Cloud-based AI creates data exposure risks for agencies.
We provide fully offline, per-workstation desktop software to prevent AI from accessing sensitive data. Nothing leaves the device.
Public sector AI adoption centers on internal productivity: summarization, drafting, policy analysis. CamoSuite addresses the privacy gap that slows it.
Anonymize agency and vendor names, contract values, personnel PII, and internal identifiers before submitting drafts to any AI service. The AI works with structurally complete text using placeholder tokens; never the underlying sensitive details.
Use CamoVoice to transcribe meeting and recordings entirely on-device — no cloud upload. Anonymize the resulting transcript with CamoText, then use it with any AI tool for summarization or briefing prep.
Strip PII from citizen records and replace with labeled placeholders before AI-assisted review. Staff retain full visibility into what is anonymized; anonymization keys stay on-device.
CamoText's batch mode anonymizes an entire folder into a clean, isolated directory. Agentic tools like Claude Cowork or Copilot access only the anonymized folder, and never the originals or their metadata.
Strip identifiers from regulatory comments, legislative history, or compliance documentation before AI synthesis or summarization.
CamoText anonymizes PHI locally before AI submission, keeping protected health information off cloud services while preserving access to AI-assisted workflows.
Cloud-based AI tools process and store inputs on their servers, creating data exposure risks.
The compliance problem with standard cloud AI accounts in government workflows.
Federal and state privacy frameworks, the Privacy Act of 1974, FISMA, HIPAA, and state equivalents, impose obligations on how agencies collect, use, and share PII. Submitting citizen-identifiable records to a third-party cloud AI service may constitute a disclosure to a third party, triggering obligations. FedRAMP authorization and zero-data-retention DPAs can address some of this, but require procurement cycles and contract negotiations that are infeasible to many agencies.
CamoSuite's fully local architecture provides a practical layer of technical protection between the agency and any AI service.
How CamoSuite fits alongside other government AI compliance options.
| Approach | Local Processing | Off-the-shelf | AI Service Compatibility | Staff Can Deploy Today | Pricing and Fees |
|---|---|---|---|---|---|
| FedRAMP-authorized AI | ✗ | ✗ Full procurement cycle | ✗ Separate contract required | ✗ Months to deploy | ✗ Subscription, setup fees, maintenance |
| Zero-data-retention DPA | ✗ | ✗ Negotiated agreement required | ✗ Per-provider negotiation | ✗ API-only access, requires additional setup | ✗ Subscription, ZDR upcharges |
| On-prem LLM without internet access | ✓ | ✗ Significant IT infrastructure and updates | ✗ Replaces external services, but quickly becomes outdated | ✗ Major deployment effort | ✗ High setup and maintenance costs |
| CamoSuite | ✓ | ✓ COTS (FAR Part 12); GPC micro-purchase | ✓ Works with any AI service | ✓ Per-device install, use immediately | ✓ One-time purchase; no subscription or lock-in |
Detect and mask sensitive information from documents before any AI access.
Keep meeting recordings, briefing notes, and field interviews private.
Convert files to lightweight AI-ready formats, strip metadata, and extract audio from video.
Entirely on a government-issued laptop, inside existing compliance boundaries.
<PERSON_a3f7>, <CASE_c2b1>. Review and adjust output.
CamoText
A state human services analyst has a benefits intake interview video recording on their laptop. They need an AI-assisted case summary before a supervisor review meeting.
CamoConvert extracts the audio track locally and strips embedded metadata.
CamoVoice transcribes it using an on-device model, no audio uploaded anywhere.
The transcript is opened in CamoText: the applicant's name, address, SSN, case worker name, and benefit program identifiers are replaced with structured tokens: <PERSON_a3f7>, <ACCOUNT_c2b1>, <DATE_d9e4>.
The analyst reviews, adds a missed identifier manually, and exports. The anonymized transcript is submitted to Claude or ChatGPT for a case summary and flagged eligibility issues.
The AI service never saw citizen PII, metadata, or any detail the analyst did not choose to share. The AI output (referencing only anonymous tokens) is reviewed by the analyst and supervisor, who adjust the case record locally or reinserts original terms with CamoText.
All CamoSuite products share the same security model: fully offline operation after install, zero telemetry, and no cloud dependencies. These properties are designed to be directly observable and testable — verify them yourself, or have your agency's IT security team do so.
Independently verifiable via standard network monitoring tools.
Each tool is a COTS, one-time per-device purchase: micro-purchase eligible and purchasable with a Government Purchase Card (GPC). Bundle pricing and volume discounts available.
Contact us to discuss your workflow and the right combination of tools.