AICamp Alternative 2026: The Seat Price Is Not the Inference Price

TL;DR: AICamp is a governed AI workspace for companies rather than a consumer subscription, and the distinction decides whether it is the right purchase. Read from aicamp.so/pricing on 27 August 2026, Starter is $0 for up to three users with five dollars of model credits included, Business is $20 per user per month or $16 per user per month billed annually for up to 500 users, and Enterprise is quoted above 500. The important structural fact is that the seat price and the inference bill are separate: Business lists 'Bring your own Models' as a feature, the Starter tier states its entire model allowance as a $5 figure, and the platform advertises bringing your own API keys to control cost. A ten-person team is therefore looking at $200 a month in seats plus whatever OpenAI, Anthropic and Google invoice on top. In exchange AICamp offers things a consumer app does not: ISO 27001 certification, a SOC 2 Type II audit, EU hosting, SSO and SAML, per-model access control and usage analytics. Perspective AI is not competing for that job. It is $14.99/mo for one person, with inference included in the price and the cost of each action shown before the balance moves.

AICamp shows up in searches for one subscription that reaches every AI model, and it is worth saying at the top that it is a different kind of product from most of the names around it, and from Perspective AI, which answers the individual version of that brief at $14.99 a month with one balance priced per action. AICamp is an agentic AI workspace sold by the seat to companies, with SSO, access control and an audit trail attached. If you are one person comparing subscriptions, that framing decides most of the question before any number does. If you are rolling AI out to a department, it is a serious candidate and this page tries to be accurate about why. Either way the fact to internalise first is that the seat price and the inference bill are two different numbers. The alternatives library has the consumer-side comparison set.

What AICamp Charges, Read 27 August 2026

All figures below were read in a browser from aicamp.so/pricing on 27 August 2026, with both states of the billing toggle checked.

Two notes on the numbers. The annual rate is a straightforward 20% off and the toggle is honest about it. And several third-party listings quote $10 per user for the Business tier; the vendor's own page served $20 monthly and $16 annually on the date above. As with every price in this category, the vendor's page is the quote and a directory listing is a timestamp.

The Starter tier is worth more attention than a free plan usually gets, because of how its allowance is worded. Not "fair usage", not a message count, but "5$ AI model credits included". Stating an inference allowance in dollars is the clearest possible disclosure and AICamp should get credit for it. It also, read carefully, tells you the structural fact this whole article turns on.

The Seat Price Is Not the Inference Price

If a free tier's entire model allowance can be expressed as five dollars, then inference is being accounted for separately from the seat. That is confirmed everywhere else on the page. "Bring your own Models" is listed as a feature of the Business plan. The feature table promotes bringing your own model API keys "to optimize cost efficiency and maintain control", and separately supports integrating proprietary fine-tuned models. Business also lists a hosted flagship model in the US or EU.

So AICamp supports at least two deployment shapes, and your bill looks different under each:

• Bring your own keys. The $20 seat buys the workspace, the governance, the prompt library, the assistants, the analytics and the audit surface. OpenAI, Anthropic, Google and anyone else you connect invoice you directly for tokens. Two bills, and the second one is unbounded until you bound it.
• Use the hosted flagship model. Inference comes through AICamp. The page does not publish a per-seat quantity for this on the Business card, so the practical figure has to come from the vendor during evaluation.

Neither is a criticism. Bring-your-own-keys is the correct architecture for a company that already has provider contracts, wants its spend visible in its existing cloud invoices, and needs to route different departments to different models. It is exactly the trade described in bring-your-own-key AI apps and managed ones, applied at company scale rather than to an individual.

What it does mean is that "$20 per user" cannot be compared like-for-like against a consumer subscription price, and the arithmetic runs the wrong way for small groups. Ten seats is $200 a month, or $160 billed annually, before a single token is bought. Three people who each want a good multi-model assistant are looking at $60 a month in seats plus provider invoices, against $14.99 each for a consumer subscription with inference included. The governance is worth a great deal at 200 people and close to nothing at three, and the price does not scale down to reflect that. For the seat-price comparison across the rest of the market, what a seat costs across every AI vendor puts the $20 in context.

