40+ support teams

Teams that stopped hiring to keep up

Most of our customers tried to solve this by adding headcount. Every quarter, more tickets — so more agents. Then they tried Replixa. The hiring stopped.

Kaspara Labs
B2B analytics SaaS — 180 employees, 12 support agents
91% autonomous resolution
43s median response time
+18 CSAT points gained

"We were at a crossroads — hire 3 more agents or find a way to not need them. Replixa handled 91% of our Tier-1 and Tier-2 tickets in the first month. Our team of 12 now handles the same volume that used to require 18. The math is brutally clear."

— Dani Okafor, VP Support, Kaspara Labs

Novanode
DevOps infrastructure platform — 90 employees, 6 support engineers
88% autonomous resolution
8h→2m median first response
0 new hires needed Q1-Q2

"Our support tickets are technical, but the common ones follow patterns. Replixa learned those patterns from our runbook and KB in days. Account status, billing questions, access provisioning — all handled automatically now. Our engineers focus on the edge cases that actually need them."

— Tomás Henriksen, Head of Customer Engineering, Novanode

Driftline
Logistics workflow software — 220 employees, 20 support reps
94% autonomous resolution
52s median time to resolution
+22 CSAT points gained

"We process thousands of tickets a week — billing issues, integration questions, account access, carrier setup. All Tier-1 and Tier-2. Replixa handles 94% of them. Our 20-person team now operates like a 30-person team. CSAT went up 22 points in 90 days, not because we hired better people, but because response time dropped from hours to seconds."

— Yuki Haramoto, Director of CX, Driftline

What customers measure after 90 days

~91% Average autonomous resolution rate across Tier-1 + Tier-2 tickets in the first 90 days
8h → 1m Median first response time improvement — from multi-hour queues to under 90 seconds
+17 pts Average CSAT delta at 90 days. Faster resolution, more accurate answers — customers notice

More from the queue

"I was skeptical about AI resolving technical tickets. But our runbook is thorough, and Replixa uses it better than a new hire would. It queries the API, finds the account, reads the relevant section, and writes a correct response. That's all we needed."

Sanjay Raman Support Engineering Lead — cloud monitoring platform, 140 employees

"We tried two other AI support tools before Replixa. Both deflected — sent article links and called it resolution. Replixa actually answers the question. That's the only thing that matters to our customers."

Claire Lindström Head of Customer Success — HR automation SaaS, 310 employees

"The escalation summaries are the part I didn't expect to like. When Replixa can't resolve a ticket, it hands it off with full context — what it read, what the account data showed, why it escalated. My team opens a prepped ticket instead of starting from scratch."

Patrick Keller VP Customer Experience — payment infrastructure startup, 75 employees

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