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Actualyze vs TrueFoundry

Actualyze. Every model and every budget gets its own approver, and finance closes the month on one statement.

TrueFoundry is an AI gateway within a wider AI platform, and Actualyze is the AI gateway and AI governance platform for the enterprise. Actualyze routes approvals to the people responsible, so teams get their models without a central admin queue.

Competitor facts checked against TrueFoundry's documentation on .

In short

each gateway's governance

Actualyze

Your organization

policy from Team Owners and Budget Managers

Inference

  • public APIs
  • brokers
  • GPU clouds
  • your own servers

TrueFoundry

TrueFoundry platform

policy from model account settings

Inference

  • provider integrations
  • model servers in your network, tunnel agent, on Enterprise plans

Side by side

TrueFoundry is an AI platform whose AI Gateway gives applications one endpoint for models from many providers. TrueFoundry admins set up model accounts, budget rules, and guardrail policies on that gateway.

Actualyze and TrueFoundry, side by side
ActualyzeTrueFoundry
Pricing and routing
Where cost figures come from

Priced per model and provider. Unknown cost is never $0

A public catalog price or your own rate, set per model

Set in each model's configuration. Your own rate can be a negotiated contract price.

One model, many providers

One model through any provider the caller can use

A TrueFoundry virtual model can list several providers

For example azure/gpt-4o and openai/gpt-4o behind one model name.

Routing across models

Sizes each request, picks the cheapest model strong enough

A Virtual Model, one name over several models, picks only among models the caller can already use.

Weight, priority, latency, or complexity routing

Each TrueFoundry virtual model uses one strategy over real catalog models.

Provider prompt caches

Stays on the cached model unless moving saves money

Sticky routing keeps a session on one model

Opt-in for a set window with weight routing. Latency and complexity routing pin sessions automatically.

Access and spend
Who approves access and spend

Each model names its own approver. Budget Managers own spend

Model Account Managers grant access to a model account

A Model Account User can use every model in the account. A request and approval step isn't documented.

Budgets and limits

Budgets nest. A call past the limit is rejected

Every matching budget rule must allow the request

Tenant and team rules match users, agents, models, provider accounts, or metadata.

Chargeback and the month

Finance closes the month on one statement

Cost per team in the metrics dashboard, with CSV export

Statements or a monthly close aren't documented.

Protection
On from the first request

Personal data masked from the first request

The default guardrail masks personal data in prompts and responses, and nobody can delete it.

Guardrails apply once a policy attaches them

A policy with no conditions covers all requests.

Weakening protection

Protection can't be quietly switched off

Guardrail changes appear in the audit log

Each entry shows the YAML before and after the change.

Records and reach
Audit record

Each routed call records which model answered and why

The record can't be edited, and it names the model the app asked for.

An audit log of who did what, to which resource

Exportable to the logging platform you choose.

What the controls reach

Any LLM, anywhere, behind an OpenAI- or Anthropic-style API

Your own servers too, through a relay you run that only connects outward.

Private model servers through an outbound tunnel agent

The tunnel agent is on Enterprise plans. A reachable server can instead allowlist TrueFoundry's IPs.

Bringing a model online

Each model goes live only after its own approval

Model Account Managers add models for the account's users

Deployment
Deployment

Hosted today. On-prem deployment coming in 2027

Managed SaaS, a self-hosted gateway, or fully self-hosted

Approvals

Actualyze. The leading delegation and approval system for AI spend.

Actualyze

Support asks for Model A
Support's Team Ownernamed by Model A's own approval rule
this model
  • Model A
  • Model Bown approver
  • Model Cown approver

Actualyze sends the ask straight to that model's own approver.

TrueFoundry

Support asks for Model A
a Model Account Manageradds Support to the model account
every model in the account
  • Model A
  • Model B
  • Model C

TrueFoundry access covers every model in the account.

Actualyze approvals scale to thousands of people, because each model names its own approver.

An Actualyze team asks for the model it needs, and the model's own rule approves the request on the spot or sends it to a Team Owner (one of the team's leads) or a Workspace Admin. That approval covers the one model and no other. Each budget's Budget Manager decides who may charge it. Authority sits with whoever owns each model and budget, so no central admin queue slows the work.

TrueFoundry grants model access per model account.

A TrueFoundry Model Account Manager adds users and teams to a model account, and a Model Account User can use every model in it. TrueFoundry handles spend separately. Tenant admins set tenant budget rules, and team managers can also set their own team's rules.

Spend

Actualyze. Finance closes the month on AI spend.

Actualyze

October statement

  1. draft
  2. reviewed
  3. settled
budgetcost centeramount
SupportCC-4410$3,120
SearchCC-4412$8,940
AssistantsCC-4415$1,380

total$13,440

Finance closes the month on one Actualyze statement.

TrueFoundry

Cost per team

Export CSV
  • Support$3,120
  • Search$8,940
  • Assistants$1,380

aggregated metrics download as CSV

Finance exports TrueFoundry's cost per team as CSV.

Actualyze turns a month of AI spend into one statement finance settles.

Every Actualyze call charges one budget, the one its API key was created with, so every dollar lands where finance expects it. Team budgets nest under a department budget, and their limits together can't exceed the parent's. At month end Actualyze drafts the statement, with a row for each budget and its cost-center code. Finance reviews it and marks it settled. Governance that finance can't close the month on isn't governance.

