Kelanyn scores every ticket and chat against your own rubric, tone, accuracy, process, resolution, then turns the misses into specific coaching moments for each agent. Not a random sample, days late. Everything, daily.
Connects to Zendesk, Intercom, and Freshdesk in about ten minutes.
The share of conversations a typical manual QA program actually reviews. The other 98% go unread.
How long it usually takes a sampled ticket to reach a grader. By then the customer has already churned or forgiven you.
The coverage gap between grading a 2% sample and grading every single conversation. Kelanyn closes it overnight, literally.
Random sampling finds average tickets. Kelanyn grades the whole queue, so the refund promised by mistake, the security question answered wrong, and the customer who asked to cancel all surface the same day.
Each ticket and chat is graded against your rubric within hours of closing. Four dimensions out of the box, tone, accuracy, process adherence, resolution, plus any criteria you add. Ambiguous cases get routed to a human, not guessed at.
Instead of a monthly score dump, each agent gets a short list of specific conversations worth discussing, with the exact message that missed and why. Team leads walk into 1:1s with examples, not vibes.
Kelanyn tracks rubric scores against CSAT and reopen rates, so you can see which rubric lines actually predict unhappy customers. If process adherence has zero correlation with CSAT, you will know, and you can fix the rubric.
No new tab for agents to live in. Kelanyn sits behind your helpdesk and pushes findings to the people who need them.
Authorize Zendesk, Intercom, or Freshdesk with a read-only OAuth connection. Historical tickets start syncing immediately; most teams are done before their coffee is.
Bring the scorecard you already use, paste it in and Kelanyn structures it, or start from our four-dimension template and adjust the weights. Calibrate against 25 conversations your team has already graded.
Every morning, team leads see fresh per-agent scorecards, flagged conversations ranked by severity, and suggested coaching notes. Your QA specialists review the flags, not the queue.
Grade ten conversations or ten thousand, the price is the same. Annual billing shown; monthly runs about 20% higher.
For teams of 20 to 75 agents
$12 / agent / mo
Billed annually
For teams of 75 to 250 agents
$25 / agent / mo
Billed annually, early access pricing locked for 24 months
For orgs of 250 to 500+ agents
Custom
Annual contract
No, and we would not want it to. Kelanyn does the reading; your QA specialists do the judging. In practice their job shifts from sampling random tickets to reviewing the flagged 5%, handling agent disputes, and keeping the rubric calibrated. Teams tell us that is the work they wanted to be doing all along.
During onboarding you run calibration mode: Kelanyn scores conversations your graders have already reviewed, and you see the agreement rate per rubric line before anything goes live. Where the model and your graders disagree, you tune the rubric definitions until they converge. Low-confidence scores are always marked and routed for human review rather than reported as fact.
Conversation data is encrypted in transit and at rest, stays in your regional data store, and is never used to train models for other customers. You control retention, delete a ticket in your helpdesk and it is purged from Kelanyn within 24 hours. We sign DPAs, support EU data residency, and our SOC 2 Type II audit is underway ahead of launch.
Zendesk, Intercom, and Freshdesk at launch, covering tickets, email, and chat. Voice and additional platforms are on the roadmap; if yours is not listed, email us, integration order is driven by early access requests.
Better than you would expect, because full coverage is fairer than sampling. Under a 2% sample, one bad ticket can tank an agent's month. Scored across all 200 of their conversations, one bad ticket is one bad ticket. Agents see their own scorecards, can dispute any score, and disputes go to a human.
We are onboarding a small group of support teams before launch. Early access includes locked pricing for 24 months and a direct line to the founders. Tell us your helpdesk and team size, we will take it from there.
Request early access