This Uniphore company profile covers the company's valuation, revenue, funding rounds, investors and history. Uniphore works in artificial intelligence, with a focus on enterprise business AI and conversational AI. It was founded in 2008 and is headquartered in Palo Alto, California, United States. Its latest valuation on record is US$2.5 billion (October 2025). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.
Revenue
| Metric | Value | As of | Source |
|---|---|---|---|
| Reported ARR | More than US$200 million, growing about 100% a year (CEO interview) | Late 2025 | Wikipedia |
Funding history
| Date | Round | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| Oct 2025 | Series F | US$260M | US$2.5B | Nvidia, AMD, Snowflake, Databricks, NEA, March Capital, BNF Capital, National Grid Partners, Prosperity7 Ventures | Inc42 |
| Feb 2022 | Series E | US$400M | US$2.5B | NEA (lead) | Entrepreneur India |
Uniphore timeline
Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.
- 2008 — Uniphore is founded in Palo Alto by Umesh Sachdev (CEO) and Ravi Saraogi.
- Feb 2022 — Series E: US$400M, valuing the company at US$2.5B. Investors: NEA (lead).
- Oct 2025 — Series F: US$260M, valuing the company at US$2.5B. Investors: Nvidia, AMD, Snowflake, Databricks, NEA, March Capital, BNF Capital, National Grid Partners, Prosperity7 Ventures.
- Late 2025 — Reported ARR: More than US$200 million, growing about 100% a year (CEO interview).
Investors
Overview
Uniphore sells an enterprise AI platform that helps large companies put AI to work on their own data. Its Business AI Cloud brings together tools to prepare and connect enterprise data, choose and fine-tune AI models, and build AI agents for tasks in customer service, sales, finance, HR and operations. The company began as a pioneer in conversational AI for call centres, analysing voice conversations in real time, and has broadened into a platform that aims to be neutral across data sources and AI models.
Umesh Sachdev, the CEO, and Ravi Saraogi founded Uniphore in 2008 in Chennai, India, after meeting as engineering students. The company began with speech recognition for Indian languages, helping rural mobile phone users access services by voice, then moved into enterprise contact centres. Uniphore later moved its headquarters to Palo Alto, California, while keeping a large team in India, and is often cited as one of India's most successful deep technology companies.
Products
- Business AI Cloud: a platform spanning data, knowledge, models and agents, designed to work with a company's existing data warehouses and AI providers.
- Data and knowledge layer: tools that connect, clean and organise enterprise data for AI, including from platforms such as Snowflake and Databricks.
- Model layer: support for open and closed models, with fine-tuning on company data, including small language models for specific tasks.
- Agents: prebuilt and custom AI agents for customer service, sales, compliance and other workflows.
- Conversational and emotion AI: real-time analysis of calls and video meetings, building on Uniphore's original products and its acquisitions of companies such as Emotion Research Lab and Jacada.
Funding
Uniphore raised a US$400 million Series E in February 2022 at a US$2.5 billion valuation, led by NEA. In October 2025 it raised a US$260 million Series F at the same US$2.5 billion valuation, with strategic investors Nvidia, AMD, Snowflake and Databricks joining existing backers NEA and March Capital, along with BNF Capital, National Grid Partners and Prosperity7 Ventures. Keeping its valuation flat for more than three years reflects the reset in software valuations after 2022, while the strategic investors signal support for its platform strategy. CEO Umesh Sachdev said in an interview after the round that the company had passed US$200 million in annual recurring revenue and was growing about 100% a year; we list that as a reported figure.
Business model
Uniphore sells enterprise subscriptions and usage-based pricing for its platform and applications, often to large banks, telecoms, insurers, healthcare companies and technology firms with large customer operations. The company doesn't publish audited financials, so we show revenue as not disclosed in the fact tiles.
Competition
Uniphore competes with enterprise AI platforms from Microsoft, Google, Amazon and Salesforce; with contact centre AI vendors such as NICE, Genesys and Five9; with agent startups including Sierra and Decagon; and with enterprise generative AI platforms like Writer. Its positioning as a neutral layer that works across data clouds and model providers is a key differentiator, reflected in investments from both Snowflake and Databricks, which are competitors.
