Outset raises $17M to replace human interviewers with AI agents for enterprise research

Get out of the headA San Francisco Startupu, a San Francisco Startupu, a San Francisco Startupu, Fortune 500 enterprises, financed a series of $ 17 million in a series between Fortune 500. Tour headed by Venture Capital 8vc By participation Future back businesses by Bain & Company Existing investors bring the company’s total financing to $ 21 million.

The two-year-old company developed the first AI moderated research platform that could conduct video interviews with research participants in an unprecedented scale and speed. Including large customers Nestle, Microsoftand Diligent Advantages use technology to replace traditional market research methods that are largely unchanged.

“I know how difficult and time consumption of my customers and needs of my own professional experience – Aaron Cannon, co-founder, co-founder and the CEO of Venturebeat.”

How AI agents violate market research experiences for decades

Financing is increasingly looking for traditional market research for traditional market research, usually weeks or months to the participant, and the traditional market research required to end. The Autumnin Platform promises to deliver research results 8 times faster, 81 percent cheap, and provides 10 times more than human-controlled research.

Technology, AI moderators, synthesized voice, text, pictures and videos, conduct video reports with direct research participants. Participants can respond to mobile and desktop screens for videos, voice, text or user experience studies. AI, then automatically calculates the results, provides immediate reports and analytics.

“The AI ​​moderator of the island calls participants with voice, text, pictures and videos synthesized.

The traditional market research for the context covers the conduct of more than 25 deep interviews in 25-6 weeks in 4-6 weeks. With the beginning, companies can complete the entire project in less than a week while transferring 250 interviews and requires less hours of research groups.

Within Nestlé and Microsoft AI-Pighterli Customer Research Strategies

NestleMore than 2,000 brands are developing new food products and samples the entity’s entity’s application. The food giant begins using the start to test new product concepts by holding deep interviews with hundreds of participants in 1-2 days.

“Nestlé also develops new food products between the 2000 brands, when there are new concepts, consumers should be tested – wherever and how to consume, and how other brands should understand the brands of other brands,” he said.

The results are talking about the profitability of the platform. In a project, Nestlé has reduced the 81 percent expenditure supplied in marketing materials when accelerating the research schedule sharply.

MicrosoftAnother client uses the platform to better understand user experiences with AI products. “AI expanded research is here. We are partnering to accelerate and scalize our teachers from our team with the help of AI agents,” said Microsoft AI research head Jess Holbrook.

Why enterprise capitalists see a $ 140B market opportunity in AI research

Investment reflects the interests of the growing enterprise capital in AI applications that can replace traditional manual processes. Jack Moshkovich, a partner in the 8VC, sees a starting market in a massive invarial market.

“UX Research programs, general research programs budgets and managed research budgets in the end, in an interview with a $ 140 billion worth of $ 140 billion,” Moshhkovic “in an interview.

Investor, four main factors that manage the investment decision, a large market size, which is a strong leader, is the potential for a long-term product durability with an early market location, technical problems and data collection and deep customer understanding.

“EU-local applications that apply directly to the previously allocated expenses for pre-handed have been the main topic for us in the last two years.

From the 14 employees income from millions of income: starting explosive growth story

The financing comes in fast growth conditions for 14 people. More than 3 previous annual enterprise customers earned annual recurring income and revenue increased twice in the last four months. The company announced the increase in 20 percent monthly income and 10 times in the last year.

“We have annual repetitive revenues with more than 50 enterprises and grow very fast for the last 4 months – growing income.”

Quick adoption reflects a wider turn in the relationship with AI instruments. “Inertia is the greatest objection. People are used to traditional instruments and sometimes they do not feel ready to embrace new AI instruments. This has passed in mass for the last 6 months,” he said.

To deal with the next generation AI technology and the user

Starting, first of all, competes as traditional research workers and compete as a revenge and user that squeezes with obsolete methodologies. “They still trust in static surveys to collect information and their ‘AI Analysis’ vehicle still stands in the world of Word clouds and basic feelings,” he said.

The company also faces competition from other AI research beginnings, but the comprehensive enterprise platform of the ball provides competitive advantages. The platform includes security certificates, admin permission, information allocated jobs and interviewees require great enterprises.

“We have created this new category (AI-moderation research) and we continued to offer the most solid and flexible solutions for enterprises by extending all the ways from UX use tools to strategic market research.”

What AI research can do and cannot: understand the restrictions of the platform

Autethingin AI works best for research projects with three features: deep learning, scale and speed to assess and determine approximately learning goals. The platform is superior to a long-term study in the concept test, in the study of the study, market strategy research and time.

However, the ball admits restrictions. The platform is not recommended when researchers want to develop even deeper relations as a potential prospectus interview or want a full improvisation. “In these cases, we recommend an interview against several people and then expand your research with AI moderation,” he said.

Technology researchers can study the participants in the appropriate regulatory regulation, and research the participants. “The best AI moderator is designed to get the needs, goals, goals and guidelines. Then the AI ​​moderator will conduct an investigation to better understand or clarify the experience, motivations, advantages or reactions,” Cannon said.

Customers Open the AI ​​more for more interviews than human researchers?

A continuous question of a continuous question of a Moderated research is concerned about the reduction in automation and automation in the interviews. The opposite of the ball occurs in practice.

“When we look at the future of the EU, we usually ask the AI ​​to be less human and personal research. In the beginning, today we have seen our interviewee to our AI agents, which are not seen with human researchers,” he said. “In any language or zone to talk to thousands of people in the world in the world, our clients are acutely reduced by users who want and need their products, services and experience with mankind.”

$ 17 million to democratize customer concepts among Fortune 500

The new financing will support two primary initiatives: Compared to the growing research request for EU research, the building of more advanced AI agents until the understanding of more advanced AI agents.

“We will use $ 17 million to create our GTM team rapid administration research and create another developed AI agents in any organization in any organization,” he said.

The company has ambitious plans for the development of the product. “Think that everyone in an organization can ask the EU a simple question and follow real preliminary research, run and analyze real preliminary research within a few hours,” he said.

12 months ago, 12 months ago, “the world’s first end of the world, the EU-native enterprise research platform”, 5x revenue growth and a critical decision-making infrastructure for 20 percent, “the first end of the world, AI-native enterprise research platform”.

Investors share this optimism. “I saw that it continues to grow incredibly fast income and we expect more than 5x income of the work this year,” Moshhkovic said.

Sunday means a success of what is for the future of the research industry

Initially, the growth reflects a broader transformation in the approach of the businesses’ customer research and information collection. The AI ​​is experienced AI aggression and an entity accelerates the obligation, which dominates the dominant traditional research methodologies, superior speed, scale and efficiency.

The company’s success with large enterprises suggests that the AI ​​moderator can be completely new approaches to understand the needs and behaviors, the traditional market research industry can potentially become the standard experience according to its offensive parts.

Technical decision makers showed a leading choice in the AI-moderation research category, showing the attention of AI research platforms, the starting facility, security features and results with large customers.

However, perhaps the most explanatory sign of this transformation is located in the congregation of the AI ​​interview than people. In an industry based on human connection and empathy, the future of customers can be dependent on the future, which can be increasingly tired, never exhausted to judge and listen.