Neeva vs Agent 365

Detailed side-by-side comparison to help you choose the right tool

Neeva

AI Development Platforms

AI-powered QA agent that builds a living model of your product, writes tests in plain English, and self-heals when UI changes.

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Starting Price

Custom

Agent 365

AI Development Platforms

Microsoft Agent 365 is a control plane for managing, securing, and governing AI agents across an organization.

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Starting Price

Custom

Feature Comparison

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FeatureNeevaAgent 365
CategoryAI Development PlatformsAI Development Platforms
Pricing Plans10 tiers10 tiers
Starting Price
Key Features
  • Self-healing engine with long-term memory
  • Plain English test authoring
  • Product Digital Twin model
  • Agent registry and inventory
  • Microsoft Entra identity for agents
  • Zero Trust access controls

Neeva - Pros & Cons

Pros

  • Memory-based self-healing remembers why a test failed last time and applies the fix automatically, reducing repeat maintenance work compared to selector-retry approaches used by most of the testing tools in our directory
  • Plain-English test syntax (e.g., "User can complete checkout with saved card") removes the need for QA engineers to write or maintain selectors or scripts
  • AutoBoards translate raw test results into product-level KPIs like Quality Score, Release Risk, and Coverage Delta — useful for PMs and CTOs, not just QA leads
  • Product Digital Twin auto-detects new flows from pull requests (the vendor's landing page shows it suggesting 3 new test scenarios from a sample PR) and expands coverage without manual authoring
  • Correlates regressions to specific PRs (per marketing demo examples), shortening root-cause investigation
  • Positioned for fast-growing companies and trusted by multiple teams referenced on the landing page, though no named customer logos or third-party reviews are publicly visible to corroborate these claims

Cons

  • No public pricing — access is gated behind "Book a Demo" or "Request Access," making it impossible to evaluate cost without a sales conversation; based on category comparables, expect enterprise-tier pricing significantly above the $50–$150/month range offered by self-serve competitors
  • Enterprise-only positioning likely puts it out of reach for solo developers, indie hackers, and early-stage startups with no budget for premium QA tooling; no free tier, free trial, or freemium plan is documented
  • No published list of supported integrations, frameworks (Playwright, Cypress, Selenium), or CI/CD providers on the public site
  • Compliance posture (SOC-2, credential storage) is only referenced as FAQ topics without published documentation or trust-center links
  • Heavy reliance on the digital-twin model means teams with non-standard architectures (native mobile, complex desktop apps) may not see the same self-healing benefits as web SaaS products
  • Domain provenance concern: neeva.ai previously belonged to an unrelated AI search engine acquired by Snowflake in 2023; the current QA product has no disclosed connection to the former entity, and no third-party reviews, analyst coverage, or independent case studies were found to corroborate vendor claims

Agent 365 - Pros & Cons

Pros

  • Provides a single registry that catalogs every AI agent running across Copilot Studio, Azure AI Foundry, and third-party platforms in a Microsoft 365 tenant
  • Extends existing Microsoft Entra identity, Conditional Access, and Zero Trust policies to AI agents without requiring a separate identity stack
  • Native integration with Microsoft Purview means data loss prevention, sensitivity labels, and audit logs already cover agent activity from day one
  • Microsoft Defender coverage applies threat detection and response to agent behavior, addressing prompt injection and data exfiltration risks
  • Designed for the 400M+ Microsoft 365 commercial seats, so most enterprises can deploy without a net-new vendor procurement cycle
  • Backed by Microsoft's enterprise SLA, FedRAMP, and global compliance certifications already in place for the rest of the M365 stack

Cons

  • Enterprise-only licensing with no public pricing or self-serve tier — small teams and individual developers cannot evaluate it
  • Heavily optimized for Microsoft-built agents; governance depth for non-Microsoft agent frameworks (LangChain, CrewAI, custom Python agents) is more limited at launch
  • Requires existing investment in Microsoft Entra, Purview, and Defender to unlock the full governance value — standalone deployment offers diminished benefits
  • Newly announced in late 2025, so production references, third-party reviews, and long-term reliability data are still limited
  • Adds another administrative surface for IT teams to learn and operate alongside the existing M365 admin centers

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