Agentic Index
Regal vs SquadStack.ai (2026)
Regal and SquadStack both run high volume outbound and inbound calling with voice AI, in different operating models. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Regal is a platform a company runs itself: AI agents alongside a smart dialer, event driven journeys and a unified profile of each customer, sold to insurance, healthcare, financial services and education contact centers, with no published rates. SquadStack runs the program for the customer in India, with voice agents in nine Indian languages and human advisors on every engagement, billed per minute of AI conversation plus a one time setup fee per use case. On the grid Regal documents more: a full API, knowledge grounding, model choice, observability and security, where SquadStack is None or Partial; SquadStack is Full on deployment and data residency where Regal is None. Choose Regal to run AI inside your own center; choose SquadStack to hand the program to a managed team.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Regal and SquadStack.ai are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Regal if
- You run your own contact center and want AI agents inside its dialer and journeys.
- A unified profile of each customer should shape every call.
- Your team needs a full API and a detailed record of each call.
Choose SquadStack.ai if
- You want the calling program run for you, with human advisors and a success manager.
- Your customers speak Indian languages and switch between them mid sentence.
- Per minute billing with no seat or platform fees fits your budget model.
| Feature | R Regal |
S SquadStack.ai |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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RegalIntegrations & Tool Calling Agents run custom actions that call the customer's APIs, book through Cal.com, Google Calendar and Outlook, update the contact profile and send events. Integrations cover Salesforce, HubSpot, Zendesk, Microsoft Dynamics 365, Segment, Braze, Five9, Talkdesk, 8x8 and more than thirty others. SourceRegal, developer.regal.ai (Agent Actions, Custom Actions, integration guides)read 2026-09-28 |
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SquadStack.aiIntegrations & Tool Calling Two way CRM integrations connect Salesforce, Zoho, HubSpot and Meritto, alongside customer data platforms (WebEngage, MoEngage, CleverTap, Netcore), dialers (Exotel, Knowlarity, Ozonetel, Gupshup) and data stores (BigQuery, Redshift, S3), plus webhooks, so call outcomes are written back to the customer's systems. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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RegalWorkflow Orchestration Multi state agent prompts move a call through defined states, a branching action and action sequences chain steps, and drafts and versions govern changes. The Journey Builder sequences calls, texts and emails across channels on customer events. SourceRegal, developer.regal.ai (Multi State Agent Prompt, Branching Action, Action Sequences, Drafts and Versioning) and regal.ai/journey-builderread 2026-09-28 |
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SquadStack.aiWorkflow Orchestration Campaigns run as multi step journeys across call, WhatsApp, SMS and in app, sequenced by lead priority and timing, with voice AI agents and human advisors in one flow and warm transfers between them. SquadStack's team sets up the journeys, and the customer operates no builder. SourceSquadStack, squadstack.ai homepage and Humanoid AI Agent Stack pageread 2026-09-28 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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RegalTriggers & Channel Coverage Several kinds of events start the agents on their own. Triggered outbound calls fire on customer events sent to Regal, batch dialing works through contact lists, scheduled callbacks call back at a set time, inbound voice agents answer numbers and SIP transfers, and agents also run over SMS, chat and WebRTC. SourceRegal, developer.regal.ai (Triggered Outbound Calls, Batch Dialing, Schedule Callback, Deploy Inbound Voice Agent)read 2026-09-28 |
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SquadStack.aiTriggers & Channel Coverage Leads arriving from the customer's CRM, customer data platforms and webhooks are prioritized and called on a schedule without anyone at the customer placing each call, across call, WhatsApp, SMS and in app, and inbound support calls are answered as well. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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RegalKnowledge Grounding & RAG Knowledge bases take up to 300 URLs, 25 documents and 50 text snippets each and are chunked semantically into a vector database that Regal maintains. Websites are re scraped on a schedule the customer sets, and the knowledge base is queried before each response. Retrievals appear in transcripts as function calls, and knowledge base testing and a coverage gap dashboard sit beside them. SourceRegal, developer.regal.ai (Knowledge Base, Knowledge Base Testing, Post-Call Transcripts)read 2026-09-28 |
