Proxon Review (2026): Pricing, Features & Honest Verdict

Proxon is an AI governance platform that inventories every AI tool, agent and workflow in a company, attaches ownership and policy, and ties spend to outcomes. We found real published pricing and 20 named customers. Best for: heads of operations at 100+ person companies. Price: free tier, then $2,000/month. Rating: 7/10.

What is Proxon?

Proxon calls itself the management layer for your AI workforce, and the pitch is one most operations leaders will recognise immediately. AI tools have spread through every function of the company faster than anyone approved them. Agents are running that nobody owns. Token spend is climbing with no connection to any business result. Sensitive data is reaching third-party models through routes nobody has mapped.

Proxon builds a single operating record for all of it. It discovers the AI tools, agents, workflows and data sources already in use, attaches an owner and a policy and a review schedule to each, attributes spend to teams and workflows, measures adoption and outcomes, and then helps the workflows that actually work spread to other teams. The founding team includes Peter Pezaris, David Hersh and Brian Canzanella, and the company launched in 2026. We picked it off the 13 July Product Hunt board at rank 14.

What are Proxon’s key features?

Discovery of shadow AI

The first job is an inventory, and it is the reason most companies would buy this. Proxon maps the tools, agents, workflows and data sources in use, including the ones that arrived without approval. The product’s own framing is blunt about the failure mode: “tools appear without approval, agents outlive their owners, costs lose context.” Anyone who has tried to answer “what AI are we actually running” from a spreadsheet knows how quickly that goes stale.

Cost attribution down to workflow and owner

Proxon attributes spend to vendors, models, teams, workflows and owners, then sets that investment against the work it supports. It also surfaces optimisation signals, with the site showing an example that flags repeated model work and suggests reviewing routing and caching. Token bills are famously undifferentiated, and turning one large number into a per-team, per-workflow figure is the feature a CFO will care about most.

Ownership, policy and audit trails

Every AI system gets an owner, a policy and a review history, and that lineage stays attached as people and agents change. Paid tiers add policy templates and audit trails. This is unglamorous and it is the part that matters when a regulator, a customer security questionnaire or an incident review arrives.

Adoption analytics by team

Proxon measures adoption at org, team and employee level, with prompts-per-person trends over time. The intent is to find which teams are getting value and which are not, so enablement can be aimed at the gap. It is also, unavoidably, employee-level monitoring of AI use, which is a conversation you will need to have internally before rolling it out.

Workflow propagation as templates

The feature we found most interesting is the last step of the loop: extract a workflow that is measurably working and scale it as a template to other teams. Most governance tools stop at visibility and control. Proxon’s argument is that the same record which tells you what to shut down also tells you what to copy, and that the second use is worth more than the first. Whether it works in practice depends entirely on the quality of the outcome measurement, but the ambition is right.

How much does Proxon cost?

Proxon publishes a real ladder, which is more than most enterprise governance vendors manage. Free is $0 a month for companies under 10 employees, covering a core AI workforce inventory, a basic adoption snapshot, up to 25 AI systems and 10 workflows tracked, with email support. Startup is $2,000 a month for 10 to 99 employees, adding full org, team and employee analytics, 250 AI systems, 100 workflows, cost attribution, policy templates and audit trails. Scaling is $5,000 a month for 100 to 499 employees, with 1,000 AI systems and 500 workflows. Enterprise is “Talk to us” for 500+ employees, adding SSO, SAML, custom integrations and unlimited tracking.

Two things to note about how you buy it. The free tier is self-serve with a “Start Free” button, but both paid tiers say “Book a Demo” rather than a checkout, so there is no way to swipe a card and start. And the plan comparison confirms the tiers are the same product with scale and governance unlocked, not different products, which is a cleaner structure than most.

Why does the price per employee jump so sharply between bands?

Proxon prices by employee band rather than by seat, and the arithmetic produces some odd results at the edges that are worth working out before you commit.

On Startup at $2,000 a month, a company with 10 employees pays $200 per employee per month. A company with 99 employees on the same plan pays $20.20. That is a tenfold difference in unit cost inside a single tier, and the smaller company is paying the higher rate for the same product.

