The platform behind your AI agents
Name an agent, write its instructions in plain language, connect what it should know and what it can do — then publish it to Slack, Teams, your website, WhatsApp, email, and a REST API from one configuration.
AI Agents & Workforce
Named specialists for the roles you hire for most, plus the tools to build your own.
10 specialist agents, ready to hire
Klarty, Mentor, Marcus, Calla, Justa, Atlas, Cairo, Ilber, Lyra and Vega — each built for one job, not a generic assistant stretched across all of them.
No-code custom agent builder
Name an agent, write its instructions, connect the datasources it should know and the tools it can use — no engineering required.
Unlimited custom agents
Build as many specialists as your teams need on every plan, from the free trial up.
Per-surface scoping
The same agent can carry a different permission set in workspace chat, the API, and your public website widget — published independently to each.
Configurable autonomy
Decide per agent, and per tool, whether it acts on its own or drafts for your approval first.
Tone and instruction control
Set scope, voice, and escalation rules in plain language — what it should refuse, and when to hand off to a human.
Core AI Engine
The reasoning layer every agent runs on — built to answer from your data, not guess from training data.
Klart Brain
A source-grounded retrieval layer that answers only from your connected, authorized data — and says so when the answer isn’t there instead of inventing one.
Citations on every answer
Every response links back to the document, ticket, or record it came from, so anyone can verify it in seconds.
Long-term memory
Klart Brain builds a persistent understanding of your organization across tools and conversations, so context isn’t lost between sessions.
Multi-model routing
Each task is routed to the best model for the job across leading providers, under one set of governance and sourcing rules — no vendor lock-in.
Autonomy Engine
The permission-enforcement layer that decides what each agent can read, write, and execute on its own — and when it must ask first.
Continuous learning from resolved work
Agents improve from resolved tickets and completed tasks over time, without manual retraining or prompt maintenance.
Integrations & Connectivity
Connects to what you already run — no rip-and-replace.
170+ native integrations
Real, ready-to-connect logos across communication, CRM, finance, engineering, e-commerce and more.
1,000+ tools supported in total
The native directory is the common subset — the full backend catalog runs far deeper, so an unlisted tool is still very likely supported.
Custom API tool
Connect any internal or unlisted system yourself: endpoint, method, auth header, and a parameter schema — it then works exactly like a native integration.
Datasources vs. tools, kept separate
A datasource is what an agent reads; a tool is what it can write, create, or trigger — so you can grant deep knowledge with almost no power, or the reverse.
Every call logged
Each integration call is recorded with who asked, what ran, and what came back.
Deployment & Infrastructure
Scales from a pilot team to the whole company without a re-platform.
Cloud or on-premise
Deploy in the managed cloud or inside your own infrastructure, with full data residency control for regulated industries.
50+ languages
Native language support across the agent roster, with every plan able to answer in the languages your team and customers actually use.
Usage analytics
Track agent usage, response quality, and escalation rates across your whole deployment in real time.
Same-day first result
Connect your tools and get a real, grounded, cited answer the same day — not after a multi-week onboarding project.
Unlimited seats on every plan
Users, agents, and integrations all scale without a per-seat tax — pricing follows usage, not headcount.
