Compare·Enterprise AI gateway and LLMOps platform
Continuum
Multi-agent workbench
VS
TrueFoundry
Enterprise AI gateway and LLMOps platform

Continuum vs TrueFoundry

A platform you deploy into your own infrastructure, next to a workbench that installs on a laptop and governs a different kind of AI spend.

TrueFoundry sells an enterprise AI platform with a gateway at its center. The AI Gateway fronts what its site calls 1,600+ models with routing, fallbacks, rate limits, quotas, and cost controls; alongside it sit an MCP Gateway for agent-to-tool connectivity, an Agent Gateway for agent identity and access policy, a model deployment platform for serving open models with vLLM, SGLang, or KServe, and framework-agnostic tracing that exports to Grafana, Datadog, and Prometheus. It publishes sub-3ms internal gateway latency, 10B+ requests processed a month, 99.99% uptime, and SOC 2, HIPAA, and GDPR certification, with named customers including Cargill, NVIDIA, ResMed, Mavenir, and Automation Anywhere. The whole thing is Kubernetes-native and can run in your VPC, on-prem, air-gapped, or across clouds. Continuum is not competing for that footprint. It is the free workbench where developers run Claude Code, Codex, Cursor, Grok, and OpenCode under their own subscriptions, with worktree isolation, plan gates, diff review, and PR merge in the session, plus org model policy, weekly spend caps, and approvals over exactly that surface. TrueFoundry wins when a regulated enterprise needs gateways and models inside its own boundary. Continuum wins when the AI you need to govern is engineers writing code.

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Workflow Monday path Matrix Decide Money FAQ

Updated 2026-08-03 · Mac stable · Win/Linux desktop beta

Choose Continuum when

Pick Continuum when the AI you need to govern is coding agents, you want model policy, weekly caps, approvals, and per-repo cost this week, and you do not want to operate a Kubernetes-hosted gateway to get there.

Choose TrueFoundry when

Pick TrueFoundry when a regulated enterprise must run gateways, MCP servers, agents, and model serving inside its own VPC, on-prem, or air-gapped boundary, with SOC 2, HIPAA, GDPR, RBAC, SSO, and immutable audit logs across the whole platform.

Snapshot direct alternative
Dimension Continuum TrueFoundry
Footprint App install on Mac, web, iPhone, Watch Kubernetes-native platform, SaaS or your VPC
Primary buyer Engineering org running coding agents Platform and ML teams at regulated enterprises
Scope Coding-agent sessions and their governance Gateway, MCP, agents, model serving, tracing
Model reach Claude · Codex · Cursor · Grok · OpenCode 1,600+ models plus self-hosted open models
Repo contract Worktree + branch · plan gate · diff · PR Not in scope for a platform layer
Compliance Not asserted here SOC 2 · HIPAA · GDPR · SSO · audit logs
Entry price $0 workbench, BYOK $0 for 50k req/mo, then $499/mo Pro
Mac stable · web · iPhone · Watch · Win/Linux desktop beta · free app
01

Platform adoption vs workbench install

In Continuum

Put controls on AI coding by Friday

09:15

Install the workbench on one team's Macs. Nothing is deployed, no cluster is provisioned, and no traffic is rerouted.

11:30

Set org model policy so members can only start sessions on approved providers and models, enforced when the session spawns.

14:45

A member reaches the weekly spend cap and files an approval request. The lead grants headroom for the release week only.

17:20

Read the week in Usage analytics: which repo consumed the provider window, on which models, on which days.

In TrueFoundry

Stand up governed AI infrastructure inside the boundary

09:15

Start on the free Developer tier for 50,000 requests a month and validate routing, fallbacks, and the universal API against your services.

11:30

Plan the real install: Kubernetes in your VPC, on-prem, or air-gapped, with SSO, RBAC, and immutable audit logs for the security review.

14:45

Deploy open models on your own GPUs through the model deployment platform and put the MCP Gateway in front of internal tools.

