Toqan

The trusted AI assistant for organisations

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Description

Toqan is an advanced AI assistant designed to enhance productivity and efficiency within organizations. It provides a unified solution that leverages more than 20 large language models, enabling employees to spark new ideas, accelerate projects, automate a wide array of tasks, and gain company insights more rapidly. This allows teams to concentrate on work that matters most by streamlining daily operations.

The platform is built for accessibility and adaptability. Employees can personalize their interaction with Toqan, tailoring responses to their local language, saving preferred prompts, and incorporating details about their specific work and experiences. Furthermore, Toqan securely connects to an organization's internal data sources, such as databases and company policies, to deliver fast and relevant insights. It maintains enterprise-grade security, being SOC II and ISO 27001 certified and designed with the AI Act in mind, and ensures user data is never used for training third-party models. Access is flexible via web or Slack, supporting various team collaboration styles and providing insights into organizational AI usage.

Key Features

Multi-LLM Integration: Access over 20 powerful large language models through a single solution for diverse tasks.
Personalized AI Experience: Tailor responses by local language, saved prompts, and individual work context to boost user adoption.
Secure Company Data Connection: Integrate with internal databases, company policies, and other data sources for faster, relevant insights.
Enterprise-Grade Security & Privacy: SOC II and ISO 27001 certified, designed with the AI Act in mind, and guarantees user data is not used for training third-party models.
Flexible Access & Collaboration: Available on web and Slack to suit different team workflows and enhance collaboration.
Organizational Usage Insights: Provides detailed analytics on how generative AI is used across the organization, helping identify best practices and valuable use cases.

Use Cases

Data Analysis: Generating SQL code, analyzing datasets, and visualizing results for business intelligence.
Software Engineering: Debugging, generating, refactoring, and fixing code snippets for faster development cycles.
Customer Support: Transcribing customer calls, summarizing key issues, translating communications, and analyzing sentiment.
Legal Operations: Creating draft contracts, summarizing legal documents, and comparing different versions of briefs or clauses.
Sales Enablement: Assisting with content creation and data retrieval to support sales processes.
Marketing Assistance: Brainstorming campaign ideas, generating marketing copy, and analyzing market data.