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AI AGENTS your experts can trust matter

Judgment, intuition, and instinct - distinctly human traits which your most valuable experts use to make critical decisions daily, but traditionally rely on labor-intensive processes that don't scale. By collaborating with Agentic AI, experts can review hallucination-free insights and reports - gathered and analyzed in minutes - instead of days or weeks. 

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AI-AGENTS-Observes
Characteristics

Observes

Agentic AI continuously monitors its environment, collecting and processing vast amounts of data from multiple sources to maintain an up-to-date understanding of the situation.

Continuous Monitoring

AI Agents actively and continuously monitor their environment, collecting and processing vast amounts of data from multiple sources to maintain an up-to-date understanding of the situation.

MUlti-Source Integration

They also gather information from various inputs, including multimodal customer interactions, enterprise databases, IoT devices, websites, and social media, allowing agents to identify relevant features and observe data in real-time.


Characteristics

Understands

By analyzing collected data and recognizing patterns, AI agents gain deep insights into complex scenarios, forming a comprehensive understanding of the context and challenges at hand.

Contextual Understanding

Agentic AI dynamically assesses situations and adapts actions based on real-time inputs and evolving objectives. This capability allows them to interpret information in the context of user history, emotional cues, and situational factors, enhancing the relevance and accuracy of their responses.

Pattern Recognition and anomaly detection

Agentic AI understands trends, recognizes unusual behaviors, and extracts meaningful insights from large volumes of information, enhancing its ability to comprehend complex situations and make informed decisions.

AI-AGENTS-Understands

AI-AGENTS-Decides
Characteristics

Decides

Engage with an AI agent that can process vast amounts of information, evaluate multiple options, and make informed decisions. Our agentic AI considers various factors and potential consequences before choosing the best course of action.

Advanced reasoning

Using sophisticated decision-making frameworks, Agentic AI can combine insights from machine learning and natural language processing to make informed choices. By evaluating various outcomes, considering trade-offs, and using ground truths, agentic AI systems can autonomously determine the best course of action in complex scenarios, ensuring that decisions align with intentions and goals without hallucination.

Probabilistic models

Assess the likelihood of different outcomes based on available data. This enables the AI to make informed decisions even in uncertain environments, weighing multiple factors and potential consequences before selecting the optimal action


Characteristics

Acts

Once a decision is made, AI agents can implement solutions, initiate actions, and adapt their strategies in real-time. This proactive approach allows for faster response times and more efficient resource allocation.

Workflow

Execute complex, multi-step workflows with or without a human in the loop. 

collaboration

The output an expert or individual AI agents need to make critical decisions can take many forms (artifacts, reports, a workflow, etc.). Collecting real-time feedback and iteration is essential to crafting trustworthy results.

AI-AGENTS-Acts

AI Virtual Agents

Advanced Virtual Assistants for your website or app without a script
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AI Voice Agents

Speak to users with natural, human-like conversation in any language
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Customer-Service
Customer Service

Help customers achieve their goals by having a conversation with an AI agent that embodies your brand persona on any channel, language, or device.

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Help Desk

Employees can have conversations with an AI agent to ask about company policies, payroll, and expenses, get IT support, and more.

co-pilot
Co-Pilots

Boost employee productivity and satisfaction by automating tasks, providing insights from data, and enabling faster decision-making.

KNOWLEDGE-EXTRACTION

knowledge extraction

Acquire and activate the knowledge within your enterprise to train and enable your AI agent. Deliver personalized data and insights from any source throughout a conversation.

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dialogue &  reasoning

Neuro-symbolic AI helps your AI agents to understand and engage in natural, empathetic conversations with your end-users to detect their intentions & generate dialogue in real-time to help them achieve their goals. 

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MULTIMODAL--INTERACTION

multimodal interaction & understanding

Multimodality is required to understand 'human'. Humans convey emotion, intention, and meaning by combining text, speech, gesture, vision, and touch together in a conversation.

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EMOTION-PERSONALITY

EMOTION & PERSONALITY

Define your brand persona and embody it within your AI agent's behavior. Leverage and understand multimodal user inputs to render empathetic multimodal output in real time.

EXPLAINABLE-TRANSPARENT

EXPLAINABLE & TRANSPARENT

We can answer 'why?'. Our plan-based dialogue system explains its actions upon request and can tell users proactively the reason for the system's upcoming actions. 

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ENTERPRISE-ORCHESTRATION

ENTERPRISE ORCHESTRATION

Multiple AI disciplines, methodologies, and tools are required to realize the full potential of enterprise Conversational AI. Use any Foundation model you need to achieve your goals.

 

Insights on conversational ai

We are proud to share some of the recent analyst reports and blogs

Nasdaq TradeTalks
OPENTREAM.AI'S CEO RAJ TUMULURI INTERVIEW ON NASDAQ TRADETALKS

Watch Raj Tumuluri, CEO & CTO of Openstream.ai, on Nasdaq's TradeTalks with other AI leaders having a roundtable discussion about 'How AI is Transforming Their Sectors to Super Serve a Broader Customer Range' with host Jill Malandrino...

WATCH
An interview discussing reasoning in artificial intelligence, LLMs, and hallucinations-3
What is Reasoning in AI?

A Conversation with an AI Expert

We had a chance to sit down with Dr. Lucian Galescu, Openstream.ai's Director of Dialogue Research, to ask him about Reasoning in Artificial Intelligence, LLMs, and...

 
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Multimodality-1
WHAT IS MULTIMODAL CONVERSATIONAL AI?

Entrusting your brand’s reputation to virtual agents that are brought to life through AI can be a leap of faith for many organizations. Like all technologies before it, your personal experiences as an end-user, and what you’ve heard from trusted colleagues or read from publications set...

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