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Founder DIY
Use the free template and ChatGPT.
Draft the checklist or YAML yourself. Verify every repository path, command, role, deployment reference, known issue, and reviewer question against direct evidence.
Open the free checklistRepository evidence wedge · public validation offer
Turn one public repository into reviewer-ready documentation.
Vartovii prepares a bounded documentation pull request tied to one pinned commit. The first three eligible engagements cost 250 USDC after the pull request is accepted.
- 250 USDC
- 48 business hours
- Public repository
After the first three accepted PRs, the fixed scope is 350 USDC upfront. The 48 business hours delivery clock starts after accepted written scope and receipt of the required public-repository evidence.
The public landing is live in low-cost static mode while the paid workspace and API are paused. Fit checks remain available by email; this offer is a demand-validation test, not proof of paid traction.
This is documentation work, not a smart contract audit, vulnerability review, certification, security assurance, or launch verdict.
DIY, normalization, and security review
Use each layer for what it does best.
Generic AI can help draft the handoff. The paid work is source-bound normalization and human consistency checking. The external auditor remains the security authority.
Vartovii sprint
Normalize one commit-bound handoff.
Vartovii makes missing evidence visible, checks cross-field consistency, records sources, and prepares a reviewer-ready package without converting gaps into assurance.
Inspect the sample packExternal auditor
Keep security authority with the reviewer.
The auditor or contest reviewer evaluates vulnerabilities and security. Vartovii prepares the scope and evidence they need before that review begins.
Review service boundariesResearch modules
One testable wedge now.
A bigger platform only after proof.
Vartovii is currently presented as an evidence-first validation wedge. The public offer and synthetic proof are available for design-partner testing; live research runtime and experimental tools are paused until demand and funding justify reactivation.
Module
Validation wedge
A bounded, human-reviewed evidence handoff for one public repository and one pinned commit. It has a public sample and test price, but prior outreach did not establish paid demand, so it remains a design-partner validation wedge rather than a proven recurring product.
What this module actually reviews
future scopeInput
Public repo
Boundary
Pinned commit
Delivery
Async handoff
Commercial status
Validation test
Scope, exclusions, paths, commands, and commit recorded together
Evidence register with visible gaps, owners, and source references
Reviewer-ready PDF plus machine-readable YAML/JSON handoff
No paid pilot, repeatable buyer channel, or recurring demand is claimed
Module
Paused platform
The broader corporate and crypto trust-intelligence platform is a long-term opportunity, not a current paid offer. It returns only when a funded, demand-backed runtime decision is justified.
What this module actually reviews
future scopeStatus
Roadmap
Research
Evidence-led
Runtime
Paused
Reactivation gate
Demand + cash
Corporate and crypto research modules share an evidence language
Monitoring, reports, and agent workflows are future expansion paths
No live dashboard, API, or AI processing is implied in this mode
Adapters and automation expand only after a clear sponsor or buyer gate
Shared review layer
What every review still includes.
Corporate and crypto review logic differ, but the trust workflow stays consistent: one score language, one coverage model, one monitoring layer, one report path, and one operator workspace.
Evidence layer
Public-source inputs, explicit gaps, confidence, and freshness are recorded instead of guessed.
Human consistency
Vartovii adds source-bound normalization and a second pass across the agreed handoff.
External authority
An auditor, reviewer, or grant team remains responsible for the decision Vartovii prepares for.
Reactivation gate
Automation returns only after buyer evidence, received cash, and a clear operational reason.
AI layer
Evidence foundation now.
Runtime later, when funded.
The public offer and evidence foundation remain readable while the live assistant, API, and model-backed runtime are paused to protect the remaining budget.
Public AI status
What remains available publicly.
Runtime paused
Evidence-first design
Available in public modeThe public product language, sample pack, and offer boundaries remain available as static evidence of the intended workflow.
Live AI runtime
PausedThe dashboard assistant and model-backed workflows are paused while cloud billing is disabled.
Future agent workflows
RoadmapDeeper orchestration remains a roadmap direction and will return only after a funded, demand-backed decision.
Roadmap direction
Future multi-agent direction.
