At $9,000/minute downtime cost, every second counts. RAG-powered AI retrieves the exact procedure, specification, or incident history you need—in under 30 seconds, with source citations.
Real metrics from data center teams using mojar.ai to transform their operations.
Find critical procedures in seconds instead of 45+ minutes of manual searching.
Cut mean time to resolution from 45 minutes to 15 minutes per incident.
Get the right answer on your first attempt with RAG-powered precision.
Average operational savings per site through faster incident resolution.
Built for mission-critical infrastructure with industry-leading compliance certifications.
RAG technology delivers accurate, grounded answers in under 30 seconds.
Query naturally about procedures, equipment, or incidents
AI scans SOPs, DCIM, runbooks, and vendor docs in milliseconds
Relevant data filtered and enriched with equipment context
Citation-backed answers with zero hallucinations
"CRAH-B7 showing high discharge temperature. What's the emergency procedure for our APC InRow units?"
Here's the emergency response for high discharge temperature on APC InRow cooling units:
Verify setpoint and actual temperature delta
Source: SOP-HVAC-003, Section 4.2
Check coolant flow rate and pressure (min 15 GPM)
Source: APC Technical Manual Rev 4.1, Page 87
Similar incident #3892 resolved by cleaning filters
Source: Incident Database, Dec 2024
From emergency response to capacity planning, mojar.ai transforms how data center teams access and use operational knowledge.
During critical incidents, every second matters. RAG instantly retrieves relevant runbooks, SOPs, and incident history.
Equipment-specific cleaning procedures with ISO classification requirements.
Accurate forecasting powered by historical data and current utilization metrics.
Accelerate new hire proficiency with instant access to all operational knowledge.
Unified operational intelligence across your entire data center portfolio.
Streamline audit preparation with instant documentation retrieval and evidence trails.
ChatGPT doesn't know your equipment, procedures, or incident history. RAG does.
Experience RAG-powered answers grounded in your documentation.
Everything you need to know about implementing AI-powered solutions for your data center operations.
Organizations using mojar.ai report reducing Mean Time to Resolution (MTTR) from an average of 45 minutes to 15 minutes—a 67% improvement. With downtime costs averaging $9,000 per minute (Ponemon Institute), even a single prevented hour of downtime annually delivers significant ROI. Our customers typically see $194K+ in annual savings per site through faster incident response alone.
mojar.ai connects to your Data Center Infrastructure Management (DCIM) systems, SNMP monitoring tools, and ticketing platforms through our modular integration architecture. While we support all major platforms including Schneider Electric StruxureWare, Nlyte, and ServiceNow, our flexible connector framework allows us to build custom integrations for any proprietary or legacy system you're using. Data syncs in real-time, ensuring your AI always has access to current equipment status, capacity metrics, and incident history. Setup typically takes 5-10 days for standard integrations, with custom connectors spun up as needed to match your unique infrastructure.
ChatGPT relies on generic training data with knowledge cutoffs—it doesn't know your specific equipment models, your SOPs, or last week's firmware update. RAG (Retrieval-Augmented Generation) retrieves information from your current documentation and DCIM data in real-time. This means responses are grounded in your specific configurations and procedures. RAG achieves 90% faster information retrieval and 3x improvement in first-query resolution compared to traditional search methods.
Absolutely. Research shows 70% of data center outages could be prevented with proper response coordination. mojar.ai's RAG system retrieves relevant runbooks, SOPs, and incident history in real-time during emergencies. When an alert fires, the AI instantly surfaces the exact procedure for your specific equipment, previous incident resolutions, and vendor documentation—reducing MTTR by 67%. The system works 24/7 and guides on-call technicians through complex procedures step-by-step.
Particulate contamination causes approximately 30% of hardware failures in data centers. mojar.ai surfaces the correct cleaning protocols for each zone's ISO classification level, tracks cleaning schedules, and provides real-time guidance on contamination incidents. Organizations using RAG-powered contamination management report 20-30% fewer contamination-related incidents and significantly reduced hardware replacement costs.
Yes. Traditional capacity planning often relies on incomplete data and manual analysis. mojar.ai integrates historical capacity data, current utilization metrics, and growth trends to provide 85-92% accurate capacity forecasts. Ask questions like 'Can Hall B support 150kW additional load in Q2?' and receive analysis grounded in your actual power distribution, cooling capacity, and stranded capacity identification.
Traditional data center technician onboarding takes 9-12 months to reach full competency. With mojar.ai, new technicians can query for any procedure or specification from day one, reducing time to competency to 4-6 months—a 47% faster learning curve. Research shows technicians with RAG-powered knowledge access commit 50% fewer safety incidents during their first year.
Yes. mojar.ai is pursuing SOC 2 Type II certification, maintains ISO 27001 compliance, and supports GDPR requirements. Your operational data never leaves your infrastructure boundaries—we offer on-premises deployment options and private cloud configurations. All AI interactions are logged with full audit trails for compliance reporting, and we provide detailed security documentation for your security team's review.
mojar.ai processes all standard data center documentation including equipment manuals, SOPs, maintenance runbooks, vendor bulletins, security advisories (CVEs), and compliance audit reports. Supported formats include PDF, Word, Excel, Markdown, and scanned documents with OCR. The AI extracts technical specifications, procedures, and enables natural language queries across your entire documentation library.
mojar.ai supports multi-site deployments with site-specific knowledge bases and our unified querying is on our roadmap. Each site maintains its own equipment inventory, procedures, and configurations while the AI understands context when you ask site-specific questions. Query across sites—'Which facilities have UPS units due for battery replacement in Q1?'—to get unified operational intelligence and standardize best practices across your portfolio.
Yes. mojar.ai significantly accelerates audit preparation by enabling natural language queries across your compliance documentation. Ask questions like 'Show me all NIST 800-53 controls and their implementation evidence' or 'What maintenance was performed on UPS-A3 in Q4?' The AI retrieves relevant documentation, maintenance records, and change logs with full citation trails that auditors can verify.
mojar.ai uses enterprise-grade encryption (AES-256 at rest, TLS 1.3 in transit) and supports air-gapped deployment options. Your data is never used to train our models. We offer data residency controls, role-based access management, and integration with your existing identity providers (SAML/SSO). All queries and responses are logged for security audit purposes.
Join data center operators who've cut MTTR from 45 to 15 minutes, saving $194K+ annually per site.