Startups > Uniphore

Uniphore

Uniphore enables enterprises to build and deploy secure agentic AI across business functions.

Series F $961M total Founded 2008 Palo Alto, California 878 employees

Uniphore is an AI-native platform that enables enterprises to deploy agentic AI across business functions through a composable, secure infrastructure. The Business AI Cloud combines a unified data layer, autonomous small language model factory, governed model foundation, and workflow-based agent orchestration—designed specifically for large enterprises requiring production-grade AI with data governance and security. Uniphore powers over 750,000 end users across 1,600 enterprises in 20 countries, with customers including JPMorgan Chase, Verizon, DHL, and the U.S. Coast Guard.

Problem solved

Enterprise organizations struggle to deploy AI agents and applications with the security, governance, scalability, and data integration required for mission-critical operations.

Target customer

Large enterprises (Fortune 500, financial services, telecommunications, logistics) with high-volume operations requiring conversational AI, agent automation, and contact center analytics at enterprise scale.

Website LinkedIn Crunchbase Twitter / X

Founders

Umesh Sachdev

CEO & Co-Founder

Named by Time magazine in 2016 as one of '10 millennials changing the world' for building multilingual speech recognition technology; founded Uniphore in 2008 and is an active angel investor in startups.

Ravi Saraogi

Co-Founder

Co-founded Uniphore in 2008 and was incubated at IIT Madras.

Funding history

Seed $100K September 2008 Led by Unknown · Unknown

Series A Unknown April 2015 Led by Kris Gopalakrishnan (Infosys co-founder) · IDG Ventures

Series B Unknown October 2017 Led by John Chambers · Existing investors

Series D $140M March 2021 Led by Sorenson Capital Partners · Unknown

Series E $400M February 2022 Led by NEA · Unknown

Series F $260M October 2025 Led by March Capital · NEA, Nvidia, AMD, Snowflake, Databricks

Total raised: $961M

Industries

Artificial Intelligence (AI) Computer Vision Enterprise Software Generative AI Machine Learning

Pricing

Custom B2B SaaS subscription model. Pricing varies based on number of users, desired features, and service levels. Contact for specific pricing.

Notable customers

JPMorgan Chase, Verizon, Vodafone, DHL, UPS, DirecTV, LG, Allstate, The Washington Post, Priceline, Atlassian, Dell, Skechers, Firstsource, London Underground, Singapore Police Force, U.S. Coast Guard

Integrations

Snowflake, Databricks, Salesforce, Salesforce Marketing Cloud, Google Cloud, AWS, Microsoft Azure, DocuSign, WordPress, Yoast SEO

Tech stack

Slick (JavaScript libraries) LazySizes (JavaScript libraries) jQuery UI (JavaScript libraries) jQuery Migrate (JavaScript libraries) jQuery (JavaScript libraries) core-js (JavaScript libraries) Swiper (JavaScript libraries) animate.css (UI frameworks) YouTube (Video players) Wistia (Video players) Webpack Open Graph Module Federation DocuSign WordPress (Blogs) Facebook Pixel (Analytics) reCAPTCHA (Security) Font Awesome (Font scripts) Twitter Emoji (Twemoji) Google Font API (Font scripts) Nginx (Reverse proxies) PHP (Programming languages) Apple iCloud Mail (Webmail) Microsoft 365 (Email) jsDelivr (CDN) Cloudflare (CDN) Salesforce Marketing Cloud Account Engagement (Marketing automation) MySQL (Databases) Google Tag Manager (Tag managers) Elementor (Page builders) Yoast SEO Premium (SEO) Yoast SEO (SEO) WP Engine (PaaS) OneTrust (Cookie compliance) DigiCert (SSL/TLS certificate authorities) Google Optimize (A/B Testing) Hello Elementor (WordPress themes)

Website

uniphore.com/

Competitors

Palantir

Broader enterprise data intelligence platform; Uniphore focuses on agentic AI and conversational AI specifically.

Microsoft Azure

General-purpose cloud infrastructure; Uniphore is a specialized composable AI platform with enterprise data governance.

Databricks

Data engineering and ML platform; Uniphore integrates data, models, and agents into a unified business AI cloud.

Snowflake

Cloud data warehouse; Uniphore adds agentic AI orchestration and knowledge transformation capabilities.

Verint

Contact center software with some AI; Uniphore emphasizes emotion detection, multimodal analytics, and agentic automation.

NICE

Strong in QA automation and behavioral coaching; Uniphore leads in conversational AI and multimodal enterprise analytics.

