Services

AI-native engineering services for products that need to scale

NexForge combines AI development, product engineering, mobile delivery, DevOps, cloud infrastructure, and design into one team for startups and enterprises building modern software.

Startup Technical Partner

Your Fractional CTO + Engineering Team

Founders come to NexForge when they do not want to hire a CTO, product designer, frontend team, backend team, and DevOps engineer separately. We plan, build, ship, and support the stack as one product-engineering partner.

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AI Development

AI agents, RAG systems, enterprise search, workflow automation, AI copilots, and LLM integration for production environments.

  • AI agents and copilots
  • RAG architecture and enterprise search
  • Workflow automation systems
  • LLM integration and orchestration
  • Evaluation, governance, and observability
  • Production rollout and managed operations
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Product Development

SaaS platforms, web applications, marketplaces, internal tools, and enterprise portals built from strategy to launch.

  • SaaS application delivery
  • Internal tools and workflow products
  • Marketplace and portal engineering
  • API and backend systems
  • Analytics and data foundations
  • Go-live and post-launch iteration
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Mobile Development

Mobile products for iOS, Android, React Native, and Flutter teams that need launch-ready experiences across devices.

  • iOS and Android delivery
  • React Native and Flutter builds
  • Mobile product architecture
  • Analytics and release workflows
  • Design system implementation
  • App-store readiness and launch support
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DevOps & Platform Engineering

CI/CD, Kubernetes, infrastructure as code, release automation, platform tooling, monitoring, and reliability engineering.

  • CI/CD pipeline engineering
  • Kubernetes and GitOps deployment
  • Infrastructure as code
  • Monitoring and observability
  • Incident readiness and reliability
  • Internal developer platforms
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Cloud Infrastructure

AWS, GCP, and Azure architecture, migrations, security, resilience, cost optimization, and multi-cloud delivery.

  • Cloud architecture and landing zones
  • Migration and modernization programs
  • FinOps and cost control
  • Disaster recovery and high availability
  • Security hardening and policy controls
  • Platform operations and support
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UI/UX Design

User research, product strategy, design systems, wireframes, and interactive prototypes for modern digital products.

  • Product discovery
  • User research
  • Design systems
  • Wireframes and journeys
  • Interactive prototypes
  • High-fidelity UI delivery
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How delivery works

1. Discovery

Business goals, product scope, technical baseline, constraints, and ROI targets.

2. Architecture

System design, product workflows, integration map, security controls, and delivery plan.

3. Build & Integrate

Incremental implementation across product, AI, CI/CD, cloud, and workflow automation.

4. Go Live & Operate

Production hardening, observability, handover, and post-launch support.

Expected ROI lenses

Operational Throughput

Reduce cycle time through AI systems, automation, and cleaner product workflows.

Technology Reliability

Improve uptime, release confidence, and incident response quality.

Cost Optimization

Lower cloud and process waste while maintaining performance.

Revenue Enablement

Ship customer-facing capabilities faster with better execution.

Industry Solution Blueprint

Representative architecture example: AI-native healthcare operations platform

Business problem: fragmented intake, manual records processing, and delayed operational reporting. Solution architecture: secure intake automation, document intelligence, AI knowledge assistance, and cloud reporting pipelines integrated with the existing EMR stack. Expected outcomes: faster operations, lower cost per case, better compliance reporting, and improved patient experience.

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