Sentinel Swarm is the future multi-agent direction for deeper research orchestration, verification, and handoff. It matters as a roadmap signal because it shows where the AI layer can expand after the current assistant and report workflows are already useful.
Deeper orchestration across assistant, reports, and monitoring
More structured multi-agent research and verification paths
Sentinel Swarm as a future orchestration layer, not a current marketing claim
Platform and roadmap
Public proof now.
Runtime later.
Today the available public surface is the static landing, offer, sample, pricing, privacy notice, and email fit-check. The Repository Evidence Handoff is a validation wedge with no paid traction proven yet. The live dashboard, API, and model-backed runtime are intentionally paused until the project has a funded reason to reactivate them.
Public surface today
What is available without paid runtime.
Static landing, test-offer ladder, pricing, privacy notice, and synthetic sample pack
Manual email fit-check for public repositories and pinned commits
Repository Evidence Handoff is a validation wedge; no paid traction is claimed
No live dashboard, API, AI runtime, or automatic intake in low-cost mode
Future modules remain documented as roadmap, not as current availability
Core stack
Low-cost delivery. Clear boundaries.
The public surface is intentionally reduced to static assets and manual email. The previous application architecture remains in the repository, but no live service is implied while cloud billing is disabled. Reactivation is gated by written demand and received cash.
Public surface
Cloudflare Pages static assets
Delivery
Manual email fit-check
Live runtime
Paused to protect budget
Reactivation gate
Written demand + cash
What exists
A concrete evidence workflow
Public sample, bounded offer, evidence contracts, and a manual fit-check show the intended repository-to-handoff workflow without exposing customer data.
What is paused
Paid runtime and broad modules
Dashboard, API, AI processing, monitoring, and experimental modules are paused for cost control. They are not presented as live availability.
What funding unlocks
A measured Base-first test
A sponsor or investor can fund five design-partner runs, deterministic adapters, consent-aware artifacts, and a paid-demand decision before larger expansion.
Now
Validate the repository-evidence wedge
Treat the Repository Evidence Handoff as a design-partner test, not a proven product. Use written problem confirmations or a paid scope as the evidence that the workflow is worth continuing.
Gate
Decide whether reactivation earns its cost
Require three independent problem confirmations plus paid scope, license intent, or a concrete sponsor commitment before bringing back a live runtime or expanding modules.
Potential
Expand into a Base-first evidence layer
If the wedge is validated, deterministic adapters, artifact rendering, design-partner workflows, and future agent tooling can grow toward Trust OS. Until then, these remain options, not promises.
Long-term direction
Trust OS is the future
operating layer.
Trust OS is the longer-term direction for connecting trust score, monitoring, reports, and workflow automation across multiple research modules. It explains where the platform can grow after the current trust workflow stays disciplined and useful.
Guardrails
Coverage before certainty
Module-specific evidence logic
Workflow depth over feature sprawl
Company and founder
Why Vartovii exists
and how it is being built.
Vartovii exists because trust research is still too fragmented, too noisy, and too easy to overread. The company is being built with a deliberate product posture: visible evidence, conservative claims, and workflows that support judgment instead of replacing it.
Founder
Vitalii Radionov
Founder and CEO
Founder-led companyResearch-first build
Vartovii is being built by Vitalii Radionov as a founder-led trust intelligence product for people who need to make repeated decisions under noisy public data. The starting problem was simple: employer research and crypto diligence are both fragmented, easy to overread, and often stripped of context.
That is why Vartovii focuses on visible score inputs, evidence coverage, freshness, and report handoff. The goal is not to promise certainty. The goal is to make trust research more legible, comparable, and operational.
The operating posture stays conservative: make the trust workflow useful first, then expand the platform with discipline.
Operating principle
Make the trust workflow useful first. Grow the platform second.
Ukrainian-founded
The name, tone, and product posture come from a Ukrainian idea of vigilance: pay attention, verify, and do not overclaim.
Switzerland-based
The company is being built from a practical Switzerland-based operating context focused on durability, not launch theatrics.
Evidence-first scope
The product stays narrower than a generic analytics portal so score logic, coverage, and workflow remain understandable.
Long-horizon build
The target is a durable trust workflow that can grow into a larger platform without collapsing into noisy feature sprawl.