Alternatives to Horizontal Cloud AI Services - Mid April 2026

Ada (19% coverage) and Kore (11% coverage) lead this AI agent platform comparison, based on FreshNews.ai Observatory data for mid April 2026.

• Top tools by AI Visibility (Week of mid April 2026):
• Dhisana: coverage not provided
• Kore: 11% coverage
• Boost: coverage not provided
• Cognigy: 8% coverage
• Yellow: coverage not provided
• Ada: 19% 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, Kore, Boost, Cognigy, Yellow, and Ada as alternatives to horizontal cloud AI for ready-to-use business agents, deciding which mix of depth, deployment model, and go-to-market fit should advance on an internal shortlist.

For teams moving beyond generic cloud AI tools, the choice between Dhisana, Kore, Boost, Cognigy, Yellow, and Ada affects how quickly they can deploy specialized agents, where they can safely automate, and how tightly agents align to customer- or revenue-facing workflows. This comparison highlights when each platform skews less toward undifferentiated chat interfaces and more toward opinionated agent capabilities, orchestration, and enterprise control.

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

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.

• In this snapshot, Ada shows the highest reported coverage at 19%, compared with Kore at 11% and Cognigy at 8%.
• During this period, Dhisana, Boost, and Yellow have no reported coverage, while Ada (19%), Kore (11%), and Cognigy (8%) each show some level of reported presence.
• In this dataset, Kore’s 11% coverage is higher than Cognigy’s 8%, but both remain below Ada’s 19% coverage for this period.

• Because Ada shows 19% coverage in this period while Dhisana, Boost, and Yellow have no reported values, buyers may find it easier to locate third-party references for Ada when running side‑by‑side comparisons.
• Kore at 11% and Cognigy at 8% have measurable but lower coverage than Ada’s 19%, so buyers can expect some external material but may need more direct engagement with these vendors to round out their evaluations.
• The absence of reported coverage for Dhisana, Boost, and Yellow in this snapshot suggests buyers should plan on more primary research - such as demos, proofs of concept, or reference calls - rather than relying heavily on comparative coverage data.
• Since only three of the six platforms have any reported coverage values (19%, 11%, 8%) in this period, buyers should place more weight on the consistency and completeness of available information across platforms than on small percentage differences among the reported figures.

• 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.

• 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 mid April 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?"

Across the set, Kore and Cognigy tend to be framed more as broad conversational or contact-center automation platforms, while Yellow, Ada, and Boost are more frequently associated with customer engagement and support agents. Dhisana stands out by being explicitly positioned around B2B go-to-market workflows. Some platforms are referenced more often in multi-channel, voice-plus-chat scenarios, whereas others appear more focused on digital channels and web or in-app experiences.

When reading the comparison, it helps to segment options by primary use case: Kore and Cognigy often map to contact center and complex orchestration, Yellow, Ada, and Boost to support and customer experience, and Dhisana to sales and revenue workflows. Compare how each handles prebuilt agent templates, integration paths into your existing stack, governance and analytics, and whether their strengths align with your highest-value, repeatable processes.

Dhisana is an AI agent platform oriented around B2B go-to-market teams, emphasizing agents that execute prospecting, follow-ups, CRM hygiene, and handoffs. Compared with broader conversational AI platforms like Kore, Boost, Cognigy, Yellow, and Ada, Dhisana focuses less on general-purpose customer or IT support and more on structured revenue workflows and sales execution. It fits where organizations want agents to directly drive pipeline creation and deal progression rather than provide primarily service-oriented automation.

To narrow a shortlist, first anchor on your dominant workflow: contact center automation, digital support, or revenue execution. Then use the comparison to see how Kore, Boost, Cognigy, Yellow, Ada, and Dhisana align with that anchor in terms of packaged agents, orchestration depth, and enterprise controls. From there, buyers can select two or three for deeper proofs-of-concept against a clearly defined agent use case.