data center construction

Pre-built AI apps for data center construction — EPCs, GCs, and commissioning teams

Launchpad apps point at jobsite photo QA, RFI triage, bid takeoffs, and drawing gap analysis — the documentation work behind every prototypical multi-building program. Every app adapts to your drawings, your submittals, and your QA workflows, and deploys on infrastructure you control.
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SiteLens

Data center · construction

Pulls photos from Procore and direct uploads into one workspace, then classifies every image by building area, trade, work activity, and issue type. Plain-language search across every site, building, and date. Full audit trail of who reviewed what and when. Remote teams stay closer to the field.

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PowerSense

Data Centers · Manufacturing · Oil & Gas · Energy

Powered by Volta Insite. Electrical monitoring your team can actually act on. Sensors clamp onto any electric equipment and capture current, voltage, and waveform shape at one-second intervals. The AI Launchpad layer ranks alerts by business impact, applies your facility's escalation rules, and hands each stakeholder the version of the answer they need — pinpoint fault detail for the facilities engineer, risk-and-cost summary for the VP of Ops.

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RFI Insights

Data center construction · real estate

Classifies every incoming RFI by discipline and issue type — even when the submitter left fields blank — pulls the relevant drawings and submittals, and drafts a response for engineer review. Clusters similar RFIs across buildings and campuses so design feedback compounds.

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BidTakeoff

Data Center Construction · Industrial Construction · EPC

Automated takeoff for complex industrial drawing packages. Ingests isometric and other industrial drawing packages at scale, identifies components like pipes, valves, and flanges, and generates structured quantity outputs compatible with your estimating workflow. Trained on your historical production data so outputs match the way your estimators already work. Frees time to pursue more bids.

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BidRFI

Data Center Construction · Industrial Construction · EPC

Bid-package gap analysis and RFI generation before the clarification window closes. Reviews full bid packages — technical specifications plus drawing sets — to identify missing information, inconsistencies, and potential risks. Works alongside BidTakeoff to cross-reference written specs and drawings simultaneously. Produces a prioritized list of suggested RFIs for your team to validate and submit before the deadline. Surfaces unquantified risks early — before they end up in the bid price.

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Apolo Analytics

All verticals · Operations · Finance · Executive reporting

Natural-language analytics over your operational data. Automates data preparation, unifies sources without manual ETL, and lets business users explore insights in plain language instead of through BI dashboards. Pre-built for rapid deployment and integrates with the systems your teams already use.

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SECURITY & compliance

Secure by Design,
Compliant by Default

Apolo's secure and compliant platform ensures your data remains fully owned and managed by you, staying on-prem —whether for white-label platforms or ready-to-use AI tools — meeting the highest enterprise security standards.
Enterprise-Grade Compliance: Apolo is ISO 27001 certified and SOC-2 Type 2 compliant, adhering strictly to rigorous security standards required by regulated industries.
Secure, Flexible Access: Integrated Role-Based Access Control (RBAC), secure connectivity (TLS encryption), and advanced multi-tenancy capabilities provide seamless, secure operations across departments or business units.

Hear from our clients

Stan Fiskin
Founder, Centrobill
Partnering with Apolo has significantly improved our fraud detection capabilities, allowing us to provide a safer and more reliable payment processing service to our clients. The advanced AI and machine learning models have been a game-changer for us.
Yashar Behzadi
CEO, Synthesis AI
Within a month of our migration from Kubeflow to Apolo on AWS, we tripled the number of ML experiments we could run.
Dean Nelson
 CEO, CATO Digital
Apolo’s approach to ML/AI models development, training, and inference perfectly aligns with our view of how sustainability should look in the data processing industry