Bloome is an AI-native group chat app where teams work side by side with multiple AI agents to ship real projects. It combines human conversations, agents like Claude, ChatGPT, and DeepSeek, and shared memory in a single workspace so research, reporting, coding, and content creation all stay in context. It targets startups and knowledge teams that want agents to act like teammates instead of isolated chatbots.
Key Features:
AI-native group chat: People and multiple named agents share one conversation, pushing back on each other until the answer holds up.
Multi-model workspace: Runs coding agents like Claude Code and Gemini CLI alongside models such as Claude Opus, GPT-5.5, Gemini 3 Pro, Grok, DeepSeek, Llama, and Qwen.
Agent Marketplace and Skill Marketplace: Dedicated sections for discovering reusable agents and skills that can be brought into your team environment.
Shared memory and artifacts: Every discussion, revision, and decision lives in a shared workspace where agents turn context into reports, dashboards, and campaign assets.
Enterprise-grade controls: Offers permission controls per tool and agent, sandboxed task execution, full audit trails, SOC 2 ready status, GDPR compliance, and data residency options.
Cross-platform apps: Available on macOS and Windows desktops plus iOS, Google Play, and a direct Android APK.
Pros
Multi-agent quality checks: Homepage examples show research and portfolio views cross-verified by multiple agents, reinforcing accuracy as a core design choice.
Fits real team conversations: Live-style transcripts for strategy, investing, product, and retail marketing show agents working inside everyday chat threads.
Stronger security posture than many early tools: Permission scoping, sandboxed execution, logging, and compliance claims will appeal to risk-aware organizations.
Model flexibility in one place: Teams can compare how different models and coding agents perform without bouncing between separate apps.
Cons
Opaque pricing: Bloome is promoted as free to try, but ongoing subscription tiers or seat pricing are not clearly documented.
Limited integration details: The homepage does not describe direct integrations with tools like Slack, Notion, or GitHub, so stack fit is uncertain.
Configuration depth unclear: Public materials say little about tuning agent behavior, approval flows, or safety policies, which larger teams may need.
Who is Using Bloome?
Strategy and research teams: Use multiple agents in one thread to assemble cross-checked market reports like the Southeast Asia SaaS deep dive example.
Investment and trading desks: Coordinate portfolio moves using agents that summarize markets, maintain risk boards, and fire alerts on key events.
Product and engineering squads: Discuss features such as a Team Analytics dashboard while agents help clarify requirements and summarize decisions.
Marketing and growth teams: Draft CEO updates, campaign plans, and social posts with several models contributing different tones and data views.
Founders and operators: Rely on agents as a staff-like layer to turn raw metrics and chats into structured weekly updates and action plans.
Uncommon Use Cases: Local retailers planning menus and promos with agents inside chat; solo consultants packaging multi-agent research into client-ready reports.
Pricing:
Free Credits: Includes a daily free credit balance and referral credits; invite friends and both receive $10 in credits after approval.
Top-Up Credits: One-time credit purchases via Stripe, with 1 USD equal to $1 of credits. Visible top-up options include $5, $10, $50, and custom amounts.
Discounted Top-Ups: Pay $100 to get $125 in credits, or pay $300 to get $428.57 in credits.
Model Pricing: Bloome gateway models are billed per 1M tokens, with separate input, cache read, and output rates. Visible examples include Claude Opus 4.8 at $5 input / $0.50 cache read / $25 output, Claude Sonnet 4.6 at $3 input / $0.30 cache read / $15 output, and Gemini 3 Flash at $0.50 input / $0.05 cache read / $3 output.
Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official Bloome website.
What Makes Bloome Unique?
Bloome stands out by treating AI agents as named teammates inside group chat, not background automations. Claude, ChatGPT, DeepSeek, and custom agents appear in the same threads as humans, argue with each other, and refine shared artifacts like research reports or portfolio boards until they are ready to ship. Combined with its Agent Marketplace and Skill Marketplace, it feels less like a single assistant and more like an emerging network of human-agent teams.
How We Rated It:
Accuracy and Reliability: 4.1/5
Ease of Use: 4.4/5
Functionality and Features: 4.2/5
Performance and Speed: 4.0/5
Customization and Flexibility: 4.2/5
Data Privacy and Security: 4.3/5
Support and Resources: 4.2/5
Cost-Efficiency: 4.2/5
Integration Capabilities: 3.9/5
Overall Score: 4.3/5
Group Chat For Humans And Agents:
Bloome will appeal most to teams that already live in chat and want AI to join the room as multiple specialists instead of a single bot. It is still early, with open questions around pricing, integrations, and configuration depth, but the core idea of cross-checking agents inside a shared workspace is strong. Teams exploring multi-agent workflows and AI-native collaboration should trial it while watching how the marketplace and admin controls mature.