The band boundary is sharper still. A 99-person company pays $2,000. Hire one more person and you move to Scaling at $5,000, a 150 percent increase in cost for a 1 percent increase in headcount. Per employee, the 99-person company pays $20.20 and the 100-person company pays $50. Crossing that line more than doubles your unit price.

None of this is hidden, and banded pricing always creates cliffs. But it means the value calculation depends heavily on where you sit in a band, and it is very different at the top of one than at the bottom of the next. If you are at 95 employees and growing, price the Scaling tier now, because you will be on it within the year. If you are a 12-person company, $2,000 a month for AI governance is a hard number to justify against the size of the AI bill it is governing.

How strong is the social proof?

Better than most launches we screen, and worth spelling out because we spend a lot of these reviews complaining about the opposite. Proxon’s homepage names 20 customers rather than showing anonymous logos or unnamed “Fortune 500” claims: Ant International, Embrace, Emax, Ontop, Influur, Platzi, Cobre, Credit Ninja, LaHaus, Virima, R2, Struct, Fengate, Simply180, Peaking.ai, Ottermon, Edge Surgical, Infinity Natural Resources, Startti and Basic Fun.

These are real, checkable companies spanning fintech, edtech, proptech, healthcare devices and natural resources, with a notable cluster of Latin American technology companies. A named list of that length is something a vendor cannot easily fabricate, because any one of those companies could object.

What is missing is depth. There are no case studies, no quoted people with titles, and no stated outcome from any of the 20. So we can believe these companies are customers in some form, but we cannot tell whether that means a full deployment or a free-tier trial. The list establishes that Proxon is real and sells to serious buyers. It does not establish results, and at $2,000 a month entry we would ask for a reference call before signing.

Who is Proxon best for?

Use Proxon if you are a COO, CIO, head of operations or CFO at a company between 100 and 500 people where AI spend has become a real line item and nobody can answer basic questions about it. That is the profile the pricing, the analytics and the governance features are all aimed at. It is also a strong fit if you face customer security reviews that now ask what AI touches their data, because that inventory has to exist somewhere.

Skip Proxon if you are under 20 people. The free tier will tell you what you are running, and beyond that you almost certainly know the answer already because you approved every tool yourself. Skip it too if you want to buy software without talking to a salesperson, because every paid tier routes through a demo booking. And skip it if what you want is per-request cost control at the API level rather than a company-wide management record, because that is a different category of tool entirely.

Best Proxon alternatives

A SaaS management platform such as Zylo or Vertice covers the discovery and spend-attribution half of the problem for software generally, not just AI. Neither publishes self-serve pricing, so we are not quoting figures. Worth considering if shadow AI is really a subset of a broader shadow IT problem for you.

An LLM gateway such as Portkey or LiteLLM attacks the same cost problem from underneath, routing and metering model calls so spend is attributed at source. Much cheaper, much more technical, and it only sees traffic that goes through the gateway, which by definition excludes the shadow AI Proxon exists to find.

A spreadsheet and a quarterly review is the honest baseline, and for a company under 50 people it is often enough. It costs nothing, it goes stale immediately, and the point at which that staleness starts costing you more than $2,000 a month is exactly the point at which Proxon becomes worth buying.

Final verdict: is Proxon worth it?

Proxon is a serious product aimed at a problem that is arriving in most companies right now, built by a team with a track record and sold to 20 named customers it is willing to list. It publishes real prices in a category where “contact sales” is the norm, the tiers are the same product rather than artificially crippled versions of each other, and the loop it describes, from discovery through governance to propagating what works, is the right shape for the problem.

The reservations are all about fit rather than quality. The entry price of $2,000 a month is steep unless your AI spend is already well past that, the employee bands create a cliff that more than doubles your unit cost at exactly 100 people, every paid tier requires a demo, and the customer list proves existence rather than results. If you are a 100 to 500 person company with an AI bill you cannot explain, book the demo and ask for a reference. If you are smaller than that, take the free tier, get your inventory, and revisit when the number you are governing is bigger than the price of governing it.