Interactions

Interactions

SaaS intelligent virtual assistant platform

About Interactions

Simplify's Rating
Why Interactions is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

AI & Machine Learning

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$151.1M

Headquarters

Franklin, Massachusetts

Founded

2004

Overview

Interactions provides hosted Intelligent Virtual Assistant (IVA) applications as a SaaS for enterprise customers to automate customer care. The platform combines conversational AI, including generative AI, with a real-time Human Assisted Understanding (HAU) process that uses humans in the loop to interpret complex interactions across voice and text, and it integrates with client systems like CRM, billing, and knowledge bases. It differentiates itself with a large patent portfolio, a hybrid AI approach, and strategic acquisitions (e.g., AT&T Watson and Digital Roots) plus tools like Task Orchestration and Trustera. Its goal is to help enterprises deliver accurate, efficient, and natural-sounding customer care at scale, with pricing often tied to successful outcomes.

Significant Headcount Growth
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Simplify's Take

What believers are saying

  • SoundHound AI's 2025 acquisition expands agentic AI into customer service orchestration revenue streams.
  • Verticalized IVA for Insurance captures premiums in regulated sectors like healthcare and telecom.
  • Enterprise integrations with CRM and billing drive workflow automation and BPO partnerships.

What critics are saying

  • SoundHound integration undercuts HAU model, triggering talent exodus in 3-6 months.
  • Kore.ai bots outperform Task Orchestration, causing Progressive switch in 6-12 months.
  • Google Dialogflow obsoletes HAU patents with 30% lower latency in 12-18 months.

What makes Interactions unique

  • Interactions' HAU blends conversational AI with real-time human intelligence for accurate interactions.
  • 131 patents, including 125th for direct speech-to-intent without transcription, enable low-latency understanding.
  • Task Orchestration and Trustera provide agent-assist and audio redaction for complex enterprise workflows.

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Funding

Total Funding

$151.1M

Below

Industry Average

Funded Over

10 Rounds

Late VC funding comparison data is currently unavailable. We're working to provide this information soon!
Late VC Funding Comparison
Coming Soon

Benefits

Unlimited Paid Time Off

401(k) Company Match

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

14%

2 year growth

14%
Insider Monkey
Sep 12th, 2025
SoundHound AI Acquires Interactions to Cement Its Lead in Agentic AI

SoundHound AI acquires Interactions to cement its lead in Agentic AI.

Stock Titan
Sep 9th, 2025
SoundHound AI Acquires Interactions LLC

SoundHound AI has acquired Interactions, a company known for its advancements in AI for customer service and workflow orchestration. This acquisition aims to bolster SoundHound AI's position in the field of agentic AI.

MarTech Series
Jan 25th, 2023
Interactions Secures Patent For Intent And Entity Recognition, Real-Time Sentiment Understanding To Uplevel Customer Experience

Proprietary speech understanding technology significantly enhances and streamlines customer serviceInteractions, the world leader in conversational artificial intelligence (AI), announced that it has acquired another landmark patent. Extracting Natural Language Semantics From Speech Without the Use of Speech Recognition, Interactions’ 125th patent, introduces new technology for intent and entity recognition, including real-time sentiment understanding. This seminal development will empower today’s most forward-thinking brands to better understand and serve their customers with Interactions’ industry-leading AI.The new patent addresses major deficiencies in the traditional speech understanding technologies that underpin many AI-powered customer experience platforms. Existing systems typically rely on a two-step speech understanding process: audio transcription first, and analysis second. This results in increased error frequency for virtual agents, and frustratingly long lag times for callers waiting on the other end of the line.In contrast, Interactions’ breakthrough technology has transformed speech understanding into a one-step process, autonomously retrieving the audio and immediately extracting and labeling its meaning. By optimizing across both speech recognition and natural language understanding (NLU), Interactions unlocks real-world benefits for customers and companies alike.Marketing Technology News: MarTech Interview with Cary Tilds, Chief Strategy and Operations Officer at FrameplayCustomers see greater efficiency, accuracy and seamlessness in their transactions

VentureBeat
Nov 10th, 2022
How Conversational Ai Can Remove Sensitive Information From Contact Center Calls

Every day, individuals call into customer contact centers and provide sensitive information, like credit card numbers, to agents by voice. Now, a conversational artificial intelligence (AI) solution using natural language understanding capabilities offers a way to remove that information from calls, while still passing data through for transactions. This is important because dealing with any sort of personally identifiable information (PII) inevitably involves an array of compliance with security and privacy regulations that can vary based on jurisdiction. There is also a non-trivial risk that sensitive information could potentially be leaked or stolen. In fact, there are known incidents where credit card information provided by voice have been written down by malicious agents, leading to undesirable outcomes

MarTech Series
Sep 19th, 2022
Martech Interview With Peter (P.H.) Mullen, Chief Marketing Officer At Interactions

Peter (P.H.) Mullen, Chief Marketing Officer at Interactions chats about a few ways through which CMOs can turn their marketing departments into more production, revenue generating centres in this quick catch-up:. _______

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