UK · Pakistan · Customer engagement technology
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Services

Engineering secure, scalable cloud SaaS for CX.

From UI/UX and application development to integrations, data, AI and cloud delivery, we build the software behind connected customer experiences. Our UK and Pakistan teams work across contact-centre platforms and wider customer and employee workflows.

Core services

Six connected service areas.

Our services connect product design, application engineering and cloud operations. Explore the capabilities behind our CX platforms below, or see the solution areas → they support.

01

Software development

We design and engineer cloud SaaS applications, intelligent workspaces and platforms for customer engagement and contact-centre operations.

Our work connects user interfaces, application logic, data and business systems. We shape products around role-relevant workflows, access requirements and the ability to evolve as customer journeys change.

Our development teams use Kiro and Cursor in their day-to-day workflow.

  • Application and product engineering around customer, agent and employee workflows.
  • Streamlined, intuitive interfaces that support agent productivity.
  • API, CRM and backend integrations that connect customer context, tasks and business processes.
  • Data-driven tools that enable more personalised interactions.
  • UI/UX design, interaction design and interactive prototyping to shape agent and customer journeys before build.
  • Security design that considers role-based access and boundaries between customer and business data.
Software development technologies
  • AngularJS
  • JavaScript
  • Node.js
  • PostgreSQL
  • MySQL
  • MongoDB
  • Kiro
  • Cursor

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02

Cloud

We engineer cloud-based CX platforms with scalability, security and ongoing product delivery considered from the start.

Cloud research and development has been part of our work since 2019, including customer-engagement solutions built for Amazon Connect. We connect application workloads, data services and integrations around each platform’s operating requirements.

  • Cloud SaaS application design for changing demand and growing customer operations.
  • Tenant and data isolation, role-based access, and encryption in transit and at rest as security design considerations.
  • Live and legacy interaction-data migration, cloud storage and retrieval.
  • Connections with contact-centre platforms, CRM and backend systems.
  • Operational visibility into application health and CX activity.
Cloud technologies
  • Amazon Web Services
  • Google Cloud
  • Microsoft Azure

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03

DevOps

We connect application development with the build, test, release and operational work needed to evolve cloud SaaS products.

Our DevOps services bring delivery automation and application visibility together. We shape repeatable pipelines around each product’s environments and release needs, helping teams make changes with clear feedback.

  • Build, test and deployment automation to reduce repetitive manual steps.
  • Repeatable delivery pipelines and environment configuration for applications and integrations.
  • Operational visibility through monitoring and reporting of application health.
  • Release checks and ongoing support for product updates and connected-system changes.
DevOps technologies
  • Docker
  • Kubernetes
  • Terraform
  • Ansible
  • GitHub ActionsGitHub mark
  • Jenkins
  • Prometheus
  • Grafana

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04

Agentic AI & Conversational AI

We build agentic workflows and conversational interfaces that connect customer conversations with useful actions across voice and digital channels.

Agentic AI connects multi-step work with tools and business systems; conversational AI provides the natural-language interface. We bring channels and customer context together around your requirements, with approved business knowledge, access boundaries, human-in-the-loop review and escalation to your team when needed.

  • Agent workflows: AI agents that plan and carry out multi-step tasks within agreed permissions and human oversight.
  • Tool and system connections that let agents work with CRM, backend and other business systems.
  • Conversational experiences: digital interfaces for customers and agents, connected with relevant conversation history and customer context.
  • Voice experiences: speech-based interactions built on speech recognition and voice synthesis.
  • Knowledge-grounded assistants using approved business content, policies and customer context.
  • Connected workflows for enquiries, follow-ups and tasks, with human escalation when team input is needed.
Agentic AI & Conversational AI technologies
  • Amazon Bedrock AgentCoreAWS mark
  • LangGraph
  • Strands Agents
  • LangChain
  • Vapi
  • Deepgram
  • ElevenLabs

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05

Conversation Analytics

We build insights across voice and digital conversations, including sentiment analysis and AI-generated interaction summaries.

Explore conversation content and sentiment across the channels relevant to your operations, with speech analytics for voice interactions. Connect those insights with agent context, supervisor review and the wider CX platform.

  • Speech analytics to explore spoken content in voice interactions.
  • Sentiment analysis across voice and digital customer conversations.
  • AI-generated interaction summaries that provide concise overviews for human review.
Conversation Analytics technologies
  • Amazon Bedrock
  • OpenAI
  • Anthropic (Claude)Anthropic mark
  • Google Vertex AI
  • Azure OpenAIMicrosoft Foundry

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06

Data Analytics

We build data foundations and analytical views that provide insight and visibility across customer-experience environments.

From data lakes and pipelines to modelling and presentation, we make CX data usable for analysis. Bring customer, channel and operational data into connected analytical views, with access requirements considered alongside reporting needs.

  • Data lakes to bring customer-experience data together.
  • Data pipelines to move data between contact-centre, CRM and backend systems.
  • ETL — extract, transform and load data for analysis.
  • Data modelling to structure datasets around CX questions and reporting needs.
  • Data presentation through reports, dashboards and visualisations for insights and visibility into CX environments.
Data Analytics technologies
  • Amazon S3
  • Amazon Redshift
  • AWS Glue
  • Amazon Athena
  • Amazon QuickSightAmazon Quick icon
  • Google Cloud Storage
  • BigQuery
  • Dataflow
  • Dataproc
  • Looker
  • Azure Data Lake StorageAzure Storage icon
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Databricks
  • Microsoft Fabric
  • Microsoft Power BI

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Supporting services

Alongside the build.

Discovery

Clarifying customer journeys, integration needs, data boundaries and product requirements before build.

Quality assurance

Checking application behaviour and connected workflows, with feedback before changes move into live use.

Managed support

Ongoing help with application operations, updates and changing integration needs once software is in use.

Have an engineering requirement?

Tell us what you need to build, connect or deploy.

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