Where the Page Disagrees With Itself on SSO

One concrete thing to check before purchase. The Business plan card lists its features as: up to 500 users, all features included, SSO / SAML, US/EU hosted flagship model, bring your own models, 14 days free trial.

Further down the same page, the detailed feature table describes single sign-on as: "Integrate with identity providers like Okta or Microsoft Entra to enforce secure, centralized access. (Enterprise plan only)", and lists SCIM provisioning in the same entry.

Those two statements cannot both be right. Either SSO and SAML are included at $20 per user, as the plan card says, or they are gated to Enterprise, as the feature table says. For most buyers this is not a footnote: identity integration is frequently the requirement that makes an AI rollout approvable at all, and discovering after procurement that it sits behind a custom quote for 500-plus seats is an expensive surprise. Get it in writing during the trial.

The same page also marks dedicated deployment and AI guardrails as Enterprise-only, which is consistent between the card and the table, so this looks like a single stale line rather than a pattern. It is still the line worth confirming.

Five Features on the Page Are Marked "Coming Soon"

The Business card says "All features included". The feature table beneath it labels five entries as not yet shipped, read on the same date:

Labelling roadmap items on a pricing page is honest behaviour and better than the alternative, which is to list them without qualification. But it interacts awkwardly with "All features included", and two of the five are not cosmetic. Custom data retention sits in the security section, next to the ISO and SOC 2 claims that are the reason a compliance team would approve the purchase, and a retention policy you cannot configure is frequently the gap that stops an approval. "Perform actions" is the capability that turns an assistant into something that does work rather than describes it, and it is the difference between a chat interface with a knowledge base and the agentic workspace the product is named for.

The practical advice is unremarkable but worth stating: price the product on what it does today, ask during the trial which quarter each of these lands in, and do not let a roadmap item carry a requirement in the procurement document.

What AICamp Is Genuinely Better At

Perspective AI does not compete for this work, and it would be dishonest to pretend otherwise. For a company rolling AI out across departments, AICamp offers a set of things no consumer subscription provides:

• Compliance posture. ISO 27001 certified and SOC 2 Type II audited, GDPR-compliant with data and models hosted in the EU, and a stated commitment that data is never used for model training by AICamp or any integrated provider.
• Access control by model. Restricting which teams or roles can reach which models is a real procurement requirement and very few platforms expose it.
• User management at scale. Granular permissions, user groups by department, workspace visibility settings, and adoption and usage analytics so someone can answer what the spend bought.
• Shared organisational context. A prompt library that teams can save, share and search; assistants built per department and shared with viewer or editor roles; projects with custom instructions and a knowledge base attached.
• Bring your own fine-tuned models, which matters if a company has already invested in tuning something proprietary and needs it inside the same interface as everything else.
• Model neutrality. Several providers behind one governed surface, which is the same underlying argument as how one subscription reaches five labs, carried into an enterprise setting.

Those are real capabilities aimed at a real buyer, and a fair comparison names them before arguing about price.

Who Should Buy Which

Buy AICamp if you are deploying AI across a company and the binding constraints are governance rather than convenience: you need SSO, per-model access restrictions, usage reporting, an EU data residency answer, and existing provider keys routed through one audited interface. Confirm the SSO tiering during the trial, and budget the provider invoices separately from the seats.

Buy Perspective AI if you are one person, or a couple of people without a procurement process, who want every major model on one bill. At $14.99 a month, inference is included in the price rather than invoiced by providers, the balance is denominated in dollars so a spend is a price rather than a quantity, and the cost of an action is shown before the balance moves. The live catalogue read on 27 August 2026 carries 58 models, spanning GPT, Claude, Gemini, Grok, DeepSeek, Kimi, Qwen and Mistral alongside image and video generators. There is no seat arithmetic because there are no seats, and none of the enterprise machinery you would be paying for at $20 a head does anything for a single user.

If the wider question is which decisions actually matter when buying AI for an organisation rather than which product to shortlist, the four decisions behind buying AI for a business is the better starting point, and one subscription across every major model covers the consumer-side field.

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