Custom cloud development for scalable, AI-ready products

Nexterse designs, migrates, and builds cloud platforms that scale with demand, stay secure, and are ready for AI. We architect cloud-native systems, move legacy workloads to AWS, Azure, or Google Cloud, and prepare your data and infrastructure for copilots, retrieval, automation, and model-driven features.

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ToyotaDexaiBeiersdorfClimeCoTL NikaSMI

Why build on the cloud with Nexterse?

Our team builds and migrates cloud platforms for companies across industries and regions. We choose the cloud model and services based on business logic, scale, compliance constraints, and long-term run cost.
We use our ADLC alongside a well-architected cloud process. We define the workload, prepare the data and infrastructure, set evaluation and cost criteria, and add monitoring. This reduces rework and makes it easier to move AI features from PoC to production.

less time to market

30% less time to market
with cloud-native development

lower infrastructure cost

40% lower infrastructure cost
through cloud optimization & FinOps

uptime and availability

99.9% uptime and availability
with resilient cloud architecture

Cloud development services

Cloud consulting & assessment

Our cloud architects assess your current infrastructure, applications, and goals before any migration or build starts. We define the target cloud strategy, estimate total cost of ownership, and identify the workloads that benefit most from the cloud. If AI is part of the plan, we map where managed AI services and data pipelines fit into the architecture from day one.

  • Assess current infrastructure, workloads, and dependencies
  • Choose the right cloud model โ€” public, private, hybrid, or multi-cloud
  • Estimate migration effort, TCO, and expected savings
  • Define the target architecture and cloud landing zone
  • Map AI and data services into the cloud roadmap
  • Reduce avoidable rework and lock-in risk
Cloud consulting โ†’
Cloud consulting & assessment

Cloud architecture & migration

We design well-architected cloud environments and migrate your applications and data with minimal disruption. We follow proven patterns for reliability, security, performance, and cost, and choose the right migration approach for each workload โ€” rehost, replatform, or refactor. For AI features, we account for data residency, managed model endpoints, and controlled access.

  • Design landing zones, networking, and account structure
  • Plan rehost, replatform, refactor, or re-architect per workload
  • Migrate applications, databases, and storage with validation
  • Design for high availability, disaster recovery, and multi-region
  • Set up identity, access, and secure network boundaries
  • Preserve business continuity throughout the migration
Cloud migration services โ†’
Cloud architecture & migration

Cloud-native development

Our engineers build cloud-native applications using containers, microservices, and serverless where they fit. We focus on scalable architecture, automated infrastructure, and maintainable code. When AI is required, we add model-facing services, retrieval flows, and monitoring through managed cloud AI platforms.

  • Build with containers (Docker, Kubernetes) and serverless functions
  • Design microservices, event-driven, and API-first architectures
  • Automate infrastructure as code (Terraform, CloudFormation)
  • Process, store, and expose large volumes of data at scale
  • Integrate managed databases, queues, caches, and AI services
  • Keep systems elastic, resilient, and cost-aware under load
Cloud-native development โ†’
Cloud-native development

Cloud DevOps, security & QA

Our DevOps and QA teams join the project from day one. We build CI/CD pipelines, automated testing, and observability so releases stay fast and safe. We cover functional quality, performance, security, and cost. For AI-enabled features, we also test output quality, grounding, fallback behavior, and monitoring rules.

  • Build CI/CD pipelines and automated deployments
  • Add monitoring, logging, tracing, and alerting (observability)
  • Run performance, load, security, and resilience testing
  • Embed security scanning and compliance into pipelines (DevSecOps)
  • Apply FinOps practices to keep cloud spend under control
  • Shorten release cycles through earlier defect detection
Cloud DevOps services โ†’
Cloud DevOps, security & QA

Cloud solutions we build

We build cloud solutions tailored to specific business needs. We consider workloads, data structure, access rights, compliance, 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, cost, and control rules.

Cloud migration & modernization

We migrate on-premise and legacy applications to AWS, Azure, or Google Cloud with a workload-by-workload strategy. We rehost, replatform, or refactor based on business value and risk, modernize data stores, and re-architect toward managed services. The result is lower infrastructure cost, better scalability, and a foundation ready for automation and AI.

