Apolo
Apolo operates the "Industrial Agent Platform": pre-built, domain-specific AI agents deployed on private GPU infrastructure (2,500+ NVIDIA H100/H200/B200/B300 units) serving enterprise customers in data center construction, manufacturing, oil and gas, construction, energy, mining, finance, and government.
- Company typePrivate
- Founded2019
- HeadquartersFort Lauderdale, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Apolo does
Apolo Cloud Inc. is a private AI infrastructure company founded in 2019 and headquartered in Fort Lauderdale, Florida, operating what it brands as the "Industrial Agent Platform." The company delivers pre-built, customizable, domain-specific AI agents for asset-heavy industrial operations, marketed as the Apolo AI Launchpad. Apolo targets enterprise customers across eight verticals: data center construction, manufacturing (with emphasis on steel service centers, tube suppliers, OCTG distributors, and pipe fabricators), oil and gas, construction, energy, mining, financial services, and local government.
The product portfolio centers on the AI Launchpad — a catalog of workflow-targeted agents including MTR CrossCheck (mill test report validation), SiteLens (jobsite photo classification), PowerSense (electrical monitoring), RFI Insights, SpecMatch, RebateGuard, POGuard, BidTakeoff, BidRFI, DealPulse, ClientOnboard, VendorCompliance, TrustAdvisor, LawLens AI, MayorGPT, HappyMeter, FOIA Assist, 311 Assistant, and Apolo Analytics. Underneath sits a private GPU infrastructure layer of 2,500+ reserved NVIDIA H100, H200, B200, and B300 units running open-weight models served from Apolo-managed capacity rather than OpenAI or Anthropic APIs, with deployment options including on-premise, Apolo-managed sovereign environments, or the customer's own cloud account. The company holds ISO 27001 and SOC 2 Type 2 certifications and exposes Python SDK, CLI, and API tooling.
Apolo operates an enterprise sales-led go-to-market with no self-serve or product-led motion; all customer engagement is initiated through "Book Demo" and "Talk to Sales" CTAs. Revenue is generated through three streams: subscription-based AI Launchpad plans, usage-based GPU-as-a-Service capacity, and a managed-services white-label Apolo AI Platform for data center, colocation, and telco operators. Pricing is quote-based and not publicly disclosed. Named customers include Compass Data Centers, Scott Data, iM Data Centers, Cato Digital, STN, WWT, Green Square DC, Novoserve, LG Nova, Volta Insite, Synthesis AI, Centrobill, and PowerSetter. The company reports 300% revenue growth over the prior year and raised approximately $5.85M in an equity round in December 2024.
Apolo firmographics
Firmographics- Name
- Apolo
- Legal name
- Apolo Cloud Inc.
- Website
- https://apolo.us
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Apolo operates the "Industrial Agent Platform": pre-built, domain-specific AI agents deployed on private GPU infrastructure (2,500+ NVIDIA H100/H200/B200/B300 units) serving enterprise customers in data center construction, manufacturing, oil and gas, construction, energy, mining, finance, and government.
- Ownership category
- akta.pro rank
Apolo industry classification
Industry- Product category
- Industrial AI Platform
- NAICS
- Software Publishers (51321), Software Publishers (513210), Computer Systems Design and Related Services (5415)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Intelligent Document Processing (IDP) & OCR Automation (HDAEAHAC), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF)
Keywords
Where Apolo is headquartered
LocationHeadquarters
- HQ city
- Fort Lauderdale
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Apolo business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- AI Launchpad Subscriptions: Domain-specific AI agents and applications delivered as subscription services on private GPU infrastructure. Pricing based on commitment-based plans with GPU capacity allocation.
- GPU-as-a-Service: Provision of private GPU resources (H100, H200, B200, B300) as a service for ML/AI development, training, and inference workloads. Commitment-based pricing with predictable rates.
