Launch AI your customers can trust.

We test how your AI really behaves, against Responsible AI pillars from fairness and privacy to transparency and harm prevention. Then we hand you the evidence, mapped to every law that applies.

350+
Trust controls in AERIS
5
Automated safety tests in Lynxor
Global
AI rules mapped in the Atlas
Safety assessment · Retail bank voicebot
1Setup 2Answer 3Results
Safety score
74 / 100
Conditional go

LLM agent + speech recognition · collections · India, UAE

Fairness88%
Harm prevention71%
Transparency58%
Privacy83%
Accountability44%
212 trust controls in scope · 61 settled by tests · 9 gaps with owners
Evidence mapped to DPDP Act · RBI FREE-AI · CBUAE AI/ML · UAE PDPL · TRAI TCCCPR
Illustrative example

AI is reaching customers faster than anyone can check it.

Banks and insurers are putting voicebots, assistants and agents in front of customers. Most of that AI is signed off on paperwork, not on how it actually behaves. We test the behaviour itself, on real data and real conversations, for fairness, privacy, transparency and harm. Then we map that evidence to the laws of every market you operate in.

Our mission

Making AI safer.

Safe AI does what it should, for everyone it serves. It doesn't mislead, discriminate, leak data or act beyond its remit.

Without NerdRhino

  • Controls answered from memory in spreadsheets
  • Each team assesses AI risk its own way
  • AI stuck in pilot, waiting for risk sign-off
  • No record of who decided what

With NerdRhino

  • Safety tested on real behaviour, not answered from memory
  • One framework, AERIS, across every AI system
  • Clear evidence it's safe, so Risk can sign off and you can launch
  • Every answer traced to a named person and its evidence
What we do

One framework. Two ways to govern your AI.

AERIS tests your AI against Responsible AI pillars, from fairness to harm prevention, and reports the results the way your board and regulator read them: governance, reliability and compliance. Have our team apply it for you, or run it yourself on Lynxor.

Our platform and services

Software when you want to run it. Experts when you want it run.

Lynxor
Platform

Automated AI safety testing

Lynxor turns AERIS into a working assessment. It tests how your AI behaves on your own data and shows where it isn't safe yet, with every result mapped to the laws that apply.

  • Scopes controls by model type, customer journey and market
  • Five deterministic safety tests, and counting: fairness across customer groups, intent stability, speech recognition across accents, LLM response parity, data quality and privacy
  • Engines propose, analysts decide, and every answer stays on record
  • Re-run after every model or prompt change and see what moved
See Lynxor in action

Services

AI Governance

We test your AI end to end, find where it isn't safe, and help you fix it before launch.

Discover, govern, test, assure, operate. You get a scorecard, an evidence pack and a go, conditional-go or no-go recommendation.

Delivery Management

Senior delivery leadership for complex programmes.

Plans, vendors, governance and go-live readiness for AI and core banking programmes.

Regulation Atlas

The world is starting to require safe AI. See where, and which rules reach yours.

AI Regulation Atlas · updated Oct 2026

The rulebook for AI is being written everywhere at once.

Few countries have a single "AI Act". Most regulate AI through data protection, sector regulators and guidance. Press play to watch the map fill in, then tap any country to see what applies.

2026
0instruments tracked
0jurisdictions with a dedicated AI law
0with any AI rules
Dedicated AI law Binding rules that reach AI Guidelines only Draft in progress Not tracked

New instruments per year in this dataset. Click a year to jump.

Tap a country on the map to see its instruments up to the selected year.

Why four colours, not two

India and the UAE have no AI act, yet a bank deploying a voicebot there is already bound by data protection law and its central bank's AI expectations. A yes/no map would show them as blank.

Drafts matter

A dashed outline marks a bill or framework in progress. These are the rules your next audit will be measured against.

Status changes

Bills lapse and guidance hardens into law. Canada's AIDA was drafted in 2022 and lapsed in 2025; scrub the timeline to watch it go.

Framework descriptions are a high-level overview, not legal advice. Confirm current requirements with local counsel.

AI laws are piling up, fast.

Running total of AI-related laws enacted since 2016 across 116 selected geographic areas (Stanford AI Index 2025).

Source: Stanford HAI, AI Index Report 2025, Figure 6.2.2. Counts include enacted AI-related laws in selected geographic areas; they are not a count of all regulations or guidelines. The chart shows the running total of the annual counts.

Total, 2016–2024
204
Enacted in 2024
40
Peak year (2022)
44
Try it yourself

Paste some AI code.
See what AERIS would ask about it.

This demo reads your snippet in your browser and flags the safety questions it raises, such as missing human review or no AI disclosure. It is a quick check, not an assessment.

Level
01 Rookie
Score
— /100
Progress 0%
Checks passed
0 / 27
your_ai.py
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Pillar scores

idle
G Governance
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waiting for a check…

R Reliability
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waiting for a check…

C Compliance
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waiting for a check…

Score
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Applicable rules
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Badges

0 / 6

Analysis

Biggest gap

Paste code and run a check to see findings.

Next steps
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Test your AI's safety

Check log

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Demo only. Your code stays in your browser.

Client ecosystem

Trusted by teams across critical industries

Teams we have helped make their AI safer

Get in touch

Let's talk about your AI.

Building, buying or rolling out AI in a regulated business? Start with a conversation.

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Schedule a call

Book a 30-minute call. We'll look at one of your AI systems, show where it may not be safe, and map the rules it has to meet.

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