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SquadStack.aiKnowledge Grounding & RAG There is no knowledge base or retrieval over the customer's own documents. The agent draws on SquadStack's consumer graph and models trained on its own call data, which is SquadStack's data, not the customer's knowledge, and it carries context for each lead across calls. SourceSquadStack, squadstack.ai Conversational Superintelligence page and homepageread 2026-09-28 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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RegalMemory & State Persistence The unified contact profile merges attributes, events and conversation data per customer, and agents read it across calls to personalize each one and can update it through actions. That profile is the business's own customer record, and the agent keeps no separate memory of its own with a stated scope and lifetime. SourceRegal, developer.regal.ai (Intro to Regal Data Model, Update Contact Profile, Personalization)read 2026-09-28 |
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SquadStack.aiMemory & State Persistence Conversation memory persists across sessions and channels for each lead, so leads never repeat themselves. The scope is each lead, but SquadStack states no lifetime or delete path for that memory. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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RegalHuman Oversight & Guardrails The Transfer Call action and the Call Handoff API pass a call to a person with context, and the Unified Agent Desktop puts AI and human agents in one workspace. No action waits for a person's sign off before it commits. SourceRegal, developer.regal.ai (Transfer Call, Call Handoff API) and regal.airead 2026-09-28 |
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SquadStack.aiHuman Oversight & Guardrails Complex conversations warm transfer to a human advisor by design, locked compliance sections keep scripts from drifting, and a human layer audits sampled calls after the fact. No person approves an agent action before it commits. SourceSquadStack, squadstack.ai homepage and Humanoid AI Agent Stack pageread 2026-09-28 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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RegalSecurity, Identity & Governance Sign in supports SAML SSO through Okta and Azure as well as Google SSO, with Okta SCIM provisioning and brand scoped OAuth for the MCP server. Regal lists SOC 2, HIPAA, GDPR and CCPA, says LLM partners may not train on or store customer data, and runs a trust center at trust.regal.ai, but gives no SOC 2 report type or dates. SourceRegal, developer.regal.ai (Okta SSO, Okta SCIM, Azure SSO) and regal.airead 2026-09-28 |
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SquadStack.aiSecurity, Identity & Governance SquadStack is ISO/IEC 27001:2022 and ISO 27701 certified and SOC 2 Type II compliant, with the ISO certificate published and a trust center at trust.squadstack.ai. The Control Tower's compliance audit trail is a record of activity. There are no roles, SSO or other access controls, and the SOC 2 report, unlike the ISO certificate, is not published. SourceSquadStack, squadstack.ai homepage and trust.squadstack.airead 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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RegalObservability & Auditability Post call transcripts show each AI action, meaning each function call and its result, knowledge base queries and state transitions, in line with the conversation, and failed actions surface as call level warnings. Call observability metrics, transcript search and reporting webhooks sit beside them. SourceRegal, developer.regal.ai (Post-Call Transcripts, Call Observability Metrics)read 2026-09-28 |
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SquadStack.aiObservability & Auditability A call quality dashboard shows scores on 23 audit parameters for sampled calls, with filters by lead source, duration, disposition and transcript, beside conversion and drop off analytics and a compliance audit trail. There is no per call view of the actions the agent took in connected systems. SourceSquadStack, squadstack.ai Call Quality Analysis page and homepageread 2026-09-28 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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RegalDeployment & Data Residency Regal is hosted only, with no deployment or region choice. SIP and contact center connections, WebRTC and concurrency are supported, and SIP connects Regal to the customer's own telephony. There is no private cloud, self hosted or region option. Regal does not state where data is hosted. SourceRegal, developer.regal.ai (llms.txt, CCaaS / SIP Integration)read 2026-09-28 |
