Why make custom web apps with Nexterse?
Our team builds custom web applications for companies across industries and regions. We choose the technology stack based on business logic, scale, integration constraints, and long-term support requirements.
We use our ADLC alongside the standard web development process. We define the use case, prepare the data and retrieval layer, set evaluation criteria, and add monitoring. This helps reduce rework and makes it easier to move AI features from PoC to production.
30% less time to market
with custom web development
25% reduction in project overhead
through web consulting
90% success in reviving stalled projects
through rescue missions
Custom web application development services
R&D & Analysis
Our R&D and business analysis team evaluates your business and ideas before launching development. We define the product scope, reduce market and technical risk, and prepare the system for future growth. If AI is part of the plan, we use ADLC from the start. We define where AI fits in the product, what data it can use, how results will be checked, and what controls the system needs before release.
- Validate the business case and product scope
- Choose the technology stack and integration approach
- Estimate cost, effort, and delivery stages
- Define the solution vision and release plan
- Map AI use cases, data flows, and guardrails through ADLC
- Reduce avoidable costs and late rework

UX/UI design
We follow a thorough web design approach focused on how people interact with websites, ensuring interfaces are not only user-friendly but also designed for targeted action. For AI features, we account for response states, approval steps, citation patterns, and user control.
- Research users, roles, workflows, and decision points
- Build information architecture, navigation logic, screen structure, and content hierarchy
- Create wireframes, prototypes, interface concepts, and design systems
- Design for desktop, tablet, mobile, and mixed-device use
- Shape AI interactions, review flows, fallback states, and user feedback patterns
- Refine usability through testing, iteration, observation, and product input

Frontend & Backend development
Our frontend and backend engineers build custom web applications for products ranging in complexity. We focus on stable architecture and maintainable code. When AI is required, we add model-facing services, retrieval flows, orchestration logic, and monitoring via an ADLC-based process.
- Integrate with third-party systems and internal platforms
- Process, store, analyze, and expose large volumes of data
- Enforce security across users, workflows, access rules, and data handling
- Keep interfaces accurate, responsive, stable, and fast
- Build scalable architecture for core logic, background jobs, AI services, and future growth
- Support modernization, refactoring, extension, and phased replacement of legacy parts

QA & Testing
Our QA team joins the project from day one. This lets us test the product as it is built and not after the main work is done. We cover functional quality, performance, security, and cross-device behavior. For AI-enabled features, we also test output quality, grounding, fallback behavior, and ADLC-defined monitoring rules.
- Improve product quality throughout development
- Keep the delivery progress visible and documented
- Automate repeatable test flows, regression checks, smoke tests, and release checks
- Reduce the risk of missed requirements, unstable releases, and hidden defects
- Test AI behavior against defined evaluation criteria and fallback paths
- Shorten release cycles through earlier defect detection and tighter feedback loops

Web applications we develop
We develop web applications tailored to specific business needs. We consider workflows, data structure, access rights, and integrations. If a project requires AI, we build it into the architecture from the start: we define scenarios, restrict data access, and establish quality criteria and control rules.
Enterprise web apps
We develop corporate web applications for internal operations and complex processes. These include ERP, CRM, HRM, billing systems, approval systems, and other tools that underpin a company's daily operations. We also add AI features when needed: internal assistants, corporate content search, document management, and automation of routine tasks based on roles and access rights.
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AI services integration
We integrate language models, retrieval, classifiers, and automation flows into web products where they support a defined business task.
AI integration into web appsZero-leakage security (RBAC)
We enforce role-based access control and strict data boundaries so users, services, and AI features only access what they are allowed to use.
LLM-ready microservices
We structure backend services so that AI components can be added or updated without disrupting the core application.
Web development process
We run SDLC and ADLC as one process, so the web app and its AI layer are scoped, designed, built, tested, and released together.
Research
- Interview stakeholders and review workflows
- Define goals, users, constraints, and AI scope
Discovery
- Set requirements, scope, milestones, and success criteria
- Outline architecture, data flows, ADLC checks, and release logic
Design
- Map key journeys and admin flows
- Design screens, response states, citations, and approvals
Programming
- Build frontend, backend, APIs, and integrations
- Add retrieval, model routing, monitoring, and controls
QA and evaluation
- Test logic, performance, security, and permissions
- Review output quality, grounding, fallback paths, and logs
Launch
- Prepare release, handover, monitoring, and support
- Deploy the product and track system health
Improvement
- Refine workflows and expand features
- Update prompts, retrieval rules, metrics, and guardrails
A well-structured development process is the foundation of successful software projects. By combining clear planning, an agile approach, and continuous early feedback from the Client, we ensure that every product we build perfectly aligns with business goals. Our approach minimizes risks, optimizes resources, and delivers high-quality applications on time and within budget.
Irina BaryshnayaUnit Coordinator / Head of PMOur recent works

