
Enterprise-Entwicklerplattform und API zum Deployment von GPT-6 Astra, Sol, Luna und multimodalen Echtzeitagenten.

Type.com verzeichnet 18.668 monatliche Besuche mit -21,6 % Wachstum gegenüber dem Vormonat und einem Preismodell „Kostenpflichtig“. TypeSafe AI - Jev verzeichnet 6.148.688 monatliche Besuche mit -36,4 % Wachstum und einem Preismodell „Kostenpflichtig“.

Type.com is a managed-agent platform that turns one person's Claude, Codex or ChatGPT automations into company-wide workflows. Build an agent where you already work, deploy it to managed cloud machines triggered by schedules, webhooks or events, and let teammates run and question it from Slack, Teams, email or the web — with shared connections, per-person permissions, run history and AI cost tracking.

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
| Dimension / Kennzahl | ![]() | ![]() |
|---|---|---|
| Offizielle Domain | type.com | typesafe.ai |
| Preismodell | Kostenpflichtig | Kostenpflichtig |
| Monatliche Besuche | 18.668 (18.668) | 6,15 Mio. (6.148.688) |
| MoM-Traffic-Delta |
| -5134 (-21,6 %) |
| -3,51 Mio. (-36,4 %) |
| Primärmarkt und Anteil | 🇺🇸 Vereinigte Staaten (57,8 %) | 🇺🇸 Vereinigte Staaten (26,4 %) |
|---|
| Direkte Besuche / Monat | 11.942 | 3,14 Mio. |
|---|
| Nutzerbewertung | 4,5 | 4,2 |
|---|
| Unterstützte Plattformen | Website | Website |
|---|

Type.com is a managed-agent platform that turns one person's Claude, Codex or ChatGPT automations into company-wide workflows. Build an agent where you already work, deploy it to managed cloud machines triggered by schedules, webhooks or events, and let teammates run and question it from Slack, Teams, email or the web — with shared connections, per-person permissions, run history and AI cost tracking.
Each agent runs in its own sandboxed cloud VM with a filesystem, shell and browser, so one automation never interferes with another. Schedules, webhooks and events start work automatically, and runs are checkpointed and retried when an API times out.
Every turn runs a full harness — Claude Code, Codex, OpenCode, Gemini CLI and more — with tool calling, a terminal and a file system, combined with deterministic script steps for calculations and formatting.
Connect 1,000+ business tools via OAuth, MCP or custom APIs once, then share controlled access with agents, automations, apps and teammates, with permissions set by user, Space, role and tool call.
See inputs, steps, outputs, duration and cost for every run, catch failures, follow automatic retries and watch AI spend broken down by Space, automation and person.

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.
Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.
TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.
Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.

Enterprise-Entwicklerplattform und API zum Deployment von GPT-6 Astra, Sol, Luna und multimodalen Echtzeitagenten.


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Enterprise-Entwicklerplattform und API zum Deployment von GPT-6 Astra, Sol, Luna und multimodalen Echtzeitagenten.
Googles Rapid-Prototyping-IDE und Entwickler-API-Workbench für multimodale Anwendungen mit Gemini-Modellen.
SpezialisiertBietet Zugriff auf verschiedene Basismodelle über eine API, es fehlen jedoch spezialisierte typisierte Entscheidungsbewertungen und Konfidenzmetriken.
Zapier is a no-code automation and AI orchestration platform that connects thousands of apps so you can build automated workflows, AI agents and chatbots without writing code, and govern them with enterprise-grade controls.
Kostenlos / Open SourceQuelloffene Workflow-Automatisierung für KI-Agenten und technische Teams
No-Code-Baukasten für eigene KI-Agenten und Workflows
Kostenlos / Open SourceProduktionsreife agentische KI-Workflows erstellen, bereitstellen und steuern
Tines is an enterprise platform for building, running and governing AI agents, internal apps and automated workflows in one secure environment, with centralized credentials, permissions and monitoring for IT and security teams.
Kostenlos / Open SourceOpen-Source-KI-Automatisierung: Agenten, Flows und über 770 App-Integrationen