SoundHound brings voice and conversational AI solutions to products and services worldwide using OCI AI infrastructure
SoundHound AI· United StatesOracle Cloud Infrastructure (OCI) · OCI AI InfrastructureSoundHound AI migrated its hybrid on-premises and cloud technology platform to Oracle Cloud Infrastructure in 2021, becoming an early adopter of OCI AI infrastructure to run the complex AI models behind its voice and conversational AI agents. The company saw a 50% to 60% performance boost and a 50% cost reduction while doubling usage in its first six months on OCI, growing from about 100 million queries in its first month on OCI to more than 1 billion queries a month by year's end, and expanding into restaurant, healthcare and financial services verticals.
Overview
SoundHound AI migrated its hybrid on-premises and cloud technology platform to Oracle Cloud Infrastructure in 2021, becoming an early adopter of OCI AI infrastructure to run the complex AI models behind its voice and conversational AI agents. The company saw a 50% to 60% performance boost and a 50% cost reduction while doubling usage in its first six months on OCI, growing from about 100 million queries in its first month on OCI to more than 1 billion queries a month by year's end, and expanding into restaurant, healthcare and financial services verticals.
This entry has 14 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
As SoundHound anticipated aggressive revenue growth, it needed a scalable cloud infrastructure powerful enough to run its complex AI models without downtime, deliver sufficient capacity on demand, and support global expansion -- needs its existing hybrid on-premises and cloud platform could not meet.
The solution
In 2021, the company migrated its hybrid on-premises and cloud technology platform to Oracle Cloud Infrastructure, becoming an early adopter of OCI AI infrastructure. SoundHound AI's platform understands the complexity of speech, letting businesses automate natural, conversational interactions with customers using AI agents -- whether they're ordering a pizza, making an appointment, or completing a banking transaction.
Reported business value
SoundHound experienced a 50% to 60% performance boost and a 50% cost reduction while doubling its usage in its first six months on OCI. It grew from about 100 million queries in its first month on OCI to more than 1 billion queries a month by year's end, and annual revenue grew from US$21 million in 2021 to an anticipated US$160-178 million for 2025, while expanding into the restaurant, healthcare, and financial services industries.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other technology & software entries in the register.
HP crafts marketing campaigns that resonate with customers using Databricks and Uniphore
HP centralized first-party customer data on the Databricks Data + AI Platform with Delta Lake and Unity Catalog, and connected it to Uniphore's HybridCompute for federated query pushdown, cutting campaign setup from 2 weeks to 2 hours and processing 400 million records in seconds.
Transforming Weather Forecasting with Lakeflow Jobs
AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.
AccuWeatherLakeflow Jobs · Delta Sharing · DatadogAdobe brings creativity to life with Databricks
Adobe uses the Databricks Data + AI Platform for end-to-end data management that unifies all data and AI at scale, with 20% faster performance. Databricks equips over 92 teams at Adobe to unify data from financials, sales, products, customers and employees so they can drive personalized experiences across Adobe's digital platforms with AI.
Supermetrics: Helping Marketers Redefine Efficiency with AI-Powered Data Analysis
Supermetrics, a Finland-based marketing intelligence platform serving 15,000+ customers across 132 countries, built an AI agent on Google Cloud using Vertex AI Agent Builder and the Agent Development Kit (ADK) that autonomously manages data connections, fixes pipeline errors, and analyzes campaign performance in real time, suggesting new creative options using Imagen. The agent automates the weekly marketing reporting cycle that previously took performance marketers up to four hours, reclaiming over 15 hours per month per marketer for strategy and creative testing. The system uses a central AI agent that interprets natural language requests and delegates tasks to sub-agents, and stores 'core memories' of user preferences for personalized context.
Supermetrics· FinlandGoogle Cloud · Vertex AI Agent Builder · Agent Development Kit (ADK) +1
Was this helpful?
Your feedback helps us improve our use case database