Callab AI

AI voice agents for legacy telephony systems.

Spring 2026ActiveB2BOperationsArtificial IntelligenceB2BCall CenterSan Francisco, CA, USA

Company

58% of the $400B call center industry runs on on-prem phone systems, and until now bringing AI voice automation to them meant ripping out their entire infrastructure first. That's the largest unserved segment in the market. Callab AI connects directly to legacy PBX systems like Avaya, Cisco UCM, and Mitel, and automates up to 70% of call volume with zero migration needed. We plug into these environments without requiring a rip-and-replace. We serve clients across three continents, including brands like Dunkin Donuts.

Note: This is a preliminary assessment based on limited publicly available information. We did not have access to LinkedIn profiles or live product screenshots for this analysis. We will update this entry with a more thorough review soon.

Verdict

High Signal

Market Opportunity

The $400B call center industry is massive, and the specific wedge — 58% running on-prem legacy PBX (Avaya, Cisco UCM, Mitel) that can't easily adopt AI — is a credible, underserved segment. B2B enterprise ICP with clear monetization via call automation. Targeting legacy infrastructure creates a real switching-cost moat once embedded.

Medium Signal

Founder Signal

CEO Haithem Kchaou claims 7+ years in AI across government and enterprise in France, Tunisia, and UAE — but no LinkedIn data to verify titles, companies, or specific products shipped. CTO Chehir Dhaouadi claims 10+ years in enterprise systems and built platforms serving 200K+ users in Tunisia, which is a real shipping signal. Both LinkedIn profiles unavailable, making verification impossible — this is a notable data gap.

Medium Signal

Competition

No competitor data surfaced, but the space includes Genesys, Five9, NICE, Nuance (Microsoft), and newer AI players like Retell AI, Vapi, and Bland AI. The differentiated angle is native legacy PBX integration without rip-and-replace, which is a meaningful technical moat if real — most cloud-native AI voice vendors require SIP migration or cloud PBX. The risk is that Avaya and Cisco themselves are building AI layers natively.

Medium Signal

Product

Claims to automate up to 70% of call volume with zero migration, serving clients across three continents including Dunkin Donuts as a named customer. No pricing page, demo, or usage metrics visible. Named customer logo is a positive signal but no revenue figures or deeper traction data provided.

OverallB Tier

The market wedge is genuinely smart — targeting the unserved legacy PBX segment is a differentiated and defensible position in a massive market. Dunkin Donuts as a named customer and multi-continent presence suggests real traction beyond vaporware. However, the complete absence of LinkedIn data for both founders makes it impossible to verify claimed experience, which is a serious due diligence red flag. The CTO's claim of shipping platforms to 200K+ users is the strongest founder signal here but unverifiable. If the technical integration claims hold up and revenue is real, this is a solid B — but the opacity around team background keeps it from rating higher.

Active Founders

Haithem Kchaou

Co-founder/CEO

7+ years building AI solutions across government and enterprise, with work experience spanning France, Tunisia, and the UAE. At Callab AI, he leads go-to-market and strategy - scaling the company through enterprise and contact center partnerships. Previously deployed AI systems across government entities.

Chehir Dhaouadi

Founder

10+ years building scalable enterprise systems across IT consulting, full-stack development, and technical leadership for financial institutions. At Callab.ai, he architects the core voice AI infrastructure - including deep integrations with legacy telephony stacks (CUCM, SIP trunks, PBX systems). Previously built and shipped platforms serving 200,000+ users across government entities in Tunisia.

Callab AI

TierB Tier

BatchSpring 2026

Team Size7

StatusActive

LocationSan Francisco, CA, USA

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