The Conversational Data Intelligence Platform

Re:infer unlocks the power of conversational data. We give organisations a new capability to efficiently embed conversational intelligence into their processes, products and services. Making the business more scalable and customer centric.

reinfer.io/explore
Explore learning models with AI guidance

Turn every message into actionable data

Build intelligent products, services and workflows to drive operational scalability and improve the customer experience.

Fully customisable

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.

Inbuilt analytics

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.

Automation tooling

ML Ops, version control, triggers, RPA connectors, automatic model validation.

How the Re:infer Conversational Data Intelligence Platform works

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.

Reinfer connect systems diagram

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.

Example of clusters showing Re:infer reading and highlighting conversational data

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.

Train custom state of the art machine learning models with AI guidance

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.

Monitor Model Performance

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.

93%
Increase in first-time task assignment accuracy
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"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."
Trusted by leading partners

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.

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Prodapt is a Leading communication-focused technology services & operations company, focusing on O/BSS, SDN/NFV, IoT, RPA, telecom consulting, and RIM.

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Symphony is a secure, cloud-based, communication and content sharing platform.

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Mobile Cloud is a leading partner for Blue Prism attended automation solutions globally.

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The Blue Prism Digital Exchange is a marketplace of Intelligent Automation Skills and Best-of-Breed Technologies.

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Deloitte is a multinational professional services network whose data can be leveraged in Re:infer.

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curl -X POST 'https://reinfer.io/api/v1/datasets/org1/collateral/labellers/1/predict' \
    -H "Authorization: Bearer $REINFER_TOKEN" \
    -H "Content-Type: application/json" \
    -d '{
  "documents": [
    {
      "messages": [
        {
          "body": {"text": "Hi Bob,\n\nCould you send me today'"'"'s report?\n\nThanks,\nAlice"},
          "from": "alice@company.com",
          "sent_at": "2011-12-11T11:02:03Z",
          "to": ["bob@organisation.org" ]
        },
    },
  ],
}'
const request = require("request");

request.post(
  {
    url: "https://reinfer.io/api/v1/datasets/org1/collateral/labellers/1/predict",
    headers: { Authorization: "Bearer " + process.env.REINFER_TOKEN },
    json: true,
    body: {
      documents: [
        {
          messages: [
            {
              body: {
                text: "Hi Bob,\n\nCould you send me today's report?\n\nThanks,\nAlice",
              },
              from: "alice@company.com",
              sent_at: "2011-12-11T11:02:03Z",
              to: ["bob@organisation.org"],
            },
          ],
        },
      ],
    },
  },
  function (error, response, json) {
    console.log(JSON.stringify(json, null, 2));
  }
);
import json
import os

import requests

print(
  requests.post(
      "https://reinfer.io/api/v1/datasets/org1/collateral/labellers/1/predict",
      headers={"Authorization": "Bearer " + os.environ["REINFER_TOKEN"]},
      json={
          "documents": [
              {
                  "messages": [
                      {
                          "from": "alice@company.com",
                          "to": ["bob@organisation.org"],
                          "sent_at": "2011-12-11T11:02:03Z",
                          "body": {
                              "text": "Hi Bob,\n\nCould you send me today's report?\n\nThanks,\nAlice"
                          },
                      },
                  ],
              },
          ],
      },
  ).json()
)
{
  "labels": [
    [
      {"name": ["Request"], "probability": 0.93},
      {"name": ["Request", "Report"], "probability": 0.91}
    ],
  ],
  "entities": [
    [
      {
        "kind": "person",
        "formatted_value": "Bob",
        "span": { "content_part": "body", "utf16_byte_start": 3, "utf16_byte_end": 5 }
      }
      {
        "kind": "date",
        "formatted_value": "2011-12-11",
        "span": { "content_part": "body", "utf16_byte_start": 27, "utf16_byte_end": 31 }
      },
    ],
  ],
  "status": "ok"
}
Built for Builders

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.

Scalable architecture

Our declarative, resilient and enterprise-grade platform scales with your organisation.

Seamless integration

Connect existing systems to import your communications and output structured data or use our API directly.

Colleagues looking at screen code in office

We enable you to understand each message in real time, and use the insights to drive efficiency

Optimise the customer experience

Give every team the insights they need to make the best decisions. Re:infer turns conversational data into easy to interpret and report structured data.

Increase operational scalability

Automate transactional conversational service work. Re:infer integrates with conversational channels and triggers processes in existing systems.

Increase the ROI on digital transformation investments

Enable builders to quickly develop NLP enabled products and services. Re:infer makes creating, deploying and managing bespoke NLU models on conversational data fast and easy.

Build intelligent products, services
and workflows

Increase operational scalability and optimise the customer experience with Re:infer’s Conversational Data Intelligence Platform.