FDM-1 vs Blue Prism

Detailed side-by-side comparison to help you choose the right tool

FDM-1

AI Development Assistants

Foundation model for computer use trained on 11-million-hour video dataset that can perform complex computer actions like CAD modeling, website navigation, and real-world tasks at 30 FPS.

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Starting Price

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Blue Prism

Business AI Solutions

Agentic automation company specializing in AI-powered robotic process automation (RPA) and business process management solutions.

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Starting Price

Custom

Feature Comparison

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FeatureFDM-1Blue Prism
CategoryAI Development AssistantsBusiness AI Solutions
Pricing Plans56 tiers31 tiers
Starting Price
Key Features
  • 11-million-hour video training dataset
  • 30 FPS native video inference
  • Video encoder compressing ~2 hours into 1M tokens
  • Visual drag-and-drop process designer for building automations without coding
  • Centralized control room for managing and monitoring digital workers at scale
  • Digital Exchange (DX) marketplace with pre-built automations and AI skills

FDM-1 - Pros & Cons

Pros

  • First computer-use foundation model trained on internet-scale video (11M hours), versus the largest open computer-use dataset of under 20 hours of 30 FPS video
  • Native 30 FPS video processing enables continuous control like smooth mouse movement and CAD operations rather than discrete screenshot-by-screenshot reasoning
  • Highly efficient video encoder compresses nearly 2 hours of footage into just 1M tokens, unlocking minute-scale context windows
  • Unsupervised training via the inverse dynamics model removes the bottleneck of expensive contractor-labeled screenshots
  • Test-time compute via OS checkpoints / forking VMs lets the model retry from validated intermediate states on long-horizon tasks
  • Demonstrably general — the same model performs CAD modeling, website fuzzing, and real-world driving without task-specific RL environments

Cons

  • No public API, pricing page, or self-serve access — gated to enterprise and research partners
  • Capabilities are demonstrated through curated video clips rather than peer-reviewed benchmarks against established computer-use leaderboards
  • Released February 23, 2026, so production track record, reliability, and safety guardrails are unproven at scale
  • Inference at 30 FPS on minute-long video contexts implies significant GPU cost not disclosed publicly
  • No documentation of supported operating systems, integrations, or developer tooling beyond the research blog post

Blue Prism - Pros & Cons

Pros

  • Mature, battle-tested RPA engine with a strong track record in highly regulated industries such as banking, insurance, and government, where auditability and compliance matter more than speed of prototyping
  • Centralized Control Room architecture provides enterprise-grade governance: role-based access, encrypted credential vault, full audit logs, and clear separation between design, runtime, and orchestration
  • Genuine no-code Process Studio means business analysts and operations staff can build and maintain automations without writing code, while still producing reusable, version-controlled objects
  • Flexible deployment options including SS&C-managed cloud, customer-managed cloud, and full on-premises installs — important for customers with data residency or air-gapped requirements
  • Strong agentic and AI capabilities in the 2025–2026 generation, including Blue Prism Chat, Copilot, Decipher IDP, and Process Intelligence, layered on top of the existing RPA foundation
  • Backing of SS&C Technologies provides financial stability, deep financial-services domain expertise, and integration with SS&C's broader fintech and healthcare product portfolio

Cons

  • Pricing is enterprise-only with custom quotes and no free or community edition, which makes it impractical for small teams, individual developers, or proof-of-concept work without a sales engagement
  • Steeper learning curve than UiPath or Power Automate — building production-grade Blue Prism processes typically requires formal training and a Center of Excellence model rather than ad-hoc citizen development
  • Smaller developer community and marketplace of pre-built connectors and components compared to UiPath, so more integrations have to be built in-house
  • Historically heavier, server-based architecture means initial setup and infrastructure planning are more involved than cloud-native competitors, even with the newer SS&C-managed cloud offering
  • Branding and product naming have shifted repeatedly since the SS&C acquisition (Blue Prism, SS&C Blue Prism, Chorus, Next Generation), which can make documentation, licensing, and roadmap conversations confusing for buyers

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