Summary Enterprise contact-center AI platform for agent assist, QA automation, coaching, compliance monitoring, call summarization, and voice AI agents. Enterprise Customer Experience AI platform combining autonomous AI agents, agent assist, conversation intelligence and no-code orchestration. Cofficiency sells CophyAI, an enterprise AI platform for regulated industries that measures, monitors, and improves AI output quality.
Description Balto presents itself as a unified contact-center AI platform combining real-time agent assist, QA automation, coaching, compliance monitoring, call summarization, analytics, and voice AI agents. Public evidence supports a productized SaaS/platform offering oriented toward enterprise contact centers, with integrations into existing CRMs/phone systems and a security posture that includes SOC 2 compliance claims. Cresta unifies autonomous AI Agents, real-time Agent Assist and Conversation Intelligence on Cresta Opera, a no-code AI orchestration layer for large enterprise CX operations. Cofficiency sells CophyAI, a platform for running enterprise AI workflows with quality management, auditability, and security controls. The product is aimed at regulated, high-volume operations such as mortgage, banking, insurance, debt collections, call centers, and healthcare administration. The company appears to sell productized software and direct demos rather than self-serve plans, with additional security-review and contact-led engagement.
Positioning Contact-center AI platform focused on real-time guidance, automated QA, coaching, compliance, summarization, and voice AI agents for enterprise customer-facing operations. Unified CX AI platform for human and AI agents Enterprise AI quality-management infrastructure for regulated workflows, emphasizing measurable output quality, current knowledge, audit trails, tenant isolation, and controlled deployment rather than generic AI features.
HQ location St. Louis, Missouri, United States San Francisco, CA, USA Irvine, CA, USA
Founded 2017 2017 2025
Employee range 51-200 501-1000 1-10
Funding stage Series B Series C Plus Bootstrapped
Company type Private Private Private
Pricing model custom quote subscription, usage based custom quote
Last updated — Jun 21, 2026 Jun 21, 2026
Revenue estimate Unknown Undisclosed; third-party estimates vary Undisclosed
Valuation estimate Unknown $1.6B Undisclosed
Investments Public Balto press pages indicate the company was founded in 2017 and has announced Seed, Series A, and Series B fundraising, including a $37.5M Series B in 2021. No reliable public evidence found for current valuation. $282M disclosed funding estimate; $125M Series D reported in 2025 Undisclosed / no public funding data found
Target customers Enterprise contact centers, customer support organizations, sales teams, and accounts receivable operations. Large enterprise contact centers, support, sales and customer experience teams Regulated organizations and operational teams in mortgage and lending, banking and financial services, insurance, debt collections, call centers/BPOs, and healthcare administration.
Key competitors Uniphore, Observe.AI, CallMiner, Level AI, Cognigy, Five9, Talkdesk, NICE, Cresta Observe.AI, Level AI, NICE, Cognigy, Ada, Talkdesk, Forethought Observe.AI, Cresta, Level AI, CallMiner, Shakudo, Humanloop, Vellum AI, Galileo, Arize AI
Known customers InteLogix, Credit Control, Bordner Home Solutions Intuit, Verizon, Cox Communications Undisclosed
Segments AI Agents, AI Quality & Observability, Call Analysis, Voice AI Agents, Analytics & BI AI Workflows, AI Agents, AI Developer Tools, Knowledge & RAG, LLM Deployment, AI Quality & Observability, Traditional ML, AI Governance & Risk, Call Analysis, Chatbots, Voice AI Agents, STT/TTS Infrastructure, Analytics & BI AI Workflows, AI Agents, Knowledge & RAG, Document AI, AI Quality & Observability, AI Governance & Risk
Industries Customer Support / CX, Sales / GTM Customer Support / CX Financial Services, Customer Support / CX, Sales / GTM
Company URL www.balto.ai cresta.com cofficiency.com
LinkedIn URL — — —
Status Active Active Active
Data source Research Team Data Research Team Data Research Team Data