Anam.ai

Builds real-time AI avatars that talk, listen, and perform actions conversationally.

Anam AI is a real-time interactive avatar platform designed to give AI agents a visual, conversational presence. Instead of limiting an AI agent to text or voice, Anam turns it into a live digital persona that can see, listen, speak, and respond through video. Its platform combines an avatar’s face, voice, LLM, and system prompt into a persona that can hold real-time conversations with users.

Anam supports photorealistic avatars with natural motion, micro-expressions, expression controls, and image-to-avatar creation. Users can select avatars from its library, upload their own images, or create custom avatars. The platform also offers more than 70 languages and voices, making it suitable for multilingual customer-facing experiences.

The platform is particularly focused on interactive business agents, with use cases including customer support, sales and lead qualification, language tutoring, skill training, and medical front-desk assistance. Developers can integrate Anam through its JavaScript and Python SDKs, while businesses can use its widget and no-code platform.

Anam also supports tool calling, knowledge-base retrieval, runtime configurability, multiple LLM options, multiregion deployment, model versioning, and enterprise-oriented security controls. Its current flagship avatar model is CARA-4.

Analytics Model

Analyze business performance using AI-powered forecasting and predictive analytics tools efficiently.

Analytics Model is an AI-driven analytics platform designed to help organizations explore data and generate insights through natural-language interactions. Instead of requiring users to manually write SQL queries or build every visualization from scratch, the platform allows them to ask questions about their data in plain language and receive insights, charts, and visualizations. Analytics Model supports connections to more than 500 data sources, bringing databases, analytics systems, marketing platforms, and cloud services into a unified analytics environment.

The platform supports customizable visualizations, interactive dashboards, smart alerts, and embedded analytics. Users can create alerts based on custom data conditions and receive notifications when important thresholds or events occur. Analytics Model also offers an API that can generate dashboards and visualizations from free-text prompts, retrieve metadata, and support real-time and batch data processing.

Its use cases include sales analysis, marketing performance tracking, customer journey analysis, SEO monitoring, cohort analysis, and other KPI-focused business analytics. The platform is aimed at business leaders, analysts, product teams, marketing teams, and developers who want faster access to data-driven insights.