Full-Time
Confirmed live in the last 24 hours
Develops AI chatbots for IT operations
Mid, Senior, Expert
Remote in USA
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Aisera develops chatbots and process-centric AI solutions specifically for IT operations. Their chatbots are designed to engage in human-like conversations, allowing clients to access self-service options that help reduce costs associated with service desks. Aisera primarily serves organizations that seek customizable virtual agents to modernize their IT operations and minimize unplanned outages. Unlike many competitors, Aisera focuses on providing quick deployment of AI solutions, which gives clients a faster time-to-market. The company's goal is to enhance productivity and customer experience by offering personalized interactions while also enabling businesses to build their own bot experiences using their data.
Company Size
201-500
Company Stage
Series D
Total Funding
$212.5M
Headquarters
Palo Alto, California
Founded
2017
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Health Insurance
Wellness Program
Flexible Work Hours
Remote Work Options
Professional Development Budget
Anthropic has unleashed AI agents that can surf the web and control computers, intensifying the race to commercialize AI assistants that can actually get things done.The move puts Anthropic in direct competition with tech giants Microsoft, Google, and OpenAI, who are all vying to automate routine computer tasks for businesses looking to boost productivity and cut costs. While previous AI tools have focused on text and image generation, these new agents represent an evolution toward AI systems that can actively manipulate software and complete complex workflows with minimal human oversight.“Agentic AI is set to redefine industries over the next three years, with its ability to operate autonomously and make decisions without human intervention,” Dan Parsons, COO/CPO at Thoughtful AI, told PYMNTS. “The greatest impact will be seen in areas like system administration, operations, customer service, and complex decision-making, where AI can drastically improve efficiency, reduce costs, and unlock new levels of scalability.”Anthropic’s Agent MoveAnthropic’s new AI capabilities allow its Claude model to control computers directly—from web browsing to coding and app interaction. While the technology shows promise, with Anthropic claiming superior performance on key benchmarks, actual success rates remain modest at 14.9% for basic computer tasks.Unlike rivals Microsoft and Salesforce, which build AI agents to work within specific applications, Anthropic’s approach lets its AI system operate computers just as humans do – by interpreting what’s on screen and using the mouse and keyboard. The strategy marks a significant shift in how AI could automate everyday tasks, though experts caution that reliable performance remains a key challenge.“Right now, the impact of autonomous AI agents is limited, but the potential is very large,” Olga Kupriyanova, principal consultant, AI & data engineering at technology research and advisory firm, ISG told PYMNTS.The growing competition in the AI agent space will likely drive down AI pricing. According to McKinsey, while AI agents were initially too expensive for many business applications, costs are now rapidly declining
Aisera named a leader in 2024 gartner(r) magic quadrant(tm) for artificial intelligence applications in IT service management.
PALO ALTO, Calif., Oct. 11, 2024 (GLOBE NEWSWIRE) - Aisera, a leading provider of agentic AI for the enterprise, today announced it has been named a Leader in the 2024 Gartner(R) Magic Quadrant(TM) for Artificial Intelligence Applications in IT Service Management.
PALO ALTO, Calif., Aug. 05, 2024 (GLOBE NEWSWIRE) - Aisera, a leading developer of generative AI applications and platform for the enterprise, today announced that it has been recognized as a leader in The Forrester Wave(TM): Conversational AI Platforms For Employee Services, Q3 2024 report.
We want to hear from you! Take our quick AI survey and share your insights on the current state of AI, how you’re implementing it, and what you expect to see in the future. Learn More. In just a short period of time, AI has demonstrated viable capabilities in healthcare: Large language models (LLMs) can offer tumor diagnoses, provide sleep and fitness advice, scan medical images and analyze MRIs, X-rays and tissue samples. For all its opportunities, though, there are significant — and valid — concerns around output accuracy, transparency, integration, data privacy, ethics, bias and regulatory compliance, among others. “The integration of AI into healthcare is not just an evolution but a revolution that holds the promise of significantly enhancing patient care, operational efficiency and medical research,” Timothy Bates, clinical professor of cybersecurity in the College of Innovation and Technology at the University of Michigan-Flint, told VentureBeat. But, he emphasized, “realizing this potential requires addressing substantial challenges.”. Countdown to VB Transform 2024Join enterprise leaders in San Francisco from July 9 to 11 for our flagship AI event. Connect with peers, explore the opportunities and challenges of Generative AI, and learn how to integrate AI applications into your industry. Register Now