Cloud AI for SMBs that need ROI this quarter, Azure AI Foundry inside your tenant when sovereignty matters but on-prem doesn't, and fully air-gapped stacks for the enterprises whose data can't leave the building.
Partner-certified · model-agnostic · cloud, Azure AI Foundry, and on-prem
From frontier APIs in the public cloud to fully sovereign on-prem deployments - and Azure AI Foundry inside your tenant for everything in between. Same engineering bench. Same compliance discipline. Different boundaries.
We integrate OpenAI, Anthropic, and Gemini directly into the tools your team already pays for. The fastest path to working AI for organizations whose threat model permits API calls to a vendor cloud.
We design, deploy, and operate models through Azure AI Foundry inside your tenant. Frontier-grade quality with customer-managed keys, private endpoints, and data residency you control - without the operational lift of on-prem.
For defense, healthcare, financial services, and public-sector teams whose data cannot leave the building. Open-weight models on hardware you own, with zero external egress and full audit trails.
Not sure which mode fits? The AI Readiness Audit picks one with you - including the honest "you don't need a vendor cloud for this" answer when it applies.
Five short questions. We'll point you to the mode that fits your risk profile and your timeline - and the honest case for the other modes if it's close.
Most "private AI" claims still proxy through a vendor's cloud. Ours doesn't. We design, deploy, and harden full LLM and RAG stacks on infrastructure you own - running on a network you control. The deny rule lives in the firewall, not in the marketing copy. We'll show you the iptables output.
Default outbound policy in air-gap deployments
Every prompt, retrieval, response logged
100% US-citizen engineers, security briefed
CMMC · HIPAA · CJIS · PCI DSS · SOC 2 aligned
Six practice areas, one team. We don't hand you off after the strategy deck - we ship the system that ran the workshop you remember six months later.
Executive workshops, capability mapping, opportunity scoring, and a 90-day roadmap built around business outcomes - not hype.
Frontier APIs (OpenAI, Anthropic, Gemini) integrated into the tools your team already runs. Fastest path to working AI when policy permits a vendor cloud.
Frontier-grade AI deployed inside your Azure tenant. Customer-managed keys, private endpoints, Entra ID - sovereignty without the on-prem operational lift.
Self-hosted LLM and RAG stacks for environments that cannot send data to any vendor cloud. Open-weight models on hardware you own; operates fully disconnected.
Carry-forward from a decade of MSP security work - NIST CSF 2.0 aligned, with implementation experience across CMMC, HIPAA, CJIS, PCI DSS, and SOC 2.
Your people are the multiplier. Role-based training, prompt libraries, and operating models that turn AI from a side project into how work gets done.
Fixed scopes. Senior engineers. Honest dates. We've been shipping production systems since 2016 - applying the same discipline to AI is just the next chapter.
Executive interviews, workflow mapping, and a candid look at where AI will and won't move the needle. We leave with a ranked opportunity set and an honest risk register.
Reference architecture, data flows, model selection, and a build plan with measurable outcomes. We pressure-test the plan against your compliance and security posture.
Engineers write the code. Real software in your environment - frontier APIs or air-gapped stacks, with evals and observability from day one.
We run the system with you until your team is ready to run it alone. Monitoring, evals, model updates, and a clear off-ramp when you outgrow us.
Representative engagement archetypes from Providentia's portfolio. We don't publish customer metrics; verifiable references are available under NDA on request.
Designed and deployed an air-gapped retrieval system for a multi-hospital health system. Clinicians searched a decade of records through an interface that produced full audit trails to the customer's SIEM.
Stood up vLLM-served open-weight models with audit-grade logging and CMMC-aligned change control. No external egress, signed binaries, hardware sized to the workload.
Governed Copilot deployment across hundreds of employees with role-based DLP, prompt logging, and a documentation handoff the internal auditors signed off on first pass.
Built a retrieval-grounded assistant for a public-services agency, deployed inside their compliance perimeter with full audit trails and policy-controlled escalation paths.
Customer names withheld by request. Specific outcomes shared with qualified buyers under NDA.
We were running compliance audits and security operations for regulated customers years before our first LLM deployment. The rigor is older than the practice - and it's what makes the air-gap claim defensible.
Founded in 2016 as Providentia Technology Solutions. We didn't pivot into security — we built on it.
Annual security briefings. Monthly training. No offshore contractors. The same standard regulated industries already require.
Implementation experience across CMMC, HIPAA, CJIS, PCI DSS, and SOC 2 — the same rigor applied to every AI engagement.
The fastest way to lose a customer's trust is to ship them a chatbot they didn't need. Some workflows need automation, not intelligence - and some need neither. We'll find the projects that actually pay back, and we'll be candid about the ones that won't.
Direct answers. If something here doesn't land, the contact form is the fastest way to a 30-minute strategy call.
Book a 30-minute strategy call. We'll ask sharp questions, give you our honest read, and tell you whether we're the right team for the work.