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Reference edition 2026.46

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Stellafai vs CORINT AI

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

Stellafai compared with CORINT AI
DetailStellafai logo StellafaiCORINT AI logo CORINT AI
What it doesNot given Cognitive Risk Intelligence
StageNot given Not given
Founded2022 Not given
Based inNot given Not given
Pricing modelFreemium Not given
PricingExplore (Free): Create a branded exploration space, define goals and measurable signals, capture updates, decisions and evidence, experience lightweight outcome reporting, access onboarding guidance. Build: £25/month - Everything in Explore plus configure and refine your approach, visualize connecte Not given
Key features
  • Connected Outcomes: Visualize how outcomes, teams, activity and dependencies connect across an organization
  • Outcome Intelligence: Bring activity, progress signals and outcome evidence into one connected view
  • Star Chart: Visual map of how work, teams and goals connect to each other
  • Goal Management: Create, track and share goals, key metrics, methods and activities
  • AI-assisted coaching via Armstrong AI digital assistant
  • Methods, Guidance and Playbooks: Make proven methods and learning resources available within the work
  • Living History: Persistent record of decisions, updates, evidence and milestones
  • Embedded Enablement: Access to guidance and expert support when challenges arise
  • On-Demand Coaching: Access coaching from world-class Google and IBM alumni
  • Integration support: Connect CRM, analytics and automation tools
  • Unified RDL (Rule Definition Language) for features, rules, decisions, and orchestration
  • Sub-10ms latency decision execution with Rust runtime
  • HTTP/gRPC APIs for online risk decisions
  • Anomaly and risk analysis across decisions, users, transactions, and features
  • Rule and strategy generation with simulation and backtesting
  • Hot updates and versioned strategies
  • Optional WASM edge deployment
  • Audit trails and observability built-in
  • Role-aware explanations and audit-ready reasoning
  • Model evaluation, feature discovery, and threshold tuning
What makes it different
  • Persistent infrastructure that preserves context and decisions throughout transformation work, not just static plans or reports
  • Framework-agnostic approach that works with OKRs, custom methodologies or established transformation approaches rather than enforcing one model
  • Lightweight update rhythms designed for teams to actually maintain momentum between formal interventions
  • Outcome layer connecting delivery to measurable business change without replacing existing tools like Jira, Asana or OKR platforms
  • Combines software, expert enablement and learning as an integrated platform rather than tool alone
  • AI agent combined with production decision engine in closed-loop platform
  • Sub-10ms millisecond-level decision latency for high-stakes transactions
  • Open-source foundation with managed cloud path available
  • AI-native risk infrastructure moving from rules to continuous optimization
  • Support for multiple use cases: fintech, payments, e-commerce, and AI platforms
Community votes00
DR (Domain Rating by Ahrefs)17 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)90
Citation Flow (Majestic)2610
Referring domains (Majestic)711

2 details filled in for both companies.

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