Queryon - AI/ML Development
Queryon is a United States software and data consultancy based in Anchorage, Alaska, that specializes in data analytics, business intelligence, and custom software for project-driven organizations. A Microsoft-certified and Databricks consulting partner, it builds Power BI dashboards, data pipelines, and reporting systems, with particular depth in project controls for construction, energy, and similar industries. A small, hands-on team delivers consulting rather than off-the-shelf products.
The buyer most likely to consider Queryon is an organization drowning in scattered spreadsheets and disconnected systems that wants centralized, automated reporting and real-time visibility into cost, schedule, and risk. Its published work centers on Power BI implementation, ERP and project-data integration, and data warehousing for construction and oil and gas. The problem it addresses is turning fragmented data into reliable, automated analytics that support faster, better decisions.
One honest consideration is where its strength lies. Queryon’s demonstrated core is data analytics, business intelligence, and data engineering, especially Power BI and project controls, rather than deep application-level AI or machine learning. It offers AI as a Microsoft and Databricks partner, but buyers whose primary need is bespoke AI or machine-learning development should confirm that depth directly. As a small firm with premium rates, capacity and cost are also worth weighing.
Key Services
Power BI Consulting and Dashboards
Implementing Power BI and building custom executive-level dashboards that provide real-time cost, schedule, and risk insights. A defining strength.
Data Engineering
Developing data pipelines, architectures, and warehousing using Azure and Microsoft Fabric to support fast, scalable reporting infrastructure.
ERP and Project-Data Integration
Connecting construction and project ERPs such as Primavera, Procore, EcoSys, and PRISM, along with Excel, into a single automated reporting system.
Custom Software Development
Building custom software tailored to a client’s data, analytics, and reporting needs, integrated with existing applications.
Cloud and DevOps
Cloud services across Azure, AWS, and Google Cloud, including migration, cloud-native development, and DevOps automation such as continuous integration and testing.
AI and Advanced Analytics
AI and advanced analytics offered as a Microsoft and Databricks partner, applied to data problems. A supporting capability, with depth to confirm for demanding AI needs.
Staff Augmentation
Providing skilled resources to supplement a client’s existing team and accelerate delivery as a data project grows or shifts.
Core Use Cases
- Implementing Power BI and building reporting dashboards
- Centralizing scattered data into automated reporting
- Integrating project ERPs like Primavera or Procore
- Building data pipelines and a warehousing foundation
- Gaining real-time cost, schedule, and risk visibility
- Adding data or analytics capacity through staff augmentation
Best Suited For
Queryon fits project-driven organizations, particularly in construction, energy, and oil and gas, that want to move from scattered spreadsheets to centralized, automated business intelligence and reporting. Buyers who value Power BI and data-engineering depth and hands-on consulting may find it a strong match.
It is a weaker fit for buyers whose primary need is application-level AI or machine-learning development, which is not its demonstrated core, or who want the lowest cost. Those buyers should confirm AI depth directly, and weigh premium rates, before proceeding.
Business Benefits
A consultancy focused on business intelligence and data engineering can turn fragmented data into reliable, automated reporting, which matters for organizations making cost and schedule decisions from spreadsheets. Deep Power BI and project-controls experience means the team understands the reporting needs of construction and energy firms.
Certified Microsoft and Databricks partnerships point to genuine platform expertise, and a hands-on, consulting-first approach suits buyers who want a partner rather than a product. Being small can also mean dedicated attention without heavy bureaucracy.
As with any data engagement, results depend on data quality, clear reporting goals, and active involvement, and where AI is central, on confirming real depth. Buyers who define the decisions the analytics should support, confirm AI capability for any app-level need, and weigh capacity and rates are better placed to judge results, and any self-reported figures are worth verifying rather than assumed. For any application-level AI specifically, asking to see comparable work the team has shipped, rather than relying on the partner-status labels, gives a clearer read of whether that capability matches the firm’s strong data and BI foundation.
Why Queryon Stands Out
The standout quality is genuine depth in business intelligence, Power BI, and data engineering for project-driven industries, backed by Microsoft and Databricks partnerships and a hands-on consulting approach.
The tradeoff, and the key point for this directory, is that its demonstrated core is data analytics and BI rather than application-level AI or machine learning, which it offers as a partner capability. Buyers wanting bespoke AI should confirm that depth, and premium rates and small size are worth weighing.
A company might choose Queryon over a freelancer when it wants certified data and BI expertise with dedicated attention, and over a large firm when it wants a focused, hands-on partner. Buyers needing bespoke application-level AI, or lowest cost, should weigh those points first.
