Ontology-Driven AI Solutions
AI That Understands
Your Business
We build ontology-powered AI systems that model your operations as structured knowledge — then deploy agents that act on it. Claude Teams · Microsoft Copilot · Local LLM on NVIDIA DGX Spark.
7
Industry Verticals
3
Proprietary AI Agents
HIPAA
Compliant Infrastructure
Local
LLM On-Premise Inference
The Ontology
Your Business, Modeled as Knowledge
Most AI deployments fail because the model has no grounded understanding of your operations. ISWIZ AI builds an ontology — a structured, semantic model of your business objects, relationships, and processes — before a single agent is deployed. The result is AI that reasons correctly, not AI that guesses plausibly.
Object Layer
Every business entity — client, matter, asset, transaction — is modeled as a typed object with versioned properties. Your data gains identity, not just rows.
Relationship Graph
Objects connect through semantic links: ownership, causality, dependency, sequence. The graph makes implicit knowledge explicit and queryable.
Action Layer
AI agents operate on the ontology — reading state, triggering workflows, writing outcomes — without hallucinating context they were never given.
Governance & Audit
Every read, write, and inference is logged against the ontology. Compliance is structural, not procedural — built into the data model itself.
Research & Infrastructure
DGX Spark Grace Blackwell
ISWIZ AI's research division operates on the NVIDIA DGX Spark Grace Blackwell platform — delivering air-gapped, GPU-accelerated inference and fine-tuning for HIPAA, CJIS, and SOC 2 sensitive workloads. Our proprietary agent stack runs entirely on-premise: no data leaves your environment.
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Orchestration
Autonomous multi-agent coordination layer. Routes tasks across specialized sub-agents, manages context windows, resolves conflicts, and maintains a persistent task graph across sessions.
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Model Interface
Unified LLM abstraction engine. Manages provider APIs — Anthropic, OpenAI, local GGUF — behind a single interface with fallback routing, cost controls, and prompt versioning.
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Domain Adaptation
On-premise fine-tuning pipeline. Handles dataset curation, LoRA adapter training, evaluation, and deployment of domain-specific models on the DGX Spark Grace Blackwell platform.
Claude Teams Deployments
Purpose-Built for Your Industry
Law Firms
Secure Claude Teams deployments for litigators and transactional attorneys: brief drafting, discovery summarization, deposition prep, and matter-specific knowledge bases — all governed by attorney-client privilege controls.
Accountants & CPAs
Tax season force-multiplier: IRS code research, document intake and OCR triage, client memo generation, automated deadline tracking, and engagement-letter drafting — with SOC 2 controls protecting client financials.
Commercial Real Estate
Accelerate brokerage and asset management: lease abstraction, CoStar/LoopNet market analysis, investment memo drafting, tenant correspondence, and acquisition due-diligence workflows tailored for CRE professionals.
CNC & Manufacturing
Shop-floor intelligence: G-code review, toolpath optimization, maintenance scheduling, supplier RFQ automation, and ISO 9001 documentation workflows — keeping machines running and paperwork off the floor.
Surgical Practices
Pre-op briefing generation, surgical note dictation, CPT/ICD coding assistance, prior authorization drafting, and HIPAA-compliant patient communication — all air-gapped on local LLM infrastructure.
Dental Practices
Treatment plan narratives, insurance pre-authorization letters, patient recall campaigns, OSHA compliance documentation, and front-desk scheduling automation — purpose-built for dental workflows.
Retail & E-Commerce
Product description generation at scale, inventory demand forecasting, customer service deflection, loyalty program automation, and multi-channel campaign orchestration — from SKU to sale.
Platform Services
End-to-End AI Automation
Contact
ISWIZ AI
San Antonio, TX — serving existing clients exclusively.
Address
613 NW Loop 410
San Antonio, TX 78216