How Much Will Your Software Project Cost?

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Pricing Models We Rely On

INNERLUXES offers flexible pricing models tailored to the cooperation scope and your budget: time and materials (T&M), T&M with a cap, fixed-price, subscription-based, per-ticket, or mixed models. We select the optimal model for each case, keeping the cost structure transparent from day one.

Check Our Sample Estimates

The estimates below are not INNERLUXES' official pricing. We assess each project individually, based on your specific situation and needs.

Software development cost ranges

  • $30,000–$70,000 A cross-platform mobile app of moderate complexity.
  • $150,000–$250,000 A native mobile app for a regulated sector (e.g., m-banking, telehealth).
  • $200,000–$600,000 A specialized business solution of average complexity.
  • $800,000–$4,000,000 A large-scale process automation system powered by advanced tech (AI/ML, big data, IoT, blockchain, etc.).

Managed IT service prices

  • $14–$40 per ticket L1–L2 IT support.
  • $3,000–$16,000+/month Software maintenance and L3 support.

QA, security and compliance costs

  • $5,000–$10,000 One-time penetration testing of a client-facing app.
  • $5,000–$20,000 Compliance pre-audit (HIPAA, PCI DSS, GDPR, etc.).
  • $20,000 Infrastructure security testing for a midsized organization.

Data and AI service costs

  • $30,000–$200,000 Developing a separate data science / AI component.
  • $70,000–$200,000 A data analytics solution with basic capabilities.
  • $600,000–$1,500,000+ An enterprise-level analytics system powered by big data and AI/ML.

How We Optimize Costs

Across our services, we continuously look for opportunities to accelerate execution and eliminate unnecessary costs without compromising quality.

Applying AI where it delivers measurable value

When approved by the client, INNERLUXES selectively applies AI across the delivery lifecycle — which can double productivity on routine coding, cut code review time by up to 40%, and reduce effort for the same scope by 30–70%. Qualified specialists review all AI outputs, and clients can require a strict no-AI policy.

Automating repetitive work

We automate development, deployment, and infrastructure using CI/CD, Infrastructure as Code, and automated testing — reducing release preparation effort by 50–80%.

Rightsizing technical decisions

We look for the leanest technical setup that meets your objectives — regularly reducing cloud infrastructure costs by 20–70% without compromising performance.

Reusing proven solutions

We leverage proven architectures, accelerators, and delivery practices refined across thousands of projects — reducing implementation effort by up to 40% for common requirements.

Eliminating low-value requirements

Comprehensive discovery helps us eliminate 15–25% of the initially requested scope without affecting outcomes, cutting development costs by up to 50%.

Preventing scope creep

Our project managers continuously monitor budget, scope, and risk, so spending stays focused on the initiatives that deliver the greatest business value.

Optimizing team composition

We assemble teams by solution complexity and project stage — senior architects focus on critical decisions while implementation is distributed across appropriately skilled members.

Applying lean delivery practices

We apply pragmatic frameworks that preserve discipline and quality while eliminating activities that consume time without improving outcomes.

Why Companies Choose INNERLUXES

  • in IT services and custom software development.
  • A high-performing team of 132+ IT professionals — engineers, architects, data scientists, QA, DevOps, and security specialists.
  • Over 68 delivered projects across 30+ industries.
  • quality and information-security standards for quality and security.
  • Delivery ~60% faster than the industry average, with transparent, fixed pricing.

What Our Clients Say about INNERLUXES

AI Health Scan
StarStarStarStarStar

Our idea was ambitious — AI facial and skin analysis on a phone — and INNERLUXES made it real, on schedule and on budget. They turned a hard AI concept into a working product.

HealthPilot
StarStarStarStarStar

Privacy-first meant everything runs on the phone. INNERLUXES engineered the entire on-device AI coach cost-effectively — a genuinely hard problem, handled quietly. They delivered exactly what we scoped.