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.

Book Free Consultation

Clients rate our services

5,0

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 — 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
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 — 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
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
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
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.

Get Your Free Consultation

Unlock the potential of scalable cloud solutions today!

Get in Touch
Cloud AI & ML services

Cloud AI & ML services

We integrate managed cloud AI — language models, retrieval, classifiers, and automation flows — 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 — including AI — 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

Our recent works

Better Digital Experiences
Better Digital Experiences

A Modern Web Platform Built for Performance & Growth

We partnered with WorkHive to build a modern, responsive web experience focused on usability, performance, and scalability for long-term growth.

  • 100% Responsive Across All Devices
  • Optimized for Speed & Performance
  • Scalable Architecture for Future Growth
Automate. Connect. Scale.
Automate. Connect. Scale.

Transforming Business Operations with CRM & Automation

We helped Lifty streamline operations through CRM customization and intelligent automation, connecting processes and reducing repetitive work.

  • Centralized CRM
  • Workflow Automation
  • Connected Data Systems
Technology Built for Insurance
Technology Built for Insurance

Building a Custom Software Platform for Insurance Operations

We developed a custom software platform tailored to the insurance business, bringing essential processes into one centralized system for teams.

  • Custom-Built for Insurance Operations
  • Centralized Policy & Customer Management
  • Streamlined End-to-End Business Workflows
Digitizing Travel Experiences
Digitizing Travel Experiences

Building a Smarter Digital Experience for Travel & Tourism

We helped A to Z Travel and Tours strengthen its digital presence with a modern solution that simplifies interactions and showcases travel services.

  • Digital Travel Services
  • Responsive Design
  • Customer Engagement
Severine Nijs

Severine Nijs

Founder & Managing Director

Running a model agency with a roster of thousands means an enormous amount of profiles, bookings, and digital assets to keep organized, and our internal tools hadn't kept pace with how the industry was moving toward digital modeling. Nexterse LLC built us a platform to manage our models' profiles, availability, and digital assets in one place, and helped us lay the technical groundwork for offering digital twins of our models to brands. What used to be scattered across spreadsheets and inboxes is now a single system our whole team relies on daily, and it's opened doors to work we simply couldn't have taken on before.

Matthias Geeroms

Matthias Geeroms

Co-Founder & Corp Dev

Our revenue management platform pulls in pricing and demand data from tens of thousands of properties in near real time, and as we scaled, keeping that data pipeline fast and accurate became a real engineering challenge. Nexterse LLC helped us re-architect parts of our data ingestion layer so it could handle far higher throughput without falling behind during peak booking periods. The platform now processes rate and demand signals faster and more reliably, which directly translates into better pricing recommendations for the properties that depend on us. It's exactly the kind of partner you want when the data never stops coming.

Roeland Delrue

Roeland Delrue

Co-Founder

We wanted developers to see code, cloud, and runtime security in one place instead of juggling five different tools, but stitching all those signals together into something fast and genuinely useful was a heavier engineering lift than we expected. Nexterse LLC helped us unify our scanning pipelines so results from different layers of the stack could be correlated and prioritized automatically instead of dumped on developers as noise. Scan times came down, false positives dropped, and our platform now gives teams a single, trustworthy view of their risk instead of another alert queue to ignore.

Michiel Bearelle

Michiel Bearelle

Co-Founder

We made the call to pivot our platform from procurement into HR, which meant rebuilding a meaningful part of the product without disrupting the customers who were already relying on us. Nexterse LLC helped us re-architect the core of the platform so we could introduce entirely new HR workflows while keeping the parts that already worked stable for existing customers. The migration went smoother than we expected for a pivot of that size, and we came out the other side with a cleaner foundation to build the new product on.

Olivier Pomel

Olivier Pomel

CEO

Even with a large engineering organization, some internal tooling initiatives don't get the dedicated attention they deserve, and one of our internal reporting dashboards had fallen behind what our own teams actually needed from it. Nexterse LLC came in and rebuilt that internal tool from the ground up, working closely with the teams who used it daily to get the details right. It's a small piece of a much larger platform, but it's the kind of focused, well-executed work that makes a real difference to the people who use it every day.

Ricardo Ghekiere

Ricardo Ghekiere

Co-Founder

Our AI headshot platform was growing fast, and our generation pipeline was starting to show it, with turnaround times creeping up whenever demand spiked and quality consistency becoming harder to guarantee at volume. Nexterse LLC rebuilt our image pipeline around a more resilient queuing and processing architecture, so thousands of concurrent headshot jobs no longer competed for the same resources. They also tightened how we handle and discard uploaded photos, which mattered a lot given how sensitive that data is. Turnaround time dropped, output stayed consistent even during our biggest traffic days, and we've been able to scale well past a million headshots delivered without the platform buckling.

Miguel Rasero

Miguel Rasero

Co-Founder & CTO

As we grew from one AI photography product to a small family of them, our engineering team was stretched thin trying to keep every product's infrastructure reliable at the same time. Nexterse LLC came in as an extension of our engineering team and helped us standardize the infrastructure across our products, so improvements to one no longer meant reinventing the wheel for another. Deploys became safer, incident response got faster, and our small team could finally focus on product instead of firefighting. It's the kind of partner that actually understands what it means to build fast without breaking things.

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
AdTech

AdTech

We develop cloud advertising 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.

AdTech 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 — Top Python and Django Developers in Boston
GoodFirms — Top Software Development Company
Clutch 2026 — Top Artificial Intelligence Company in Boston
techreviewer.co 2026 — Top Software Development Companies
GoodFirms — Top AI Development Company
Clutch 2026 — Top .NET Developers in Boston
techreviewer.co 2026 — Top AI Integration Companies
GoodFirms badge
TDA badge
AWS partner badge
ISO compliance badge
Responsive Design Development 2025
Mobile Software Development 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 — and design so you are not unnecessarily locked in.

Let's start

What's next
1. Share your requirements
2. Analyze them with our experts
3. Get a detailed pricing
4. Kick off the project
If you have any questions, email us info@nexterse.com

When you click Send, Nexterse LLC will process your personal data in accordance with our Privacy & Policy to respond to your enquiry.