// compare
Functional AI vs Galtea
Verdict
Galtea is an AI evaluation platform for regulated industries — synthetic test generation, adversarial simulation, red-teaming, and production monitoring, with a compliance posture (ISO 27001, self-hosting, SSO). It tests and monitors AI you built elsewhere; it doesn't host, version, or run anything. Functional AI is the runtime: it executes your Agentic Function, gates versions behind evals, and fails over between models. The two are closer to complementary than substitutes — the overlap is evaluation.
Functional AI is in private beta. Galtea details reflect their published pages as of 2026-09; corrections welcome.
Choose Functional AI for
- Actually running the agent — hosting, versioning, and fallback, with evals built into shipping
- Product teams whose bottleneck is the runtime loop, not compliance-grade adversarial testing
- Shipping new prompt/agent versions without redeploying the app
Choose Galtea for
- Regulated sectors — financial services, insurance, telecom, government
- Red-teaming and adversarial simulation before production
- Synthetic test-case generation when you have no eval dataset
- Compliance requirements: ISO 27001, self-hosting, SSO/MFA, SLAs
Side by side
| Feature | Functional AI | Galtea |
|---|---|---|
| What it is | Agentic Function Runtime — hosts and runs your AI as an Agentic Function | AI evaluation and testing platform for regulated industries |
| Hosts and executes your AI | Yes — prompts, agents, and multi-agent workflows | No — tests and monitors AI you run elsewhere |
| Eval gate before shipping | Yes — enforced by the runtime | Pre-production simulation and testing; gating is your process |
| Automatic model fallback | Yes — runtime failover to a configured backup | No |
| Ship without redeploying | Yes — versioned Agentic Functions | Not applicable — no deployment product |
| Red-teaming / adversarial simulation | No — threshold-based eval gates | Yes — large-scale scenario and adversarial simulation |
| Stage and pricing | Private beta; Team / Scale / Enterprise plans | GA; credit-based free/Pro/Enterprise tiers |
At a glance
- Galtea evaluates, red-teams, and monitors AI systems; it does not host, version, deploy, or execute them.
- Functional AI is the runtime — it executes your prompt, agent, or workflow, enforces eval thresholds before a version ships, and fails over between models automatically.
- Galtea's synthetic test generation and adversarial simulation go deeper than Functional AI's evaluation gates; its compliance posture (ISO 27001, self-hosting, SSO) targets regulated buyers.
- The honest framing is complementary: a regulated team could run Agentic Functions on Functional AI and red-team the overall product with Galtea.
- For teams whose gap is runtime reliability rather than compliance-grade red-teaming, Functional AI is the alternative: it hosts and executes your Agentic Function, enforces eval gates before each version ships, and fails over between model providers automatically.
- Galtea is generally available with named clients in banking and telecom; Functional AI is in private beta.
Honest pros and cons
Functional AI pros
- The whole runtime loop — build, certify, host, call, fall back — in one product
- Evals are wired into shipping by default, not a separate testing project
- One Agentic Function call from your code; no orchestration to own
Functional AI cons
- Private beta — access is via the waitlist or the design-partner program
- No red-teaming or adversarial simulation product
- No compliance certifications published yet — regulated buyers should ask
- No published customer stories or review scores yet
Galtea pros
- Purpose-built for regulated industries, with named banking and telecom clients
- Synthetic test cases without an existing dataset
- Adversarial/red-team simulation at scale before production exposure
- Self-hosting and enterprise security controls
FAQ
- Are Galtea and Functional AI actually competitors?
- Only at the evaluation layer. Galtea tests and monitors AI you run elsewhere; Functional AI runs it. If your question is 'who executes and keeps my agent reliable in production', Galtea isn't in that race — and if your question is 'who red-teams my AI for a regulator', Functional AI isn't either.
- Could we use both?
- Yes, coherently: Functional AI hosts and gates the Agentic Function your product calls, while Galtea runs adversarial simulation and compliance-grade testing against the product as a whole. The overlap — routine quality evals — you'd consolidate on one side.
- We're in a regulated industry. Which should we start with?
- If the immediate requirement is evidence for auditors — adversarial coverage, monitoring, certifications — start with Galtea; that's its home turf and Functional AI publishes no compliance certifications yet. If the requirement is shipping agents reliably at all, the runtime question comes first.
- What are alternatives to Galtea for LLM evaluation?
- Functional AI is a runtime alternative to Galtea for product engineers who need their agent hosted and kept reliable in production. Galtea generates synthetic test cases, runs adversarial simulations, and monitors AI systems you built and run elsewhere — purpose-built for regulated industries (financial services, insurance, government) with ISO 27001, self-hosting, and SSO. Functional AI takes a different approach: it hosts your prompt, agent, or multi-agent workflow as an Agentic Function, enforces evaluation thresholds before any version reaches users, and fails over between model providers automatically when one goes down. The two serve different gaps: Galtea is the choice when the requirement is compliance-grade red-teaming; Functional AI is the choice when the requirement is shipping agents reliably at all. Functional AI is currently in private beta.
Evaluating options? Join the Functional AI waitlist or become a design partner — design partners shape the roadmap and get early access.