Why this matters: Uniphore's October 2025 Series F round ($260M at $2.5B valuation) with backing from Nvidia, AMD, Snowflake, and Databricks signals strong market validation for its agentic AI platform. The company's recent product launches (Business AI Cloud, X-Stream) and strategic acquisitions (ActionIQ, Infoworks, Orby AI, Autonom8) indicate rapid evolution toward becoming a comprehensive AI infrastructure stack for enterprises, positioning it as a key player in the shift from conversational AI to broader agentic enterprise automation.

Best for: Large enterprises managing high-volume contact centers, customer interactions, and complex workflows that need enterprise-grade conversational AI, agent automation, and compliance analytics with strong data governance.

Use cases

Contact Center AI Analytics

Financial services and telecom companies use Uniphore to analyze customer interactions in real-time, detect emotional sentiment, and automate quality assurance and compliance workflows. Uniphore's multimodal analytics identify coaching opportunities and customer experience gaps without manual review.

Intelligent Agent Automation

Logistics and e-commerce enterprises deploy Uniphore agents to automate order tracking, customer support, and fulfillment workflows orchestrated through BPMN-based processes. Agents are grounded in enterprise data and knowledge, reducing manual handoffs and improving first-contact resolution.

Enterprise Knowledge-as-a-Service

Organizations use X-Stream to convert structured and unstructured multimodal data into domain-specific knowledge that powers custom AI applications. A financial services firm might transform regulatory documents and customer data into knowledge that agents use to provide compliant customer guidance.

Secure Multi-Cloud AI Deployment

Regulated industries (government, financial services) use Uniphore's zero-copy composable data layer to unify data across on-premises systems and multiple cloud environments while maintaining security and compliance. No data replication reduces risk and cost.

Alternatives

IBM Watson Broader AI services portfolio; Uniphore is more focused on conversational AI, agent automation, and enterprise knowledge transformation.

Cisco Contact Center AI Integrated into Cisco's telecommunications ecosystem; Uniphore is platform-agnostic and emphasizes multimodal analytics and emotional intelligence.

Amazon Connect + Amazon Lex Cloud-native, pay-as-you-go; Uniphore provides deeper conversational AI, emotion detection, and enterprise data governance for large-scale deployments.

Google Cloud Contact Center AI Integrated with Google Cloud services; Uniphore offers stronger multimodal analytics and is positioned for broader enterprise AI agent deployment.

FAQ

What does Uniphore do? +

Uniphore is an AI-native platform that enables enterprises to build and deploy agentic AI across business functions. The Business AI Cloud provides a composable infrastructure combining unified data management, autonomous language model creation, governed model orchestration, and workflow-based intelligent agents. The platform is designed for large enterprises requiring conversational AI, contact center analytics, agent automation, and secure data governance at scale.

How much does Uniphore cost? +

Uniphore uses a custom B2B SaaS subscription model. Pricing depends on the number of users, desired features, and service levels. There is no public pricing; customers must contact Uniphore's sales team for quotes.

What are the main alternatives to Uniphore? +

Key alternatives include Palantir (enterprise data intelligence), Databricks (data and ML platform), Snowflake (cloud data warehouse), Verint and NICE (contact center software), and cloud-native offerings like Amazon Connect, Google Cloud Contact Center AI, and Microsoft Azure AI Services. Each competitor has different strengths in data infrastructure, contact center capabilities, or cloud integration.

Who uses Uniphore? +

Uniphore serves large enterprises across financial services, telecommunications, logistics, government, and retail. Notable customers include JPMorgan Chase, Verizon, Vodafone, DHL, UPS, the U.S. Coast Guard, and Singapore Police Force. As of September 2025, the platform powers over 750,000 end users across 1,600 enterprises in 20 countries.

How does Uniphore compare to Palantir? +

Palantir is a broader enterprise data intelligence platform focused on data integration and analytics. Uniphore is more specialized, emphasizing conversational AI, agent automation, and knowledge transformation for contact centers and business process automation. While Uniphore integrates data management (similar to Palantir), its differentiator is agentic AI orchestration and emotional intelligence in customer interactions.

What makes Uniphore unique? +

Uniphore is recognized as a leader in multimodal analytics and emotion detection in customer interactions. Unlike broader platforms, it combines a composable data layer, autonomous small language model factory, and agent orchestration in one unified platform. The X-Stream capability enables enterprises to rapidly convert business data into domain-specific knowledge for custom AI applications.

How does Uniphore handle data security and governance? +

Uniphore's zero-copy composable data layer unifies data across clouds, apps, and on-premises systems without replicating sensitive information, reducing compliance risk. The platform is designed with enterprise-grade security and governance for regulated industries like financial services and government.