Pariveda Solutions
2811 McKinney Ave Ste 320,
Dallas, 75204, TX,
United States
Dallas, 75204, TX,
United States
1 844-325-2729
Professional Services
Pariveda Solutions
List of Software Implementations where Pariveda Solutions is Reseller or System Integrator
Pariveda Solutions, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Pariveda Solutions collaboration with software players such as Amazon Web Services (AWS) empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
Pariveda Solutions is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Pariveda Solutions | Amazon Web Services (AWS) | Amazon EC2 | Application Hosting and Computing Services | IaaS |
| Pariveda Solutions | Microsoft | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS |
| Pariveda Solutions | Amazon Web Services (AWS) | Amazon SageMaker | ML and Data Science Platforms | AI Development |
List of Software Implementations where Pariveda Solutions is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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Atlas Van Lines | Transportation | 800 | $140M | United States | Amazon Web Services (AWS) | Amazon SageMaker | ML and Data Science Platforms | 2016 |
In 2016 Atlas Van Lines deployed Amazon SageMaker to prototype and operationalize machine learning for proactive capacity and price management in long haul moving. The engagement positioned Amazon SageMaker inside the ML and Data Science Platforms category, establishing a cloud native training and experimentation environment to accelerate model development.
Pariveda Solutions prepared Atlas data sets, developed and evaluated the machine learning model, and tuned model performance through iterative training cycles. Amazon SageMaker was used to train and optimize the model, then the artifact was exported using SageMaker’s modular architecture to run inference on Amazon EC2, separating the training lifecycle from runtime hosting.
Operational scope focused on capacity planning and pricing business functions within long haul operations, with governance delivered through a joint Pariveda and AWS engagement that emphasized data preparation, model evaluation, and performance tuning. The implementation enabled Atlas Van Lines to unlock the possibility of proactive capacity and price management by embedding Amazon SageMaker powered models into production inference workflows on EC2.
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Black & Veatch | Construction and Real Estate | 12000 | $5.1B | United States | Amazon Web Services (AWS) | Amazon SageMaker | ML and Data Science Platforms | 2016 |
In 2016, Black & Veatch implemented Amazon SageMaker on AWS as an ML and Data Science Platforms deployment to automate key engineering design parameter decisions. Pariveda Solutions designed and implemented an MVP application that demonstrated machine learning could be embedded into the engineering design process to reduce cost by automating a targeted design decision feature.
The implementation used Amazon SageMaker to train models on historical performance at real-world plants, applying advanced feature modeling to divide operational runs into logical segments. The solution included automated data conditioning to detect and ignore segments impacted by manual human intervention, and a multi-part linear regression modeling approach to predict component maintenance rates from process input parameters, enabling automated optimization of selected design parameters.
Integration was focused on ingesting plant historical performance datasets and engineering process inputs for the targeted design steps, with the MVP applied to core specialties such as water, power, and telecommunications within Black & Veatchs engineering practice. Amazon SageMaker served as the centralized model training and inference platform, and model outputs were surfaced into the engineering decision workflow for the most important parts of the design process.
Governance and process changes emphasized model-driven decisioning in the design workflow, including procedures to identify and exclude human-intervened segments from training data and a repeatable training pipeline hosted on AWS. The engagement delivered a validated proof of concept and a cost reduction outcome by automating a key feature of the design process, while establishing a model training and deployment pattern for broader engineering applicability.
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IT Decision Makers and Key Stakeholders at Pariveda Solutions
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Buyer Intent: Companies Evaluating Pariveda Solutions Services
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Pariveda Solutions software implementations. Gain ongoing access to real-time prospects and uncover hidden opportunities.
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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Pariveda Solutions System Integrator / VAR Profile
Pariveda Solutions is a system integrator and technology consulting firm headquartered in Dallas, United States, with approximately 350 employees and annual revenues of $110M.
Pariveda Solutions implements and supports enterprise applications across markets such as AI Development.
APPS RUN THE WORLD tracks 2 verified Pariveda Solutions software implementations across industries and regions, including: Atlas Van Lines where Pariveda Solutions implemented Amazon SageMaker, and Black & Veatch where Pariveda Solutions implemented Amazon SageMaker.
Pariveda Solutions has a strategic VAR/SI partnership with Amazon Web Services (AWS), backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing Pariveda Solutions partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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