Jun 13, 2025

StackAI vs Kore.Ai

StackAI vs Kore.Ai

When selecting an enterprise GenAI platform, organizations face a choice between a flexible, open-ended builder and a comprehensive, all-in-one suite. Both approaches promise to deliver AI-powered automation, but they cater to different needs, users, and use cases.

StackAI is a no-code/low-code AI orchestration platform that empowers business teams to build custom AI agents and workflows from the ground up. In contrast, Kore.ai offers a broad "Agent Platform" with specialized solutions for customer service, employee experience, and process automation, complete with pre-built agents and extensive governance tools. This comparison breaks down their different philosophies to help you decide which is the right fit for your enterprise.

Side-by-Side Comparison: StackAI vs. Kore.ai

Feature / Philosophy

StackAI

Kore.ai

Core Offering

No-code AI workflow builder

All-in-one enterprise agent platform

Primary Focus

Custom back-office automation & knowledge tasks

Conversational AI for customer service & employees

Target User

Business users (ops, finance, compliance)

Enterprise IT, CX leaders, developers

Building Method

Visual drag-and-drop canvas

No-code/pro-code conversation & workflow builders

Deployment Interfaces

✅ 10+ formats: forms, batch, chat, API

✅ Chat, voice, and agent desktops

On-Premise Deployment

✅ Yes

✅ Yes (Runs in customer's cloud)

Pre-built Solutions

❌ Focus on templates for custom builds

✅ Marketplace of industry/function-specific agents

Security Certifications

SOC 2 Type II, HIPAA, GDPR

SOC 2, HIPAA, GDPR, ISO 27001

Core Approach: Flexible Builder vs. All-in-One Suite

The core difference between StackAI and Kore.ai lies in their product philosophy.

StackAI: The No-Code AI Builder

StackAI gives users a powerful visual builder with drag-and-drop functionality. It’s made to connect LLMs, data sources (like SharePoint or Salesforce), and business logic blocks in a customizable way. The platform is perfect for organizations that want to build their own tools for specific needs like invoice processing, compliance review, or internal document workflows.

It’s ideal for businesses with unique internal processes and the desire to own their AI capabilities without needing deep technical skills.

Kore.ai: The Comprehensive Agent Platform

Kore.ai is designed to be an end-to-end AI ecosystem. Its product is segmented into:

  • AI for Service: Virtual assistants for customer support, agent desktops, and quality monitoring

  • AI for Work: Bots for HR, IT support, and enterprise-wide search

  • AI for Process: Process automation for backend operations

Kore.ai brings together pre-built agents, advanced tooling for developers (like Prompt Studio), and multi-agent orchestration. Its strength lies in governance, breadth, and scale.

Ease of Use and Target Audience

Each platform aligns with different users.

StackAI is designed for business users.
The intuitive visual interface lets operations, finance, and compliance teams build tools on their own. Whether it’s a contract analyzer or a document summarizer, users don’t need to write code to launch production-ready AI agents.

Kore.ai is designed for enterprise technology teams.
While it includes no-code tools, the full value of Kore.ai is unlocked by developers, AI specialists, and dedicated CoE teams. Its breadth of features, governance models, and integrations typically require technical management.

Deployment and Use Cases

Kore.ai deployment

Kore.ai: Optimized for Conversational AI

Kore.ai excels in building sophisticated chat and voice agents. It’s often used in contact centers for handling multi-turn conversations and supporting agents with real-time prompts.

Example use case:
A global bank deploys Kore.ai’s chatbot across web and mobile. It handles customer authentication, executes transactions, and transitions to a human agent when needed—all while offering real-time support via Kore.ai’s agent desktop.

StackAI delpoyment

StackAI: Flexible Deployment for Any Workflow

StackAI supports over 10 interface types for deployment, including:

  • Forms (simple and advanced)

  • Batch processing (for large data jobs)

  • Internal or public-facing chatbots

  • Chrome extensions

  • REST APIs for developers

It’s excellent for silent or semi-automated processes—not just chat.

Example use case:
A law firm uploads hundreds of legal documents into a batch interface built with StackAI. The agent scans them for specific clauses and generates a compliance report, cutting down hours of manual review.

Enterprise Readiness and Security

Kore.ai offers a strong security posture with SOC 2, HIPAA, GDPR, and ISO 27001 certifications. It runs in the customer’s own cloud (AWS, Azure, GCP) and serves major banks, insurers, and healthcare providers.

StackAI is SOC 2 Type II, HIPAA, and GDPR compliant, and offers a full on-premise deployment. This means the entire AI system can run in the organization’s private cloud or even in an air-gapped environment—ideal for high-security industries like defense, finance, or healthcare. StackAI is also fully US-owned and operated.

Final Verdict: Which GenAI Platform is Right for You?

Choosing between StackAI and Kore.ai depends on your enterprise’s priorities.

Choose Kore.ai if:

You want to transform customer service or employee experience using conversational AI. You value a full suite of pre-built agents and advanced tools, and you have the technical infrastructure (and team) to manage it at scale.

Choose StackAI if:

You want to empower business teams to build and deploy their own AI workflows—quickly, securely, and without needing a developer. You prioritize back-office automation, flexibility in deployment, and strong on-premise options for data control.

For companies looking to scale enterprise AI adoption by unlocking internal innovation, StackAI offers the powerful, secure, and intuitive platform to build exactly what your team needs.

👉 Request a demo today to see how StackAI can help your enterprise build and scale custom AI tools.

Paul Omenaca

Customer Success at Stack AI

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