Real estate platform maintenance and enhancement
A 5-year enhancement of a franchise property platform that brought ~30% more property enquiries through a website redesign and CoreLogic data integration โ without rebuilding the platform from the ground up.
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Graphical user interface for robot operation
A GUI that freed Dexai Robotics' restaurant staff from engineer dependency โ cutting robot setup time per shift by ~65% and reducing interaction errors by ~50% through real-time visual state monitoring and offline operation.
View More
Toyota custom ERP/CRM system
A custom ERP/CRM for Business Car Group โ Russia's largest Toyota and Lexus dealer network โ that replaced decade-old disjointed tools with a unified platform, cutting sales cycles by 30% across 20 dealer centers.
View More
AI-powered knowledge base for a global rights nonprofit
A Middle Eastern nonprofit working in cultural preservation needed a single searchable repository for fragmented research on ethnic minorities. We built a multilingual AI platform that now indexes 12,000+ artifacts across 18 countries.
View MoreQuick playbook: selecting a web development partner [pdf]
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Comprehensive multi-layer web security measures
Client security
- Signing NDA and SLA from the start
- Clear policies that secure your intellectual property
- Secure authentication and access control for internal systems
Data security
- Adherence to GDPR, HIPAA, SOC 2, ISO 27001
- AES-256 encryption at rest and TLS 1.2+ in transit
- Zero trust security model
- Automatic data backups and disaster recovery
Application security
- Automated continuous scanning for vulnerabilities
- Real-time DDoS & bot protection
- Compliance with OWASP's Top 10 guidelines
- Regular security patches and updates
Network security
- Firewalls & intrusion detection systems (IDS)
- Network segmentation for breach isolation
- Encrypted tunnels for secure remote access
- OAuth 2.0, JWT tokens, and API gateways
DevSecOps
- Automated security checks in CI/CD pipelines
- Best security practices and regular code reviews
- Safeguarding containerized apps against misconfigurations
- Logging & real-time security monitoring
Core tech stack we use

Web development engagement models
Depending on your business needs, project scope, and team structure, we offer three flexible cooperation models for our custom web application development services.
Outsourcing
This is a classic approach in which we take complete responsibility for the entire development process. Our project management team organizes the work for our designers, developers, QA specialists, and other team members. You act as a stakeholder who focuses on strategic goals, communicating with our business analysts on project and business requirements and with our project managers on the project status.
Industry-specific web development
We specialize in developing multi-integrated, easily customizable, and fully controllable custom web software. Where the use case supports it, we add AI for search, classification, and forecasting.
E-learning
We build e-learning portals, LMS platforms, knowledge systems, and content management tools. AI can support learner assistance, document search, content tagging, and Q&A over internal materials.
Edtech web developmentE-commerce & Retail
We develop commerce platforms, catalog systems, inventory tools, and order management applications. AI can support product discovery, pricing analysis, support workflows, and demand forecasting.
E-commerce developmentTransport & Logistics
We build web applications for freight booking, warehouse operations, fleet management, and delivery control. AI can help with route planning, exception handling, document processing, and demand prediction.
Logistics web developmentMarketing Automation
We develop marketing platforms for campaign management, audience segmentation, reporting, and analytics. AI can support content classification, lead routing, performance analysis, and customer insights.
MarTech developmentHealthcare & Lifestyle
We build secure web applications for patient services, records management, medical inventory, and internal workflows. Where policy allows, AI can support document intake, search, triage, and staff knowledge access.
Healthcare web developmentFintech
We build secure web applications for payments, compliance, risk control, and operational workflows. AI can support investigations, document review, transaction analysis, and internal knowledge retrieval.
Fintech web developmentOur web development approach
We run custom web application development through a structured process that covers scope, team setup, cost control, and post-launch support. When AI is part of the product, we extend SDLC with ADLC, so use case design, data preparation, evaluation, and rollout are handled inside the same process.
Project scoping
We define product goals, business requirements, AI scope, and delivery boundaries before development starts.
- Run stakeholder interviews and workshops
- Document user flows, business rules, integration points, and success metrics
- Define where AI fits in the product and where deterministic logic should stay in control
- Prepare a roadmap with milestones, release scope, dependencies, and priorities
Awards& Recognitions
Frequently asked questions
Most teams can build a web interface and connect it to an API. The harder part is designing the backend, data flow, permissions, monitoring, and rollout model so AI features strengthen the product. We handle the web platform and the AI layer together.
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