Consulting and
Technical Services Pricing

A variety of pricing structures help you better scope the best ways to achieve your technical & business objectives.
CloudGeometry AWS Partner Network SaaS Factory Competency
CloudGeometry CNCF Kubernetes Certified Service ProviderCloud Native Computing Foundation — CNCF
Linux Foundation AI & Data Workstreams General Member

Our Approach

We know buying services can be opaque: prices depend on so many technical choices in pursuit of your goals. To make things a bit clearer, we've put together some examples of our past projects to give you an idea of what yours might cost.
Application Development &  Modernization
DevOps, Cloud and Platform Engineering
AI/MLOps & Data Engineering
Step
Task
Description
#1
First discovery call

Learn what you intend to achieve, ensure we're the right fit. A good point to sign an NDA.

#2
Second call: discuss
project approach & pricing structure

Determine

State of your systems & technical operationsWhat success looks likeHow best to organize the work you needWays to size and price the effort

#3
Optional:
A brief scoping assessment

Better understand any “unknowns”

Start with a simple consulting agreement for read-only system & codebase access Automated review with assessment tools Already have a detailed PRD? We'll make it part of our scoping Identify adjacent stakeholders who are part of regular sprint reviews

#4
SOW Review & Signature

Project plan and budget fit your org? A virtual handshake, review of SOW, and we can start work.

Example Services Pricing

While no two systems integration projects are identical, our portfolio is quite broad. These snapshots show how we actually delivered complete projects much like what you might need.

AI-enabled IoT Monitoring
& Data Management  

Consulting
App Dev
DevOps
GE Digital manages a central data platform that aggregates data from hundreds of power plants, oil rigs, and industrial facilities. Granular per-tenant analytics detail device health and usage. GE uses this data to drive existing subscription services and add new offerings.
More
Cost: blended rate $90/hour
Duration: 12+ months
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B2B App & Supply Chain Platform Development

Product
Dev
DevOps
Support
A chip manufacturer specializing in NFC tags set uout to launch a new Supply Chain and Marketing platform. It would let end users monitor movement of all merchandise up to Point of Sale (PoS), tracking retail consumer interactions and sending promotions tied to customers' locations and preferences.
More
Cost: blended rate $65/hour
Duration: 9+ months
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UX Upgrade and Secure
Data Multi-tenancy

Consulting
Dev
A late-stage B2B eCommerce platform start-up needed to update end-user-facing web and mobile apps. UX/UI needed redoing to meet current iOS, Android and Web UX standards. They also needed the renewed platform to work as a modular per tenant, front-end code base.
More
Cost: $80K
Duration: 3 months
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Cost Optimization for  cloud spend transparency

Consulting
Analytics
A leading SaaS Fintech offering a secure collaboration platform saw a huge spike in demand in the 2020 pandemic. Growing to millions of EC2 instances and variable expenses strained both software development efficiency and profitability. Exec leaders wanted cost clarity to align cloud spend with business outcomes.
More
Cost: $60K
Duration: 3 months
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Adopt Microservices with language transcoding

Consulting
Dev
DevOps
A HealthTech company developed a system for optimizing prescription drug recommendations. The MVP written in Elixir ran in a datacenter. Demand to integrate multiple hospitals and rapidly introduce new, unique features for each tenant quickly strained scalability and resilience.
More
Cost: blended rate $75/hour
Duration: 6 months
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SaaS Platform Upgrade & new App Development

Dev
DevOps
Support
The Red Cross operated a platform with mobile and web interfaces in Kenya, offering communication, e-commerce, and emergency support to the public. They wanted to bring these services to additional countries in Africa and Asia, with local Red Cross chapters managing localized services.
More
Cost: blended rate $65/hour
Duration: 9 months
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Components of Application Modernization work

Type of
Examples
Project Types

Consulting Development Ongoing support

Expertise

General programming Domain / Industry Data Integration Language specifics

Contract Types

Time & Materials Time & Materials with Minimum

Main Factors that affect services pricing

In any Application Development and Modernization project,  accuracy of pricing and estimates relies on  preliminary research and planning conducted by your product and engineering teams, as well as your organizational readiness. Once we understand your particular needs, we can give you a custom quote tailored to your tech stack and business priorities.

