top of page

AI Solutions, Built Locally, and
Securely.

AI solutions designed to run locally — secure, cost-efficient, and tailored to your organization’s workflows.

ChatGPT Image Jan 7, 2026, 03_22_47 PM.png

Doc2Me AI Foundation

  • A flexible, on-premise AI foundation used to build custom solutions for managing confidential documents.

  • Secure by design — all data remains within the client’s environment.

  • Designed to support complex workflows such as Q&A, analysis, clause extraction, and summarization.

  • Can be integrated via chat interfaces or APIs as part of a custom deployment.

  • Engineered for CPU-first processing to enable responsive performance without reliance on costly GPU infrastructure.

ChatGPT Image Aug 30, 2025, 09_42_46 PM.png

Composable AI Components

  • Industry-specific components tailored for finance, legal, and healthcare use cases.

  • Designed to accelerate development and reduce implementation complexity.

  • Plug AI functions into your existing workflows via API calls.

  • Designed to integrate into existing systems with minimal operational disruption.

  • Runs efficiently on standard CPUs — quick deployment and responsiveness with minimal GPU usage.

Why Choose Us

We design and build custom AI solutions for organizations handling confidential documents.
Each system is developed specifically for the client’s data, workflows, and security requirements — running locally to ensure privacy, compliance, and full operational control.

How We Deliver Custom AI

Image by NASA

1

Discover & Design

We work closely with your team to understand your documents, workflows, and security requirements, defining the scope of a custom on-premise AI solution.

2

Build & Integrate

We design and implement the AI system within your environment, integrating with existing tools and systems while maintaining security and compliance.

3

Refine & Support

We refine the system based on real-world usage and feedback, ensuring performance, accuracy, and long-term maintainability within your infrastructure.

Core Capabilities

Abstract Blue Light

🛡️

Confidentiality First

  • 100% private — your data never leaves your environment.

  • Stay compliant with HIPAA, GDPR, SEC, and other regulations.

  • Designed for organizations that require the highest security standards.

Performance & Efficiency

  • Designed to process large document volumes efficiently.

  • Offloads workloads to CPUs for instant AI responses with minimal GPU use — lighter and more cost-effective.

  • Predictable cost with no cloud dependency.

📑

Expert Document Insights

  • Designed to incorporate legal, financial, and medical domain knowledge

  • Understands complex clauses, terms, and obligations.

  • Works like your team — but faster and more consistent.

📂

Any Document, Any Format

  • Works across PDFs, spreadsheets, scanned files, and structured data.

  • Designed for straightforward on-prem deployment.

  • Transforms unstructured documents into searchable insights.

🔗

Seamless Enterprise Integration

  • Connects with CRMs, EMRs, and case management systems.

  • Lightweight integrations tailored to industry-specific workflows.

  • API-first design for easy adoption.

💬

Conversations with Your Documents

  • Ask questions, highlight, annotate directly in the interface.

  • Get instant answers without manual searching.

  • Can be delivered via chat interfaces or API integration.

Frequently Asked Questions

1. Do you offer a standard product or a custom solution?

We provide a custom AI solution, not a one-size-fits-all product.
Each deployment is designed and adapted to your existing software, workflows, data types, and security requirements.

2. Can you integrate AI into our existing systems?

Yes. We work directly with your existing software and infrastructure.
The AI is embedded and tailored to your environment rather than requiring data to be uploaded into an external platform.

3. Does our data ever leave our environment?

No. All data remains within your infrastructure at all times.
The AI runs locally as part of your customized deployment, and no documents, prompts, or results are sent to external services.

4. Do you rely on cloud AI APIs or third-party services?

No. The system does not depend on external AI APIs or cloud-based inference services.
All inference is performed locally to maintain full data control and privacy.

5. Is this suitable for sensitive or regulated data?

Yes. The solution is designed specifically for use cases involving confidential, proprietary, or regulated data where cloud-based AI is not acceptable.

6. Do you train models using our data?

No. Your data is never used for model training or shared with third parties.

7. Do we need to purchase a GPU?

Yes. Running AI locally requires a GPU.
As part of the deployment process, we assess your existing infrastructure and design the solution to run efficiently on available hardware whenever possible.

The system is optimized for low GPU and VRAM usage and typically runs well on GPUs with around 8 GB of VRAM, without requiring expensive, high-end hardware.
For larger document collections or multi-user deployments, additional GPU capacity may be recommended to maintain optimal performance.

8. Can this be deployed on-premise or in a private network?

Yes. Deployment models are tailored to your infrastructure and security requirements, including fully on-premise and air-gapped environments.

9. What types of data can the AI work with?

The system can be customized to work with structured and unstructured data, including documents, tables, and mixed formats, depending on your use case and integration scope.

10. Can users verify where answers come from?

Yes. The system can provide references back to the source content used to generate each answer, allowing results to be reviewed and verified in context.

11. How accurate are the results?

The AI generates answers directly from your data and is designed to provide traceable, verifiable outputs.
As with any AI-assisted system, results should be reviewed before final use, particularly in critical or compliance-sensitive workflows.

12. How long does implementation take?

Implementation timelines vary based on customization scope, data complexity, and integration requirements.
We work closely with your team to design, deploy, and validate the solution within your environment.

13. Is this a subscription or a one-time engagement?

This is a one-time implementation engagement, not a subscription.
We charge a one-time fee for designing, customizing, and integrating the AI solution into your environment.

There are no per-query, per-document, or usage-based cloud fees.
Once deployed, the system runs entirely within your infrastructure.

14. How much does a typical engagement cost?

Pricing is determined on a case-by-case basis, depending on the scope of customization, integration complexity, and deployment requirements.

We work with each client to define the scope and provide clear pricing before any implementation begins.

15. Are there any ongoing monthly costs?

There are no mandatory monthly or usage-based fees.
Any ongoing costs are limited to your own infrastructure and any optional support or maintenance arrangements you choose.

bottom of page