For Government, Enterprise, and High-Trust Teams

The operating system for AI-assisted work deployed inside your perimeter.

Vibe Checker gives regulated organizations one controlled environment for project context, reviews, checks, and agent operations - with an on-premise deployment that bundles GPUs, models, and infrastructure into a single procurable system.

On-prem, air-gapped ready GPUs + models + infrastructure Works with Claude Code, Gemini, Codex — or our native desktop agent
Built for operators in
National & regional government
Defense & intelligence
Tier-1 banking & insurance
Healthcare & life sciences
Critical infrastructure
0%
Workflow stays inside your perimeter
Air-gapped by design
0
Source code or context leaving your network
No egress, by policy
0
Managed system replaces the DIY toolchain
Reviewable operating model
0
Agent runtimes supported day one
Claude · Gemini · Codex VC native
For target buyers

Built for organizations that cannot treat AI as an informal layer on top of their work

Vibe Checker exists for institutions that need stronger control, clearer boundaries, and a deployment model their procurement, security, and legal teams can actually approve.

Enterprise

For enterprise buyers

Procure a complete operating model, not a loose toolchain. One system to standardize how AI-assisted work happens across every team, every repo, and every region.

  • One procurable system - not five subscriptions
  • Predictable annual cost, per-seat or per-org
  • Standardized workflow across every team
  • Rolls up to a single reporting line
  • Integrates with your existing SSO + HRIS
1contract replaces the DIY AI stack
Platform · Security · Compliance

For platform, security, and compliance

Project context, reviews, checks, and agent operations live inside one supervised system - easier to govern than scattered terminals, chats, and ad-hoc scripts.

  • Immutable audit trail of every agent action
  • Role-based review and sign-off workflow
  • Policy controls at the skill + model tier
  • No shadow-IT surface - one system to approve
  • SOC-2 and ISO aligned configuration
100%of AI actions land in one audit log
Government · High-Trust

For government and high-trust environments

Stronger deployment boundaries, legible process, and a clear path to internal trust - designed from day one for classified, restricted, and isolated networks.

  • Air-gapped operation, fully offline capable
  • On-premise bundle - your hardware, your models
  • Data sovereignty preserved by construction
  • Works in restricted and classified enclaves
  • Clear internal trust and accreditation path
0bytes egress beyond your perimeter
Deployment architecture

Three deployment shapes. One operating model.

The operating model - plans, reviews, audit, skills - is identical across tiers. What changes is where the inference runs and who holds the model contracts. Pick the shape that matches your procurement and data-residency constraints.

On-premise bundle (Enterprise)

ENTERPRISE TIER

The full stack - GPUs, local models, VC server, client - sits inside a single administrative perimeter. No data crosses the boundary.

Your Network · One PerimeterYour teamEngineers · reviewersYour sourceRepo · contextVibe CheckerReview UIPlan · sign-offAudit logWho did whatLocal LLMsLlama · MistralGPU clusterYour hardwareCoding agentVibe Checker Native AgentNo egress
Source code, context, and prompts never leave your network.
All model inference runs on GPUs inside the perimeter.
Audit trail and review state are stored locally, not by us.
Trust & sovereignty

Control you can demonstrate, not just describe

Every guarantee below is structural, not contractual. It is built into the deployment model - which is what makes the system approvable for governments, enterprises, and the buyers who answer to them.

Data sovereignty

Source code, context, prompts, and review artifacts stay inside your infrastructure. Nothing is uploaded to us. Nothing crosses a border.

Air-gapped operation

The full stack - client, server, models, GPUs - runs without internet access. Designed for classified, restricted, and isolated networks.

Immutable audit trail

Every agent action, every review, every check is recorded in a tamper-evident log that your auditors, inspectors, and regulators can read directly.

Regulator-ready process

Workflow is structured to map onto ISO 27001, SOC 2, GDPR, HIPAA, and sector mandates - not retrofitted after the fact.

No vendor lock-in

Built on open models. Swap, fine-tune, or extend without asking permission. Your system does not become another single point of failure.

Role-based oversight

Reviewers, approvers, operators, and auditors each see exactly the view their role requires - clear authority, clear accountability.

Model layer

A model platform, not a model bet

Vibe Checker is not tied to any single model vendor. The system runs a curated portfolio - proprietary and open - and routes each task to the model that produces the best outcome for it. The selection is our job, not your team's.

Right model per task, automatically

Work profiles differ - long-context review, security scans, rapid edits, multilingual parsing. The router picks per task, not per project, not per seat. Your engineers don't shop for models.

No vendor lock-in at the model tier

Models are a pluggable layer - we swap, add, or retire them without re-architecting your deployment. A vendor outage, pricing shift, or quality regression never becomes a procurement problem.

