Hiring linearly won’t scale with your roadmap.
Ticket volume grows with your product surface area. Hiring agents one-for-one is a margin tax that compounds with every feature shipped. Atheena converts the linear cost into a fixed-and-flat one.
[ Atheena · A product by TEKKNA ]
Atheena.
AI-supercharged customer supportAtheena reads your tickets, drafts the response, answers in your customer’s language, and escalates only what needs a human. On EU-resident infrastructure, with behaviour you can audit — not just trust.
10×
Faster first response
60%
Tickets self-resolved
30+
Languages supported
100%
EU-resident data
The pieces — LLMs that understand language, retrieval over your knowledge base, fine-grained policies on what to escalate — have stopped being research. The companies still running support like it’s 2020 are paying for it twice over.
Ticket volume grows with your product surface area. Hiring agents one-for-one is a margin tax that compounds with every feature shipped. Atheena converts the linear cost into a fixed-and-flat one.
30+ languages, native-quality, with the same tone of voice and policy enforcement across every market. No more “sorry, only English support” or paying for a team in three time zones.
Help-center articles, internal runbooks, past tickets — Atheena retrieves the right answer from every source and grounds responses in citations. Hallucinations cost trust; we don’t ship them.
Customer messages are personal data. EU-resident processing, no US data transfers, audit logs for every model interaction. Built for buyers whose security teams say no by default.
Every ticket runs through the same loop — explicit, deterministic, and inspectable in the dashboard whenever you want to look.
The incoming message is parsed for intent, language, customer history, and urgency. Sentiment and SLA risk are scored before anyone touches the keyboard.
Atheena pulls the relevant policy, KB articles, and prior tickets. Every response cites its sources. No retrieval, no answer.
A response is drafted in the customer’s language, on-brand, with the right tone for the channel. Auto-send if the confidence is high. Human review otherwise.
Anything ambiguous, sensitive, or beyond policy lands on a human queue with the full context already summarised. Agents arrive informed, not cold.
Atheena is opinionated about how it works but flexible about what it plugs into. Connect your helpdesk, your KB, your LLM of choice — we don’t lock the model layer.
Intent classification, urgency scoring, and auto-routing on every inbound message. Trains on your historical data, not someone else’s.
Atheena writes the first draft in the customer’s language, on-brand, with citations. Auto-send or human-in-the-loop — you set the threshold.
RAG across help-center articles, internal runbooks, past tickets, and product docs. Citations on every response. Stale-content detection built in.
30+ languages out of the box, with consistent tone, terminology, and policy across all of them.
Detects frustrated, urgent, or VIP customers and routes them straight to a human with the context pre-summarised.
Every model call logged, citable, and replayable. Deflection, CSAT, SLA, response time — in one dashboard, exportable.
Data stays in the EU. No cross-border transfers. DPAs, TOMs, sub-processor lists ready for procurement on day one.
Anthropic, OpenAI, Mistral, Llama, or your own self-hosted weights. Atheena is the orchestration layer, not a model vendor.
Zendesk, Intercom, Front, HubSpot, custom webhooks. Atheena sits behind whatever you already use — agents don’t change tools.
Atheena components run on EU-resident infrastructure with continuous monitoring. Uptime over the last 30 days, broken out by component.
99.99% · 30d
99.97% · 30d
99.99% · 30d
99.96% · 30d
100.00% · 30d
100.00% · 30d
No incidents in the last 90 days · Updates posted live as they happen.
We onboard a handful of design partners each month. Tell us about your team and we’ll be in touch with a personalised demo — or jump straight to a 20-minute call.
We’re looking for B2B SaaS support teams handling 1k+ tickets/month who want the AI stack done right — sovereign data, auditable behaviour, human-in-the-loop where it matters.
Public preview: second half of 2026.