AI that bends to your business — not the other way around.

AI Launchpad delivers pre-built, customizable, domain-specific AI applications for asset-heavy industries, fully managed and deployed in your private or on-prem environment.

Ultimate SaaS & Technology
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Industry-Specific · Compliance-First

AI Transformation Starts Here

Apolo AI Launchpad

Apolo AI Launchpad enables enterprises in regulated industries with a customizable suite of industry-tailored AI tools and agents, securely deployed in a fully controlled environment and continuously optimized to evolving business requirements.
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Apolo for Data Centers

Apolo empowers colocation, bare-metal, telco, and hybrid cloud providers with a secure, multi-tenant, white-label GPU-as-a-Service platform featuring integrated billing and enterprise-grade MLOps, transforming them into AI powerhouses.
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Trusted by leading institutions worldwide

AI Built Around Real Workflows

How Apolo AI Launchpad works

Secure Pre-Built AI Apps for Your Industry

The Launchpad shortens the path from pilot to production. No 6–12 month implementation. No internal AI team required.
What's inside each AI Launchpad?
Apps that adapt to the operator: Traditional SaaS forces your team to adapt to the software. Launchpad apps adapt to your workflows, documents, and rules. The app fits around your team, not the other way around.
Security & Compliance-Ready Infrastructure: Every app deploys on-prem, in an Apolo-managed sovereign environment, or in your own cloud account. ISO 27001. SOC 2 Type 2. No data leaves your environment. No dependency on OpenAI or Anthropic APIs.
Industry knowledge built in: Generic AI fails in asset-heavy industries because it doesn't understand the domain. Custom development costs millions. Launchpad apps come with the industry rules, formats, and acceptance criteria already encoded — ready to customize, not build from scratch.
SECURITY & compliance

Private infrastructure. No public cloud. No API dependencies.

Every Launchpad app 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.
Enterprise-Grade Compliance: ISO 27001 and SOC 2 Type 2. Continuous compliance monitoring, PII scanning, audit logging, and bias/leakage checks keep environments audit-ready.
Data stays where it belongs: On-prem, Apolo-managed sovereign, or your own cloud account. Nothing shared with third-party LLM providers.
Access built for regulated teams: OIDC SSO, role-based access control, TLS encryption, and multi-tenancy for departmental or business-unit isolation.
HOW AI LAUNCHPAD WORKS

Deploy Fast. Scale Securely. Deliver AI Value Instantly.

Apolo AI Launchpad shortens the path from pilot to production, so you start capturing ROI sooner.

Choose your infrastructure

Deploy Apolo on your existing environment or use our secure, compliant, GPU-ready data center partners. Encryption, RBAC, and privacy controls are built in from the start.

Select your AI apps

Explore our catalog of pre-trained AI applications and AI agents built for your domain. Activate only what your teams need.

Go live. Fully managed

We handle deployment, scaling, monitoring, and MLOps. No DevOps headaches. No internal AI team required. Just secure, reliable performance from day one and endless scalability for day two.
industries

Built for the industries generic AI can't serve

Asset-heavy operations with physical assets, compliance requirements, and document-intensive workflows — the work where AI adoption has lagged, and where specialized apps actually move the needle.
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Integrated with the systems you already trust

Connect Apolo AI Launchpad to your existing ERP, CRM, ITSM, and data platforms—while meeting SOC 2 and ISO 27001 from day one. No middleware or custom code required.
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Compliant
Keep data on-site and meet ISO 27001, SOC-2, HIPAA, and other regulations out-of-the-box.
Pre-Trained Apps
Launch production-grade models pre-trained for your industry. No costly build cycles, just real results from day one.
No AI Team Needed
Skip the hiring. Apolo solves AI/ML development — so you can launch and scale AI workflows without an internal data science team.
Secure GPU Cloud
Run on dedicated GPU clusters with full tenant isolation, TLS encryption, and 24/7 platform monitoring baked in.
Featured apolo ai launchpad applications

Apps built around one workflow

Every AI Launchpad app targets one specific operational workflow — not a generic dashboard, not a platform your team has to configure from scratch.
Each one ships with the industry rules, formats, and acceptance criteria already built in, and adapts to the way your team already works.
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MTR CrossCheck

Manufacturing · Metals distribution

Mill test report validation across every mill format your pipeline touches. 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. The reviewer always makes the final call.

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SiteLens

Data center · construction

Jobsite photos, turned into structured progress and quality data. 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

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 so design feedback compounds.

Under the hood

The infrastructure that makes Apolo AI Launchpad possible

Apolo manages 2,500+ GPUs through infrastructure partnerships across the U.S. and Europe, plus a managed MLOps platform underneath every app.
Private, Apolo-controlled, not public cloud. Available directly for operators who need dedicated capacity or a white-label platform.
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Private GPU Resources

Reserved NVIDIA H100, H200, B200, and B300 capacity. Predictable commitment-based pricing. No spot markets, no noisy neighbors, no shared queues. A full MLOps platform with human support included by default.
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Apolo AI Platform

For colocation, bare-metal, telco, and hybrid cloud operators. A secure, multi-tenant, white-label GPU-as-a-Service platform with integrated billing and enterprise-grade MLOps.
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Apolo solutions

Scalable and flexible approach to meet your business needs

Apolo AI Launchpad

Create your website with more than 25 unique pages that will attract visitors and drive revenue for your business.
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Apolo GPU-as-a-Service

Choose from over 45 sections with perfectly responsive layouts to make your site stand out from the rest
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Apolo Data Center Platform

Changing the template style is super easy with the included styles and symbols. You'll be able to switch it up in no time!
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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