List your AI tool on AI Orion for free. Submit a tool

LINKENCE

Hire self-improving AI coworkers that own recurring work across Slack, Jira, Outlook, Drive and more.

Monthly visits
1.8K
Added
Jun 26 2026

About LINKENCE

Linkence provides self-improving AI coworkers for operational teams to surface pending work and complete it across the tools they already use. The product is built to detect work waiting in email, chat, tickets, and internal systems, then assign a coworker to finish the job until next steps are done. It emphasizes keeping judgment with the people responsible for the outcome and escalating sensitive steps for approval.

The system creates a dedicated model per team, trained on that team's use case and workflows, with data staying under control of the customer. It aims to speed up recurring work and improve response and outcomes over time by self-improvement from day one, while keeping changes under human review.

Users connect Linkence to systems like Jira, Slack, Gmail, GitHub and more, enabling end-to-end handling of work from discovery to delivery with context, citations, and auditable timelines.

Linkence provides roles and guardrails per coworker, supports enterprise deployment with tenant boundaries and VPC options, and highlights faster responses and reduced token costs as outcomes of the dedicated team models.

Key features

  • Detects work waiting across email, Slack, tickets, and internal systems
  • Connects to Jira, Slack, Sentry, Gmail and GitHub and more
  • Customizable model per team with data staying in tenancy
  • Self-improving with every task, no retraining required
  • Guardrails and escalation to human approval

Pros and cons

Pros

Self-improving coworkers that learn from outcomes
Dedicated team models with data staying within tenant boundaries

Reviews

Loading reviews…

Frequently asked questions

What is an AI coworker?
A Linkence AI coworker is a digital employee for one recurring job. You give it a name, a role and a written responsibility, connect the apps it may use, and set the guardrails and who it should escalate to. It then runs the work and returns an outcome you can review.
Where should we start?
Choose the department carrying the repeated coordination, backlog, or missed follow-through, then choose one responsibility with a visible output. Bring that job and its owner to the working session. We hire the coworker against the job, not against a generic department demo.
What systems can a coworker use?
Each coworker connects only to the apps you turn on for that job, such as Jira, Slack, Sentry, Gmail and GitHub. It works inside the permissions of its owner and cannot open information that person cannot access.
How does a coworker improve over time?
Every Linkence coworker is self-improving. It learns from the outcome of every task and from how your team responds to its work, then applies those improvements to future runs. Improvements are described in plain language your team can review, and nothing changes how the coworker works without your approval.
What happens in the working session?
We take one team's recurring work, write the responsibility in plain language, connect the apps it needs and run the coworker once so you can see the outcome, the timeline and where a human still steps in. Production access is not required for the first session.
Are customized models available for each engineering team, without data leakage?
Yes. Each coworker on each dedicated team gets a customized model, trained to that team's use case and how they work. Payments does not train Platform. Platform does not train Support. Training and inference stay inside the tenant boundary, including customer VPC where the engagement requires it.

Alternatives to LINKENCE

More in AI Copilot