The Conversational Data Intelligence Platform
Re:infer, a UiPath company, turns conversations into structured data for analysis and automation. We give organisations a centralised NLP capability to drive visibility, efficiency and operational scalability. Making the enterprise more agile and customer centric.
Mine, monitor and automate every message
Rapidly deploy AI models that turn any message into actionable data - at speed, at scale, on any channel.
Create bespoke machine learning models that extract the specific intents, entities, themes and emotions your business needs.
Fast model development
Zero code training UI, automatic intent discovery, guided active training, automatic model validation, model lifecycle management.
Easy to integrate
Pre-built integrations for all leading enterprise communications platforms. Strong APIs. Connectors for Workflow and RPA.
Mine communications and build customisable dashboards - aggregate, query and chart.
Real-time monitoring and alerts
Configurable dashboards, email alerts and reports tracking specific themes and intents.
ML Ops, version control, triggers, RPA connectors, automatic model validation.
Train and deploy machine learning models on conversational data in hours in a zero-code interface
Connect Re:infer to pre-existing conversational channels
Use one of our pre-built connectors, build an API integration or upload historic data via CSV.
Quickly identify the high volume processes and request
Re:infer’s unsupervised and semi-supervised deep learning models read through historical data and automatically identify repetitive processes, requests and issues.
Re:infer’s unsupervised learning continuously retrains to find new and interesting communications.
Train custom state of the art machine learning models with AI guidance
Re:infer’s training user-interface gives business SMEs (Subject Matter Experts) all the tools they need to create custom, accurate machine learning models in minutes not months. Training UI, guided active learning, state of the art language models, data efficient learning and fast model training.
Gain powerful insights through in-app analytics
Each message is converted into structured data in real time. Enabling processes, requests and issues to be identified, quantified and tracked.
Inbuilt analytics and reporting provide historical and real-time insights on communications channels.
Continuously monitor model performance and drift on new data
Re:infer continuously tests model performance in real time. As the data is annotated, the models are measured for coverage, accuracy, training inconsistencies and labelling bias. Next best training actions are recommended. Full model version control. Accessible in the UI and API.
Take automatic actions and trigger processes in response to messages in real time
Re:infer’s predicted annotations are available via API for driving automation in other systems.
Zero-code API endpoint configuration makes it simple to trigger downstream processes. With an active feedback loop, Re:infer also learns from exceptions and continuously improves.
"We completely shifted our collective mindset on what productivity looks like. People used to think it was defined by how many tasks they completed in a day. Now, they see it as how much value they add in a day."
We partner with the world's leading technology providers and consultancies
From technology providers to leading implementation and consulting companies, the Re:infer partner ecosystem is used by enterprises to achieve their digital transformation goals.
Prodapt is a Leading communication-focused technology services & operations company, focusing on O/BSS, SDN/NFV, IoT, RPA, telecom consulting, and RIM.
Symphony is a secure, cloud-based, communication and content sharing platform.
Mobile Cloud is a leading partner for Blue Prism attended automation solutions globally.
Deloitte is a multinational professional services network whose data can be leveraged in Re:infer.
UiPath is a global software company that develops a platform for robotic process automation.
Seamless integration with your stack
Build and deploy your own high-quality machine learning models on conversations in minutes. No machine learning expertise required.
Re:infer supports a flexible data model with first-class support for email, tickets, feedback, chat or phone calls. There is an easy to use API and developer tools for common tasks. We serve millions of production requests every day.
Leading enterprises globally trust Re:infer to analyse and automate their communications
Secure and compliant
We are ISO 27001:2013 certified for best practice in information security management. We impose strict standards on our data management protocols.
Zero-code model training
Re:infer’s intuitive training UI and suggested next best actions improve model accuracy and minimise human effort.
Our declarative, resilient and enterprise-grade platform scales with your organisation.
Connect existing systems to import your communications and output structured data or use our API directly.
We enable you to understand every message in real time, and use the insights to drive efficiency
Enhance the customer experience
Give every team the insights they need to make the best decisions. Re:infer turns conversational data into accurate, easy to interpret and report customer data.
Increase operational scalability
Automate manual service and operations work. Re:infer integrates with all communication channels and triggers automation in existing systems.
Boost the ROI of digital transformation
Empower any employee to quickly build AI-enabled products and services. Re:infer makes creating, deploying and managing bespoke NLP models on conversational data fast and easy.