Instant GuardrailsBY PROPRIOCEPTIVE AI

AI RELIABILITY. DEEP TECHNICAL EXPERTISE.

What is your AI
doing wrong?

Specialists in AI behavior.
Focused on your business.

Unreliable answers. Inconsistent agents. AI that falls short in practice. We use specialized tools and hands-on research to find what is going wrong with a model and test what helps. Start with a free conversation.

Let’s have a conversationChoose a time on our calendar

Your first call is hosted by Logan; Nicholas and the team may join when relevant.
Free 30-minute call · No preparation needed

Watch the 84-second demo
Years of independent AI research
Conceptual illustration of internal layers and signals in a neural model
THE PROPRIOCEPTIVE APPROACHInside the model.
Beyond the answer.
Hidden-state research · Measured control
AI & LLM evaluationHidden-state expertiseControlled steeringPractical next steps

THE RESEARCH, IN VIEW

Look deeper.
See the decision.

An answer can look certain and still be wrong. Follow one real recorded question through the model’s output, internal measurements and the decision that followed.

LOOK DEEPER · 84 SECONDS · SOUND ONQwen2.5-32B · Recorded September 23, 2026

Edited replay of one fixed-choice research experiment. The operator screen illustrates a review workflow; the displayed measurements and answer selection come from the recorded run.

Bring us a real AI problem.Let’s have a conversation

START WITH WHAT MATTERS

Your business has a problem.
Let’s understand it.

You don’t need to know why it happens.
That’s where the conversation starts.

01

Answers you can’t trust.

Confident mistakes, inconsistent responses or information that doesn’t hold up.

02

Agents that lose their way.

Missed instructions, repeated work or unexpected behavior in a real workflow.

03

AI that’s hard to explain.

You can see the result. You need a clearer understanding of what to investigate next.

RESEARCH BUILT OVER YEARS

A deeper view
of model behavior.

Hidden states and AI interpretability are our specialty, built on years of independent AI research.

We investigate the internal signals a model produces as it processes information, how those signals relate to behavior, and how controlled changes affect the result.

Our toolbox includes the CYGNUS research system, diagnostic probes, evaluation harnesses, model adapters and research-enhancement methods. When model access allows, we can examine weights and hidden-state signals, then test candidate changes against a baseline.

We’re passionate about understanding how AI works—and turning that understanding into useful work for the teams building with it.

Explore the research behind our work
THE PROPRIOCEPTIVE APPROACH
01

Observe

Understand the behavior that matters.

02

Look inside

Investigate relevant internal model signals.

03

Test the change

Measure interventions against a baseline.

Research-led. Evidence-driven. Focused on your problem.

TALK WITH OUR TEAM

Your AI.
Our shared focus.

Book a conversation with Logan and our team.

Tell us what your AI is doing and what you wish it did instead. We’ll discuss whether evaluation, probes, adapters, a CYGNUS integration or a focused research engagement fits your situation.

No dataset to prepare. No technical brief required.
Just a conversation about your business.

Book a conversationChoose a time on our calendar
Logan Matthew Napolitano, founder of Proprioceptive AI
Logan Matthew NapolitanoFounder, Proprioceptive AI

EXPERTISE WITH A HUMAN APPROACH

Deep expertise.
A human approach.

Years of independent AI research. A lasting curiosity about how models work. And a team that cares about the people putting them to use.

Our work connects rigorous investigation with a straightforward conversation about your business.

Explore our public research
Stock photograph of professionals discussing charts and data together in a bright workspace
Photography: Kampus Production / Pexels

NEWS & RESEARCH FEATURES

Our work in the public conversation.

Company announcements, profiles and research features.

Yahoo FinanceCompany announcement AP NewsCompany announcement KTLA 5 Los AngelesCompany announcement PR Newswire by CisionCompany announcement ADVFNCompany announcement Castle PlacementCompany profile YouTubeResearch feature by Vinh Nguyen BenzingaCompany announcement ABC4 · Salt Lake CityCompany announcement WGN9 · ChicagoCompany announcement FOX8 · ClevelandCompany announcement WFLA · TampaCompany announcement PIX11 · New YorkCompany announcement WKRN · NashvilleCompany announcement FOX59 · IndianapolisCompany announcement FOX8 · GreensboroCompany announcement WAVY10 · PortsmouthCompany announcement ABC27 · HarrisburgCompany announcement FOX4 · Kansas CityCompany announcement FOX31 · DenverCompany announcement KXAN · AustinCompany announcement KOIN6 · PortlandCompany announcement WOOD8 · Grand RapidsCompany announcement KRON4 · San FranciscoCompany announcement WTNH · New HavenCompany announcement FOX5 · San DiegoCompany announcement NBC4 · ColumbusCompany announcement 8 News Now · Las VegasCompany announcement CBS17 · RaleighCompany announcement WRIC · RichmondCompany announcement KRQE · AlbuquerqueCompany announcement WWLP22 · SpringfieldCompany announcement KFOR · Oklahoma CityCompany announcement Arizona Daily Star · TucsonCompany announcement WPRI12 · ProvidenceCompany announcement NEWS10 · AlbanyCompany announcement WREG · MemphisCompany announcement WJHL · Tri-CitiesCompany announcement KSN · WichitaCompany announcement WANE15 · Fort WayneCompany announcement WATE6 · KnoxvilleCompany announcement WKBN27 · YoungstownCompany announcement KARK4 · Little RockCompany announcement KHON2 · HonoluluCompany announcement Rochester First · RochesterCompany announcement KHQ · SpokaneCompany announcement FOX40 · SacramentoCompany announcement

A LITTLE MORE CONTEXT

Good questions.
Straight answers.

Do I need to be technical?

No. Explain what your AI is doing, where it causes problems and what a better result would look like. We’ll help with the technical questions.

Can we talk if we use a third-party AI platform?

Yes. Start with a conversation about your setup. We can discuss evaluation and workflow problems; deeper internal-state work depends on the access available to the model.

What happens after the first call?

We’ll talk through the next steps together. If our team can help, we’ll explain how and let you decide whether it’s a fit.

Who will I speak with?

Logan hosts the first call. Nicholas and other team members may join when relevant. Together, we bring research, engineering and business perspectives to your AI workflow and discuss the right next step.

For technical teams: what can the work include?

Depending on scope and model access, work can include probe-based evaluation, case-level failure analysis, reusable test harnesses, adapter experiments, weight and hidden-state inspection, controlled steering and CYGNUS research workflows. We compare proposed changes with baselines and relevant controls. Tool access, use and engagement scope are agreed after the introduction.

See an example deliverable →

LET’S TALK ABOUT YOUR AI

You see the problem.
Let’s find the next step.

Start with a free, 30-minute conversation with our team.

Let’s have a conversationChoose a time on our calendar