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AI Agents for industrial operations

The Industrial Agent Platform. Built to ship.

Pre-built AI agents for the work data centers, manufacturers, builders, and industrial operators already do. Documents review. Jobsite QA. Bids takeoff. RFI triage. Equipment monitoring.

Configured to your operation, deployed on private infrastructure, in production in weeks.

Working with operators across the U.S. and Europe
Compass Datacenters
GreenSquareDC
Scott Data
WWT
Volta Insite
Cato
iM HPC
Novoserve
STN
LG Nova
Compass Datacenters
GreenSquareDC
Scott Data
WWT
Volta Insite
Cato
iM HPC
Novoserve
STN
LG Nova
problem

Industrial AI has a delivery problem.

Generic AI doesn't speak industrial. Custom builds quote months and seven figures. Public cloud can't touch your data. Most industrial AI never makes it out of pilot.

Apolo fixes this with pre-built agents trained on the rules and formats of your industry, and forward-deployed engineers who ship them into production.

Apolo FDEs own your implementation, kickoff to post-production.

01

Apolo Industrial Platform Agents.

featured agents

Each agent owns one workflow.

The full catalog covers the work industrial operations run, from specification matching and bid takeoffs to vendor compliance and sales monitoring, and it keeps growing.

Manufacturing · Metals · OCTG

MTR CrossCheck

Mill test report validation in minutes, not hours.

Ingests MTRs in any mill format (PDF, scan, or digital), extracts chemistry, mechanical properties, dimensions, and tolerances, and compares every parameter against your internal specs. ASTM, ASME, API 5L / 5CT / 5B, plus your own acceptance rules.

Any Mill. Any Format.See MTR CrossCheck →
Data center construction · AEC

SiteLens

Jobsite photos, turned into progress and quality data.

Pulls photos from Procore and direct uploads into one workspace. Classifies every image by building area, trade, work activity, and issue type. Plain-language search across every site, building, and date.

Procore-native.See SiteLens →
Data Centers · Energy · Manufacturing

PowerSense

Electrical monitoring your team can actually act on.

Sensors clamp onto motors, pumps, compressors, and mixers and capture current, voltage, and waveform shape at one-second intervals. Apolo ranks alerts by business impact and applies your facility's escalation rules.

Powered by Volta Insite.See PowerSense →
Data center construction · Commercial builds

RFI Insights

RFI triage and response drafting, built for project engineers.

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.

Engineer-reviewed.See RFI Insights →
02

From workflow to production.

Pick· Adapt· Deploy

In weeks. The reviewer always stays in control.

Pick a workflow that already costs your team hours every week.

Step 01 · Pick the agent

Tell us the workflow. Document review, RFI triage, jobsite QA, vendor onboarding. Start with what already eats your team's time.

Step 02 · we Adapt it to your operation

We configure the agent on your data. Every agent ships with the rules, formats, and acceptance criteria of its industry already encoded. Our FDEs tune it to your specs, in your environment.

FDEs →
Step 03 · we Deploy on your infrastructure

Nothing leaves your perimeter. Every deployment compounds on the platform's understanding of your operation.

The platform

The Industrial Agent Platform architecture.

A shared foundation that turns industrial workflows into production agents. Five layers, integrated into your environment by forward-deployed engineers.

L1
L2
L3
L4
L5
L1 · Agent Catalog
Pre-built agents, configured to your operation. Branded as the Apolo AI Launchpad.
L2 · Industrial Context
Mill formats, RFI taxonomies, submittal types, acceptance criteria. Learned per operator.
L3 · Integrations & Governance
Orchestration across your systems. Human-in-the-loop review, audit logging, policy enforcement.
L4 · Apolo MLOps Platform
Model serving, deployment, lifecycle. Open-weight models. No third-party LLM in the loop.
L5 · Private GPU Infrastructure
2,500+ Apolo GPUs across the U.S. and Europe. No public cloud. On-prem capable.
+ Apolo forward-deployed engineers
Engineers who integrate every layer into your existing systems and workflows. From kickoff to production. The same team across every deployment.
The compounding effect

Every agent makes the next one cheaper, faster, and smarter.

Each Apolo deployment compounds on the platform's understanding of your operation. The formats your RFI agent indexed power your specification matcher. The jobsite metadata your photo agent classified feeds your QA workflow.

The longer Apolo runs, the less every new agent costs to ship.

03

Why Apolo

A product, not a project.

Why industrial operators pick Apolo over building it or buying horizontal AI platforms.

Agents that adapt to the operator

Traditional SaaS forces your team to adapt to the software. Apolo agents adapt to your workflows, documents, and rules. The agent fits around your team, not the other way around.

Industrial knowledge built in

Generic AI fails in asset-heavy industries because it doesn't understand the domain. Apolo agents come with the industry rules, formats, and acceptance criteria already encoded, ready to configure, not build from scratch.

Your data stays on your infrastructure

Every agent deploys on-prem, in an Apolo-managed sovereign environment, or in your cloud. ISO 27001. SOC 2 Type 2. No data leaves your environment. No dependency on OpenAI or Anthropic APIs.

Weeks, not quarters

Most enterprise AI platforms take 6–12 months to implement. An Apolo agent runs on your workflow in weeks.

04

Industries

industrial operations

Built for the industries generic AI can’t serve.

Industrial operations with physical assets, compliance requirements, and document-intensive workflows: the work where AI adoption has lagged, and where specialized agents actually move the needle.

Data Center Construction

EPCs, general contractors, and commissioning teams managing RFIs, submittals, drawings, and jobsite photos across prototypical multi-building programs.

SiteLens·RFI Insights

Manufacturing & Metals

Steel service centers, tube suppliers, OCTG distributors, and pipe fabricators validating mill test reports at volume.