Advanced mode Business tier

Teams that want to steer the router get a full console - pin a model per workflow, set fallbacks, cap context windows, override routing. Defaults stay curated. Control is opt-in, not opt-out.

Live routing Orchestrator · auto
TaskSecurity review · payments.service.ts
Vibe Checker router
Picks best-fit model · 6 in portfolio
Claudeselected
AnthropicReasoning
Gemini
GoogleLong context
Codex
OpenAISpec coding
Llama 4
OpenOn-prem
Gemma
OpenMultilingual
Mistral
OpenLow latency
Highest-quality reasoning on adversarial edge cases
Beyond coding

Non-coding workflows Vibe Checker already governs

The operating model is task-agnostic. Any workflow where an AI agent drives a tool - a database, a filing system, a medical record, a PLC - benefits from the same plan / act / review / audit loop. Here are the non-coding shapes procurement teams ask about most.

Ministries · Law firms · M&A teams

Private document processing

Classify, redact, and summarize sensitive corpora - RFPs, case files, diligence rooms - without any content ever touching a public model API. Every redaction and extraction is a reviewable action in the audit log.

Redaction checksPII detection skillsChain-of-custody log
Research divisions · Policy analysts

Data analysis & reporting

Run multi-step analysis across internal datasets - agents write SQL, build charts, and draft narrative - with every query, cell, and output recorded. Analysts sign off on conclusions before reports are released.

SQL + notebook skillsReviewable artifactsReproducible runs
In-house counsel · Procurement · Compliance

Legal review & contract intelligence

Clause extraction, precedent search, and red-lining against an internal playbook. The agent proposes; counsel approves. Every change is versioned and tied back to the playbook rule that triggered it.

Playbook-driven reviewClause libraryCounsel sign-off
CFO office · Tax directors · Internal audit

Tax, accounting & financial reporting

Close-cycle automation, variance explanations, and financial narrative drafting, all anchored to your GL. The review workflow enforces a two-eyes rule on any number the agent writes into a filing.

Two-eyes reviewGL-linked auditFiling-ready exports
Hospitals · Health-tech platforms · Regulators

Medical records & clinical summaries

Summarize patient journeys, code ICD/SNOMED, and draft referral letters inside the hospital network - on-prem inference only. Clinicians remain the signer; the agent is a documented, auditable drafter.

On-prem onlyClinician sign-offHIPAA-shaped audit
Banks · Insurers · Utilities

Regulatory filings & correspondence

Draft supervisor responses, RFIs, and regulatory submissions from internal source material. The operating model gives your regulator a legible paper trail - who asked what, who reviewed it, what went out the door.

Supervisory-ready logRole-based sign-offTemplate library
Investigations & intelligence · Spotlight

Agents that read, link, and brief - without a single classified doc leaving the enclave.

Point Vibe Checker at your case-management system, records archive, or intelligence repository and an agent triages incoming material, links entities across silos, and drafts analyst briefs. Every source citation, every inferred link, every sentence in the brief traces back to an artifact a human reviewer can open - so supervisors get a legible paper trail their chain of command actually trusts.

  • Citation-backed briefs. Every claim in the draft links to the exact source paragraph that supports it.
  • Entity & relationship graphs. Cross-silo links surfaced as structured data, not prose assumptions.
  • Classification-aware. Skills respect handling caveats and releasability tags at every step.
  • Analyst remains the signer. The agent drafts; a human approves before anything leaves the enclave.
Defense & intelligence Law enforcement Regulators & supervisors Fraud & AML units Corporate investigations
Why this buying motion is different

A scattered toolchain is not a governance model

Most AI-coding purchases today are a stack of individual subscriptions glued together by policy memos. Vibe Checker replaces that stack with a single operating system your institution can actually approve and operate.

Dimension
DIY AI toolchain
Vibe Checker
Where your code lives during AI work
DIY AI toolchain
Transits 3-5 external services per session. Residency depends on each vendor.
Vibe Checker
Never leaves your network. Residency is a property of the deployment, not a promise.
Who can inspect agent actions
DIY AI toolchain
Fragmented: IDE logs, API logs, chat transcripts, CI output - all separately owned.
Vibe Checker
One immutable audit trail you own, queryable by your compliance and security teams.
How procurement evaluates the system
DIY AI toolchain
Multiple vendor reviews, multiple DPAs, multiple risk registers, none covering the whole.
Vibe Checker
One package: Vibe Checker + models + GPUs + deployment, under one contract.
Behaviour in an air-gapped network
DIY AI toolchain
Fundamentally does not work. The toolchain assumes public internet.
Vibe Checker
Fully operational. Designed from day one for classified and isolated environments.
Budget shape
DIY AI toolchain
Unbounded per-token usage across several vendors. Hard to forecast, harder to cap.
Vibe Checker
Predictable hardware + annual license. Usage does not change the invoice.
Onboarding a new team
DIY AI toolchain
Reconfigure per-developer accounts, API keys, and residency settings; pray for consistency.
Vibe Checker
One operating model. New teams inherit the same boundaries, reviews, and checks.
Cost control

A budget shape procurement can actually defend

Usage-metered AI budgets are impossible to forecast and awkward to approve. Vibe Checker replaces that variance with one annual line item - hardware plus license - so finance can sign without hedging.

