Omilia raises $67M to scale its customer support platform
The customer support industry has seen a massive influx of startups like Sierra, Decagon and Parloa trying to infuse AI into automating customer calls, chat and messages so companies can handle more queries at scale. But according to Athens-based Omilia, which has been working on automating voice calls and customer support since 2002, throwing AI at every process can be wasteful. The company’s CEO Dimitris Vassos says that a large proportion of incoming customer support queries involve basic information, such as account balances, and there’s little need to deploy large language models for such tasks.
- ▪The customer support industry has seen a massive influx of startups like Sierra, Decagon and Parloa trying to infuse AI into automating customer calls, chat and messages so companies can handle more queries at scale.
- ▪But according to Athens-based Omilia, which has been working on automating voice calls and customer support since 2002, throwing AI at every process can be wasteful.
- ▪The company’s CEO Dimitris Vassos says that a large proportion of incoming customer support queries involve basic information, such as account balances, and there’s little need to deploy large language models for such tasks.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/08/06/omilia-raises-67m-to-scale-its-customer-support-platform/ |
| Publication time | Thu, 06 Aug 2026 12:00:00 +0000 |
| Retrieval time | 2026-08-06T12:35:42.760Z |
| Last seen | 2026-08-06T12:35:42.760Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 6qf_NYXa7gJT · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
The customer support industry has seen a massive influx of startups like Sierra, Decagon and Parloa trying to infuse AI into automating customer calls, chat and messages so companies can handle more queries at scale. But according to Athens-based Omilia, which has been working on automating voice calls and customer support since 2002, throwing AI at every process can be wasteful. The company’s CEO Dimitris Vassos says that a large proportion of incoming customer support queries involve basic information, such as account balances, and there’s little need to deploy large language models for such tasks. “We will use any available weapon to win the battle for customer service. Companies like Sierra, Decagon, etc. identify as generative AI companies.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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