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Ficelle vs Continuous Intelligence

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Ficelle compared with Continuous Intelligence
DetailFicelle logo FicelleContinuous Intelligence logo Continuous Intelligence
What it doesOpenAI-compatible router that puts free LLM models from 13 providers behind one endpoint with automatic failover Stream-native AI for real-world time series data
StageNot given Startup
FoundedNot given 2026
Based inFR GB
Pricing modelFreemium Not given
PricingFree: open core under BSL 1.1, no account or card required. Pro: 12 € monthly (or 9.08 € per month billed annually at 109 €/yr), or 199 € for Lifetime license (one payment, no renewals, limited to first 200). 14-day free trial for Pro requires a card. Not given
Key features
  • Automatic failover across 13 free LLM providers
  • OpenAI-compatible API endpoint
  • Model capability testing for tools, JSON and vision
  • Hardcoded zero paid model fallback
  • Local router with keys staying on your machine
  • Model fusion and answer synthesis in Pro
  • Custom virtual model profiles in Pro
  • Native prompt compression to reduce tokens
  • Automatic model cooling and recovery probing
  • Support for Cursor, Continue, Open WebUI, LangChain and Claude Code
  • Anomaly detection and correlation discovery across multiple data streams
  • Real-time data stream monitoring to flag potential problems
  • Forecasting by understanding interactions between data streams
  • Natural language querying with context and assumptions
  • ci-proto frontier model with improved forecasting accuracy
What makes it different
  • Structured inability to spend money on paid models, enforced in code not configuration
  • No middleman: keys stay local, prompts go directly to providers
  • Benchmarked quality parity with gpt-5 for classification, extraction and reasoning
  • Millisecond failover when a model rate-limits or fails
  • Stream-native architecture designed specifically for time series data
  • Foundation models that eliminate context window limitations
  • Continuous-time machine learning approach
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check2 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)1212
Referring domains (Majestic)11

4 details filled in for both companies.

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