17:20

Wire tracing into Grafana, Datadog, or Prometheus, then set quotas and cost controls per team across everything the gateway fronts.

02

Monday path

Monday with a platform decision and a workbench decision

Install, connect, first session - steps you can run the same day.

01

Separate the two questions before anyone demos anything. Where does model inference run for our products, and how do we govern engineers using coding agents? They are not the same procurement.

02

For the platform question, start on TrueFoundry's free Developer tier. It gives 50,000 requests a month for 3 users with no credit card, and the sandbox is available immediately, so you can test routing and the universal API the same day.

03

Then price the deployment you would actually buy. VPC, on-prem, and air-gapped installs are Enterprise-tier only, and TrueFoundry notes roughly $600 to $1,000 a month of infrastructure cost when you self-host, on top of the license.

04

Check the user counts against your org. Pro is $499 a month for 10 users and 1M requests; Pro Plus is $2,999 a month for 25 users at the same request ceiling. Seats, not just requests, often decide the tier.

05

For the coding question, install Continuum on one team's Macs and start a worktree session per ticket. Nothing has to be deployed for this step.

06

Turn on org model policy and a weekly spend cap for that team, then run one approval request end to end so you have seen the gate work.

07

Compare honestly at the end of the week: TrueFoundry's dashboard for the traffic you routed, Continuum's per-repo, per-provider, per-model, per-day ledger for what your engineers actually spent on agents.

08

If both are yes, decide the boundary deliberately rather than asking either product to grow into the other's job.

How Continuum governs without infrastructure

How Continuum enforces org policy with nothing to deploy

  • The workbench is the control point, so there is no gateway to stand up, no cluster to run, and nothing on the request path to keep highly available.
  • Org model policy is evaluated when a session spawns, deciding which providers and models a member may launch at all.
  • Weekly spend caps and approval requests live on the same object, so a member at the ceiling asks for headroom rather than hitting an opaque failure.
  • Each managed session gets a real git worktree and branch, so concurrent agents are contained before any edit lands.
  • Plan mode holds the agent read-only until an explicit approval, which can come from Mac, iPhone, or web against the same live session.
  • Local agent history is priced into tokens and dollars by repo, provider, model, and day, with no proxy in the path for BYOK sessions.
  • Optional hosted inference is available when you want a managed endpoint instead, with OpenAI-compatible and Anthropic-compatible shapes and cont_sk_ keys.
03

Enterprise gateway and workbench matrix

Cells use product nouns on both sides. Continuum is the multi-provider workbench; they win where their loop is the product.

Capability Continuum TrueFoundry
Governs coding agents on developer machinesSubscription CLI sessions do not cross a gateway Model policy, caps, approvals at the workbench Governs traffic routed through its gateway
Deploy inside your own VPC or air-gappedTrueFoundry wins this outright for infrastructure Agents run on your own enrolled hosts VPC, on-prem, air-gapped, multi-cloud on Enterprise
Serve and deploy open models yourself Not a model serving platform vLLM, SGLang, KServe deployment platform
Unified API across many providers Hosted inference is OpenAI and Anthropic compatible Site states 1,600+ models behind one gateway
MCP and agent-to-tool governance MCP servers run per session under the provider CLI MCP Gateway and Agent Gateway products
Per-session git worktree and branch isolation Real worktree plus branch per managed session No repository layer in the platform
Plan approval before an agent writes Read-only Plan mode with explicit approve and run Not a platform-layer capability
Per-hunk diff review and PR merge in session Stage, revert, create PR, watch checks, merge Out of scope
Spend and rate controlsBoth enforce; the metered object differs Weekly caps per member with approval requests Rate limiting, quotas, and cost controls at the gateway
Cost attributed to a repository Repo, provider, model, and day locally Token, latency, and error tracking per gateway traffic
Live provider quota gauges 5h and weekly subscription windows read live Meters gateway usage, not a provider subscription window
Published compliance certifications Not asserted on this page SOC 2, HIPAA, GDPR with SSO, RBAC, audit logs
Open-source components Packaged product, not a fork target Platform is not open source; TrueForge and Cognita are
04

Where the scopes stop overlapping

01 · What you are buying

One is a platform you operate. One is an app you install.

