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.
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.
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.
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.
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.
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.
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.
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.
Pick a workflow that already costs your team hours every week.
Tell us the workflow. Document review, RFI triage, jobsite QA, vendor onboarding. Start with what already eats your team's time.
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.
Nothing leaves your perimeter. Every deployment compounds on the platform's understanding of your operation.
A shared foundation that turns industrial workflows into production agents. Five layers, integrated into your environment by forward-deployed engineers.
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.
Why industrial operators pick Apolo over building it or buying horizontal AI platforms.
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.
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.
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.
Most enterprise AI platforms take 6–12 months to implement. An Apolo agent runs on your workflow in weeks.
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.
EPCs, general contractors, and commissioning teams managing RFIs, submittals, drawings, and jobsite photos across prototypical multi-building programs.
Steel service centers, tube suppliers, OCTG distributors, and pipe fabricators validating mill test reports at volume.
Upstream, midstream, and oilfield services operators with compliance documentation, equipment inspection, and field operations.
Utilities, power generation, and energy infrastructure operators handling inspection workflows, field reporting, and regulator-facing documentation.
General and specialty contractors on large commercial and industrial builds. Submittal review, QA documentation, and project intelligence without the manual grind.
Mining operators with equipment inspection, compliance documentation, and field reporting workflows.
Trusts, funds, banks, credit unions, and fintech teams. Private, compliance-aligned AI for regulated operations.
Municipal operations, citizen engagement, and policy work. LawLens AI, MayorGPT, BudgetIQ, and HappyMeter.
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.
On-prem, Apolo-managed sovereign, or your own cloud account. Nothing shared with third-party LLM providers.
ISO 27001 and SOC 2 Type 2. Continuous compliance monitoring, PII scanning, audit logging, and bias/leakage checks keep environments audit-ready.
OIDC SSO, role-based access control, TLS encryption, and multi-tenancy for departmental or business-unit isolation.
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.
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 →For colocation, bare-metal, telco, and hybrid cloud operators. A secure, multi-tenant, white-label MLOps platform.
See Apolo mlops →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.
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.
“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.”
“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.”
“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.”
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.
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.
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.
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.
Inside your own infrastructure, in an Apolo-managed sovereign environment, or in your cloud account, whichever you choose. Data never leaves your control.
ISO 27001 and SOC 2 Type 2, with continuous compliance monitoring, PII scanning, audit logging, and bias / leakage checks.
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.
No. It removes manual line-by-line review so engineers focus on decisions, flagged cases, and exceptions. The reviewer always makes the final call.