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 checklistFor protocol teams with one public EVM repository, approximately up to 3,000 nSLOC. The fixed founding-pilot fee is 750 USDC, 100% upfront.
The 72 business hours delivery clock begins only after complete intake, accepted written scope, and confirmed payment.
Deliverables: branded PDF, YAML/JSON, an auditor-ready RFQ summary, and one async revision within seven days.
This is not a smart contract audit, vulnerability assessment, security assurance, or launch-safety verdict.
DIY, normalization, and security review
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.
Founder DIY
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 checklistVartovii sprint
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
The auditor or contest reviewer evaluates vulnerabilities and security. Vartovii prepares the scope and evidence they need before that review begins.
Review service boundariesVartovii is not a generic research portal. It currently ships two working research modules, corporate and crypto, connected by one shared trust workflow: score, coverage, freshness, monitoring, reports, and forensic follow-up.
Review employer trust through company score, source mix, sentiment, hiring context, and report handoff.
What this module actually reviews
current focusTrust score inputs
Visible
Source coverage
Multi-source
Freshness
Time-aware
Report path
Ready
Review project trust and risk through stage-aware evidence across security, token design, public traction, and forensic follow-up.
What this module actually reviews
current focusSecurity posture
Visible
Token design
Included
Public traction
Tracked
Forensics
Escalation path
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.
Canonical 0-100 score with coverage, confidence, freshness, and supporting inputs.
Alerts, watchlists, and score-delta tracking for entities that need repeated review.
Long-form briefs and exports for analyst handoff, deeper reading, and follow-up work.
React + FastAPI on Cloud Run and Neon, with Vertex AI / Gemini in the AI layer.
Vartovii already includes a built-in AI assistant and AI-supported report workflows. The next step is deeper agent orchestration for research, verification, and monitoring.
AI capabilities today
Use the built-in assistant to search entities, compare options, open the right surface, and stay inside the same trust workflow.
Generate longer-form research handoff with structured summaries, report context, and deeper reading paths for repeated review.
The AI layer already routes across tools, retrieval, reports, and monitoring paths so product workflows stay usable without exposing internal complexity.
Roadmap 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.
Today Vartovii is a trust intelligence platform with corporate and crypto modules, one shared trust layer, public docs, an API, and a release journal. The roadmap expands that system carefully from the current product instead of skipping ahead to a vague all-in-one idea.
The core runtime is already clear and modern: React on the surface, FastAPI in the backend, Neon in the data layer, Cloud Run in delivery, and Vertex AI / Gemini in the AI layer.
React 19 + Vite
FastAPI + Python
Cloud Run + Neon
Vertex AI / Gemini
Now
Use a 30-day commercial test and manual delivery to close one 750 USDC commit-bound scope handoff without product automation.
Next
Decide whether to continue, revise, or stop the offer from real buyer evidence before adding billing, CRM, or broader product scope.
Later
Longer term, Vartovii can become a broader operating layer for trust workflows across modules, evidence systems, and repeated decision paths.
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
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
Founder and CEO
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.