Skip to content
SlateIndex
H2O.aiThe Trusted Sovereign AI Platform
vs
OutSystemsYour AI development platform built for the enterprise
Comparison · AI Agents · weekly run Nov 3

H2O.ai vs OutSystems

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

OutSystems is the stronger AI pick in AI Agents: it has a visibility score of 2.8 versus 0.4 for H2O.ai.

Choose H2O.ai if…

  • You need FedRAMP High coverage
  • Explainable, open-source-driven predictive and agentic tooling
  • Go-to platform for automated machine learning (AutoML)
  • Robust enterprise modeling and rapid deployment

Choose OutSystems if…

  • You want the brand AI engines rank higher (2.8 vs 0.4)
  • AI answers describe it more positively (42% vs 29% positive)
  • You need a self-hosted or on-premises option
  • You need ISO 27001 or ISO 22301 or FedRAMP Authorized or PCI DSS or GDPR or ENS (Spain) or ACN (Italy) or DESC (UAE) coverage

AI visibility side by side

Latest weekly run · Nov 3

Metric H2O.ai OutSystems
Visibility score0.4%2.8%
Change vs last weekNewNew
Rank in AI Agents#70#32
Share of voice0.2%0.8%
Mentions this run15
Positive in AI answers29%42%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3H2O.ai 0%

H2O.ai 0pp · OutSystems 0pp over 0 weekly runs.

Engine by engine

OutSystems leads on 2 of 3 engines

ChatGPT
0%
0%
AI Mode
1.1%
0%
Perplexity
0%
8.5%
H2O.aiOutSystems

Head to head in AI answers

0 engine answers name both brands

0H2O.ai ranked higher
0OutSystems ranked higher

Features, pricing & fit

DimensionH2O.aiOutSystems
Pricing model—Flat tiers
Entry price—Contact sales
Free plan—Yes
DeploymentOn-premises, fully air-gapped, private cloud, or public cloudCloud, hybrid and sovereign cloud deployment, with a self-hosted on-premises option in certain plans
Integrations—400+
ComplianceSOC 2 Type II, HIPAA, FedRAMP HighSOC 2 Type II, ISO 27001, ISO 22301, FedRAMP Authorized, HIPAA, PCI DSS, GDPR, ENS (Spain), ACN (Italy), DESC (UAE)
SupportForward Deployed Engineers embedded on-site—
Founded20122001
HeadquartersMountain View, California, United StatesBoston, Massachusetts, United States
Employees201–5001,001–5,000
FundingSeries E · $250M raisedSeries F, led by KKR
Best forRegulated enterprises and public-sector agencies that need predictive, generative and agentic AI on their own infrastructure, including air-gapped deployments.Regulated enterprises that need to modernize legacy systems and run custom apps and agents they can trust

Plans side by side

H2O.ai

Pricing not available.

OutSystems

OutSystems Personal Edition$0
OutSystems Agentic Systems PlatformCustomcustom quote
OutSystems pricing

Pros and cons

Themes from the AI answers that mention each brand

H2O.ai

  • Explainable, open-source-driven predictive and agentic tooling
  • Go-to platform for automated machine learning (AutoML)
  • Robust enterprise modeling and rapid deployment
  • Listed among enterprise end-to-end MLOps platforms

    OutSystems

    • Enterprise-grade scalability for complex, mission-critical applications
    • High performance and speed in app delivery
    • Strong analyst rankings as an enterprise low-code leader
    • Full-stack web and mobile app development with omnichannel reach
    • Modernizing legacy systems and deep integrations
    • Quote-based, opaque enterprise pricing
    • High cost for enterprise tiers

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “H2O.ai vs OutSystems”, https://slateindex.ai/compare/h2o-ai-vs-outsystems, data of Nov 3, 2026. Licence: CC BY 4.0.