Your AI agent, governed.
The AI that
knows what it
doesn't know.
A full AI agent across desktop, web, and mobile. It builds, automates, coordinates, and executes. The difference: it tells you when it's wrong before you find out the hard way.
EU AI Act Article 14 requires human oversight of high-risk AI outputs. Deadline: August 2, 2026.
Kael is built to meet it
The Problem Nobody Talks About
Your AI agent is confidently wrong.
And it will never tell you.
Every AI agent on the market delivers fabricated facts with the same confidence as verified ones. No uncertainty markers. No self-correction. No way to tell the difference until the work is already done.
AI agents analyzed. Zero with output governance.
Agents that tell you when they don't know
Governance layers on every output
The AI Agent Landscape
29 AI agents. Zero governance.
Messaging agents. Browser agents. Autonomous coders. Digital twins. Enterprise copilots. Wearable companions. They all execute. None of them verify what they produce.
AI coworkers in Slack, iMessage, WhatsApp. They schedule, reply, and act on your behalf.
The gap: they schedule the wrong meeting and you don't find out until you show up.
Agents that browse the web, control your desktop, and execute multi-step tasks autonomously.
The gap: they synthesize reports from autonomous browsing with no output verification.
AI software engineers that write code, create PRs, and handle full development workflows.
The gap: they check if tests pass, not if the reasoning behind the code is sound.
AI embedded in your work suite. 400M+ seats across major platforms. Data governance built in.
The gap: they govern who accesses data, not whether the AI's output is accurate.
Pendants and devices that listen, remember, and advise. Always-on ambient AI companions.
The gap: intimate advisors with no output integrity. The highest-stakes sycophancy risk.
Everything above. Desktop, web, mobile, multi-agent swarms. One governed platform.
The only AI agent that verifies its own output, catches its own drift, and tells you when it doesn't know.
Everything they do. Plus everything they can't.
Before & After
Other agents vs. Kael
Every other AI agent
Guesses confidently. Delivers fabricated statistics with no uncertainty marker.
Agrees with you. Optimizes for your approval, not your outcome.
Black box. You have no idea what it checked or why it chose that answer.
One perspective. Single model, single pass, single point of failure.
Degrades silently. Quality drops over long sessions and nobody notices.
Kael AI
Knows its confidence level. Every claim tagged: verified, analyzed, or [DATA NEEDED].
Challenges you. Dual-View pipeline argues against its own output before you see it.
Transparent governance. Live feed shows every check, flag, and correction in real time.
Multi-model review. Track 1 builds. Track 2 attacks. Synthesis resolves. You get the winner.
Self-monitoring. Detects its own sycophancy, drift, and quality decay in real time.
Seen enough? Get in before public launch.
Request Early AccessReal-Time Governance
Watch it check itself.
Other agents hide their reasoning. Kael shows you every governance check, every confidence score, every self-correction - live, as it happens. Not a log after the fact. The actual pipeline, running.
$ kael analyze quarterly-report.pdf
│
├─ Classifying task... SUBSTANTIVE (financial, external-facing)
├─ Loading governance: behavioral override + fabrication scan + genome baseline
├─ Track 1 generating response...
├─ Track 2 adversarial review:
│ ├─ Challenge 1: "Q3 growth claim (18%) lacks source citation"
│ ├─ Challenge 2: "Market size figure conflicts with SEC filing"
│ └─ Challenge 3: "Competitor comparison omits their latest quarter"
├─ Fabrication scan: 2 claims tagged [DATA NEEDED]
├─ Sycophancy check: PASS (0.12 score, threshold 0.40)
├─ Synthesis: Track 1 adopted with 2 Track 2 corrections applied
└─ Confidence: 0.91 (verified claims: 14/16)
│
Response delivered. Governance log saved. 2 items require human verification.
How It Works
Three layers. Known limits.
Every input is triaged before a single token is generated. Simple question? Direct answer. Financial decision? Full dual-view pipeline with adversarial review. The governance depth matches the stakes.
input: "Should I refinance my mortgage?"
classification: SUBSTANTIVE - financial, high-impact
pipeline: dual-view + fabrication scan + human gate
Track 1 generates the answer. Track 2 attacks it - looking for fabrications, sycophancy, missing context, and logical gaps. The synthesis picks winners and explains why. You get the result of an internal debate, not a first draft.
Track 1: "Based on current rates, refinancing saves $340/mo"
Track 2: "Rate assumption uses today's low. 30-day avg is higher."
Synthesis: "Savings range: $280-340/mo depending on lock timing"
The governance feed is not a hidden log. It's a live, scrolling view of every check, challenge, and confidence score. You know what was verified. You know what needs your confirmation. You decide when to trust.
✓ 14 claims verified against source data
● 2 claims tagged [DATA NEEDED] - awaiting your input
● Confidence: 0.91 | Sycophancy: 0.12 | Drift: 0.04
Full audit trail exportable
Calibrated to You
It learns how you think.
Kael doesn't just remember your preferences. It tracks how you make decisions, how much detail you want, and how much uncertainty you can act on. The longer you work together, the tighter the calibration.
Session #847 - calibration improving 2.3%/week
One Agent, Every Surface
Desktop. Web. Mobile. Agents.
Same governed intelligence across every device. Your calibration, your governance feed, your context - seamless.
Based on the uploaded quarterly data, revenue increased 14.2% QoQ to $2.3M. [VERIFIED] Operating margin improved from 12% to 18%. [VERIFIED]
Customer acquisition cost decreased by $12 to $47/customer. [DATA NEEDED] - This figure comes from the marketing team's estimate, not the accounting system. Recommend verifying against Stripe data.
The 14.2% growth rate compares Q3 to Q2, but Q2 included a one-time enterprise deal worth ~$180K. Excluding that, organic growth is closer to 8.7%. Recommend presenting both figures.
Desktop App
Native macOS and Windows app with system-level integration. Keyboard shortcuts, menu bar access, local file context. The full governance pipeline running on your machine.
Web
Full browser experience. No install required. Same governance pipeline.
Mobile
iOS and Android. Governed intelligence in your pocket.
Multi-Agent System
Deploy specialized agents for different domains - each governed independently, each calibrated to your standards. A CTO agent that writes code. A legal agent that reviews contracts. A research agent that verifies claims. All running through the same governance pipeline.
Coming 2026Why We're Different
Not a feature. A research program.
Anyone can add a "fact-check" button. We built the entire behavioral safety stack from the ground up: input classification, output governance, multi-agent coordination, and real-time behavioral monitoring. Backed by hundreds of experiments across dozens of models. This is what governed AI actually looks like.
Behavioral Experiments
Models Tested
Failure Modes Detected
Governance Layers
Try It Yourself
Ask Kael anything.
Watch governance run.
Type any question below and see the governance pipeline classify, review, and verify in real time.
Select a preset or type a prompt above...
Every other AI agent guesses.
Kael knows the difference.
Desktop. Web. Mobile. Multi-agent swarms. All governed. Early access is limited to teams and professionals who need an AI agent they can actually trust.
Pre-launch. Limited spots.