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Side-by-side record

Google Vertex AI vs. Keka

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 Keka at ₹9,999. Google Vertex AI carries the higher aggregate rating (9.6/5 vs 4.5/5).

Full comparison

Google Vertex AIfrom Free
Kekafrom ₹9,999 per 100 employees/mo
Audyense Score29AS*Low77ASStrong
PositioningGoogle Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence.India-built HRMS unifying core HR, statutory payroll, attendance, performance, and hiring in one platform
Free tierYesNo
DeploymentCloud / SaaSCloud / SaaS
Best fitStartup, SMB, Mid-marketSMB, Mid-market
Pricing plans
  • Free or entry planFree
  • Higher tiersCustom pricing
  • Foundation₹9,999
  • Strength₹12,999
  • Growth₹15,999
AutoML CapabilitiesYesDocumented in the independently researched profile.—
Custom Model DevelopmentYesDocumented in the independently researched profile.—
Pre-built ModelsYesDocumented in the independently researched profile.—
Model Deployment and MonitoringYesDocumented in the independently researched profile.—
Model Versioning and ManagementYesDocumented in the independently researched profile.—
Real-time PredictionsYesDocumented in the independently researched profile.—
Custom Training ContainersYesDocumented in the independently researched profile.—
Multi-Cloud DeploymentYesDocumented in the independently researched profile.—
AI ExplanationsYesDocumented in the independently researched profile.—
Data Labeling Services IntegrationYesDocumented in the independently researched profile.—
Jupyter NotebooksYesDocumented in the independently researched profile.—
AI for Multiple Data TypesYesDocumented in the independently researched profile.—
Model Hyperparameter TuningYesDocumented in the independently researched profile.—
Custom Training Jobs.YesDocumented in the independently researched profile.—
Applicant tracking (ATS)—YesKeka Hire provides applicant tracking, available in higher packs or as an add-on.
Benefits administration—PartialCentered on Indian statutory benefits (PF, ESI) and insurance via partners; no US-style benefits enrollment.
Employee directory & org chart—YesCore HR module maintains a full employee database and directory.
Mobile app—YesiOS/Android apps with high self-service adoption, though reviewers note the app lacks web parity.
Employee onboarding—YesStructured employee onboarding workflows are included in core HR.
Payroll—YesCore strength: automated Indian payroll with PF, ESI, PT, and TDS compliance.
Performance reviews—YesPerformance module includes OKRs, goals, and 360-degree reviews in higher packs.
Public API—YesREST API is available for integrations.
Reporting & dashboards—YesReporting is included; advanced analytics and custom reports are reserved for the Growth pack.
Time-off & PTO management—YesLeave and attendance management is a core, well-reviewed capability.
Integrations verified—60+
Aggregate rating9.6 · No reviews yet4.5 · 1.8k reviews
Integrations—
SlackMicrosoft TeamsZoomQuickBooksTallyZoho Books+7 more
Security & compliance—
SOC 2ISO 27001GDPR
Pros
  • 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
  • Clean, modern, easy-to-use interface with high employee self-service adoption
  • Reliable Indian payroll and statutory compliance automation (PF, ESI, PT, TDS)
  • Integrated modules (HR, payroll, attendance, performance/OKRs, hiring) in one platform
  • Useful workflow integrations with Slack and Teams for approvals and notifications
Cons
  • 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
  • Customer support is largely email-ticket-based with limited weekend coverage and reported response delays
  • Mobile app lacks feature parity with the web platform and can lag on syncing
  • A minimum-seat/entry-pack model makes it comparatively expensive for very small startups
  • Multi-entity setups and some state-specific compliance can require manual admin effort
Visit Google Vertex AI ↗Visit Keka ↗

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

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

Keka

Keka is a cloud HRMS and payroll platform built primarily for the Indian market, covering core HR, leave and attendance, statutory payroll (PF, ESI, PT, TDS), performance management with OKRs, and hiring. It is known for a modern, employee-self-service-first interface and strong India compliance automation. Founded in 2015 and headquartered in Hyderabad, it is most commonly adopted by Indian SMBs and mid-market companies.

A particularly good fit for: Single-entity Indian SMBs and growing mid-market companies that want strong local payroll compliance Teams that prioritize a polished, easy-to-adopt employee self-service experience with high mobile adoption Companies replacing spreadsheets or fragmented HR and payroll tools with one integrated HRMS

May be a poor fit if: Large enterprises or complex multi-legal-entity operations, where multi-entity gaps add rework Companies outside India needing US-style benefits enrollment and administration

Pricing and plan structure

Google Vertex AI: Published starting price Free

  • Free or entry planFree
  • Higher tiersCustom pricing

Keka: Published starting price ₹9,999 per 100 employees/mo

  • Foundation₹9,999 per 100 employees/mo
  • Strength₹12,999 per 100 employees/mo
  • Growth₹15,999 per 100 employees/mo

Capabilities worth validating

  • Google Vertex AI: AutoML Capabilities, Custom Model Development, Pre-built Models, Model Deployment and Monitoring, Model Versioning and Management
  • Keka: Applicant tracking (ATS), Benefits administration, Employee directory & org chart, Mobile app, Employee onboarding Integrations include Slack, Microsoft Teams, Zoom, QuickBooks.

Questions to answer before switching

  • Does Google Vertex AI's selected plan include the features and limits we need?
  • Does Keka's selected plan include the features and limits we need?
  • Does the exact integration path for Slack, Microsoft Teams, Zoom 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 Slack, Microsoft Teams, Zoom: 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: Google Vertex AI product site, FinancesOnline review, Vendor website; Keka product site, G2, Capterra