TrueFoundry enforces budget rules and reports cost per team.

TrueFoundry budget rules match users, agents, models, provider accounts, or metadata, and every matching rule must allow a request. An enforced rule rejects requests once usage crosses its limit. For chargeback, the TrueFoundry metrics dashboard shows cost per team and exports it as CSV.

Routing

Actualyze. The best model routing in the field.

Actualyze

a customer's question
support-answeran Actualyze Virtual Model
a routing model we train sizes itthen picks the cheapest model strong enough
  • Model A$0.15 / Mnot strong enough
  • Model B$0.60 / Mstrong enough
  • Model C$3.00 / Mstrong enough
    • OpenAI
    • Azure
    • Anthropicstandby
    • Bedrockserving
    • Vertexstandby
    • Google
lowest cost, strong enoughModel B through Bedrock

Actualyze answers with the cheapest model strong enough.

TrueFoundry

a customer's question
a TrueFoundry virtual model
sorts it simple, medium, or complexby fixed signals in the prompt, or an LLM you nominate
  • Model Asimple
  • Model Bmedium
  • Model Ccomplex
    • OpenAI
    • OpenAI
    • Anthropicfirst
    • Bedrocknext
that tier's answer

TrueFoundry returns the answer from that tier's model.

Actualyze reads every request and picks the cheapest model strong enough for it.

An Actualyze Virtual Model is one name for several models. Actualyze trains the routing model that sizes each request and keeps it current as models change, so a new model needs no new signals and no retuning. Each model runs over every provider route the caller can use, and a standby route picks up the call if the serving one fails.

TrueFoundry routes each virtual model with one strategy.

A TrueFoundry virtual model is one name for real catalog models, routed by weight, priority, latency, or complexity. TrueFoundry's complexity routing sorts each request into simple, medium, or complex, by fixed signals in the prompt or an LLM you nominate, and sends it to that tier's target.

Pricing

Actualyze. Priced at what you really pay, down to the call.

Actualyze serves a new model from its first call and shows finance the exposure, never a $0.

Actualyze prices each route, meaning one model through one provider, at your negotiated rate once you confirm it, or at the list price until then. When a model has no published price anywhere, Actualyze keeps it running and flags the cost as unknown until someone confirms a rate, so no model looks free on the month's totals.

TrueFoundry sets a price on each model entry.

A TrueFoundry virtual model can put one model on several providers, such as azure/gpt-4o and openai/gpt-4o. Each provider's model entry carries its own price. TrueFoundry fills in a public cost from its open-source pricing catalog, or you enter a private cost, such as a negotiated contract rate.

Evaluate

Six questions every AI gateway should answer live

If your AI gateway can't tell you who approved a model or what last month cost each team, it's just moving traffic. Put these questions to every vendor on your list, and ask to see each answer working in the product. Actualyze answers every one today, and each comes with a check you can run in your own trial.

  1. Who approves a team's access to each model?

    The leading delegation and approval system for AI spend starts here. In Actualyze, each model names its own approver.

    Request a model that needs approval as a team member, and check who receives the request and where the decision is recorded.

  2. What decides which model answers each request?

    In Actualyze, a routing model we train sizes each request and picks the cheapest model strong enough, the best model routing in the field.

    Send an easy question and a hard one to one Virtual Model, then see which model each was routed to, and why.

  3. What happens to a call when its budget runs out?

    Actualyze rejects it before any model is contacted, so a budget is a real limit and never a surprise on the bill.

    Set a small test budget and confirm the next request is rejected once it reaches its limit.

  4. Does an unknown cost ever show up as $0?

    An unknown cost is never $0 in Actualyze, which marks it unpriced and flags it for FinOps, so no spend hides behind a zero.

    Connect a third-party endpoint with no catalog price, call it, and check the call reads unpriced, not $0.

  5. What is protected before anyone writes a policy?

    Personal data is masked from the first request in Actualyze, in prompts and responses, by a default guardrail nobody can delete.

    Open a new workspace's guardrails before writing any policy, and confirm the default guardrail is already enforcing.

  6. Can finance close the month on AI spend?

    Finance closes the month on AI spend with one Actualyze statement, a row for each budget, reviewed and then settled.

    Generate a statement for a month with traffic, then move it from draft to reviewed to settled.

Common questions

What is the difference between Actualyze and TrueFoundry?
The difference between Actualyze and TrueFoundry is who sets the rules. With Actualyze, access and spend are decided by the people accountable for them, each model's approver and each budget's Budget Manager. TrueFoundry decides access in model account settings, where a Model Account Manager adds users and teams, and sets spend in budget rules written by tenant admins and team managers.
Can Actualyze serve one model through several providers?
Yes, so one provider's outage never stops the work. A Workspace Admin groups the same model across providers, and Actualyze serves each call through any of them the caller can already use, each at its own price.
Does Actualyze charge AI spend back to cost centers?
Yes, and it lands on the statement finance settles. Every Actualyze budget can carry a cost-center code, and a workspace can require one. The full ledger, codes included, also exports as CSV.
Head to head

More comparisons

Give every model an approver and every call a budget.

Connect the providers you already use and test every claim on this page against your own traffic. Or book a demo. We'll walk you through it, and send the Virtual Model engine whitepaper if routing is on your list.