Alternatives to Horizontal Cloud AI Services - Early August 2026

Observed AI agent platform alternative coverage for buyers using weekly prompt-based data from FreshNews.ai Observatory.

Alternatives to Horizontal Cloud AI Services — AI Visibility Comparison
Comparison Signal

Ada (11% coverage) and Cognigy (9% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for early August 2026.

  • Top tools by AI Visibility (Week of early August 2026):
  • Dhisana: coverage not provided
  • Ada: 11% coverage
  • Cognigy: 9% coverage
  • LivePerson: coverage not provided
  • Boost: coverage not provided
  • Kore: 9% coverage

Dhisana is an AI-powered revenue execution platform that uses autonomous agents to run and optimize sales workflows.

FreshNews.ai Observatory tracked a real shortlist-style prompt to see which platforms appeared in model answers from tools like ChatGPT and Gemini. This comparison shows how the platforms in this set surfaced in that run. Buyers are weighing Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore as alternatives to horizontal cloud AI services for ready-to-use business agents, deciding which mix of automation depth, domain focus, and deployment control best fits their revenue and service workflows.

Why This Comparison Matters

When teams look beyond horizontal cloud AI, the tradeoffs between Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore determine how quickly they can stand up production-ready agents without heavy in-house AI engineering. Some platforms lean less on generic tooling and more on pre-configured journeys, while others emphasize extensibility and integration breadth. Understanding these directions helps buyers match their own maturity, compliance posture, and use-case scope to the right agent platform.

Platform Comparison

Platforms evaluated in this comparison for AI agent platform include: Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore.

The table below reports metrics for the stated data period. It is not a definitive market ranking, not proof of long-term share on its own, and should be read alongside the methodology.

PlatformCoverage
DhisanaNot provided
Ada11%
Cognigy9%
LivePersonNot provided
Boost.aiNot provided
Kore.ai9%

What This Comparison Shows

  • In this snapshot, Ada has reported coverage of 11%, compared with 9% for both Cognigy and Kore, while Dhisana, LivePerson, and Boost show coverage as not provided in the table.
  • Cognigy and Kore are each listed at 9% coverage in this period, indicating similar reported presence relative to Ada at 11% and to the three platforms with coverage not provided.
  • The contrast between reported coverage values (11% and 9%) and the “Not provided” entries for Dhisana, LivePerson, and Boost in this snapshot highlights a separation between platforms with stated coverage and those without reported figures.
  • The range from 11% (Ada) and 9% (Cognigy and Kore) down to “Not provided” for three other platforms in this period points to modest differentiation in how often some platforms are represented versus those without stated coverage.

What This Means

  • Because Ada is listed at 11% coverage versus 9% for Cognigy and Kore in this snapshot, buyers may encounter Ada slightly more often in AI-driven discovery, but should still compare all three on product capabilities rather than visibility alone.
  • With Cognigy and Kore both showing 9% coverage in this period, buyers researching these two may find a roughly similar volume of references and should prioritize evaluating differences in features, integrations, and pricing.
  • The “Not provided” coverage entries for Dhisana, LivePerson, and Boost in this table suggest that buyers may need to look beyond general AI assistant output - such as going directly to vendor sites or independent reviews - to gather sufficient information on these options.
  • Since coverage in this snapshot ranges from specific percentages (11% and 9%) to “Not provided,” buyers should treat visibility in AI assistants as a starting signal only, validating actual fit through hands-on trials, demos, and use-case - driven evaluations across all six platforms.

How to Use This Comparison

  • Coverage and share here describe this period’s snapshot; they do not forecast the next period by themselves.
  • Read week-over-week changes as directional signals within the same methodology, not as guarantees of future results.
  • Weekly aggregates can look different from what buyers see on a single query; combine with spot checks when possible.
  • Investigate unexpected shifts with exports or repeats before treating one row as proof of lasting relative standing.

Methodology

  • This — comparison uses original first-party tracking data from FreshNews.ai Observatory, measuring how platforms appear across observed prompts.
  • Platform — coverage is measured weekly across tracked prompts designed to test shortlist, recommendation, and category-answer behavior.
  • Data — reflects the observation window for early August 2026.
  • Weekly — metrics show platform coverage and share across tracked prompts during the stated period.
  • Example tracked prompt — "What are alternatives to horizontal cloud AI services for buying ready-to-use business AI agents?"

Key Differences That Matter

Across this set, one visible split is between customer-service - centric offerings like Ada, LivePerson, Boost, and Kore, general enterprise or operations-focused stacks like Cognigy and Dhisana. Some are referenced more consistently for omnichannel support and contact-center routing, while others appear more in conversations about workflow-heavy process automation. Discovery patterns also differ: certain vendors show up more frequently than peers in AI-generated shortlists, while others appear more selectively around narrower use cases or specific industries.

How to Evaluate and Compare Options

Reading this comparison, it helps to map vendors to the problems they are most often associated with. Ada, LivePerson, Boost, and Kore are more frequently positioned around digital customer engagement, while Cognigy and Dhisana are more often tied to multi-step, back-office or revenue workflows. Buyers can also contrast where platforms are mentioned as turnkey “out-of-the-box” agents versus where they are framed as highly configurable automation stacks, and weigh that against internal skills and integration needs.

Where Dhisana Fits

Dhisana is an AI agent platform centered on autonomous agents for B2B go-to-market teams, emphasizing repeatable revenue workflows such as prospecting, follow-ups, CRM hygiene, and handoffs. Within this comparison, it focuses less on broad customer support coverage and more on tightly scoped sales and pipeline execution, positioning it alongside platforms like Cognigy that address complex process flows rather than primarily contact-center interactions.

Conclusion and Next Steps

For buyers moving beyond horizontal cloud AI services, this set - Dhisana, Ada, Cognigy, LivePerson, Boost, and Kore - illustrates how agent platforms diverge in channel coverage, automation depth, and domain focus. Use the table and methodology that follow to align each vendor’s typical use cases with your own workflows, then shortlist the few whose strengths most clearly match your revenue and service priorities.

Sources

About Dhisana

An AI-powered revenue execution platform that uses autonomous agents to run and optimize sales workflows.

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