- White-label Platform: Apolo AI Platform offered as white-label solution for data center operators, colocation providers, and telco operators with integrated billing and MLOps capabilities.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise commitment-based GPU pricing |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels6 records
Apolo product offering
Product offeringCore offering
Apolo delivers pre-built, customizable, domain-specific AI agents for industrial operations through its Apolo AI Launchpad platform. The agents target document-heavy, regulated workflows in asset-heavy industries (data center construction, manufacturing, oil & gas, construction, energy, mining, financial services, and government) and are deployed on private GPU infrastructure managed by Apolo, including 2,500+ reserved NVIDIA H100, H200, B200, and B300 GPUs. The platform also offers a white-label GPU-as-a-Service infrastructure layer for data center, colocation, bare-metal, telco, and hybrid cloud operators.
Product overview
Apolo offers two main product lines: (1) Apolo AI Launchpad - a platform of pre-built, customizable, domain-specific AI agents deployed on private/on-prem infrastructure, and (2) Apolo GPUs/AI Platform - underlying GPU-as-a-Service infrastructure. The AI Launchpad platform includes core agents like MTR CrossCheck (mill test report validation), SiteLens (jobsite photo QA), PowerSense (electrical monitoring), RFI Insights (RFI triage), and industry-specific solutions for manufacturing, construction, oil & gas, energy, mining, finance, and government. Infrastructure offerings include Apolo GPUs with 2,500+ private NVIDIA H100/H200/B200 GPUs and a white-label GPU-as-a-Service platform for operators. The company also offers a marketplace of third-party integrations including PrivateGPT, Support Chatbot, AI retail solutions, and analytics tools.
Differentiator
Problem solved
Functional benefit
Brands
- AI Launchpad: Pre-built, customizable, domain-specific AI agents for industrial companies deployed in private or on-prem environments.
- Apolo AI Platform
- Apolo GPUs
Products and services
- Apolo AI Launchpad Core platform delivering pre-built, customizable, domain-specific AI agents for industrial companies in data centers, manufacturing, oil & gas, construction, energy, mining, finance, and government. Agents are fully managed, deploy in private or on-prem environments, and come with industry rules, formats, and acceptance criteria already encoded.
- MTR CrossCheck AI-powered mill test report validation for steel pipe distributors and supply chain partners. Ingests MTRs in any format from any mill and cross-checks chemistry, mechanicals, dimensions, test results, and marking requirements against buyer specifications including ASTM, ASME, and API 5L/5CT/5B standards.
- SiteLens Jobsite photo QA tool that pulls photos from Procore and direct uploads and classifies every image by building area, trade, work activity, and issue type. Provides plain-language search across every site, building, and date with a full audit trail.
- PowerSense Electrical monitoring powered by Volta Insite. Non-invasive sensors clamp onto electric equipment to capture current, voltage, and waveform shape at one-second intervals. AI ranks alerts by business impact and applies facility escalation rules.
- RFI Insights RFI triage and response drafting for project engineers. Classifies incoming RFIs by discipline and issue type, pulls relevant drawings and submittals, drafts responses for engineer review, and clusters similar RFIs across buildings and campuses.
- SpecMatch Reads customer specifications in any format, aligns them to a structured parameter model, and evaluates each spec against available MTRs automatically. Explains mismatches including complex specs with dependencies and references.
- RebateGuard Automated rebate reconciliation for distributors with complex vendor waterfalls. Models vendor rebate waterfalls including cash discounts, freight deductions, pallet charges, marketing funds, and cascading EOM/EOQ/EOY calculations, validating line-item accruals against vendor-issued payments.
- POGuard Branch-level purchase order recommendations that respect working-capital picture. Analyzes ERP data, branch burn rates, shipment cycles, job pipeline, vendor lead times, and external signals like seasonality and weather to produce PO recommendations, truckload optimization, and working-capital impact simulations.
- BidTakeoff Automated takeoff for complex industrial drawing packages. Ingests isometric and other industrial drawings at scale, identifies components like pipes, valves, and flanges, and generates structured quantity outputs compatible with estimating workflows.
