Design
We architect agents around your real workflows. No demos. No POCs that die.
READ THE PLAYBOOKTurion designs, deploys, and operates production AI agents — and the infrastructure that keeps them alive. Orchestration, tool-calling, GPU serving, vector stores, observability. One stack. Zero theatrics.
Most teams need two of these. We do all three under one roof — which is why our agents are still running a year after launch.
We architect agents around your real workflows. No demos. No POCs that die.
READ THE PLAYBOOKProduction-ready from day one. Multi-region, auto-scaling, audit-logged.
READ THE PLAYBOOKWe own the pager. SLOs, observability, drift detection, on-call humans.
READ THE PLAYBOOKA modular stack you can adopt one layer at a time, or all at once. Bring your own models. Bring your own observability. Replace anything; we believe in escape hatches.
Six of the agents currently running for design partners. Each one shipped, instrumented, and on-call.
Resolves T1 tickets end-to-end. Knows your product. Files Jira when it can't.
Drafts technical answers in RFPs and security questionnaires. Cites source.
Long-horizon investigative agent. Plans, browses, synthesizes, defends.
Slack-native. Reads the wiki, writes the runbook, schedules the maintenance.
Daily close, anomaly flags, board-ready memos. Reads NetSuite & Snowflake.
Headless browsing, scraping, form-filling. Acts on the open web like a person.
Boring on purpose. No magical decorators, no hidden state. The control plane is HTTP. The runtime is open. Your eval set is yours.
import { turion } from "@turion/sdk";
// Define an agent with tools, memory, eval gate
const triage = turion.agent({
model: "frontier-2",
system: "You triage support requests for Acme.",
tools: ["search.kb", "jira.create", "slack.notify"],
memory: { kind: "episodic", store: "default" },
budgets: { steps: 12, usd: 0.40 },
eval: { golden: "support_v3", min: 0.92 },
});
// Deploy. We handle the rest.
await triage.deploy({ env: "prod", region: "auto" });from turion import agent, deploy
triage = agent(
model="frontier-2",
tools=["search.kb", "jira.create", "slack.notify"],
memory={"kind": "episodic"},
budgets={"steps": 12, "usd": 0.40},
eval={"golden": "support_v3", "min": 0.92},
)
deploy(triage, env="prod", region="auto")$ turion init support-triage
✓ scaffolded · agents/support-triage
✓ added tools · search.kb, jira.create
✓ wired memory · episodic
$ turion eval support-triage --golden support_v3
✓ 184 / 200 passed · 0.92 ≥ 0.92 gate
$ turion deploy --env prod
✓ rolled · canary 10%
✓ promoted · 100% trafficEvery agent decision is a span. Every span is replayable. Every replay produces a delta. We treat agent quality like SREs treat reliability.
“ We tried two other platforms before Turion. Both demoed beautifully and died in production. Turion shipped a working agent in three weeks and has been on the pager with us ever since. That's the part nobody else does.
No per-seat traps. No 'AI premium'. You pay for runs, GPU-minutes, and stored vectors.
Pair with one of our solutions architects. Two weeks from kickoff to a deployed, evaluated, observable agent in your stack.