TALKR

Main Features & Characteristics

TALKR combines natural omnichannel interaction with process automation. Supports Telephony/VOIP, Web Chat, and Messaging (WhatsApp, SMS, RCS). The platform uses transparent multi-LLM orchestration (Mistral, GPT, Gemini, Llama, Deepseek, etc.) and its own semantic engine. As a pure no-code platform, business users can configure, manage, and supervise agents directly via dashboards, with connections to MCP, APIs, and various business tools (e.g., Calendly, Zendesk, N8N, Make).

Target Users

Mid-market, large corporations, and SMEs across industries such as transportation & last-mile delivery, energy, B2C IT support, car dealerships, and industrial sectors, specifically for customer service, support, sales, and marketing departments.

Core Advantages

• 11 Off-the-shelf AI Agents: Including Receptionist, Quote Reminder, Order Tracking, Lead Qualification, HR Support, Cold Prospecting, Unpaid Invoice Collection, Appointment Confirmation, Automated Customer Service, Order Validation, Customer Onboarding, and NPS Feedback Agent.
• 100% Omnichannel Coverage: Seamless channel switching during conversations for the best user experience.
• Strict Compliance & Security: Compliant with GDPR and data security regulations. Data stored in France or the project's country, with private cloud or on-premise installation options.
• Non-Black Box Design: Goes beyond RAG with deep process automation and system integration, offering real-time observability and quality monitoring.

Typical Use Cases & Deployment Process

1. Kick-off & Scope Definition: Review business pain points, define the bot's contours, expectations, and personality.
2. Dialogue & Data Configuration: Configure business prompts, tasks, voice, and preferred LLM via the no-code dashboard; connect Word/PDF documents (RAG) or websites.
3. Alpha Tests: Used to train the assistant and the fine tuner.
4. API & Tool Connections: Connect the assistant to enterprise tools (MCP, APIs) to personalize dialogues.
5. Scaling: Launch beta tests with end-users to strengthen the assistant and scale up deployment, with accurate statistical monitoring and real-time conversation observation.

Pricing Information

Starting at 18 cents per minute. Offers Demonstrators and Pilots (TRY & BUY offer) ranging from €0 to €7K. Run costs depend on conversation/call volumes, duration, performance, and process complexity.

Frequently Asked Questions (FAQ)

• Can a single agent be created and connected to both phone and web? Yes, TALKR only designs omnichannel bots, making it easy to switch from one channel to another during a conversation.
• Can the agent handle complex calls? Yes, capable of handling complex calls using advanced AI and specific workflows, and transfers calls to a human agent if necessary during business hours.
• Is the platform no-code or low-code? The platform offers no-code access for businesses to manage agents without any technical knowledge.
• What type of AI is used? Uses all LLMs (e.g., Mistral/Gemini/Open AI/Llama/Deepseek) depending on the use case. It is not recommended to use LLMs with direct access to company databases or personal customer info unless specifically requested, but data can be anonymized. Other open-source LLMs and a proprietary semantic engine are developed to control token costs.