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SquadStack.aiDeployment & Data Residency All models run in India, with on premise and private cloud deployment available where sensitive workflows cannot leave the enterprise boundary. SquadStack does not say how the on premise and private cloud options are delivered and supported. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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RegalPrebuilt Agents, Templates & Packs Ready actions include store locator, zip code validation, pricing and inventory lookup and calendar booking, alongside a guide to planning a new agent use case, and Regal names vertical uses. The customer assembles these, and there is no catalog of adoptable prebuilt agents. SourceRegal, developer.regal.ai (Agent Actions, Planning a New AI Voice Agent Use Case)read 2026-09-28 |
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SquadStack.aiPrebuilt Agents, Templates & Packs Use case solutions for sales, hiring, loan and EMI collections and customer support, and industry pages for lending, insurance, brokerage and eight other sectors, are delivered as campaigns SquadStack configures for each customer. SquadStack publishes no named prebuilt agents or templates a customer adopts. SourceSquadStack, squadstack.ai homepage and pricing pageread 2026-09-28 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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RegalModel Flexibility & Routing The customer picks the LLM from several providers. Agent configuration offers OpenAI models (GPT-4o Mini by default, GPT-4.1 and GPT-5 variants), Anthropic Claude 3.5 Haiku, 3.7 Sonnet and 4.0 Sonnet, and Google Gemini 2.5 and 3 Flash, with an open weight model on request and bring your own LLM integrated through Regal. SourceRegal, developer.regal.ai (LLM Models)read 2026-09-28 |
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SquadStack.aiModel Flexibility & Routing SquadStack calls the platform model agnostic. It evaluates models continuously and routes per conversation and per turn to whichever performs, with its in house Sales LLM carrying most production traffic. SquadStack makes the routing choice, not the customer, and the other models are not named. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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RegalAPIs, SDKs & MCP Extensibility The API covers custom events, messages, campaigns, dispositions, users, call handoff and branded phone numbers, and the Regal MCP server at mcp.regal.ai, on OAuth 2.0 through Okta and scoped to the brand, lists tools that create, edit and publish agents, create test cases and manage branded numbers. Both work on Regal's own objects. SourceRegal, developer.regal.ai (API reference overview, Regal MCP)read 2026-09-28 |
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SquadStack.aiAPIs, SDKs & MCP Extensibility Webhooks, JSON APIs and third party connectors come under lead and workflow APIs, but SquadStack publishes no API reference, endpoint list or developer portal. SourceSquadStack, squadstack.ai homepage and sitemapread 2026-09-28 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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RegalTesting, Debugging & Optimization Simulation test cases define the simulated caller and success criteria, auto evaluate each run to pass or fail, and run individually or in bulk before go live and after changes, testing the customer's own agent. Agent variants A/B test live traffic, and knowledge base testing checks retrieval. SourceRegal, developer.regal.ai (Simulation Testing, Variants, Knowledge Base Testing)read 2026-09-28 |
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SquadStack.aiTesting, Debugging & Optimization The ROI Optimizer runs controlled experiments on the agent's voice, prompt, channel sequence and call timing against conversion, an optimization loop on the deployed agent. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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RegalBrowser & Computer Use There is no browser, desktop or computer control. The Press Digit action walks a phone menu by keypad, and the Chrome extension embeds the dialer in the browser for human reps. SourceRegal, developer.regal.ai (Press Digit, Google Chrome Extension)read 2026-09-28 |
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SquadStack.aiBrowser & Computer Use The agents work by phone, WhatsApp, SMS and in app voice and reach systems through integrations. There is no browser, desktop or computer control. SourceSquadStack, squadstack.ai homepageread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | R Regal |
S SquadStack.ai |
|---|---|---|
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Entry price Lowest public entry point |
Custom pricing through sales. No price is published. | Not public; per minute quote after a discovery call |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
— | Per minute of AI conversation, plus a one time setup fee per use case |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
No free tier
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No free tier
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Buying motion Self-serve vs sales call |
— | Sales call |
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