Cloud migration services

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Cloud AI & ML services

Cloud AI & ML services

We integrate managed cloud AI โ€” language models, retrieval, classifiers, and automation flows โ€” into products where they support a defined business task.

AI integration on the cloud
Zero-leakage security (RBAC)

Zero-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.

Cloud-native microservices

Cloud-native microservices

We structure services so components โ€” including AI โ€” can be added, scaled, or updated independently without disrupting the core platform.

Cloud development process

We run SDLC and ADLC as one process, so the cloud platform and its AI layer are scoped, designed, built, migrated, tested, and released together.

1

Assessment

  • Review current infrastructure, workloads, and dependencies
  • Define goals, constraints, compliance needs, and cloud scope
2

Architecture & planning

  • Set target architecture, landing zone, and migration approach
  • Outline networking, security, data flows, and release logic
3

Design

  • Design services, data stores, and integration boundaries
  • Define scaling, resilience, and disaster-recovery patterns
4

Build & migrate

  • Build cloud-native services, APIs, and infrastructure as code
  • Migrate applications and data with validation and rollback paths
5

Testing & security

  • Test performance, resilience, security, and permissions
  • Run load, failover, and compliance checks before release
6

Deployment

  • Automate CI/CD, blue-green or canary releases, and monitoring
  • Cut over workloads and track system health and cost
7

Optimization & FinOps

  • Right-size resources and tune autoscaling and storage tiers
  • Track spend, set budgets, and continuously reduce cloud cost
โ€œโ€œ
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 BaryshnayaIrina BaryshnayaUnit Coordinator / Head of PM

Our recent works

Real Estate Platform
Real Estate Platform

Cloud migration and enhancement of a property platform

A 5-year enhancement and cloud migration of a franchise property platform that brought ~30% more property enquiries through a redesign and CoreLogic data integration โ€“ without rebuilding the platform from the ground up.

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  • Enterprise
Dexai Robotics
Dexai Robotics

Cloud control interface for robot operation

A cloud-connected control platform 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 state monitoring and offline-capable edge sync.

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  • IoT
  • Startups
Toyota ERP/CRM
Toyota ERP/CRM

Cloud ERP/CRM platform for Toyota dealers

A cloud-hosted 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, scalable platform, cutting sales cycles by 30% across 20 dealer centers.

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  • Enterprise
AI Knowledge Base
AI Knowledge Base

Cloud-native AI knowledge base for a global nonprofit

A Middle Eastern nonprofit working in cultural preservation needed a single searchable repository for fragmented research. We built a multilingual, cloud-native AI platform that now indexes 12,000+ artifacts across 18 countries with elastic scaling.

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  • AI inside
  • Enterprise

Dave Alce

COO

From the early stages of the project, Nexterse LLC demonstrated a proactive attitude, actively seeking opportunities to enhance the solution and anticipate our needs. They consistently took the initiative to address any potential issues, provide timely updates, and offer solutions to challenges that arose during development. This proactiveness greatly contributed to the project's success and exceeded our expectations.

Alexander McCaig

Alexander McCaig

Co-Founder & CEO, Tartle

The system has produced a significant competitive advantage in the industry thanks to Nexterse LLC's well-thought opinions. They shouldered the burden of constantly updating a project management tool with a high level of detail and were committed to producing the best possible solution.

Andrey Kubka

Andrey Kubka

Product Technology Manager, Mediatron

Nectarin LLC aimed to develop a complex Ruby on Rails-based platform, which would be closely integrated with such systems as Google AdWords, Yandex Direct and Google Analytics.

Benjamin Dorsinvil

Benjamin Dorsinvil

Founder, SellBig

I was impressed by Nexterse LLC's prices, especially for the project I wanted to do and in comparison to the quotes I received from a lot of other companies. Also, their communication skills were great; it never felt like a long-distance project. It felt like Nexterse LLC was working next door because their project manager was always keeping me updated.

Damian Gevertz

Damian Gevertz

Founder & CEO, Widgety

We tried another company that one of our partners had used but they didn't work out. I feel that Nexterse LLC does a better investigation of what we're asking for. They tell us how they plan to do a task and ask if that works for us. We chose them because their method worked with us.

