Nexos.ai vs TrueFoundry (2026): Enterprise AI Gateways Compared — and Where Kosmoy Fits

Three shapes on the same ten axes. nexos.ai (orange) peaks on Gateway & Policy Control and Guardrails and holds a workspace-driven Agent Building score, but drops on Deployment Sovereignty — it is vendor-hosted only. TrueFoundry (violet) peaks on Gateway and Deployment Sovereignty with stronger observability. Both cluster low on the inventory, compliance and evals axes — the gateway category's signature. Kosmoy (blue) trades a little raw gateway breadth for reach across inventory, compliance and agent containment. Read it as area: the two gateways compete spoke by spoke; the suite covers the web.

One governed surface for the whole company. The Workspace gives employees chat across 200+ models, no-code AI Agents and shared Projects on the same governed platform as the developer gateway (features). TrueFoundry governs traffic and infrastructure for builders; it has no employee workspace and no agent builder of its own — it deploys and governs agents built elsewhere.

First-party guardrails, on by default. Input/output filtering and real-time PII blocking/redaction (emails, cards, IBANs, location) ship as part of the platform, scoped per team, tool and model (AI Guardrails) — no engine selection or third-party orchestration required, where TrueFoundry pairs its built-in rails with roughly ten external guardrail engines.

EU residency with an ISO 42001 certificate. An EU-hosted gateway with zero-data-retention processing and SOC 2 Type II, ISO 27001 and ISO 42001 certifications (EU gateway); TrueFoundry's documented posture is SOC 2 Type 2, HIPAA and GDPR, without ISO 42001.

Adoption without a platform team. Per-seat workspace tiers plus a pay-as-you-go gateway (pricing), with budgets, hard caps, rate limits and per-team credit limits enforced in the request path (AI Gateway) — rolled out like a SaaS app, where TrueFoundry presumes a Kubernetes estate and engineers to run it.

It runs in your infrastructure. SaaS, hybrid or self-hosted on your Kubernetes, with a documented air-gapped install — images and Helm charts mirrored to a customer-controlled registry, no outbound dependencies. nexos.ai offers no customer-managed deployment as of August 16, 2026; its “private hosting” is isolated tenancy inside nexos's own EU infrastructure.

A full ML platform beneath the gateway. vLLM/TGI/Triton model serving with autoscaling and canary deploys, fine-tuning jobs and fractional GPUs — deepened by the June 2026 Seldon AI acquisition. nexos.ai routes to models, including customer-hosted ones like Ollama, but serves and trains nothing.

Deeper MCP and agent governance. A central registry of approved MCP servers, Virtual MCP Servers that expose only curated tool subsets, per-user identity passthrough and OAuth token management (MCP access control), plus an Agent Gateway since June 2026. nexos.ai's MCP support is a curated set of managed integrations (Atlassian, GitHub, GitLab).

Observability and resilience depth. OpenTelemetry traces, request logs showing routing and guardrail decisions, cost per team/user/model/app, cost-velocity circuit breakers and TrueFailover (January 2026) for degradation-aware failover. nexos.ai keeps request logs 7 days and metrics 90 days, with no OTel export documented (changelog).

nexos.ai answers “how do we give employees and developers governed AI access?” TrueFoundry answers “how do we route, serve and scale AI on our own infrastructure?” Neither answers “what AI is running across the organization, can we prove it is compliant, and what happens when an agent misbehaves?” If the deciding factor is a control plane in your infrastructure with governance beyond traffic — inventory, compliance evidence, containment — the category changes.

Kosmoy runs single-tenant in your Kubernetes and includes the gateway both vendors sell — one OpenAI-compatible policy point with guardrails, RBAC, budgets and logging — but wraps it in the layers a gateway leaves out: a risk-tiered inventory of every model, MCP server and agent across the estate; EU AI Act, ISO 42001 (aligned) and NIST AI RMF evidence built from registry state plus gateway logs; and kernel-enforced Action Capsule containment for agents that act.

So the honest framing is not “Kosmoy beats nexos.ai and TrueFoundry at being a gateway” — nexos.ai is a stronger employee front door and TrueFoundry adds real ML-platform depth Kosmoy does not. It is that a gateway covers two or three spokes of the ten-axis capability map. If the requirement is the whole web — inventory, gateway, compliance and containment in one self-hosted platform — that is a suite decision, not a gateway decision.

For a team whose problem genuinely is governed AI access, pick on the hosting axis: nexos.ai if an EU-hosted, vendor-run platform is acceptable and adoption speed matters; TrueFoundry if the gateway must live in your VPC — or if you also need model serving and GPUs. Both expose OpenAI-compatible endpoints, so application traffic moves with a base-URL change; the sticky parts are the workspace habit on one side and the Kubernetes estate on the other.

For an enterprise that has to prove control over all of its AI — not just route it — the choice is not between these two but between a point tool and a suite. Kosmoy can also coexist with either: some teams keep TrueFoundry for serving and GPUs, or nexos.ai as an employee chat surface, while Kosmoy holds the estate-wide inventory, compliance evidence and containment for what reaches production.