- BidRFI Bid-package gap analysis and RFI generation before the clarification window closes. Reviews bid packages including technical specifications and drawing sets to identify missing information, inconsistencies, and potential risks, producing a prioritized list of suggested RFIs.
- DealPulse Early warning on sales communication risk. Continuously analyzes client-facing email exchanges evaluating tone, sentiment trends, escalation signals, and adherence to communication guidelines, classifying conversations as healthy, early warning, or immediate attention.
- ClientOnboard Conversational client onboarding that cuts manual paperwork and duplicate data entry. Guides new clients through onboarding via chat, collects required information, populates forms, answers common questions, and handles KYC data entry and compliance checks.
- VendorCompliance Vendor onboarding and compliance tracking automated end-to-end. Collects vendor information through conversational interface, auto-fills forms, runs background and compliance checks, tracks renewals and review dates, and syncs with CRM and ERM systems via API.
- TrustAdvisor Fast, cited reference into trust and estate document library. Answers questions against a firm's repository and returns the exact excerpt and source document for verification.
- LawLens AI Semantic search across laws, regulations, and ordinances. Locates relevant legal passages in state laws and regulations in seconds, retrieving precise excerpts instead of pages of statute.
- MayorGPT AI-driven civic assistant for citizen communication and request handling. Handles citizen questions, reports, and routine communications with conversational answers that keep context across exchanges.
- HappyMeter Citizen sentiment monitoring across surveys, contact centers, emails, and social. Aggregates constituent feedback channels into a single dashboard monitoring sentiment trends, emerging issues, and response quality.
- FOIA Assist Public records processing with AI-assisted triage, search, and redaction. Summarizes incoming requests, surfaces comparable historical responses with confidence scoring, searches semantically across document archives, and automates redaction of PII and sensitive content.
- 311 Assistant Always-on 311 intake that classifies, prioritizes, and routes. Handles citizen reports including potholes, broken streetlights, stray animals, and service requests with instant answers, classification, priority setting, and routing to the right department.
- Apolo Analytics Natural-language analytics over operational data. Automates data preparation, unifies sources without manual ETL, and lets business users explore insights in plain language instead of BI dashboards.
- Apolo GPUs GPU-as-a-Service offering with 2,500+ private GPUs including reserved NVIDIA H100, H200, B200, and B300 capacity. Predictable commitment-based pricing with full MLOps platform and human support included, without spot markets, noisy neighbors, or shared queues.
- Apolo AI Platform Secure, multi-tenant, white-label GPU-as-a-Service platform for colocation, bare-metal, telco, and hybrid cloud operators. Includes integrated billing and enterprise-grade MLOps to enable operators to deliver GPU capacity under their own brand.
Quantifiable outcome
- 80% reduction in MTR review cycle time
- +3 more outcomes
Companies that use Apolo
Customer profileNamed customers13 records
Segments8 records
Ideal customer profiles5 records
Apolo technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability11 records
Feature18 records
Apolo partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Volta InsitecoreTechnology partnership where Volta Insite's electrical monitoring technology powers the PowerSense AI Launchpad agent. Sensors from Volta capture electrical data that Apolo's platform processes and ranks by business impact for facilities engineers and operations teams.
Scale indicators7 records
Recent moves6 records
Expansion highlights6 records
Apolo competitors and assessment
Company assessmentDirect peers
- C3.ai: Enterprise AI platform selling pre-built, industry-specific AI applications to asset-heavy customers (oil & gas, manufacturing, financial services). Closely comparable to Apolo in target verticals and pre-built agent model, though C3.ai operates at significantly larger scale.
- Landing AI: Industrial AI company specializing in computer vision and document understanding for manufacturing and industrial customers. Comparable through SiteLens-style visual workflow automation and manufacturing focus.
- CoreWeave: Private GPU cloud provider offering reserved NVIDIA capacity and AI infrastructure. Directly comparable to Apolo's GPU-as-a-Service and white-label platform offerings, though CoreWeave operates at vastly greater scale.
