One place to see every agent a company runs, what each one costs - and what it delivers.
Agents, copilots, skills, and AI apps spread across vendors and teams, however leadership can't answer three basic questions:
No inventory, no owners. Duplicated work, shadow AI live with no review.
Spend scattered across OpenAI, Anthropic, Gemini. Spikes discovered when the bill arrives.
The hardest one. No link between the spend and the results. When finance asks, the answer is a shrug.
Production MVP, live today. Unlike observability tools that stop at tokens and cost, Jents connects AI activity to the business metrics it was brought in to move.
When you hire an employee, you give them a salary and goals, then track their results. Jents enable that for the AI workforce, at scale.
Every competitor targets R&D teams. Jents serves the entire org with frictionless adoption, connecting strategic KPIs to AI initiatives.
Every customer feeds cross-company benchmarks and insights nobody else can offer.
The hardest part to build - and there's no open source around it. It's the layer every observability tool is missing.
Free version first: teams fall in love and build daily habits around it. Once Jents is embedded in their operations, subscription follows naturally.
Low seat-based pricing plus usage. Product-led growth at the bottom, sales-led motion for the enterprise.
Companies big enough to feel the AI chaos, small enough to adopt fast. Landing with the CTO, Head of AI, and business-side leaders.
OpenAI / Anthropic consoles: single-vendor, usage numbers only.
✦ Jents is cross-vendor and connects usage to business impact.
Datadog, LangSmith, Langfuse: built for engineers, they trace tokens and stop there.
✦ Jents is built for the whole org and adds what they all miss: what the spend delivered.
Spreadsheets: manual, instantly stale, no attribution, breaks at scale.
✦ Jents is automatic from day one.