AI Agents for your customer support.
Purpose built to help customers at every stage of their journey, across chat, email, and voice, to resolve queries and increase revenue.
Built for B2B teams starting up to $200M ARR
Every support reply is a line item on your revenue.
One AI-native platform resolves conversations with full account context — then routes the churn, upsell, and product signals inside them to the person who can act, the same day they happen.
Built differently, on purpose.
Six things that change when the whole platform is designed for AI from day one — not a legacy ticket queue with a chatbot glued on top.
Start with a free trial
Explore the full platform on a 14-day free trial — every channel, every seat, every agent. No credit card to see real resolutions on your own docs first.
Simple ticket pricing
$300/month includes up to 500 support tickets. Above that it's just $0.50 per ticket — never per seat or per message. One number your finance team can plan around.
Dollar-tracked ROI
Resolution rate, churn prevented, and upsell pipeline created roll up into a single revenue-impact number your CFO will understand.
AI-native, not bolted on
Context, resolution, and routing are one system — built from the ground up for the AI era, not retrofitted onto a 2007 ticketing model.
Full account context
Every conversation is enriched with CRM stage, billing status, and product usage before the agent — human or AI — ever replies.
Built for B2B
Designed for growing B2B teams doing $1M–$50M ARR, with the integrations, routing, and roadmap consumer-support tools were never built to handle.
From first message to routed revenue signal.
Six steps, one connected system — no separate tools to stitch together.
Unify every channel
Email, chat, in-app, Slack Connect, and WhatsApp thread into one inbox with one set of shared automations.
Load the context layer
Knowledge base, ticket history, CRM stage, billing status, and product usage sync before any reply.
Resolve, or draft
The agent resolves only when confident; otherwise it writes a complete, cited draft for a human to send.
Scan for signals
Every conversation is read for churn language, upsell asks, competitor mentions, and feature gaps.
Attribute to a dollar
Each signal is tied to the account, its ARR, and its renewal date — not just a ticket count.
Route the same day
Churn → CSM, upsell → AE, feature → product. The right brief lands before the customer escalates.
Four signals. Four colors. One routing rule each.
The same semantic palette runs through the inbox, the ledger, and every dashboard — so a glance tells you what needs a human.
Caught before renewal
Cancellation language and quiet disengagement, flagged with the account's renewal date attached.
Expansion, surfaced
Seat requests, plan-limit hits, and "can we add…" asks, attributed to live pipeline value.
Roadmap, from real demand
Feature requests counted and de-duplicated so product hears the loudest asks, not the last one.
Named before you lose
Competitor mentions and price comparisons pulled out the moment they appear in a thread.
Loved by support, sales, and success teams.
“We pointed Knowledge Agents at our help center and it was live before our next standup. Customers get answers in seconds now, and our team finally gets to focus on the conversations that actually need a human.”
“The accuracy is what sold us, answers are grounded in our own docs, so we trust what it tells customers. What was surprising was the ability for the knowledge to improve itself.”
“Setup took an afternoon. Customers had immediate access to a portal with answers and escalation options. Hands off to a human with full context is a game changer.”