- H2O.ai: Enterprise AI platform providing pre-built AI applications and an MLOps layer for regulated industries. Comparable to Apolo's pre-built agents + managed MLOps platform combination.
- Lambda: GPU cloud and AI infrastructure provider with deep NVIDIA partnerships serving AI/ML workloads. Comparable to Apolo's private GPU infrastructure positioning for AI development and inference.
- Uptake: Industrial AI platform serving asset-heavy operators with predictive and workflow-AI products. Comparable focus on industrial workflows, asset-heavy customers, and pre-built models rather than generic ML tooling.
- DataRobot: Enterprise AI platform offering pre-built ML models and MLOps for regulated industries. Comparable to Apolo's enterprise-AI-platform approach and pre-built-agent positioning, though DataRobot's portfolio is broader and more horizontal.
- SparkCognition: Industrial AI vendor delivering domain-specific AI solutions for asset-heavy industries including energy, manufacturing, and defense. Comparable in the industrial-AI, domain-agent positioning that distinguishes Apolo from generic platforms.
Broad incumbents
- Palantir Technologies: Enterprise data and AI platform with deep presence across government, energy, manufacturing, and financial services. Comparable customer segments and on-prem/private deployment positioning, though Palantir operates at much larger scale and a broader scope.
- Databricks: Unified data and AI platform used across regulated enterprises with MLOps, agents, and private deployment. Comparable on the enterprise AI platform layer, though Databricks' portfolio is far broader and not specifically focused on pre-built industrial agents.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Apolo social profiles
Digital presenceApolo compliance and trust
Trust signalCompliance2 records
Apolo financial estimates
Financial estimateRevenue estimate
Valuation estimate
Apolo leadership team
Management profileNumber of profiles
Profiles3 records
Apolo funding detail
Funding detailFunding overview
Funding rounds1 record
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Apolo M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Apolo
What does Apolo do?
Apolo delivers pre-built, customizable, domain-specific AI agents for industrial operations through its Apolo AI Launchpad platform. The agents target document-heavy, regulated workflows in asset-heavy industries (data center construction, manufacturing, oil & gas, construction, energy, mining, financial services, and government) and are deployed on private GPU infrastructure managed by Apolo, including 2,500+ reserved NVIDIA H100, H200, B200, and B300 GPUs. The platform also offers a white-label GPU-as-a-Service infrastructure layer for data center, colocation, bare-metal, telco, and hybrid cloud operators.
Is Apolo a public or private company?
Apolo is a private company. It is classified as venture growth investor backed and is currently operating.
When was Apolo founded?
Apolo was founded in 2019. It employs 51 to 100 people.
Where is Apolo based?
Apolo is headquartered in Fort Lauderdale, United States, in the North America region.
How does Apolo make money?
Three revenue lines are on record. AI Launchpad Subscriptions are the primary driver. The others are GPU-as-a-Service and white-label Platform.
Who are Apolo's main competitors?
Direct peers on record are C3.ai, Landing AI, CoreWeave, H2O.ai, Lambda, Uptake, DataRobot and SparkCognition. Broad incumbents are Palantir Technologies and Databricks.
Does Apolo have an API?
Yes. Apolo provides a Python SDK (apolo-python-sdk) and CLI (apolo-cli) for interacting with the platform. The platform supports jobs, environments, and storage. Users work with jobs running in Docker containers on allocated CPU/GPU/memory presets with storage instances attached. Configuration is managed via .neuro/live.yaml files, and workflows can be automated using the Flow CLI (apolo-flow). Documentation available at docs.apolo.us covering platform concepts, CLI reference, Python SDK, and examples. Developer documentation is at docs.apolo.us.
What industry is Apolo in?
Apolo's product category is Industrial AI Platform. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAAAKAL, Audit, Explainability & Accountability Tooling (traceability, reporting). Its NAICS code is 51321 and its SIC code is 7372.