TrueFoundry is Kubernetes-native and its differentiated value is running gateways, MCP servers, agents, and model serving inside your own boundary. That is a platform adoption with an infrastructure bill attached; TrueFoundry itself puts self-hosted infrastructure at roughly $600 to $1,000 a month on top of license. Continuum installs on a laptop and starts governing coding agents the same day. Neither shape is better in the abstract, but they are very different projects.

02 · The blind spot a gateway has

Coding agents on subscriptions never take the gateway hop.

When an engineer runs Claude Code signed in with their own Claude subscription, the request goes straight to the provider. No gateway sees it, meters it, or can cap it. This is the structural reason a gateway purchase does not close the AI-coding governance gap, and it is why Continuum enforces at spawn time in the workbench instead of at request time on the wire.

03 · Bifrost is not TrueFoundry's gateway

If you arrived searching for Bifrost, note who builds it.

Bifrost is an Apache 2.0 AI gateway from Maxim AI, published under the maximhq GitHub organization with roughly 7.4k stars. It unifies 23+ providers behind an OpenAI-compatible API and claims under 15 microseconds of added latency at 5,000 requests per second. TrueFoundry publishes comparison content about Bifrost as a competitor, not as its own project. Treat them as two separate vendors when you evaluate, and treat any page that conflates them with suspicion.

04 · Where the cost question lands

Requests and seats, versus repositories and windows.

TrueFoundry meters requests and users: 50,000 requests and 3 users free, 1M requests and 10 users at $499 a month, 1M requests and 25 users at $2,999, 10M+ on Enterprise. Continuum meters nothing for BYOK sessions and reports spend by repo, provider, model, and day so an engineering lead can answer which repository burned the weekly window. If your question is which service is calling which model, TrueFoundry answers it. If your question is which project is burning your Claude Max window, Continuum does.

05 · Compliance posture

For a regulated buyer, TrueFoundry's paperwork is the point.

SOC 2, HIPAA, GDPR, SSO, RBAC, immutable audit logs, air-gapped deployment, and named enterprise customers including Cargill, NVIDIA, and ResMed are a coherent answer to a security review. This comparison does not claim a matching certification set for Continuum, because that is not what this page verified. If certification is the gate on your purchase, that gate belongs to TrueFoundry here.

05

Coexistence

Stack recipe

How people run both.

These stack rather than collide. TrueFoundry can own the model and gateway infrastructure your products call, including self-hosted open models in your VPC. Continuum can own the coding-agent layer your engineers work in, where the branch boundary and the plan gate live. If your engineers should call your own gateway rather than a vendor's, point a Continuum session's provider at the endpoint TrueFoundry exposes and keep the workbench controls on top.

Download Continuum Providers
06

Pick by footprint and by surface

Continuum

Choose Continuum for governance of AI coding

  • The AI you actually need to govern is engineers using coding agents.
  • Your developers are signed in with their own subscriptions, so no gateway can see that spend.
  • You need a branch boundary, a plan gate, and diff review, which a platform layer does not provide.
  • You want governance running this week with no cluster, no VPC install, and no traffic rerouted.
  • You want cost attributed to a repository and a provider window rather than to a request count.
  • You would rather add a flat-fee hosted endpoint later than operate inference infrastructure now.
TrueFoundry

Choose TrueFoundry for AI infrastructure you host

  • Regulated requirements force gateways and models inside your VPC, on-prem, or air-gapped.
  • You need to deploy and serve open models yourself on vLLM, SGLang, or KServe.
  • MCP servers and agent identity need centralized governance across the organization.
  • SOC 2, HIPAA, GDPR, SSO, RBAC, and immutable audit logs are procurement gates.
  • Tracing must export into an existing Grafana, Datadog, or Prometheus stack.
  • You are buying a platform for many teams, not a tool for one engineering group.
07

What you pay and what you operate

Continuum

App + your labs

$0 for the workbench on Mac, web, iPhone, and Watch, running under the subscriptions you already pay for. Optional hosted inference is Plus at $25, Max 100 at $100, Max 200 at $200, and Ultra at $500 per month, with weekly allowances of $25, $100, $200, and $1,000.

