Abundy, Inc.
We design, govern, and operate sovereign AI systems that are fast, private, and future-proof — without sending your data to the cloud. SovereignKeeper is our live capability demonstration for secure, verifiable knowledge assistants.
"We help organizations adopt AI with the same rigor they apply to legal and financial risk."
The Challenge
Fast and convenient, but your sensitive data becomes someone else's asset. Usage costs are unpredictable, and compliance liability stays with you.
Safe and private, but slow to deploy and difficult to manage without deep, specialized expertise that most organizations lack.
AI decisions now carry regulatory, legal, and brand exposure. Yet most organizations lack a clear governance owner.
The result: stalled AI adoption, hidden risk, or dangerous "Shadow AI" usage across the organization.
Our Approach
We design and govern your AI strategy the same way outside counsel governs legal risk — with accountability, independence, and clear decision rights.
We design the right AI architecture for your specific risk profile — deciding when to use cloud, hybrid, or fully on-premises systems.
We establish frameworks for responsible AI use, including data privacy, model governance, vendor evaluation, and regulatory compliance.
We perform due diligence on AI vendors, evaluate models for fit and risk, and ensure you're never locked into a single provider.
We stand accountable when AI decisions matter — providing board-ready reporting, incident response planning, and ongoing risk management.
Capability Demonstration
SovereignKeeper is our live demonstration of how a secure, private AI assistant should work inside regulated organizations.
All inference, retrieval, and storage live inside your infrastructure. No external model calls unless explicitly approved.
Every answer ties back to your documents with citations, reducing hallucinations and improving auditability.
Fast AI for daily tasks, Deep AI for long-context analysis, and strict access controls for sensitive data — all governed under a single policy framework.
Optimized for speed — document drafting, Q&A, summarization, and everyday operational tasks with sub-second response times.
Designed for depth — audits, strategy review, IP analysis, and compliance checks across thousands of pages of internal documents.
We build retrieval-augmented generation systems so your AI answers questions from your own contracts, policies, financial records, and manuals — with verifiable citations and source links. Your data stays encrypted and local.
Who We Serve
Document review, privilege protection, regulatory exposure management
Client data protection, algorithmic governance, audit readiness
HIPAA compliance, research data sovereignty, clinical decision support
Trade secret protection, proprietary R&D, competitive intelligence
The CFO Reality Check
Cloud AI looks cheap — until it isn't.
| Issue | Cloud AI | Sovereign AI |
|---|---|---|
| Cost Predictability | Variable & escalating | Fixed & predictable |
| Data Ownership | Ambiguous | Yours, completely |
| Regulatory Exposure | High | Controlled |
| Vendor Lock-in | Strong | Optional |
| Incident Liability | Still yours | Governed & mitigated |
The hard truth: If a cloud AI system causes harm, regulators don't fine the cloud provider — they fine you. Sovereign AI isn't an IT decision. It's a fiduciary one.
Engagement Models
We structure engagements as retainers — not projects — because AI governance is an ongoing responsibility, not a one-time deliverable.
Advisory retainer for organizations beginning their AI governance journey.
Active governance for organizations with real AI exposure and accountability gaps.
Full deployment and management for regulated and high-risk organizations.
The Process
A clear, structured path from your first session to lasting AI accountability.
A focused 30- or 60-minute session to assess your current AI exposure, shadow AI usage, and immediate risks.
A written summary of findings, prioritized risks, and a clear architecture blueprint for your organization.
A retainer engagement to govern AI continuously — with the same rigor applied to legal and financial risk.
Get Started
Stop treating AI as an IT project and start treating it as a fiduciary responsibility.
Most AI "consultants" give away free discovery calls because they're selling a specific tool or platform. We sell judgment, risk mitigation, and continuity. Like an attorney or compliance auditor, our value is in our independence. This fee ensures our time is focused entirely on your risk profile — without vendor bias.
The consultation fee is 100% credited toward your first month's retainer should we move forward with an engagement.
30 Minutes
A rapid assessment of your current "Shadow AI" usage and immediate data leakage risks. We identify high-risk workflows exposing sensitive IP to public cloud models.
Request This Session60 Minutes
Common Questions
Fractional AI governance provides the same strategic leadership, policy oversight, and accountability as a full-time AI executive — at a fraction of the cost. You get dedicated expertise without the $300k+ salary.
Sovereign AI means your AI systems run inside your environment — on your hardware, under your control. Your data never leaves your organization. You own the models, the outputs, and the infrastructure. No vendor has access to your information.
No. We sell judgment and governance. We will recommend the right hardware and software for your needs, but we have no vendor affiliations or resale margins. Our independence is what makes our advice trustworthy.
Yes. We specialize in Retrieval-Augmented Generation (RAG) systems that let your AI answer questions from your own documents — contracts, policies, manuals, financial records — with verifiable citations. All data stays encrypted and local.
Most AI consultants sell implementation projects with a defined end date. We provide ongoing governance — like a law firm on retainer. AI risk doesn't end when a project ships. Someone needs to be accountable continuously.
That's fine. We design hybrid architectures where appropriate. Some workloads belong in the cloud. The key is making a deliberate, risk-informed decision about what goes where — not defaulting to cloud because it's easier.
Ready to assess your AI risk?
Book an Audit