Natural Conversations On Track

Self-aware, Collaborative AI Voice Agents

Self-Aware AI

The Future of Customer Engagement

Next generation emotional AI

Self-aware AI voice agents use real emotions to build empathy with customers, so they converse for longer, share more information- so our AIs learns faster, perform better.

Conversation within guiderails

Natural exploratory conversations to better understand customer motivations and frustrations - whilst dynamically managing and guiding the conversation pathway.

Human-in-the-loop friendly

Business and customer needs constantly evolve. Optimise human/AI collaboration to keep up with a changing world for better outcomes.

Technology

Self-aware AI

Sociate extends Natural Language Understanding (NLU) models by giving AIs implicit emotions

Our proprietary algorithms leverage research conducted at University of Oxford to integrate best-in-class techniques in deep learning, graph based models and NLP transformers.

Going beyond sentiment analysis, Sociate voice agents are self-aware with their own emotions that are reflected in tone and language, so that customers converse with them for longer instead of abandoning the interaction in frustration when it fails- allowing our AIs to continuously improve on real world data, whilst reducing the burden of manual AI training and labelling.

Seamless Handover

Sociate makes employee<>AI collaboration easy via visual tracking and seamless handover

Our agent console enable employees to easily supervise and track AI agent emotions in real time whilst they converse with customers. This allows contact centre employees to easily identify when an AI agent needs help and take over a conversation before a customer reaches frustration point.

Efficient handover summaries are produced so that employees are fully equipped with the information they need to pick up where the AI drops off and the customer doesn't need to repeat themselves.

Human-in-the-Loop

Sociate reduces labeling tasks and integrates AI training in to contact centre team workflow

Our human-in-the-loop friendly AI training interface is designed so that businesses can integrate AI training into the team workflow and employees can easily train AIs, removing dependence on data scientists and NLU engineers and external labellers.

Using cutting-edge latent space techniques, conversation data and AI training needs are converted into easily understood visualisations. This also provides actionable insights in to the difference between your most and least successful customer conversations, how to optimise conversation pathways and secure better business outcomes.

We have solutions for

Developers
Agencies
Brands
Customer Service Providers
Start-Ups
Innovation Teams

Sociate works with your existing NLP provider

We integrate with your existing infrastructure to enhance customer experience and automate conversation management and AI training

"Sociate’s work to introduce empathetic NLU and put guide rails around intelligent language generation, if successful will unlock the next generation of AI and “the holy grail“."

Vishal Dheiman
Head of Innovation, BBDO

"At RAIN, we believe that creating more emotionally intelligent dialogues between humans and computers is not only a very hard NLP/NLG problem, but one that will underpin the future of conversational technology. What Sociate AI is working on has the potential to enable more complex use cases, where context and nuance can help guide successful conversations with minimal friction and misunderstandings on both sides."

Eric Turkington
Head of Partnerships, Rain Agency
About

Yasmin Topia

CEO of Sociate AI Limited. Commercial lead PWC, Inspire, Adecco. Won and delivered £40m+ in public sector contracts. University of Birmingham.

Claudia Davila Rios

Conversational AI and Applied AI Visionary, Enterprise Bot Expert, Computer Programming Fellow 42 US Silicon Valley. BSc in Economics and Finance.

Luke Robinson

PhD in Quantum Computing from Cambridge. Research Fellow at Oxford. World leading AI/ML, Partner at Post Urban Ventures, CSO Hazy, LGN.

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