Industries
AI built around your industry.
Because generic doesn't cut it.
Every industry handles data differently, operates under different pressures, and has different relationships with the software that runs it. Generic AI tools are built for the broadest possible market — which means they're optimized for no one in particular. These pages are written for specific industries, with specific workflows, specific data concerns, and specific value in mind.
If you use industry-specific software — and most organizations do — we don't ask you to replace it. We work around it, between it, and beyond what it covers. If you're building your technology foundation from scratch, we help you get there.
Financial Services
Financial Services industries
Community & Regional Banks
Customer data, loan documents, credit models, and strategic intelligence that defines your competitive position.
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CPA Firms
Client tax returns, financial statements, and engagement data carry a professional confidentiality obligation that public cloud AI complicates.
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Financial Advisors & RIAs
Client portfolios, proprietary research, and investment strategies are your competitive edge — they should stay yours.
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Insurance Agencies
Policyholder PII, medical disclosures, claim files, and underwriting notes — sensitive data that moves through agency systems every day.
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More industries are being added. If your industry isn't listed, reach out — the same principles apply.
Healthcare
Healthcare industries
Fertility Clinics
Genetic screening results, donor records, embryology data, and emotionally sensitive patient communications — information that demands more than standard HIPAA posture.
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Cosmetic & Plastic Surgery
Pre-op photos, medical histories, and elective-procedure consults are some of the most personally identifying data in medicine — and high-value targets for breaches.
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Therapists & Behavioral Health
Session notes, diagnostic records, and intake documentation carry the highest duty of confidentiality in medicine. Public-cloud AI is the wrong default.
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Government & Public Sector
Government and public sector industries
Government Contracting
CUI, ITAR-controlled documents, and proposal data have contractual restrictions on where they can live and who can touch them. Public cloud AI is a compliance minefield.
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Schools & Education
Student records fall under FERPA, and staff communications often contain information about minors. AI systems that handle this data need to stay inside district control.
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Public Utilities
Grid data, customer usage records, and critical-infrastructure documentation sit at the intersection of regulatory scrutiny and national-security interest.
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Architecture, Engineering & Construction
Architecture, engineering, and construction industries
Architecture Firms
Client site plans, design iterations, and confidential program documents are core IP. A model that trains on them — or quietly retains them — is a liability.
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Engineering Firms
Calculations, stamped drawings, and proprietary methodologies are the firm's competitive advantage. Keep them on infrastructure you own.
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Construction & General Contractors
Bid documents, subcontractor data, and project-level financial detail — operational intelligence that shouldn't be fed through a third-party AI vendor's retention policy.
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Real Estate
Real estate industries
Realtors & Brokerages
Client financials, offer terms, and off-market listings are competitive intelligence. Generic AI tools treat them as training fodder; private AI treats them as yours.
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Appraisers
Appraisal methodology, comp research, and client-specific reports are the core deliverable of the practice. They belong on your infrastructure, not a shared model.
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Property Managers
Tenant files, HOA records, owner statements, and vendor contracts flow through property-management systems daily. AI tools should leave that data where it is.
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Legal
Legal industries
Immigration Law
Asylum declarations, undocumented status, family separation details, country-of-origin intelligence — data that could endanger clients if it surfaces.
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Family Law
Financial disclosures, custody evaluations, domestic violence records, and children's information — the most personally sensitive data in any legal practice.
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Personal Injury
Medical records, settlement intelligence, case valuation frameworks, and demand strategies — your playbook shouldn't live on shared infrastructure.
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Non-Profit
Non-Profit industries
Civil Rights Organizations
Discrimination complaints, witness identities, investigation records, and coalition strategy — data people shared at real personal risk.
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Homeless Services
Health conditions, mental health histories, location data, and domestic violence status — a breach doesn't just violate privacy, it puts people at risk.
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Immigration Services
Undocumented status, asylum claims, family separation details, and addresses of people avoiding detection — exposure could mean deportation.
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