Resemble AI vs Flowise

Tagline

Complete Generative AI Security: Detect, Verify & Generate with Voice AI

Open source generative AI development platform for building AI agents, LLM orchestration, and more

Category

Pricing

Rating

Platforms

API

Open source

Description

Resemble AI is an enterprise generative AI security platform. It provides real-time deepfake detection for audio, video, and images, as well as multimedia watermarking, audio identity verification, secure voice cloning, and advanced text-to-speech. Built on proprietary models engineered for AI security, Resemble AI protects intellectual property and trains teams to prevent sophisticated vishing and social engineering attacks.

Flowise is an open-source agentic systems development platform that provides modular building blocks to construct diverse agentic systems, from simple compositional workflows to autonomous agents. It supports multi-agent orchestration, single-agent systems, tool calling, and RAG retrieval, deployable on both cloud and on-premises environments.

Key features

• Real-time deepfake detection for audio, video, and images
• High-accuracy voice cloning from 10-second samples
• Speech-to-Speech voice conversion with pacing preservation
• Audio Identity enrollment with 4 seconds of audio
• Imperceptible multimodal watermarking for IP protection
• Audio editing and enhancement via API endpoints
• Security awareness training with realistic vishing simulations
• Automated detection bots for major virtual meeting platforms
• Open-source text-to-speech option (Chatterbox)
• Support for EU AI Act Article 50 compliance watermarking

• Visual workflow builder
• Multi-agent system orchestration
• Single-agent systems and chatbots
• Tool calling and knowledge retrieval (RAG)
• Human-in-the-loop task review
• Full execution traces
• Prometheus and OpenTelemetry observability support
• API, SDK, and Embedded Chat integration
• Cloud and on-premises deployment support
• Apache 2.0 licensed codebase

Pros

• Enables high-accuracy voice cloning from as little as a 10-second audio sample.
• Integrates an automated bot to monitor and detect deepfakes in real time on Zoom, Teams, Meet, and Webex.
• Provides multi-platform deployment choices including cloud, on-premises, and air-gapped options.
• Features an open-source model option for high-quality text-to-speech.
• Verifies audio identity in real time with speaker validation from just 4 seconds of audio.
• Uses metadata-free watermarking that survives re-encoding, format changes, and compression.
• Offers audio editing via API, allowing content correction and enhancement without re-recording.
• Delivers explanatory verdicts alongside deepfake detection flags for clearer auditing.

• Open source code remains available on GitHub under the Apache 2.0 license, allowing users to fork and continue development.
• Enables visual building of AI agents and workflows using modular building blocks.
• Supports building multi-agent systems with workflow orchestration distributed across multiple coordinated agents.
• Supports building single-agent systems and chatbots with tool calling and knowledge retrieval (RAG) from various data sources.
• Features built-in support for human-in-the-loop feedback loops, allowing users to review tasks performed by agents.
• Provides full execution traces with native support for observability tools like Prometheus and OpenTelemetry.
• Easily integrates into existing applications using APIs, SDKs, and Embedded Chat.
• Supports flexible deployment on both cloud and on-premises environments.
• Offers an affiliate program with a 20% commission for 12 months and a 60-day attribution window.

Cons

• Exact pricing details, tiers, and subscription fees are not publicly disclosed on the pricing page.
• The full-featured PerTh Multimodal watermarking model is restricted to enterprise customers, while only the original PerTh model is open source.
• No dedicated mobile applications (such as iOS or Android apps) are mentioned in the provided text.
• No specific compliance certifications (such as SOC2, ISO, or HIPAA) are listed on the provided pages.
• Detailed API endpoint documentation and integration code samples are not directly accessible on the main product pages.

• Flowise is winding down its corporate operations as the market shifts toward coding agents over rigid low-code workflows.
• Rigid low-code workflow approaches hit their complexity limit when dealing with complex reasoning tasks.
• Specific pricing figures for the Starter, Pro, and Enterprise subscription tiers are not listed on the website.
• No dedicated native mobile applications for iOS or Android are mentioned in the provided documentation.
• The Terms of Service do not guarantee uninterrupted or bug-free operation of the hosted cloud platform.
• No official security or compliance certifications (such as SOC2 or ISO 27001) are referenced in the provided text.

Pricing plans

• FreeUSD0/month
  • • 2 Flows & Assistants
  • • 100 Predictions / month
  • • 5MB Storage
  • • Evaluations & Metrics
• StarterUSD35/month
  • • Everything in Free
  • • Unlimited Flows & Assistants
  • • 10,000 Predictions / month
  • • 1GB Storage
• ProUSD65/month
  • • Everything in Starter
  • • 50,000 Predictions / month
  • • 10GB Storage
  • • Unlimited Workspaces
• Enterprise—

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