TrueFoundry

Their bill

TrueFoundry's Developer tier is $0 for 50,000 requests a month, 3 users, up to 10 saved prompts, SaaS only. Pro is $499 a month for 1M requests and 10 users, with an additional $499 a month buying 2M requests and 5 API keys. Pro Plus is $2,999 a month for 1M requests and 25 users with an enterprise SLA and dedicated onboarding. Enterprise is custom for 10M+ requests a month and is the only tier with VPC, on-premise, and air-gapped deployment. TrueFoundry states self-hosting infrastructure costs roughly $600 to $1,000 a month on top.

How to compare

Total cost of work

The two bills buy unlike things. TrueFoundry prices requests, seats, and the right to run inside your own boundary. Continuum charges nothing for the workbench or for BYOK sessions and prices only optional hosted inference, as a flat monthly fee with a weekly allowance.

TrueFoundry plans checked 3 August 2026 against their pricing page. Vendors reprice often - if you spot a stale figure, tell us and we will fix it. Continuum never marks up a session it runs under your own login.

Continuum ladder: Free app · Plus $25/mo · Max 100 · Max 200 · Ultra - full pricing. Also analytics, multi-account, devices.

08

Questions

Continuum vs TrueFoundry.

Deep dives: docs, providers, sessions.

TrueFoundry is an enterprise AI platform built around an AI Gateway. It also ships an MCP Gateway, an Agent Gateway, a model deployment platform for serving open models, and framework-agnostic tracing. It is Kubernetes-native and can run as SaaS or inside your own VPC, on-prem, or air-gapped environment.

The Developer tier is free for 50,000 requests a month and 3 users on SaaS. Pro is $499 a month for 1M requests and 10 users. Pro Plus is $2,999 a month for 1M requests and 25 users. Enterprise is custom priced for 10M+ requests a month and is the tier that unlocks VPC, on-premise, and air-gapped deployment. TrueFoundry notes roughly $600 to $1,000 a month of infrastructure cost when self-hosting.

No. Bifrost is an Apache 2.0 open-source AI gateway from Maxim AI, published under the maximhq GitHub organization with roughly 7.4k stars, unifying 23+ providers behind an OpenAI-compatible API. TrueFoundry writes comparison content about Bifrost as a competing product. They are separate vendors with separate licenses and roadmaps.

The platform itself is not open source. TrueFoundry does publish open-source projects including TrueForge, an agent harness it describes as vendor-neutral, along with Cognita, KubeElasti, and CruiseKube. If a fully open control plane is the requirement, evaluate those components specifically rather than the platform as a whole.

Only for the AI-coding governance slice. Continuum does not deploy models, host MCP servers for the enterprise, or run inside your Kubernetes cluster. It governs the coding agents developers run, with org model policy, weekly spend caps, approvals, worktree isolation, plan gates, diff review, and per-repo cost. If you need infrastructure inside your boundary, that is TrueFoundry's job.

Yes, and it is a clean split. Let TrueFoundry own the gateway and model infrastructure your products call. Let Continuum own the workbench engineers work in. If you want engineering traffic on your own endpoint, point a session's provider at the endpoint TrueFoundry exposes and keep the workbench controls on top of it.

Begin

Run your agents
in Continuum.

Free app. Your subscriptions. Optional hosted inference. Mac stable - Windows and Linux desktop are beta.

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vendor-neutral · local-first · multi-device