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Telos vs Lyrio

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

Telos compared with Lyrio
DetailTelos logo TelosLyrio logo Lyrio
What it doesA cloud platform to build, run, and evolve software from declarative goals AI workspace where research branches freely and context persists across sessions
StageMVP Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Freemium
PricingStarter: $0/mo + usage-based billing with one-time $50 usage credit (limited availability). Pro: $99/workspace/mo + usage-based billing. Enterprise: Custom pricing. Usage-based billing covers managed inference, compute, and storage. Inference options include telos/default (balanced), telos/max (fron Starter (Free): Maximum of 10 threads per chat, pin up to 10 messages in each chat, upload 1 file per day, upload up to 5 images per day, 30 messages per day. Premium ($15/month): Unlimited threads, unlimited pins, upload up to 10 files per day, upload up to 10 images per day, unlimited messages on
Key features
  • Persistent goal specifications as source of truth
  • Code treated as invisible compiled artifacts
  • Multiple inference provider options
  • Goal versioning and tracking
  • Role-based access control in Pro plan
  • Snapshots and rollbacks for Pro plan
  • Independent verifier agent checks implementation against goals
  • Threaded conversations with parallel branching
  • Pin key insights and messages
  • Canvas document editor
  • Multiple AI model selection
  • Folder organization
  • File and image uploads
  • Export research as structured documents
What makes it different
  • Declarative goal-first approach eliminates the need to read and maintain generated code
  • Collapses development, testing, and production into one unified environment
  • Enables tailor-made software with the simplicity of managed services
  • Goal persists as requirements change with independent verification
  • Preserves context across sessions instead of losing information as context windows fill
  • Organizes research into branches and threads without losing focus or context
  • Converts research directly into structured documents through Canvas
  • Supports multiple AI models with context maintained across switches
  • Treats unresolved questions as valuable knowledge to preserve and search
Community votes00
DR (Domain Rating by Ahrefs)4 no change since last check2 no change since last check
Trust Flow (Majestic)24
Citation Flow (Majestic)2218
Referring domains (Majestic)4229

5 details filled in for both companies.

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