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Work

Systems we have built.

CRM and sales automation, cloud security, SaaS products and conversational AI. We describe each client by the work they asked us to do. Names appear only where the client has agreed.

  1. 01 · A commercial driving academy

    Lead management and sales automation

    • Zoho CRM
    • Deluge
    • Workflows
    • APIs
    • Webhooks
    • Automation
    • Integrations

    The problem

    The sales team was handling lead follow-ups manually, which made it difficult to respond quickly and consistently to new leads.

    What we built

    A complete lead-flow system in Zoho CRM that automated lead assignment, follow-ups, messages, status management and other sales activities.

    Result

    • Reduced speed-to-lead significantly
    • Automated repetitive follow-up activities
    • Improved consistency in lead handling
    • Helped increase sales and sign-ups
    • The business reached its highest monthly sign-up volume of the year after the system was implemented
  2. 02 · A US developer-tools company

    A SaaS product, from first release to SOC 2

    • Python
    • React
    • Stripe
    • Auth0
    • Amazon ECS
    • AWS Bedrock
    • Terraform
    • GitHub Actions

    What we built

    • The backend, the web app, plugins for VS Code and JetBrains, and a Homebrew package
    • Subscription billing on Stripe, with sign-in through Auth0
    • The move from Heroku to AWS, on ECS with RDS and ElastiCache, and the CI/CD pipelines behind it
    • A GitHub App for replaying pull requests, AI-generated summaries on AWS Bedrock, and daily stand-ups posted to Slack
    • An on-premises edition, deployed with Terraform
    • SOC 2 Type I and Type II, with penetration testing arranged along the way
  3. 03 · Self-service kiosks in financial services

    Certificate-based security for a kiosk fleet

    • Amazon EKS
    • Helm
    • GitHub Actions
    • Mutual TLS
    • CloudFront
    • API Gateway
    • ACM
    • CloudWatch

    What we built

    • The platform the kiosks talk to, running on Amazon EKS and deployed with Helm and GitHub Actions
    • Mutual TLS between every kiosk and AWS, set up across CloudFront, API Gateway and ACM, so each device proves its identity with its own certificate
    • Log monitoring and alerting on CloudWatch, Lambda and SNS
  4. 04 · A real estate business

    Lead-to-contract sales system

    • Zoho CRM
    • Workflows
    • Document and signature integrations

    The problem

    The sales process involved manually managing leads, follow-ups, contracts and signatures across different steps.

    What we built

    A centralised sales system where the team could manage the whole process from one place: lead intake, follow-ups, deal management, contract sending and signing.

    Result

    • Reduced manual work
    • Reduced the time spent managing deals
    • Made follow-ups easier to manage
    • Centralised the contract and signing process
    • Gave the team better visibility into every deal
  5. 05 · A Zoho-based system

    Quotation management system

    • Zoho
    • Custom functions
    • Workflows
    • Quotation automation

    The problem

    Creating quotations manually and entering the same information repeatedly was taking unnecessary time.

    What we built

    A Zoho-based system where quotes could be created, managed and tracked in one place, removing the need to prepare and enter the same information by hand each time.

    Result

    • Reduced repetitive manual data entry
    • Reduced the time required to create quotations
    • Made quotation management easier
    • Centralised the quotation process
    • Reduced the need to recreate the same information
  6. 06 · Business integrations

    Data synchronisation and analytics

    • Zoho APIs
    • REST APIs
    • Webhooks
    • Deluge
    • Data mapping
    • Integrations
    • Zoho Analytics

    The problem

    Business data was spread across multiple applications, making it difficult to get a unified view and build useful dashboards and analytics.

    What we built

    Integrations between the applications that synchronise data between systems and make it available for centralised reporting and analytics.

    Result

    • Automated data synchronisation between applications
    • Reduced manual data transfer
    • Created a more reliable source for reporting
    • Enabled centralised dashboards and analytics
    • Made business data easier to monitor and analyse
  7. 07 · A multi-channel messaging platform

    Conversational AI across SMS, WhatsApp and Facebook

    • Django
    • RASA
    • Flask
    • Docker
    • Go
    • PostgreSQL
    • Celery
    • Elasticsearch

    What we built

    • One Django platform for managing SMS, WhatsApp, Facebook and web chat conversations
    • Conversational AI on RASA, extended with webhooks, bookings and search over uploaded CSV files
    • Supporting APIs in Flask, containerised with Docker, and a Go module connecting local SMS gateways
  8. 08 · Recruiting software for a US jobs company

    A recruiting platform moved to serverless

    • Flask
    • AWS Lambda
    • GraphQL
    • DynamoDB
    • SQS
    • Twilio
    • Pytest

    What we built

    • Candidate outreach by email, SMS and push notification, with events published to Facebook, Meetup and Eventbrite
    • The application migrated from Web2py to Flask microservices on AWS Lambda, with a GraphQL layer
    • Unit and end-to-end tests across the APIs in Pytest

Start with the seam that is costing you the most.

A first call is a scoping conversation. If there is no system worth building, we will say so.