DevicoAI

AI infrastructure cost optimization and monitoring company

AI cost optimization and monitoring services

Control costs, reduce waste, and improve the efficiency of your AI infrastructure.

Why choose DevicoAI for AI infrastructure cost optimization and monitoring

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High retention rate

96%

Our dedicated team ensures consistent support and expertise, significantly above the industry average of 80%.

Wide expert network

3000

Access to over 3000 engineers and AI experts.

Proven track record

500,000

Over 500,000 man-days successfully delivered.

Support

24/7

Highly experienced management team available around the clock.

Problems AI cost optimization and monitoring services can solve

01

Unnecessary expenditure on underutilised systems

Businesses often pay for infrastructure that exceeds their actual needs or sits idle, wasting resources.

Solution: DevicoAI identifies underused assets and rightsizes your systems to align with real-world demand, balancing performance and cost.

Unnecessary expenditure on underutilised systems

02

Redundant and overly complex architecture

Inefficient workflows and unnecessary redundancies bloat infrastructure costs while complicating maintenance.

Solution: We simplify workflows and remove duplicate processes, creating a streamlined architecture that reduces complexity and costs.

Redundant and overly complex architecture

03

Lack of cost visibility and tracking

Without clear insight into infrastructure spending, businesses struggle to identify inefficiencies or justify ongoing investments.

Solution: DevicoAI implements robust monitoring frameworks that provide real-time cost analysis and actionable insights.

Lack of cost visibility and tracking

04

Poorly optimised scaling strategies

Rapid scaling without proper planning leads to over-provisioning or underperforming systems that fail to meet demands efficiently.

Solution: We design adaptive scaling strategies to align resources dynamically with your operational needs.

Poorly optimised scaling strategies

05

Disruption during system changes

Many organisations hesitate to optimise infrastructure for fear of operational disruptions.

Solution: Our phased approach to implementation minimises downtime and supports a smooth transition to an optimised state.

Disruption during system changes

Don't limit your reach

Save time and money with an experience-driven AI infrastructure management approach

AI infrastructure cost optimization and monitoring for industries

Healthcare

Centralised data pipelines form the backbone of AI infrastructure in healthcare, enabling hospitals to process patient records, medical imaging, and real-time monitoring data efficiently.

Use cases:

  • Processing medical imaging for faster anomaly detection
  • Predicting patient admissions and resource needs
  • Real-time monitoring for critical care alerts
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Finance & insurance

High-performance computing clusters and secure transaction monitoring systems are critical components of AI infrastructure in the financial sector.

Use cases:

  • Fraud detection in real-time transactions
  • Dynamic credit scoring for risk assessments
  • High-frequency trading powered by AI models
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Retail

AI infrastructure in retail relies on scalable data warehouses and integrated customer behaviour analytics platforms.

Use cases:

  • Personalising shopping experiences with recommendation engines
  • Predicting inventory needs based on market trends
  • Dynamic pricing adjustments based on real-time demand
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Manufacturing

IoT-enabled data collection platforms and real-time processing nodes are key to AI infrastructure in manufacturing.

Use cases:

  • Predictive maintenance for machinery based on sensor data
  • Automated issue detection to reduce production downtime
  • Workflow optimisation for better resource allocation
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AI infrastructure cost optimization and monitoring process

Step 1

Audit and assessment

Conduct a thorough review of your existing infrastructure to identify inefficiencies, redundant systems, and areas of unnecessary spend. Benchmark performance against industry standards to highlight key opportunities for improvement.

Step 2

Simplification and streamlining

Optimise your architecture by removing unnecessary layers, consolidating workloads, and standardising processes. This reduces the burden on resources and simplifies system management.

Step 3

Redesign and optimisation

Develop a leaner infrastructure design that balances cost and performance. Incorporate best practices such as resource pooling, containerisation, and workload automation to improve resource efficiency.

Step 4

Implementation

Execute the transition to an optimised design in phases to minimise disruption. Leverage automation and parallel testing to support smooth deployment without impacting business operations.

Step 5

Cost and performance monitoring

Deploy advanced monitoring tools that provide real-time tracking of cost and performance metrics. Establish frameworks for regular review to align the infrastructure with evolving business needs.

Step 6

Feedback and iteration

Create a feedback loop to refine infrastructure design based on performance data and operational demands, supporting long-term cost control and scalability.

Achieve better results

Don't pay for issues. Secure AI infrastructure with cost optimization and monitoring services

Benefits of AI cost optimization and monitoring

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Controlled costs

Eliminate unnecessary expenses by aligning infrastructure spending with actual business needs.

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Improved visibility

Gain real-time insights into infrastructure costs and performance to make informed decisions.

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Efficient scaling

Scale systems dynamically to meet demand without overprovisioning or compromising performance.

Technologies for AI infrastructure development

Microsoft Azure

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    Azure machine learning: Comprehensive service for building and deploying machine learning models.

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    Cognitive Services: Suite of pre-built AI services including vision, speech, language, and decision-making.

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    Azure Bot Service: Platform for building and deploying chatbots.

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    Azure OpenAI Service: Access to OpenAI's powerful language models.

Get in touch

Drop us a line about your project and we will contact you within a business day

Our locations

New York

HQ

521 Fifth Ave, NY 10175

+1 805 491 9331

London

Sales

9 Brighton Terrace, SW9 8DJ

+44 1922 214429

Warsaw

R&D

Towarowa 28, 00-847

info@devico.io

Lviv

R&D

Uhorska str. 14, 79034

info@devico.io

Questions & answers

DevicoAI combines technical expertise with a practical approach to create infrastructure that delivers performance, scalability, and value.

Costs depend on the scale and complexity of the project, as well as specific business needs and integration requirements.

Yes, we provide tailored cost analyses based on your unique workloads and requirements.

Yes, we collaborate with your team to ensure that our solutions align with your goals and processes.

We map your existing systems and create workflows to improve compatibility and performance.

Our phased migration process ensures minimal disruption and a smooth transition.

We apply encryption, access control, and robust auditing processes to maintain the confidentiality and integrity of your data.

All developments are aligned with GDPR, HIPAA, and other relevant standards to meet both legal and operational requirements.