Illustrative comparison
Cloud toolchain per-seat licenses
$144,000/yr
+ Usage overage across third-party APIs
$72,000/yr
+ Unbounded-risk budget reserve
$27,000/yr
+ DIY audit, DPA, and review overhead
$45,000/yr
DIY annual cost
$288,000
Vibe Checker annual bundle
$180,000
Effective cost per seat
$1,200/yr
Estimated annual saving
$108,000 (38%)

This simulator is illustrative only and not a public offer. Indicative figures are for comparison only. Actual pricing is determined during consultation and presented in a formal contract.

One line item instead of five

Fixed annual cost covers hardware, models, client, server, support, and license. Finance forecasts it the same way it forecasts a server refresh.

Usage does not change the invoice

Every extra review, scan, and agent session runs on hardware you already own. Encouraging heavier use improves outcomes without inflating spend.

Value compounds inside the organization

Context, findings, and review history accumulate in your system. They become organizational memory - not someone else's training corpus.

How the work runs

Context in. Reviewable, deployable work out.

The experience is the same your engineers already know - with a supervised system around it that your CISO, your inspector general, and your board can read.

Your Team
Opens the repo that matters, inside your perimeter.
Vibe Checker
Holds context - orchestrates agents - captures reviews, checks, and audit trail.
Coding Agents
Claude Code - Gemini - Codex, or our native desktop agent - picked per team, governed centrally.
What changes once it's deployed

Every outcome procurement asked for, made structural

AI work becomes governable

Reviews and checks happen inside the same operating system as the work itself. Oversight is a property of the system, not a memo.

Deployment becomes approvable

One evaluated package - Vibe Checker, models, GPUs, and operating environment - replaces a stack of separate procurement conversations.

Operational continuity improves

Teams pause, resume, and hand off work without losing context. Essential when many stakeholders depend on the same process.

Oversight gets easier

Context, progress, and review history stay together. The work is legible to reviewers, approvers, and inspectors without translation.

The work stays with the organization

Sessions, findings, and checks compound inside your system as organizational memory - they do not leak into ephemeral local workflows.

On-prem is a real product path

Vibe Checker is not only a desktop app. It ships as a bundled on-prem environment with GPUs, models, client, and server.

AI-assisted work feels deployable

Instead of impressive but fragile, the experience looks like something serious organizations can actually roll out in production.

Fits the agents your teams already use - or ship with ours

Teams keep Claude Code, Gemini, or Codex. Or use the Vibe Checker native desktop agent - same operating layer, one control plane, no rip-and-replace.

Pricing

Start with software. Talk to us about the full deployment path.

All plans include a token allowance; usage beyond the included allowance is billed separately. Enterprise deployments are quoted per environment.

Starter
$20/mo

For individual engineers evaluating the workflow.

  • 1 project
  • Core checks
  • Community support
Get Early Access
Team
$50/mo

Everything in Starter, plus:

  • Up to 10 projects
  • Full review workflow
  • Team dashboard
Get Early Access
Most common
Business
$100/mo

Everything in Team, plus our hosted inference gateway with BYOK:

  • Unlimited projects
  • Hosted inference gateway (VC server)
  • BYOK - bring your own model API keys
  • Centralized audit, policy & spend
  • Access control & custom integrations
  • Dedicated support
Contact Us
Enterprise & Government
Custom

Full on-prem bundle. Inference, models, and data stay inside your perimeter.

  • On-premise bundle (GPUs + local LLMs + VC server)
  • Air-gapped operation - no egress
  • GPU + model sizing and procurement
  • Custom SLA & dedicated account manager
  • Audit-ready configuration
  • Onboarding and custom training
Learn More
For governments and enterprises

AI adoption becomes real when the deployment model and operating model can both be trusted.

We work directly with procurement, security, and platform leadership to evaluate, deploy, and operate the system end-to-end.

Talk To Us

Start the conversation your procurement team can follow

Use this form for government and enterprise deployment, including the on-premise bundle of GPUs, models, and Vibe Checker infrastructure. We respond from Fukuoka business hours (JST).

We do not send marketing email. Contact requests go directly to our team in Fukuoka.