Domien Van Eynde

Domien Van Eynde

Team Lead, Daiokan.com

Nexterse LLC is the firm to work with if you want to keep up to high standards. The professional workflows they stick to result in exceptional quality. Importantly, they help you think with the business logic of your application and they don't blindly follow what you are saying. Which is super important. Overall, great skills, good communication, and happy with the results so far.

Katerina Bromberg

Katerina Bromberg

Co-Founder, MyMediAds.com

Together with the team, we have turned the MVP version of the service into a modern full-featured platform for online marketers. We are very satisfied with the work the Nexterse LLC team has performed, and we would like to highlight the high level of technical expertise, coherence and efficiency of communication and flexibility in work. We can confidently say that Nexterse LLC has put all our ideas into practice.

Maria Duyunova

Maria Duyunova

Director, Simplimagine LLC

We are absolutely convinced that cooperation between companies is only successful when based on effective teamwork. But the teams may vary on the degree of their cohesion.

Michael Karbushev

Michael Karbushev

Senior Director of Engineering, Evolv

They are very sharp and have a high-quality team. I expect quality from people, and they have the kind of team I can work with. They were upfront about everything that needed to be done. I appreciated that the cost of the project turned out to be smaller than what we expected because they made some very good suggestions. They are very pleasant to work with.

Paul S. Chun

Paul S. Chun

CTO, Rivalfox GmbH

Rivalfox had the pleasure to work with Nexterse LLC in building out core portions of our product, and the results really couldn't have been better. Nexterse LLC provided us with engineering expertise, enthusiasm and great people that were focused on creating quality features quickly.

Pratasevich Ivan

Chief Executive Officer, Ivanco-Media LLC

We'd like to thank Nexterse LLC for the exceptional technical services provided for our business. It should be noted that we started our project's development with another team, but the communication and the development process in general were not transparent and on schedule. It resulted in a low-quality final product.

Yevgeniy Rozenblat

Yevgeniy Rozenblat

Program Manager, TL Nika

Nexterse LLC succeeded in building a more manageable solution that is much easier to maintain.

Yuriy Semenchuk

Yuriy Semenchuk

General Director, Business Car

When looking for a strategic IT-partner for the development of a corporate ERP solution, we chose Nexterse LLC. The company proved itself a reliable provider of IT services.

Yury Haverman

Founder, BoxForward

Thanks to Nexterse LLC's can-do attitude, amazing work ethic, and willingness to tackle clients' problems as their own, they've become an integral part of our team. We've been truly impressed with their professionalism and performance and continue to work with the team on developing new applications. We are completely satisfied with the results of our cooperation and will be happy to recommend Nexterse LLC as a reliable and competent partner for development of web-based solutions.

Alex Phelps

Alex Phelps

CEO

We've been working with Nexterse LLC for a few years, starting from the initial monitoring system, so they already understood our environment quite well. At the same time, they still managed to surprise us with their professionalism.

Dillon Christensen

Dillon Christensen

CEO

We'd like to sincerely thank Nexterse LLC for the work they've done on our maintenance system. At one point, our maintenance efforts became inefficient โ€“ long downtimes and rising repair costs became the norm.

Erica Lindsay

Erica Lindsay

Manager

We had already invested in AI, but the output was unclear. There were multiple initiatives across the company, each showing some promise, but no clear way to evaluate them or connect them to business outcomes.

Paul Fardoe

Paul Fardoe

Director

Nexterse LLC is flexible, efficient, and extremely good at planning and being proactive. They have also been very proactive in their approach throughout the project, seeking to understand the needs and the reasons behind them before launching into development, which has been helpful for maintaining direction and consistency.

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Comprehensive multi-layer cloud security measures

Client security

Client security

  • Signing NDA and SLA from the start
  • Clear policies that secure your intellectual property
  • Secure authentication and access control for cloud accounts
Data security

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
  • Automated backups, snapshots, and disaster recovery
Application security

Application security

  • Automated continuous scanning for vulnerabilities
  • Real-time DDoS & bot protection (WAF)
  • Compliance with OWASP's Top 10 guidelines
  • Regular security patches and automated updates
Cloud network security

Cloud network security

  • VPCs, security groups, firewalls, and intrusion detection
  • Network segmentation and private subnets for isolation
  • Encrypted tunnels and VPN for secure remote access
  • OAuth 2.0, JWT tokens, and API gateways
DevSecOps

