Bearly AI is a comprehensive AI chat platform built around privacy, giving professionals and teams access to the most capable language models without compromising on data security. The platform integrates models from OpenAI, Anthropic, Gemini, Grok, Meta Llama, and Mistral, and routes all queries through anonymization layers so that third-party providers cannot link requests back to user identities.
The platform offers a full suite of AI capabilities in a single environment, including smart agents for research and data analysis, a collaborative canvas for real-time brainstorming, a secure code interpreter, interactive artifact creation, multimodal features such as image generation, transcription, speech-to-text, and text-to-speech, and an advanced memory system that builds a persistent knowledge base from past interactions.
Enterprise and team customers benefit from granular user management, SSO and SAML integration, custom branding and white-label deployment, shared workflow templates, an integrations marketplace, and flexible infrastructure options including self-hosted or managed deployments. Usage analytics, budget controls, and a dedicated support team are included at the enterprise tier.
Bearly operates on a zero-advertising model and uses ephemeral session keys for all encrypted conversations, files, and memories. The platform supports self-managed encryption keys as well as Bearly-managed key handling, giving organizations full control over their data pipeline beyond the underlying AI models.
- Conducting private AI-assisted research without exposing queries to third-party providers
- Running secure code interpretation and testing inside an isolated environment
- Generating and iterating on interactive dashboards and analytics artifacts collaboratively
- Transcribing audio recordings and converting text to speech within a unified AI workspace
- Deploying AI agents specialized for in-depth research and decision support workflows
- Brainstorming and co-editing documents in real time on a collaborative canvas
- Managing team AI usage budgets and monitoring spend with detailed reporting tools
- Integrating internal enterprise databases and tools directly into a custom AI chat environment
- White-labeling the AI platform with custom branding and domain for enterprise clients
- Building and sharing standardized prompt templates and automations across a business team
- Accessing multiple frontier AI models from one interface with a single subscription
- Ensuring compliance with SOC 2, GDPR, and CCPA requirements for regulated industry workflows

