We build agents that work for your company — and you can prove what they did. The point is not a list of parts. The point is the problem we close: action without proof, AI without control, audits that take weeks.
The problem: people and AI already act, and you cannot prove it to a client, a bank, or an auditor. That is what we install. We do not publish the engine.
Banks, financeiras, and large firms will not buy “trust us, the agent is good.” They buy a trail they can show upstairs.
Beside the systems you already use. Your data stays yours. Your team keeps working.
A third party verifies the record. That is the product — not a tour of our internals.
Live at agentictestari.com. Authorized security testing where agents — not just humans — surface vulnerabilities, chain findings, and report. Sentinel-Hub is the offensive home: agents fire all in-scope device classes under Rules of Engagement.
Authorized agentic pentesting. Agents Helena, Victor, Aurora drive surface-to-deep reconnaissance across dev/staging environments, chain findings into severity-gated reports, and verify patches on retest.
agentictestari.comCipher (QA-Sentinel-Sec) is the full-spectrum pentest agent. All offensive tools fire through ParviSight under RoE — no product Playwright, no human-only scripts. One canonical engine, governed every step.
We deploy agentic defenders that operate, adapt, and counter-attack in real time — backed by cryptographic governance baked into every action. Static scanning + governance + live defense = the full moat.
When work happens in a browser — research, checks, filling, collecting — you need the work done and a record of what was done. That is the product. We do not publish the toolbox.
ParviClaw Core is the multi-session control plane for agent flocks: real PTY sessions, waves, leaves, kill-switch — not an Electron IDE. Cross-platform start scripts. License enforced at boot (not decorative). Dogfoods through ParviGov. Product label: Core / pilot — the historical UI cockpit is a separate track.
Real PTY terminals — not sandboxed chat wrappers. Master orchestrator spawns worker sessions where Claude Code, Codex, or any agent CLI runs interactively. Crypto leaves provide durable, verifiable state that survives reboots and proves what happened.
Route to GPT, Claude, Grok, Gemini, or local models based on task profile. Reasoning tasks get reasoning models; extraction gets fast models; security tasks get specialized models. Cost and capability optimized per leaf.
Not a chatbot wrapper. Agents spawn sub-agents, chain tool calls, maintain durable state across sessions, and self-improve by filing every gap under a self-improvement loop. Crypto leaves = tamper-evident provenance for every decision.
The problem: every week the same mistakes, and the system remembers nothing useful. This is memory that serves the next decision — still accountable. We do not publish the internals.
Past outcomes inform the next act. You are not starting from zero every Monday.
What was remembered, and what it changed, can still be shown. Learning is not a black box you have to take on faith.
What M-Files does for human document management, Graph Files does for agents. Every document is a node in a knowledge graph — content-addressed, richly tagged, and cryptographically governed by ParviGov. Search semantically. Trace provenance. Prove who touched what, when, and why. The layer that connects all Parvi products into one governed knowledge base.
Not a pile of folders. Each file knows what it is and who is responsible. Search and prove who touched what.
Find the document, who touched it, and how it connects to the rest — without dumping the architecture on the homepage.
Create, change, or delete a file — and you can still show who did it, when, and why it matters.
We train our own defenders. Today this is a lab (Aegis detect-only, Cipher attack simulation). Soon: a deployable defense fleet where the full Parvi family — ParviSight, ParviClaw-core, ParviALMA, ParviGov — becomes the defender's toolkit. Attackers use agent swarms; so do we. Swarm vs swarm. Constantly improving.
Aegis = swarm defense (detect-only). Cipher-simulate = attack simulation with RoE and close-gaps. The lab is private and proprietary — the source of truth for everything we build on agentic defense.
A fleet where the full Parvi family is the toolkit: ParviSight for browser-based defense, ParviClaw-core for multi-session operations, ParviALMA for threat memory, ParviGov for governed response. Every defensive action is chained and witnessed.
Modern attackers deploy AI agent swarms. Static defenses and signature-based tools lose. We answer with governed agent swarms that adapt, coordinate, and counter-attack in real time. Constantly improving — every engagement feeds ParviALMA.
Every governed action can flow through ParviGov, producing cryptographically signed trails that map to compliance controls. This is audit-ready evidence design — not a claim of completed third-party certification until that paper exists.
"Designed to meet" — our architecture is built to satisfy these frameworks. ParviGov's cryptographic audit trails provide the evidence layer. Formal certification is in progress.
LangChain builds agents. Langfuse observes them. But they don't talk to each other, and neither one proves what happened. The Parvi family does all three — build, see, and prove — in one governed loop.
ParviClaw-core constructs and executes agent operations. Multi-session orchestration, sandboxed execution, governance-native. Replaces what LangChain does — but every action is logged and signed from the start.
ParviSight is an agentic browser for reconnaissance, pentest, and web interaction. Sees what agents see. Collects evidence. Neither LangChain nor Langfuse has this — it is unique to Parvi.
ParviGov is what you install so a client, a bank, or an auditor can check what happened — without taking a vendor log on faith.
"The agent did X"
Stored in their database. You trust the vendor. Logs can be edited.
"The agent did X — here is the cryptographic proof"
A third party can check the record. That is the product.
For SOC 2, ISO 27001, forensic audit, or legal dispute — observation is not enough. You need proof.
LangChain builds. Langfuse observes. Parvi builds, sees, and proves — in one governed system.
Shorts and deep dives on our YouTube channel — walkthroughs of what this solves for the buyer, and how an auditor checks it.
FriendlyAI is a Finnish high-tech company building the next generation of governed agentic systems. Founded by a senior software testing expert with over 15 years of experience who is now an AI developer, the company combines deep quality assurance expertise with cutting-edge AI agent technology.
Based in Finland — a country renowned for trust, transparency, and engineering rigor.
Founded by a senior software testing expert who now builds AI agent systems with a quality-first mindset.
Deep QA expertise applied to cutting-edge agentic systems — governance and reliability by design.
FriendlyAI is a Finnish high-tech company founded by Renata Baldissara-Kunnela — a senior software testing expert with over 15 years of experience, now building AI agent systems. The company combines deep quality assurance expertise with cutting-edge agentic AI technology.
Request a demo of the Parvi stack, an AgenticTestari engagement, or a compliance deep-dive. We'll get back to you within 48 hours.
FriendlyAI