We're entrepreneurs talking to entrepreneurs—not engineers showing off vocabulary. This glossary explains the technical terms in plain business language so you can make informed decisions about AI infrastructure.
What it means: Software that can learn patterns from data and make decisions without being explicitly programmed for every scenario.
Why it matters for your business: Instead of hiring someone to manually review every maintenance ticket or appraisal request, AI can handle routine decisions at scale while flagging unusual cases for human review. Think of it as a smart assistant that gets better with experience.
What it means: The AI engine that understands and generates human language—like ChatGPT, Claude, or Google's Gemini.
Why it matters for your business: This is the "brain" that reads your documents, answers questions, and writes reports. Different LLMs have different strengths (speed, accuracy, cost), which is why our infrastructure is model-agnostic—you're not locked into one vendor.
What it means: Our infrastructure works with any AI provider (OpenAI, Anthropic, Google, open-source models).
Why it matters for your business: You're not locked into one vendor's pricing or capabilities. If a better, cheaper, or more specialized AI comes along, you can switch without rebuilding your entire system. It's like having a car that can run on gas, electric, or hydrogen—whatever makes sense for your situation.
What it means: Before the AI answers a question, it first searches your company's documents to find relevant facts, then uses those facts to generate an accurate response.
Why it matters for your business: This prevents "hallucinations" (AI making up answers). Instead of the AI guessing, it cites your actual maintenance logs, appraisal data, or inventory records. Every answer is traceable to a source document—critical for compliance and liability.
What it means: Your proprietary database of industry-specific information that competitors can't easily replicate.
Why it matters for your business: Generic AI knows general information. A knowledge moat is your competitive advantage—years of maintenance records, appraisal comparables, or supplier pricing that makes your AI smarter than anyone else's in your vertical. We help you build and protect this asset.
What it means: A way to convert text into numbers so the AI can quickly find similar documents or concepts.
Why it matters for your business: This is how the AI searches thousands of documents in milliseconds. When someone asks "What's the failure rate for HVAC units in coastal climates?", vector embeddings help the AI instantly find relevant maintenance records—even if they use different wording.
What it means: When AI confidently makes up false information because it doesn't have access to real data.
Why it matters for your business: This is why we mandate RAG-first architecture. An AI that hallucinates appraisal values or maintenance schedules creates massive liability. Our systems eliminate this by grounding every response in your verified documents.
What it means: An independent audit that verifies a company has proper security, availability, and data protection controls.
Why it matters for your business: If you're handling customer data or financial information, enterprise clients will require SOC2 compliance before signing contracts. Our infrastructure is SOC2 Type II ready, so you inherit that certification without building it yourself.
What it means: Federal regulations for protecting patient health information.
Why it matters for your business: If your AI touches healthcare data (patient records, insurance claims, medical scheduling), HIPAA compliance is mandatory—not optional. Violations carry severe penalties. Our Communication and Operations chassis are HIPAA-ready out of the box.
What it means: A permanent record of who accessed what data, when, and what actions they took.
Why it matters for your business: When regulators, auditors, or lawyers ask "How did your AI reach this decision?", you need receipts. Audit trails show the source documents used, the logic applied, and who approved the output. This protects you legally and builds customer trust.
What it means: Pre-built AI infrastructure frameworks for specific business functions (operations, valuation, verification, communication).
Why it matters for your business: Instead of building AI from scratch (12-18 months, $500K-$2M), you start with a proven chassis and customize it for your vertical (3-6 months, fraction of the cost). Think of it like buying a truck chassis and adding your specialized equipment—faster and cheaper than designing a vehicle from the ground up.
What it means: A standardized way for different software systems to communicate with each other.
Why it matters for your business: APIs let your AI connect to your existing systems (CRM, ERP, accounting software) without custom coding. Our chassis include REST APIs and webhooks, so your AI can automatically pull data from and push results to the tools you already use.
What it means: Cloud means the software runs on someone else's servers (AWS, Azure, Google). On-premises means it runs on your own servers in your building.
Why it matters for your business: Cloud is faster to deploy and easier to scale, but some industries (defense, finance) require on-premises for data sovereignty. Our chassis support both, plus hybrid deployments (sensitive data on-prem, everything else in cloud).
What it means: Technology that reads text from images or scanned documents and converts it into editable, searchable data.
Why it matters for your business: Instead of manually typing serial numbers, part codes, or invoice data, OCR automatically extracts it from photos or PDFs. Our Verification Chassis uses OCR to eliminate data entry errors—reducing mistakes by 90% in warehouse operations.
What it means: Virtual boundaries around physical locations that trigger actions when someone enters or exits.
Why it matters for your business: Ensures inventory scans happen at the right location (not someone scanning items at home). Prevents fraud, improves accuracy, and provides proof of physical presence for compliance. Our Verification Chassis uses geofencing to validate that parts are actually received at the warehouse.
What it means: A retirement account that lets you invest in alternative assets like private companies, not just stocks and bonds.
Why it matters for your business: Entrepreneurs can use retirement funds to invest in their own AI venture without penalties or taxes. It's a compliant, tax-deferred way to access $50K-$500K in capital you already have. We provide the technical due diligence reports that SDIRA custodians require.
What it means: A structure that lets you use retirement funds to capitalize a C-corporation without triggering early withdrawal penalties.
Why it matters for your business: Similar to SDIRA but with more flexibility for active business involvement. You can be an employee of the company and draw a salary. Requires careful IRS compliance—our founder has 20 years of ROBS structuring experience to guide you.
What it means: SEC-regulated method to raise up to $5M annually from non-accredited investors via platforms like Wefunder or StartEngine.
Why it matters for your business: Opens funding to a broader investor base beyond wealthy accredited investors. Requires public disclosure and ongoing reporting, but provides access to capital from customers, community members, and small investors who believe in your vertical AI application.
What it means: Technical due diligence that validates your AI architecture, compliance readiness, and funding eligibility.
Why it matters for your business: Before custodians approve SDIRA/ROBS funding or platforms list your Crowd Funding campaign, they need proof your AI isn't vaporware. Our venture audit provides the documentation they require, plus identifies technical risks before you invest capital.
What it means: The financial return you get compared to what you invested, usually expressed as a percentage or dollar amount.
Why it matters for your business: AI projects must justify their cost. We provide verified ROI metrics for every application (40% reduction in emergency repairs, $18K annual savings, 4.2 hours saved per employee/week) so you can forecast payback periods and present business cases to stakeholders.
What it means: How long it takes for the main content of a webpage to load and become visible.
Why it matters for your business: Slow-loading sites lose customers. Google penalizes slow sites in search rankings. We target LCP under 1.2 seconds because every 100ms delay costs you conversions. Fast sites signal professionalism and technical competence to potential investors.
What it means: A range that shows how certain the AI is about its prediction (e.g., "89% confident this appraisal is accurate").
Why it matters for your business: Not all AI predictions are equally reliable. Confidence intervals help you decide when to trust the AI's recommendation versus when to get human review. High-stakes decisions (expensive repairs, large appraisals) should require high confidence thresholds.
Our venture audit process includes a plain-language explanation of how each technical component applies to your specific business case.
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