Cloud Migration

MLOps
Dev
A HealthTech company needed to migrate their .NET and MSSQL system to AWS without disrupting ongoing operations. The goal: enhance the platform's scalability and efficiency, while maintaining high availability and ensuring a smooth transition during migration and cutover.
More
Project Cost: $30K
Duration: 2 months
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Cloud Upgrade

Product
Dev
DevOps
Support
GE Digital has acquired a technology startup featuring an innovative online service metering solution, originally developed as a monolithic Java application and hosted on CloudFoundry. The merger required integration with the company's existing stack on AWS and transformation into an Enterprise B2B SaaS Platform.  
More
Project Cost: $250K
Duration: 6 months
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DevOps as a Service

Consulting
Dev
A leading US AdNetwork sought 24/7 managed services for monitoring and support with a 15-minute SLA. They also to support the development team with both DevOps tasks management plus application-level support for a dynamic system with weekly updates.
More
Typical rate: $8K/month
Duration: Ongoing
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Kubernetes Adoption

Consulting
Analytics
A Fortune 500 media company served enterprise advertising customers with large-scale dedicated instances serving tens of billions of daily ad calls for high-value video ads on YouTube, Hulu, and more. The pandemic expanded demand from SMB customers, but the platform lacked dynamic provisioning for thousands of small customers.
More
Project Cost: $90K
Duration: 3 months
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Security & Secrets Management

Consulting
Dev
DevOps
DiffusionData's move to Kubernetes and containers triggered wide customer enthusiasm, plus a flood of feature and integration requests. New features led to back-end bottlenecks in  provisioning infrastructure, automating security policy, secrets management, and compliance.
More
Project Cost: $50K
Duration: 2 months
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Platform Engineering

Dev
DevOps
Support
A large trucking and logistics firm experienced rapid growth via M&A and new development projects. Rapid expansion brought challenges: multiple development teams with diverse toolsets and release processes struggled with maintaining quality and integrating these diverse products and services into a unified SaaS platform
More
Project Cost: $150K
Duration: 3 months
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Components of DevOps & Cloud Native Upgrade work

Type of
Examples
Project Types

Consulting Development Ongoing support

Expertise

General programming Domain / Industry Data Integration Language specifics

Contract Types

Time & Materials Time & Materials with Minimum Managed Services Support SLAs

Main Factors that affect services pricing

In any DevOps & Cloud Native Upgrade Services project, the accuracy of pricing and estimates relies on the preliminary research and planning conducted by your product and engineering teams, as well as your organizational readiness. Once we understand your particular needs, we can give you a custom quote tailored to your tech stack and business priorities.

MLOps Data Pipeline

MLOps
Dev
Time & Materials
A mid-sized industrial B2B company needed to update their existing data stream processes for machine learning. The goal was to augment their existing team to expand their capabilities and upskill their engineers.
More
Typical Rates: $120–$200 / hour
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Reinforcement Learning Development

Consulting
MLEng
MLOps
A leading Health tech company faced inefficiencies in scheduling and resource allocation within healthcare facilities. Patient wait times lingered, resources remained underutilized, and operational costs soared.
More
Typical Rates: $100–$200 / hour
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Predictive Maintenance

Consulting
MLEng
MLOps
Our client, in the Energy Industry,  needed a resilient architecture to manage and integrate IoT data, including real-time data ingestion, processing, and integration with various systems.
More
Typical Rates: $350 / hour, Min. $5K / month
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Computer Vision / Object Detection

MLOps
ML
Consulting
Fixed Budget/Time & Materials
A leading innovator in the automotive technology space was creating advanced dash cameras with smart image capture and networking capabilities to translate driver experience behind the wheel to aggregated, searchable knowledge describing up-to-date characteristics of roadway conditions and behaviors.
More
Typical pricing: blended rate $90/h
Duration: 6 months
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Generative AI

GenAI
Dev
Fixed Budget
A B2C SaaS company wanted to enhance its platform by integrating AI-driven tools for personalized artwork generation to differentiate its platform by offering unique artwork tailored to individual tastes.
More
Total Project Cost: $160K
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Scientific Research

MLOps
ML
Dev
Time & Materials
Our client provides services to research organizations by ingesting data from lab equipment and providing data analysis. Without an organized pipeline, it was impossible to ensure consistency and repeatability while providing the ability to create a diversity of experiments, impeding  customers’ ability to perform effective research.
More
Typical rate: $350 / hour, Min. $5K / month
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Components of AI/MLOps, GenAI & Data Engineering work

Type of
Examples
Project Types

MLOps Platform Development Operational Efficiency Reinforcement Learning Consulting Computer Vision Chatbot & Virtual AssistantAI-Enabled IoT SolutionsModel DevelopmentLLM * RAG

Expertise

Data Engineering MLOps Model Pipeline ML Engineering AI Application Development Data Integration

Contract Types

Time & Materials Time & Materials with Minimum Experiment Design

Main Factors that affect services pricing

In any AI/MLOps & Data Engineering project, the accuracy of pricing and estimates heavily relies on research and planning conducted by your product and engineering teams, alongside organizational readiness. Once we understand your particular needs, we provide a custom quote tailored to your tech stack and business priorities.

Download An Example Quote

Use the form below to give us details so we can contact you with an estimate.
You can also contact us directly.