engagement model

HOW DOES THE SAAS BUDGET GUARANTEE WORK?

Once the scope is approved, I take the estimation risk, not you.

GUARANTEED BUILD PRICE

Once the scope and acceptance criteria are approved, I guarantee the build price in writing. If my team underestimates the work required to deliver it, you do not pay more.


  • Approved features and workflows
  • Agreed architecture and integrations
  • Engineering required to meet the acceptance criteria
  • Our estimation overruns

PRICED SEPARATELY

The guarantee applies to the agreed build, not to work added later or costs charged by outside vendors. If you want to expand the scope, I price it before my team proceeds.


  • Added or materially revised scope
  • Cloud and hosting
  • AI/model usage
  • Third-party licenses and transaction fees

Added scope can change the price. My estimation mistakes do not.

domain knowledge

Which Industries Do We Know Best?

You do not need developers who know every industry. You need a team that understands the rules, workflows, and risks your SaaS product cannot afford to get wrong.

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Healthcare

We build healthcare software around HIPAA-sensitive data, caregiver operations, field workflows, compliance, billing, and complex permissions.


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Legal Services

We build legal software for specialized workflows including intake, case management, document automation, and proprietary business logic.


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Education & Fitness

We build education and fitness platforms that connect administrators, instructors, and end users through scalable content, progress tracking, reporting, and multi-user workflows.

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Real Estate & PropTech

We build real estate SaaS around property data, document-heavy workflows, multiple user roles, payments, and market-specific business rules.



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Logistics & Transportation

We build software for dispatch, tracking, mobile field workflows, API integrations, scheduling, and real-time operational visibility.


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Cybersecurity

We build cybersecurity software that turns technical activity into verifiable reporting, compliance evidence, audit trails, and client-facing proof of work.

Dmitriy Fridlyand

FOUNDER · CHICAGO

Product first. Engineering second. Since 2008.

Why hire us

Why Hire Neologic Custom Software for SaaS Development?

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One Accountable Architect

I stay involved from product discovery through launch. No account manager sits between you and the person responsible for the architecture.

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Deep Product Discovery

I work through the users, workflows, business rules, data, integrations, and technical risks before my team commits serious engineering time.

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Guaranteed Build Budget

Once the product, architecture, and scope are clear, I guarantee the build price in writing. If I underestimate the work inside the approved scope, you do not pay for my mistake.

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Hybrid Delivery

Product leadership and accountability stay with me in Chicago. My global team of 30+ senior engineers gives the build the specialist capacity it needs.

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Practical AI

We use AI where it improves the product or removes meaningful work, whether that means one focused workflow, proprietary-data RAG, agents, or an AI-first product.

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100% Ownership

You own the code, IP, and infrastructure. No vendor lock-in.

faq

Frequently Asked Questions

  • How much does custom SaaS development cost?

    Neologic custom SaaS development starts around $40K for a focused MVP. More complex B2B platforms commonly start around $75K, while regulated healthcare SaaS typically starts around $125K. Final pricing depends on the product’s workflows, roles, integrations, multi-tenancy, AI, security, and compliance requirements.

  • How long does it take to build a SaaS product?

    It depends on how much of the product is already understood. A focused MVP may take a few weeks. A larger B2B or regulated SaaS platform can take significantly longer. I use product discovery and prototyping to establish a realistic schedule before the production build begins.

  • Do you work with non-technical SaaS founders?

    Yes. You can arrive with domain expertise, a business model, and a clear user problem rather than technical specifications. I turn that knowledge into a product plan and challenge assumptions that add cost without strengthening the product.

  • What is the difference between an MVP and production-ready SaaS?

    An MVP proves whether the product is worth pursuing. Production SaaS has to survive real users, real data, security requirements, integrations, failures, and growth. The goal is to build the smallest useful first release without creating software that has to be thrown away once it succeeds.

  • Can you turn an AI-generated, low-code, or early MVP into production software?

    Yes, when the underlying product is worth keeping. I first assess whether the current code and architecture can support the intended product. We preserve what is sound and refactor or rebuild only the areas that create unacceptable production risk.

  • Can you add AI to an existing SaaS product?

    Yes. We add AI when it can measurably improve a workflow or product capability, for example search, extraction, recommendations, automation, RAG, agents, or predictive workflows. The use case comes first; the model and architecture follow.

  • How do you handle multi-tenant SaaS architecture?

    We design the platform so multiple customers can use the same product while keeping their data, permissions, workflows, and AI context properly isolated. Depending on the product, that can include tenant-aware databases, RBAC, billing, usage metering, audit trails, integrations, and separate AI retrieval contexts.

  • How does the SaaS budget guarantee work?

    Once the product requirements, architecture, acceptance criteria, and approved scope are clear, I guarantee the engineering price in writing. If we underestimate the work required to deliver that scope, you do not pay for our estimation error. New or materially changed requirements are priced separately before implementation.

  • Should I hire a local or remote SaaS development company?

    Neologic uses a hybrid model: I lead discovery, architecture, and major technical decisions from Chicago, while our global team of 30+ senior engineers provides specialist expertise and delivery capacity.

  • What happens after the SaaS product launches?

    After launch, we can monitor production, resolve issues, improve performance, and plan future releases around actual user behavior and business priorities. You can continue with Neologic or transition the product elsewhere because you own the code and infrastructure.

  • Do I own the SaaS source code and IP?

    Yes. You own the source code, product IP, data, and infrastructure associated with your build. No vendor lock-in.

get started

BUILD THE RIGHT SAAS. NOT JUST MORE SOFTWARE.

Tell me what you are building, where it stands today, and what is creating uncertainty. I’ll help you determine the most sensible next step.