Callab AI

<!-- hacklab:yc-profile -- YC company profile Human-centered AI for contact centers. Callab AI is a human-centered customer engagement platform for enterprise contact centers. I…

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About Callab AI

YC company profile

Human-centered AI for contact centers.

Callab AI is a human-centered customer engagement platform for enterprise contact centers. It lets teams deploy AI agents that handle inbound and outbound conversations across voice, chat, and messaging, while human agents and supervisors stay in control of every interaction.

The platform has two sides. The AI side lets teams build, deploy, and evaluate voice and text agents using a shared knowledge base, embedded evaluations, post-call analysis, data extraction, batch calling, and call transfer. The human side provides a dialer and a live supervision dashboard, from which a person can watch any AI conversation in real time, step in, and hand it back without the customer repeating a word.

Every agent retains memory across channels, so a customer who called yesterday and writes today is recognized and picked up where they left off. The system learns from each human intervention and improves in the direction the team chooses.

Callab AI runs on its own carrier-grade telephony stack and connects natively to Cisco, Mitel, Avaya, SIP trunks, and on-premises PBX systems. Enterprises can adopt it without migrating to the cloud first. The platform maintains SOC 2 controls and serves customers in financial services, healthcare, hospitality, and retail.

Key features:

AI voice and text agents: Agents handle inbound and outbound conversations across phone, chat, and messaging from a single configuration.
Live human supervision: Supervisors watch any AI conversation in real time and take over without the customer repeating a word.
Persistent memory: Every customer's full context is retained across channels and over time.
AI builder: Teams design, test, and deploy agents without engineering support.
Embedded evaluations: Every conversation is scored continuously, so performance is measured rather than assumed.
Self-improving agents: Agents learn from human interventions and get better with every conversation.
Post-call analysis and data extraction: Every conversation becomes structured, searchable records.
Batch calling and call transfer: Outbound campaigns run at scale, and conversations move to a human with full context attached.
Native telephony integration: The platform connects directly to Cisco, Mitel, Avaya, SIP trunks, and on-premises PBX without cloud migration.
SOC 2 controls: Security and compliance support deployments in regulated industries.

Callab AI delivers every agent production-ready. Our team studies the customer's workflows, internal processes, and existing systems, then builds, tests, and implements the agent on that foundation, so it performs to the organization's own standard from the first live conversation.

YC batch: Spring 2026
Founded: 2024
Team size: 7
Location: San Francisco
Country: US
Status: Active
Industry: B2B
Stage: Early
YC partner: Tom Blomfield

Founders

Haithem Kchaou — Founder/CEO

Second-time founder; scaled a mobile app to 200K+ downloads.
Led a sovereign national AI initiative that provided free LLM access to over 300,000 students.
Co-published 2 research papers on LLM fine-tuning and data collection.
Thomas Jefferson Scholar (top 2% of applicants).

LinkedIn · X

Chehir Dhaouadi — Founder/CTO

Software engineer who built and scaled telecom and VoIP systems across the Middle East and North Africa.
Co-built a mobile app scaled to 200K+ downloads.
Deployed local LLM instances in a government datacenter to power free student access at national scale.
Co-published 2 research papers on LLM fine-tuning and data collection.
Trained over 300 developers.