About Cresta
Cresta is an enterprise AI platform for contact centers that serves both human agents and AI agents on one system. It covers three jobs: automating customer conversations with AI Agents, assisting live human agents in real time with Agent Assistance, and analyzing every interaction through Conversation Intelligence, including quality management automation.
The platform is built for large contact center operations in sectors such as travel and hospitality, financial services, telecommunications and healthcare. Cresta combines more than 20 large and small language models into task specific systems, fine tunes them on each customer's proprietary data alongside purpose built synthetic datasets, and validates them with LLM based evaluation, simulation and regression testing before deployment. Guardrails and real time moderation protect sensitive data and block malicious inputs or inaccurate outputs. A no code orchestration engine lets technical and non technical staff fine tune models, build AI agents and design workflows, and the platform integrates with existing contact center and business systems.
Pricing is not published. Cresta sells through demos and direct sales engagements, and there is no public pricing page.
Cresta was founded in 2017 out of Stanford's AI Lab by Sebastian Thrun, Tim Shi and Zayd Enam. Its first deployment was real time agent assist at Intuit in 2018, and it came out of stealth in 2020 with backing from Greylock and a16z, followed by a Series B from Sequoia in 2021.