Trustworthy Ai, built on evidence.
We help organizations adopt artificial intelligence they can actually account for — with the security, identity, and oversight that makes it defensible.
Ai moved from pilot to production faster than most governance did. Leaders are now answerable for systems whose behavior nobody can fully explain, on data whose boundaries nobody fully mapped, reached by identities nobody fully inventoried. nLyze closes that gap across three connected solution areas — Intelligence, Trust, and Identity — and gives you reviewable evidence at every step.
Solutions
Intelligence
Evaluate and operate Ai you can defend. Compare supported models on the concepts your business actually runs on, understand how those models represent your domain, and keep that understanding current as versions change. Includes AI DEPTH CHART™ and the nLyze® Trustworthy Ai Hub.
Trust
Security operations, governance, risk and compliance. Human-led and Ai-assisted monitoring, prioritized investigation, incident communication, and the control evidence your auditors, regulators, and board expect to see.
Identity
Identity is where Ai governance either holds or fails — it decides who and what may reach a model, and with whose authority. We support Microsoft Entra and Microsoft Identity Manager end to end, from complex engineering issues through emergency response.
Why it matters
You cannot govern what you cannot see. Most Ai decisions today rest on a leaderboard score and a vendor's word — neither of which tells you how a model represents your domain, what a quantization quietly cost you, or what changed in the version you deployed last week. The spotlight below is how we make that visible.
Spotlight
AI DEPTH CHART™
See how a model represents the concepts your business runs on.
Two models can score the same on a benchmark and still represent your domain very differently. AI DEPTH CHART™ uses similarity measures and three-dimensional visualization to compare how supported models represent the business and risk concepts you select — giving technical and business stakeholders consistent visual evidence for model-selection discussions.
unsloth/Phi-4-mini-reasoning-GGUF — different quantizations of the same
underlying model — measured against the same concept set and plotted on the same axes.
Coverage is reported per build (4,612 points vs. 1,153), and builds that produce no points are
called out rather than silently rendered as empty.
Why it exists
Model selection is hard to reverse. A more aggressive quantization, or a new version from a vendor, can shift how a model represents parts of your domain — and nothing in the file name or the leaderboard tells you which parts. AI DEPTH CHART™ helps teams examine whether a model represents selected concepts in expected ways, and surfaces representation changes that may warrant further investigation.
unsloth/phi-4-GGUF (Q8_0), rendered in your browser
from 1,153 measured points across architecture, technology, deployment,
process, readiness, and business. Drag to rotate it, and read the dense
clusters against the sparse regions to spot outliers or unexpected proximity worth
investigating.
How it works
Point it at a model
Bring any supported model or model version, including every quantization in a repository. Alongside the charts you get the model's metadata, config, and model card in the same view, so you're not reconciling three browser tabs to answer one question.
Measure it against your concepts
The service submits your concept set to each model and measures how that model represents and relates those concepts — semantic similarity, proximity, and where a model's representation departs from its peers. The same measurement runs identically across every model you're comparing, so the numbers are comparable by construction.
Read the chart
Results are rendered as information graphics and data visualization materials: depth charts and semantic proximity maps of concept relationships within the model. They're built to be handed to someone who wasn't in the room — reviewable evidence for a model-selection or governance decision, not a number in a notebook.
Repeat it on a schedule
Turn an agreed comparison into a control program for automated measurement, assembly, adjustment, and related visualization. It re-runs on a schedule, so when a vendor ships a new version you can see which representation changes may warrant further investigation.
What teams use it for
- Model selection Compare supported candidates on your concepts, not a generic leaderboard.
- Version review Compare a new model version against the one already in use.
- Outlier review Identify unexpected proximity or outliers to investigate further.
- Provenance and bias discussions Support review conversations alongside other assessments.
- Reviewable evidence Give stakeholders consistent visuals for approvals and oversight.
How it's delivered
AI DEPTH CHART™ is delivered by nLyze® as software as a service (SaaS) featuring software using artificial intelligence for measuring and comparing artificial intelligence models, and as an artificial intelligence as a service (AIaaS) offering — nothing to install. Access is identity-aware and authorized per subscriber, with least privilege, data boundaries, and privacy controls applied, so you can interpret and securely interact with machine learning models without exposing your data or your concept set.
Research and advisory services
AI DEPTH CHART™ also supports research in the field of artificial intelligence technology — conducted both through the service itself, which subscribers use to research how models represent selected concepts, and by nLyze® as an engagement. Teams that want help designing an evaluation can engage nLyze® for consultancy in the field of artificial intelligence technology and technology consultation in the field of artificial intelligence, informed by our continuing research into how AI models represent concepts and how that representation shifts across versions.
What it is not. AI DEPTH CHART™ complements — but does not replace — performance, safety, security, bias, or compliance testing. Access supports the model-analysis and visualization activities agreed during onboarding; it does not provide general-purpose model access or AI inference capacity.
About us
Our mission at nLyze is to empower organizations through cutting-edge technology and strategic leadership. We believe that responsible Ai can be an immense help to humanity. Our first goal is to help clients grow and maintain secure digital ecosystems where people can work, learn and research, and where Ai is only a trustworthy helper and guide.
Mission
To empower businesses with secure, ethical Ai solutions that enhance human capabilities without replacing them.
Expertise
Our team of specialists bring together deep knowledge in Ai, machine learning, cybersecurity, and data management.
Approach
We believe in human-centric technology that augments rather than replaces human intelligence and decision-making.
Ai as a tool, not a replacement
We firmly believe in using artificial intelligence as a tool to augment human intelligence and capabilities, not replace them. Our solutions empower people to make better decisions and work more efficiently.
- Ai that enhances human decision-making
- Ethical Ai development with human oversight
- Transparent Ai systems that build trust
- Solutions designed around human needs
Research
nLyze conducts research in the field of artificial intelligence and research in the field of artificial intelligence technology — how models represent concepts, how that representation shifts across versions, and how humans and Ai work best together. Clients get first access to what we learn.
Get started
Every engagement starts the same way: an alignment session where we confirm the use case, environment, models, controls, and rollout scope. Our solutions are available on the Microsoft Azure Marketplace, where current plans and pricing are shown.
Questions? info@nlyze.com · www.nlyze.com