DevSecOps

  • Automated security checks in CI/CD pipelines
  • Infrastructure-as-code scanning and policy as code
  • Safeguarding containerized workloads against misconfigurations
  • Centralized logging & real-time security monitoring

Core tech stack we use

Backend & cloud services
Java.NETNode.jsPythonPostgreSQLMongoDBAWSMicrosoft AzureGoogle CloudDocker
Frontend & interfaces
ReactAngularVue.jsNext.jsTypeScriptReduxGraphQL
Data & AI
LangChainLlamaIndexOpenAIHuggingFacePyTorch

Cloud development engagement models

Depending on your business needs, project scope, and team structure, we offer three flexible cooperation models for our cloud development services.

Engagement models

Outsourcing

This is a classic approach in which we take complete responsibility for the entire cloud development and migration process. Our project management team organizes the work for our cloud architects, engineers, DevOps, and QA specialists. You act as a stakeholder who focuses on strategic goals, communicating with our business analysts on requirements and with our project managers on status.

Industry-specific cloud development

We specialize in developing multi-integrated, easily customizable, and fully controllable cloud solutions. Where the use case supports it, we add AI for search, classification, and forecasting on top of scalable cloud data.

E-learning

E-learning

We build scalable cloud platforms for e-learning portals, LMS systems, and content delivery. The cloud handles traffic spikes during peak enrollment, while AI can support learner assistance, content search, and Q&A over internal materials.

Edtech cloud development
E-commerce & Retail

E-commerce & Retail

We develop elastic cloud commerce platforms, catalog systems, and order management that scale for seasonal peaks. AI can support product discovery, pricing analysis, support workflows, and demand forecasting on top of cloud data pipelines.

E-commerce development
Transport & Logistics

Transport & Logistics

We build cloud platforms for freight booking, warehouse operations, fleet management, and delivery control. The cloud handles high-volume telemetry and events, while AI can help with route planning, exception handling, and demand prediction.

Logistics cloud development
Marketing Automation

Marketing Automation

We develop cloud marketing platforms for campaign management, audience segmentation, reporting, and analytics. Elastic infrastructure processes large event streams, and AI can support content classification, lead routing, and customer insights.

MarTech cloud development
Healthcare & Lifestyle

Healthcare & Lifestyle

We build secure, compliant cloud applications for patient services, records management, and internal workflows. Where policy allows, AI can support document intake, search, triage, and staff knowledge access within HIPAA-aligned cloud environments.

Healthcare cloud development
Fintech

Fintech

We build secure cloud applications for payments, compliance, risk control, and operational workflows. Compliance-ready cloud services and strong isolation support regulated workloads, while AI can support investigations, document review, and transaction analysis.

Fintech cloud development

Our cloud development approach

We run cloud development and migration through a structured process that covers scope, team setup, cost control, and post-launch operations. 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 cloud goals, business requirements, migration scope, and delivery boundaries before development starts.

  • Run stakeholder interviews and architecture workshops
  • Document workloads, dependencies, integration points, and success metrics
  • Define the target cloud model and where AI and data services fit
  • Prepare a roadmap with milestones, migration waves, dependencies, and priorities

Awards& Recognitions

Clutch 2026 โ€” Top Python and Django Developers in Boston
GoodFirms โ€” Top Software Development Company
Clutch 2026 โ€” Top Artificial Intelligence Company in Boston
techreviewer.co 2026 โ€” Top Software Development Companies
GoodFirms โ€” Top AI Development Company
Clutch 2026 โ€” Top .NET Developers in Boston
techreviewer.co 2026 โ€” Top AI Integration Companies
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Responsive Design Development 2025
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IoT Services 2025

Frequently asked questions

It depends on your existing stack, team skills, compliance needs, and the managed services you rely on. AWS offers the broadest service catalog, Azure integrates tightly with Microsoft environments, and Google Cloud is strong for data and AI workloads. We assess your requirements and recommend a single-cloud, hybrid, or multi-cloud approach โ€” and design so you are not unnecessarily locked in.

Let's start

What's next
1. Tell us your vision
2. Expert discovery session
3. Receive your custom roadmap
4. Launch your project
If you have any questions, email us info@nexterse.com

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Account manager
Alex Morgan
Account Manager
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