Build AI That Knows Your Business. Keep Your Data Where It Belongs.
The week of October 19, 2025, AWS went down for nearly 15 hours after a DNS race condition in DynamoDB cascaded through US-East-1. Nine days later, a faulty Azure tenant configuration grounded Alaska Airlines flights for the third time in a year. Three weeks after that, Cloudflare took X, ChatGPT, and roughly 19 million U.S. websites offline.
Every one of those outages took customer AI workloads down with them.
Your AI strategy deserves better than borrowed infrastructure and shared blast radius. IntelliData builds private, business-specific AI on infrastructure we own, operate, and support — with a named engineer who knows your environment by name.
The Problem With "Public" AI for Real Businesses
Public AI tools answer broad questions well. They do not understand:
- Your SOPs, contracts, and compliance obligations
- Your terminology, approval workflows, and operating cadence
- Which data must never leave your environment
- The audit trail your regulator expects to see next quarter
And when you push sensitive prompts into a shared platform, you inherit every problem that platform has — including its outage history, its egress fees, and its ticket-queue support model.
With hyperscalers, your AI runs alongside millions of other tenants. With IntelliData, it runs on infrastructure designed around your business, supported by engineers who answer the phone.
What We Build
🧠 Private AI Knowledge Assistants
Internal assistants that retrieve answers from your approved documentation — SOPs, contracts, technical docs, HR materials, compliance records, support history — without sending a single page to a public model. Employees stop hunting through file shares and start acting on accurate, sourced answers.
📄 Secure Document Intelligence
Summarize long contracts. Extract obligations. Compare policy versions. Convert unstructured records into structured outputs. Especially valuable for firms operating under 21 CFR Part 11, HIPAA, CMMC, or SOC 2 — where document control is the audit.
⚙️ Workflow-Embedded AI
AI that lives inside the work, not beside it: client onboarding, proposal generation, compliance evidence prep, ticket triage, risk review, vendor evaluation, incident response.
🔬 Custom Model Strategy
Not every use case needs a fine-tuned model. We help you choose the right architecture — private LLM, RAG, vector search, structured prompting, fine-tuning, or a hybrid — based on your data sensitivity, performance targets, and business outcomes.
👥 Department-Specific AI Copilots
Different teams, different workflows, different copilots:
| Department | Copilot Capabilities |
|---|---|
| Operations | SOP guidance, exception handling, task routing |
| Finance | Policy lookup, report summarization, variance support |
| HR | Handbook Q&A, onboarding guidance, policy interpretation |
| Compliance | Control mapping, evidence organization, audit prep |
| Legal | Contract summarization, clause search, redline comparison |
| Customer Support | Approved-response guidance, ticket summarization |
| IT | Runbook assistance, incident documentation |
| Executive Leadership | Operational briefs, decision-support summaries |
Why Private Infrastructure Matters for AI
1. Your Data Stays Yours
Internal documents, prompts, customer records, and business logic remain inside an environment you control. Nothing trains a shared model. Nothing leaks into a public ecosystem.
2. Performance Designed for AI Workloads
GPU-ready compute. SSD-backed storage. Unlimited bandwidth. No noisy neighbors throttling inference when another tenant runs a training job on the same hardware.
3. Compliance Built In, Not Bolted On
IntelliData maintains a SOC 2 Type 2 attestation covering Security, Availability, Processing Integrity, Confidentiality, and Privacy — examined under TSP 100 criteria for the IntelliData Hosting Platform (per our SOC 2 Type 2 engagement documentation). HIPAA posture is configuration-dependent and standard in our compliance-aware deployment.
4. Flat, Predictable Pricing
One monthly fee. Firewall, backups, and human support included. No egress fees the month you actually use your AI.
5. A Named Engineer Who Knows Your Stack
When something needs attention, you reach the person who built your environment — not a tier-one queue. Response times are documented in our SLA, from Level 5 critical (under 1 business hour) to Level 1 inquiries (under 1 business day) — request current terms.
How We Engage
1. Discovery & Use Case Prioritization — We identify the highest-value AI opportunities in your operation. No vague experimentation.
2. Architecture & Private Cloud Design — Private LLM environment, GPU sizing, vector database, access controls, governance — designed around your reality.
3. Data Preparation & Knowledge Engineering — Ingestion, chunking, metadata, permissions, terminology alignment. Clean data is the difference between an AI that helps and an AI that hallucinates.
4. Model Configuration & Application Development — Chatbots, copilots, search tools, summarization workflows, role-based assistants, API integrations.
5. Testing, Validation & Governance — Response quality, source citation, permission boundaries, escalation logic, feedback loops.
6. Deployment & Continuous Improvement — Performance monitoring, model refinement, new use case development. Your engineer stays engaged.
The Hyperscaler Contrast
| AWS / Azure | IntelliData | |
|---|---|---|
| Support | Ticket queues, tiered escalation | A named engineer who knows your environment |
| Pricing | Variable, egress fees, surprise bills | Flat monthly fee, everything included |
| Performance | Shared tenancy, throttled bandwidth | Dedicated resources, SSD/GPU, unlimited bandwidth |
| Compliance | DIY shared-responsibility model | SOC 2 Type 2-audited; architected for HIPAA - aligned environments |
| Outage Profile | Region-wide cascades (DynamoDB Oct 2025; Azure Oct 2025) | Isolated, smaller blast radius |
| Relationship | You are an account number | You are a partner |
What You Gain
- Faster access to internal knowledge — answers in seconds, not searches in minutes
- Documentation that finally pays for itself — policies and SOPs become active resources
- Sensitive data that stays sensitive — private environment, controlled access, audit-ready
- A real AI strategy — not a stack of disconnected pilots
- Predictable spend — flat monthly fee, no egress surprises
- A partner who answers the phone — when adoption grows and use cases evolve
Ready to Build AI on Infrastructure You Control?
Public AI gives you access. IntelliData Private AI gives you control, performance, compliance, and a named engineer who knows your name.
Talk to a real engineer — not a sales bot →
Partner with real people who care about your uptime, your data, and your budget.
