Audyense·
Skip to content
Side-by-side record

Ashby vs. Google Vertex AI

A side-by-side view of the product records we have today. Use it to narrow the question, then confirm current pricing, limits, and security details with each vendor.

The short version

Google Vertex AI starts at Free per seat, versus Ashby at $400. Google Vertex AI carries the higher aggregate rating (9.6/5 vs 4.7/5).

Full comparison

Ashbyfrom $400 per month
Google Vertex AIfrom Free
Audyense Score80ASStrong29AS*Low
PositioningAll-in-one recruiting platform combining ATS, sourcing CRM, scheduling, and analyticsGoogle Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence.
Free tierNoYes
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-market, EnterpriseStartup, SMB, Mid-market
Pricing plans
  • Foundations (All-In-One for Startups)$400
  • Plus (All-In-One for Growth)Custom pricing
  • Enterprise (All-In-One for Enterprise)Custom pricing
  • Ashby Analytics (add-on)Custom pricing
  • Free or entry planFree
  • Higher tiersCustom pricing
Applicant tracking (ATS)YesCore product: full ATS with structured interview plans, automation, and approvals—
Benefits administrationNoRecruiting platform only; benefits handled by HRIS integrations—
Employee directory & org chartNoCandidate and job records only, not an employee system of record—
Mobile appNoNo dedicated mobile app advertised; reviewers say the mobile experience needs improvement—
Employee onboardingPartialHands off at hire via post-hire integrations (e.g. ADP, Aboard) rather than native onboarding—
PayrollNoIntegrates with payroll/HRIS tools like Gusto, Rippling, Deel, and ADP—
Performance reviewsNoTracks quality-of-hire outcomes but has no performance review module—
Public APIYesOpen API positioned as a first-class product (developers.ashbyhq.com), plus Zapier—
Reporting & dashboardsYesBI-level custom reporting and dashboards are the platform's headline strength—
Time-off & PTO managementNoNot an HRIS; no time-off features—
AutoML Capabilities—YesDocumented in the independently researched profile.
Custom Model Development—YesDocumented in the independently researched profile.
Pre-built Models—YesDocumented in the independently researched profile.
Model Deployment and Monitoring—YesDocumented in the independently researched profile.
Model Versioning and Management—YesDocumented in the independently researched profile.
Real-time Predictions—YesDocumented in the independently researched profile.
Custom Training Containers—YesDocumented in the independently researched profile.
Multi-Cloud Deployment—YesDocumented in the independently researched profile.
AI Explanations—YesDocumented in the independently researched profile.
Data Labeling Services Integration—YesDocumented in the independently researched profile.
Jupyter Notebooks—YesDocumented in the independently researched profile.
AI for Multiple Data Types—YesDocumented in the independently researched profile.
Model Hyperparameter Tuning—YesDocumented in the independently researched profile.
Custom Training Jobs.—YesDocumented in the independently researched profile.
Integrations verified250+—
Aggregate rating4.7 · 114 reviews9.6 · No reviews yet
Integrations
WorkdaySlackZapierLinkedIn RecruiterZoomGoogle Workspace+10 more
—
Security & compliance
SOC 2 Type IISOC 1 Type IIEU-US Data Privacy FrameworkSwiss-US Data Privacy Framework+1 more
—
Pros
  • Best-in-class recruiting analytics: detailed, customizable, BI-level reporting and dashboards are the most consistently praised capability across G2 and Capterra reviews
  • Intuitive, modern interface — ease of use is the top G2 pro theme, and Capterra reviewers call it one of the most complete ATS products they've used
  • Responsive customer support, the second most-cited G2 pro theme, with reviewers noting support quality continues well beyond onboarding
  • All-in-one consolidation of ATS, CRM, scheduling, and analytics with strong automation, reducing tool sprawl and context switching
  • Independent review documents a concrete business workflow
  • Documented capability: AutoML Capabilities
  • Documented capability: Custom Model Development
  • Documented capability: Pre-built Models
  • Documented capability: Model Deployment and Monitoring
Cons
  • Learning curve — the platform's depth and complexity is the most-cited G2 complaint, and onboarding is described as lengthy
  • Limited customization in some areas, a theme on both G2 and Capterra
  • Setup and implementation take considerable time before teams can use the full functionality
  • Mobile experience needs improvement, and reviewers report occasional reporting glitches at peak load
  • Pricing and usage limits should be checked against the exact plan
  • Implementation effort depends on the team's data and process maturity
  • Reported outcomes should be validated with the buyer's own data
Visit Ashby ↗Visit Google Vertex AI ↗

Editorial read of this comparison

The table summarizes structured facts; this section explains what the differences mean for a real buying decision.

