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Integration & Deployment

Streamline production rollout for your AI solutions

NeurArk supports you in integrating your AI models into your environment and scaling them enterprise-wide. We ensure a smooth transition from testing to production, emphasizing security, performance, and rapid business impact.

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Why Invest in Integration & Deployment?

Moving from a promising AI prototype to a fully operational solution requires solid expertise in integration and deployment. By ensuring this critical phase, you:

 

  • Maintain daily reliability and stability of your AI models,
  • Benefit from a scalable architecture that grows with your business,
  • Provide a seamless user experience integrated with existing systems,
  • Maximize ROI on AI investments by reducing downtime and maintenance costs.

With NeurArk, you can quickly transform proofs of concept into robust, high-performing AI solutions.

Our Integration & Deployment Framework

To guarantee a successful production launch, we’ve developed a specialized framework combining DevOps best practices with AI expertise. Below is an overview of our key phases:
1
Ecosystem Analysis

We assess your infrastructure (cloud, on-prem, or hybrid), platforms, and applications to propose a sustainable, compatible integration architecture.

2
Packaging & Security

We package models (containerization, virtualization) and implement security measures (access management, encryption) to meet your compliance requirements.

3
Testing & Validation

We run functional and performance tests (stress, regression) to validate solution robustness before production release.

4
Automated Deployment

We automate deployment workflows (CI/CD), ensuring rapid transition from staging to production and continuous updates without significant downtime.

5
Monitoring & Support

After deployment, we monitor key metrics (response times, error rates) and quickly address anomalies. We also provide ongoing support to assist your teams as needed.

FAQ - Integration & Deployment

We work with various environments (public/private cloud, on-prem, hybrid) and adapt our approach to meet your technical and budgetary requirements.

Timelines vary depending on model complexity and existing infrastructure. With our DevOps methodologies, an initial deployment can often be achieved in a few weeks.

We employ advanced security measures (encryption, identity and access management, log monitoring) to protect data confidentiality and integrity.

Our CI/CD pipelines simplify automated, tested model updates, enabling you to rapidly roll out new versions without impacting business operations.

Yes. We’ve successfully integrated AI models with various enterprise applications (SAP, Salesforce, HubSpot, etc.). Each project is adapted to specific APIs and contexts.

Absolutely. We can provide support, regular monitoring, and adjustments as your needs or infrastructure evolve.

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Move from PoC to Full-Scale AI

Bring your models to life with seamless deployment

Don’t let your AI projects stall at the proof-of-concept stage. Gain secure, high-performance integration to fully leverage the benefits of artificial intelligence across your enterprise.