Uniphore at a glance
Uniphore is a Palo Alto enterprise AI company founded in Chennai in 2008 by Umesh Sachdev and Ravi Saraogi. It began in conversational AI for contact centres and now offers a Business AI Cloud for data, models and agents. It raised US$400 million at US$2.5 billion in 2022 and a US$260 million Series F at the same valuation in October 2025, backed by Nvidia, AMD, Snowflake and Databricks.
Timeline
- 2008: founded in Chennai with speech recognition for Indian languages.
- 2010s: moves into enterprise contact centre AI and relocates headquarters to the US.
- 2021: acquires Jacada and Emotion Research Lab and raises a Series D.
- February 2022: raises US$400 million at US$2.5 billion.
- October 2025: raises US$260 million at US$2.5 billion with Nvidia, AMD, Snowflake and Databricks.
Why contact centres were AI's early proving ground
Contact centres handle billions of conversations a year and generate huge volumes of data. They were among the first places businesses used AI at scale: transcribing calls, analysing sentiment, guiding agents in real time and automating simple requests. Generative AI has expanded what's possible, from summarising every call to AI agents that resolve issues end to end. Uniphore's experience in this environment gave it expertise in real-time speech and enterprise integration that it has applied to its broader platform.
Small language models in the enterprise
Large frontier models are powerful but expensive to run at high volume. Many enterprises are turning to small language models fine-tuned for specific tasks, such as classifying support tickets or extracting data from forms, which can be cheaper, faster and easier to run privately. Uniphore has emphasised tools for building and deploying such models on company data, alongside access to larger models where needed.
Questions for enterprise buyers
- How does the platform connect to your existing data warehouses and applications?
- Which models are supported, and can you bring your own?
- What measurable outcomes have similar companies achieved?
- How are data security and compliance handled across regions?
Who uses Uniphore
Uniphore's customers are large organisations with complex operations and many customer interactions, including banks, insurers, telecoms providers, healthcare companies and technology firms. Many began with contact centre analytics and have expanded into broader AI projects using Uniphore's data and agent tools.
Latest developments (October 2026)
Uniphore formed a partnership with LTM in May 2026 to build industry-specific AI and launched a marketing AI product in August 2026, according to company news collected by Fundz. Its October 2025 round of US$260 million from Nvidia, AMD, Snowflake and Databricks was at a flat US$2.5 billion valuation, according to Inc42. See our AI voice companies guide.
What to watch
Watch revenue growth, adoption of its Business AI Cloud, partnerships with Snowflake and Databricks, any IPO preparation and competition from cloud platforms. Our guide to the largest Indian startups covers other Indian-founded technology companies.
Takeaways
Enterprises can use a neutral platform to apply AI across their data and models. Founders can learn from Uniphore's long evolution from regional speech technology to global enterprise AI. Investors should note the flat valuation alongside reported fast ARR growth.
Sources
Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.
Frequently asked questions
What does Uniphore do?
Uniphore is a artificial intelligence / enterprise business ai and conversational ai company headquartered in Palo Alto, California, United States. It was founded in 2008.
What is Uniphore's valuation?
Uniphore was valued at US$2.5 billion as of October 2025, according to Entrepreneur India. Private company valuations are set at funding rounds or share sales and can change significantly between them.
How much revenue does Uniphore make?
Uniphore is a private company and has not publicly disclosed its revenue. Figures on third-party sites are usually modelled estimates rather than numbers reported by the company.
What was Uniphore's latest funding round?
The most recent financing we have verified is a series f in Oct 2025: US$260M, at a valuation of US$2.5B. Source: Inc42.
Who are Uniphore's investors?
Investors named in public announcements include NEA, March Capital, Nvidia, AMD, Snowflake, Databricks, Prosperity7 Ventures, National Grid Partners and Sorenson Capital.
Who founded Uniphore?
Uniphore was founded in 2008 by Umesh Sachdev (CEO) and Ravi Saraogi.
Is Uniphore a public company?
No. Uniphore is a private company (private, venture backed), so its shares are not traded on a stock exchange and it isn't required to publish its financial results.
Where is Uniphore headquartered?
Uniphore is headquartered in Palo Alto, California, United States.