Where each tool fits, and where it may not

Ashby

Ashby is an all-in-one recruiting platform that consolidates applicant tracking, CRM and sourcing, interview scheduling, and BI-level recruiting analytics into a single product with automation and AI assistance built in. It is aimed at ambitious startup and scale-up talent teams that would otherwise stitch together several point tools, and integrates with 250+ assessment, job board, sourcing, and post-hire products.

A particularly good fit for: Startups and high-growth tech companies that want ATS, sourcing CRM, scheduling, and analytics in one product instead of a multi-tool stack Data-driven talent teams that need BI-level recruiting reporting and pipeline forecasting without spreadsheets or a separate analytics tool Mid-market and enterprise TA teams consolidating point tools, especially those needing a deep bi-directional Workday/HRIS integration

May be a poor fit if: Teams looking for a full HR suite — Ashby is recruiting-only, with no payroll, benefits, time-off, or performance management Very small teams wanting a cheap, minimal ATS — pricing starts at $400/month and reviewers report a real learning curve and setup investment

Google Vertex AI

Google Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence. It’s designed to simplify and optimize the entire process of building and deploying machine learning models, making AI accessible to a broader range of users while also providing tools for experts to create customized solutions. This platform offers a unified environment where data preparation, model development, and model deployment are seamlessly integrated, offering a holistic approach to AI development. One of the standout features of Google Vertex AI is its AutoML capabilities. These tools cater to users with varying levels of expertise, allowing them to build AI models without the need for deep technical knowledge. Whether it’s image recognition, natural language processing, or structured data analysis, AutoML simplifies model creation, democratizing AI by empowering business professionals and data enthusiasts to harness its power. For those with more specialized needs, Google Vertex AI supports custom model development. It enables data scientists and machine learning engineers to work with popular deep learning frameworks such as TensorFlow and PyTorch, providing a high degree of flexibility to craft models tailored to specific use cases. This duality in approach, accommodating both novices and experts, makes Vertex AI an inclusive platform that can cater to diverse user profiles. Vertex AI’s seamless integration with other Google Cloud services is another noteworthy feature. This integration guarantees scalability and reliability, as organizations can tap into Google Cloud’s robust infrastructure, data storage, and analytics tools. As AI solutions grow in complexity and data volumes increase, this cohesive environment ensures that AI models can evolve to meet the demands of real-world application

A particularly good fit for: B2B teams evaluating HR and People software Teams that need documented workflow capabilities and fit guidance Organizations willing to validate implementation and plan limits

May be a poor fit if: Teams seeking a workflow outside the product's documented focus Teams needing unlimited usage without plan limits

Pricing and plan structure

Ashby: Published starting price $400 per month

  • Foundations (All-In-One for Startups)$400 per month
  • Plus (All-In-One for Growth)Custom pricing
  • Enterprise (All-In-One for Enterprise)Custom pricing
  • Ashby Analytics (add-on)Custom pricing

Google Vertex AI: Published starting price Free

  • Free or entry planFree
  • Higher tiersCustom pricing

Capabilities worth validating

  • Ashby: Applicant tracking (ATS), Employee onboarding, Public API, Reporting & dashboards Integrations include Workday, Slack, Zapier, LinkedIn Recruiter.
  • Google Vertex AI: AutoML Capabilities, Custom Model Development, Pre-built Models, Model Deployment and Monitoring, Model Versioning and Management

Questions to answer before switching

  • Does Ashby's selected plan include the features and limits we need?
  • Does Google Vertex AI's selected plan include the features and limits we need?
  • Does the exact integration path for Workday, Slack, Zapier support the sync direction, permissions, and volume we need?
  • Is a hosted-only deployment acceptable for the team and customers who will use this system?

How to evaluate this shortlist

A useful comparison turns the differences between HR & People tools into a concrete test. Use these steps to avoid choosing from a feature table or the lowest headline price alone.

  1. Start with a representative HR & People workflow, not a feature checklist. Define who will use it, what data goes in, and what outcome the team needs.
  2. Test the complete path through Workday, Slack, Zapier: permissions, sync direction, failure handling, and volume limits often matter more than the integration name.
  3. Compare the cost of the real scenario, including users, usage, storage, support, and contract requirements. The entry price alone does not measure adoption cost.
  4. Before switching, list the evidence gaps, request a demo of the critical workflow, and confirm security, data residency, export, and support with each vendor.

Structured signals help narrow the shortlist, but a trial with a real workflow is still the best way to validate the decision.

Research basis

Last checked: 2026-08-18. Pricing, integrations, feature support, and review signals can change, so treat this as a research snapshot and verify the final decision with the vendor.

Sources consulted: Ashby product site, G2, Capterra; Google Vertex AI product site, FinancesOnline review, Vendor website