Voice Agents
Inbound & outbound phone agents with natural STT/TTS. Handle customer calls, book appointments, and qualify leads 24/7.
autonomous ai platform
AI agents that do real work — across voice, text, and tools
Build, deploy, and scale autonomous AI agents on one platform. Each agent gets a vector knowledge base (RAG), internet access, email, calendar, and any MCP tool — operating 24/7 across phone lines, chat, and APIs.
Trusted by modern enterprises
4.9/5
★ 4.9/5 based on 12 reviews
Your business runs 24/7. Your team doesn't have to.
Every missed call, every unanswered chat, every delayed email follow-up is a lost opportunity. AI agents fill the gap — handling routine interactions while your team focuses on high-value work.
- Missed calls go to voicemail. AI agents answer, qualify, and book — instantly.
- After-hours chats get ignored until morning. AI agents respond with real answers from your knowledge base.
- Manual data entry eats hours. AI agents update your CRM and calendar automatically during conversations.
One platform. Every channel. Real tools.
Deploy agents that work across voice, chat, and APIs — with access to your actual business tools and data.
Chat Agents
Text-based AI agents with RAG knowledge retrieval. Embed on your website, Telegram, or consume via API.
RAG Knowledge Base
Upload documents and let agents retrieve precise, cited answers — no hallucinations, only verified data.
MCP Tool Ecosystem
Email, calendar, spreadsheets, internet search, and any custom API — agents invoke tools in real time.
Multi-Agent Architecture
Run specialized agents per department or task. Each with its own knowledge base, tools, and behavior.
Always On, Always Ready
Agents work 24/7 across time zones. Zero wait time, zero sick days, zero training overhead.
How an autonomous agent operates
A closed loop: input → AI reasoning + tool use → action → logging.
01
1. Input Reception
Voice call, chat message, or API trigger — the agent picks up the request instantly across any channel.
- Multi-channel input
- Zero-wait response
02
2. Intent Understanding & Reasoning
The LLM identifies intent, plans multi-step actions, and decides which tools to invoke.
- Context-aware reasoning
- Multi-step orchestration
03
3. Tool Execution (RAG / MCP / Internet)
Agent queries your knowledge base, searches the web, sends emails, updates CRM — all in a single turn.
- Real-time tool invocation
- RAG-grounded answers
04
4. Response & Automatic Logging
Natural voice or text response delivered instantly. Transcripts, tool results, and actions logged automatically.
- Full audit trail
- Automated CRM entries
What every agent delivers automatically
Full Conversation Transcripts
Every interaction logged word-for-word with timestamps and tool invocation records.
RAG-Grounded Answers
Responses backed by your actual documents — accurate, cited, and verifiable.
Automated Actions
Calendar bookings, email follow-ups, CRM updates — executed during the conversation, not after.
Analytics & Insights
Track agent performance, conversation topics, and tool usage from a unified dashboard.
Platform metrics that deliver
< 1 s
Response time
Instant across all channels.
10+
Languages
PL, EN, DE, FR, ES, IT, PT, NL, UK and more.
24/7
Availability
No downtime, no holidays.
10+
Integrations
Pre-built MCP connectors.
Every tool an agent could need
Ready-made MCP connectors cover your entire business stack.
Vector DB (RAG)
Ground every answer in your own documents, PDFs, and knowledge policies.
Internet Access
Search the web for up-to-date facts during live conversations.
Email, Calendar & Contacts
Send follow-ups, book meetings, update address books — hands-free.
Any MCP Tool
Spreadsheets, databases, or custom APIs — plug in anything in minutes.
Transparent platform pricing
Free Tier
€0 / month
Start with 1 agent, basic RAG, and community tools. Perfect for testing and small projects.
Pro Tier
from €99 / month
Unlimited agents, advanced RAG, full MCP tool suite, voice channel, and priority support.
Enterprise
Custom pricing
Dedicated infrastructure, custom integrations, SLA guarantees, and white-label options.
Trusted by teams across industries
“We deployed a voice agent for after-hours booking. Our appointment rate increased by 40% in the first month.”
“The RAG knowledge base means our chatbot answers customer questions with actual product docs — not generic responses.”
“MCP tools let us wire our entire internal stack. The agent checks inventory, creates orders, and sends confirmations — all in one call.”
Best practices for your first agent
Start with one channel
Pick voice or chat and perfect the flow before expanding to multi-channel.
Map your knowledge first
Upload your key documents, FAQs, and procedures to the RAG base before going live.
Define clear tool boundaries
Specify exactly what each MCP tool can and cannot do — agents respect these boundaries.
See agents in action
Try our interactive demos: voice agents, chat with RAG, image generation, and multi-tool task orchestration.
Frequently Asked Questions
Everything you need to know about VALAR-AI agents.
What types of AI agents can I build with VALAR-AI?
You can build voice agents for inbound/outbound calls, text chatbots with RAG knowledge bases, image generation agents, audio transcription agents, and custom task agents that orchestrate multiple tools through MCP.
What tools can agents access during a conversation?
Agents can query vector knowledge bases (RAG), search the internet, send emails, manage calendars, look up contacts, edit spreadsheets, and call any custom MCP endpoint — all in real time during a conversation.
How does the platform handle multiple languages?
VALAR-AI supports 10+ languages natively across all channels — voice (STT/TTS), text chat, and document processing. Language is auto-detected or configured per agent.
Can I connect my own data and APIs?
Yes. You can upload documents to the RAG knowledge base, connect your CRM, calendar, email via built-in integrations, or wire any custom API through MCP tools.
How do I get started?
Create an account, configure your first agent with a system prompt, connect your tools, and deploy. Most setups go live within 1–3 days.
Ready to deploy your first AI agent?
Build, test, and launch in days — with real tools, real data, and real results.