Ada vs CBOT

Ada is an AI customer service platform from Toronto, founded in 2016 by Mike Murchison and David Hariri. It started as a no-code chatbot builder and has repositioned itself as an agentic customer experience platform: AI agents that answer and resolve customer inquiries end to end across messaging, email and voice, rather than deflecting them to a help article.

The agent orchestrates several large language models, reads your knowledge base, and uses Actions to call your systems so it can look up orders, change bookings or issue refunds. Playbooks encode multi-step standard operating procedures, and the platform includes testing, coaching, analytics and an automated resolution metric to track how many conversations finish without a human. Ada lists SOC 2, HIPAA, GDPR and PCI DSS compliance. There is no self-serve plan: pricing is quote-based after a sales demo.

Ada fits large consumer brands with hundreds of thousands of support conversations a year, such as Pinterest, monday.com, Grab and Life360. Smaller teams usually get faster value from Intercom Fin or Tidio Lyro, which price per resolution and install in an afternoon. Zendesk AI agents make more sense if you want to stay inside one helpdesk vendor, and Decagon and Sierra are the main newer enterprise rivals.

In February 2026 Ada launched a unified Reasoning Engine that powers its agents across all channels from one intelligence layer. When evaluating, ask for a pilot on your own transcripts and compare the automated resolution rate, not deflection, against your current baseline.

CBOT is an enterprise conversational AI company founded in 2017 and based at Istanbul Teknokent in Avcılar, Istanbul. Led by CEO Mete Aktaş, it builds voice and chat AI agents for large organisations, mainly in banking, insurance, telecom and retail. Its customers include Ziraat Bankası, Halkbank and Garanti BBVA, and QNB's mobile banking assistant Q runs on the CBOT Platform. Gartner featured the company in its Competitive Landscape: Conversational Solutions 2025 report.

The CBOT Platform is used to build, operate, monitor and improve AI agents alongside human teams. Voice agents handle calls for collections, identity verification, appointments and customer service; digital agents work across web, WhatsApp, Instagram and SMS or run behind the scenes to trigger workflows and update records. A customer service workspace gives human agents cross-channel history, live answer suggestions and summaries. It also sells packaged digital employees such as TAHSİLDAR for collections, plus its own LLM. Guardrails, observability and evaluation are built in, and it can be deployed in public cloud, private cloud, on-premises or hybrid. Pricing is not published.

CBOT fits regulated enterprises that need Turkish-language voice automation and on-premises deployment. It is not a self-serve tool: Botpress and Voiceflow let small teams build bots on a free tier, and Landbot is simpler for marketing chatbots.

Buying tip: ask for sector references and start with a pilot on one high-volume use case, such as collections calls.