MTR CrossCheck

Oil & Gas

Upstream, midstream, and oilfield services operators with compliance documentation, equipment inspection, and field operations.

PowerSense·MTR CrossCheck

Energy

Utilities, power generation, and energy infrastructure operators handling inspection workflows, field reporting, and regulator-facing documentation.

PowerSense

Construction

General and specialty contractors on large commercial and industrial builds. Submittal review, QA documentation, and project intelligence without the manual grind.

SiteLens·RFI Insights

Mining

Mining operators with equipment inspection, compliance documentation, and field reporting workflows.

PowerSense·SiteLens

Financial Services

Trusts, funds, banks, credit unions, and fintech teams. Private, compliance-aligned AI for regulated operations.

Custom

Government

Municipal operations, citizen engagement, and policy work. LawLens AI, MayorGPT, BudgetIQ, and HappyMeter.

Custom
05

Security & compliance

No public cloud· No API dependencies

Private infrastructure. No public cloud. No API dependencies.

Every Apolo agent deploys in an environment you control. ISO 27001 certified. SOC 2 Type 2. Open-weight models served from Apolo-managed capacity, not OpenAI, not Anthropic.

ISO 27001SOC 2 Type 2PII scanningAudit loggingOIDC SSOTLS encryption
01

Data stays where it belongs

On-prem, Apolo-managed sovereign, or your own cloud account. Nothing shared with third-party LLM providers.

02

Certified and audit-ready

ISO 27001 and SOC 2 Type 2. Continuous compliance monitoring, PII scanning, audit logging, and bias/leakage checks keep environments audit-ready.

03

Access built for regulated teams

OIDC SSO, role-based access control, TLS encryption, and multi-tenancy for departmental or business-unit isolation.

06

Under the hood

2,500+ GPUs

The infrastructure that makes the agents possible.

Apolo manages 2,500+ GPUs through infrastructure partnerships across the U.S. and Europe, plus a managed MLOps platform underneath every agent. Private, Apolo-controlled. Available directly for operators who need dedicated capacity or a white-label platform.

Direct GPU access

Apolo GPUaaS

Reserved NVIDIA H100, H200, B200, and B300 capacity. Predictable commitment-based pricing. A full MLOps platform with human support included by default.

See Apolo GPU →
ML Operations stack

Apolo MLOps Platform

For colocation, bare-metal, telco, and hybrid cloud operators. A secure, multi-tenant, white-label MLOps platform.

See Apolo mlops →
07

Integrations

No middleware· SOC 2 · ISO 27001

Connect to the systems you already run.

Apolo agents connect to the ERP, CRM, ITSM, document stores, and data platforms your team already uses, without middleware or custom code. SOC 2 and ISO 27001 from day one.

ERP & Project
Procore
SAP
Oracle
Microsoft Dynamics
Autodesk Construction Cloud
Document & Storage
SharePoint
Box
Dropbox
Google Drive
S3
ITSM & CRM
ServiceNow
Jira
Salesforce
HubSpot
Data & Identity
Snowflake
Databricks
Okta
Azure AD
OIDC SSO
08

Operators running Apolo agents

Quotes to follow

What operators tell us after the first month.

Real quotes will land in this slot once customer permission is secured. Placeholder structure below shows the layout so the section is ready to swap content into.

Operator quote

“The MTR review that used to eat a day of my engineer’s week now finishes before lunch — and the reviewer still makes the final call. That’s the right balance.”

— VP of Operations, Mid-market steel distributor
Operator quote

“We were ready to sign for a six-figure custom build. Apolo had the working agent on our documents in three weeks. The decision made itself.”

— Project Director, Hyperscale data center builder
Operator quote

“Our compliance team needed to see exactly where every document landed and who touched it. Audit trail is baked into every Apolo agent. That’s table stakes for us, and most vendors don’t have it.”

— Compliance lead, Energy operator
Talk to us

See Apolo agents on your own data.

Tell us the workflow your team is wrestling with: certificates piling up, jobsite photos nobody's reviewing, motors drifting toward failure, RFIs burning cycles. We'll show you which agent fits and what a pilot looks like on your own data.

2,500+
GPUs under management
Weeks
Pilot to production
19+
agents in the catalog
09

FAQ

The questions

The questions operators ask us first.

What is the Industrial Agent Platform?

The Industrial Agent Platform is Apolo's catalog of pre-built AI agents for mid-market operators in asset-heavy industries, plus the forward-deployed engineers who put them into production. Each agent targets one specific workflow (mill test report validation, jobsite photo intelligence, RFI triage) and ships with the industry rules and acceptance criteria already encoded. You get a product, not a project.

How long does deployment take?

Weeks, not quarters. A typical agent pilot runs on your own documents within a few weeks of kickoff. No 6–12 month implementation. No internal AI team required.

Does Apolo use OpenAI or Anthropic?

No. Apolo manages private GPU infrastructure through infrastructure partnerships and serves open-weight models inside customer-controlled environments. Customer data is never sent to third-party LLM providers.

Where is my data processed?

Inside your own infrastructure, in an Apolo-managed sovereign environment, or in your cloud account, whichever you choose. Data never leaves your control.

What compliance certifications does Apolo hold?

ISO 27001 and SOC 2 Type 2, with continuous compliance monitoring, PII scanning, audit logging, and bias / leakage checks.

How is Apolo different from Databricks, Palantir Foundry, or C3 AI?

Those are horizontal platforms that expect an internal AI team to build on top. Apolo delivers finished, working agents for specific industry workflows. No AI team required. No 6–12 month build.

Does MTR CrossCheck replace quality engineers?

No. It removes manual line-by-line review so engineers focus on decisions, flagged cases, and exceptions. The reviewer always makes the final call.