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FynoLabs vs Obsilient

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

FynoLabs compared with Obsilient
DetailFynoLabs logo FynoLabsObsilient logo Obsilient
What it doesManaged AI trainers, LLM evaluators and benchmark authors for AI labs and data partners Reliability monitoring for autonomous agent systems
StageNot given Not given
FoundedNot given Not given
Based inIN Not given
Pricing modelContact for pricing Paid
PricingNot given Fixed-fee pilot of about a month credited against the first year if continuing. Annual subscription after pilot in three tiers: Map, Gate, or Continuous.
Key features
  • Coding-agent benchmarks in Terminal-Bench and SWE-bench style
  • Research reproduction in PaperBench style
  • Model evaluation and RLHF with preference ranking
  • Long-horizon agent tasks with planning and tool use
  • STEM and expert reasoning questions at PhD level
  • Trial task scoring before work begins
  • Peer review on every item
  • Senior reviewer calibration on each batch
  • Product design and full-stack development for SaaS and AI
  • LLM assistants and voice AI integration
  • Detects agents built but never connected
  • Identifies work that silently stops between agents
  • Catches judges that grade incorrectly
  • Prevents changes shipping past broken tests
  • Detects identity and data drift
  • Measures self-repair behavior
  • Works with any model and framework
  • Read-only connector with no system changes
  • Deployment pipeline gate with pass/fail status
  • Encrypted data transmission and on-premises options
What makes it different
  • One programme lead and point of contact instead of managing hundreds of individual profiles
  • Scored trial on your rubric for every expert, not just CV and quiz screens
  • Second review on every item plus senior calibration, not just spot checks
  • Published quality numbers: 2,500+ tasks authored, 90% acceptance rate, 4.89/5 rating
  • Pilot staffing in days with 5 to 10 experts
  • Finds failures that never raise an alarm
  • Built and proven on real production systems, not theory
  • Read-only connector never changes your system
  • Works with any model without depending on model vendor
  • First findings within a week of pilot start
Community votes00
DR (Domain Rating by Ahrefs)2 −3 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)10

4 details filled in for both companies.

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