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Softwire Tech Stack

Technology transformation consultancy modernizing enterprise infrastructure and AI products

IT Services and IT Consulting London, Greater London 201–500 employees Founded 2000 Privately Held
softwire.com LinkedIn

Softwire is a UK-based technology transformation consultancy (201–500 employees, founded 2000) operating across financial services, insurance, healthcare, media, and energy. The tech stack reveals dual capability: mainstream enterprise infrastructure (.NET, Azure, SQL Server, PostgreSQL) paired with ML/AI tooling (PyTorch, TensorFlow, SageMaker, Databricks, MLflow). Active hiring skews engineering-heavy (11 of 17 roles), with particular emphasis on senior and lead positions, suggesting they're scaling delivery capacity and capability ownership. Projects cluster around AI application (RAG search, document summarization, agent context management) alongside public-sector service modernization, indicating a strategic push into both generative AI and government digital transformation.

Tech Stack 36 technologies

Core StackC# .NET Snowflake Python PyTorch TensorFlow scikit-learn MLflow SageMaker Databricks Kotlin Java Spring AWS Terraform Swift Jetpack Compose PostgreSQL SQL Server Jira Power Platform Codex Keras Azure Machine Learning Thymeleaf Android Blazor Entity Framework Core Azure iOS+5 more

What Softwire Is Building

◆Challenges

  • Ai capability to maintainable software
  • Ai curiosity to production solutions
  • Meeting government service standard
  • Building inclusive accessible services
  • Scaling bid function
  • Streamlining bid processes
  • Improving bid win rate
  • Meeting revenue target
  • Meeting gross margin target
  • Migrating legacy excel workflows

▲Active Projects

  • Rollout of a new public-facing service
  • Rag-based search
  • Document summarisation
  • Ai agent context management
  • Support public sector clients to meet government service standard
  • Build inclusive accessible services
  • Centralised bid document database
  • Automation of bid preparation
  • Training program for presales
  • Rollout of a new vod service for a major media organisation

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
11
Data
2
Sales
2
Design
1
Executive
1

Seniority

Senior
5
Lead
4
Mid
4
Principal
2
Director
1
Junior
1

Notable leadership hires: Sector Director

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About Softwire

Softwire delivers custom software, digital transformation, and AI engineering to mid-to-large enterprises and public-sector organizations. The firm operates from four offices (London, Cambridge, Manchester, Bucharest) and combines bespoke software development, DevOps, mobile/app development, and product design with data engineering and AI capability. Current workstreams include rollouts of new consumer-facing services (including a VOD platform for a major media organization), implementation of RAG-based search and document summarization for client workflows, and support for government bodies meeting digital service standards. The company explicitly addresses internal scaling challenges around bid automation, gross margin, and operationalizing AI from prototype to production.

HeadquartersLondon, Greater London
Company Size201–500 employees
Founded2000
Hiring MarketsRomania, United Kingdom

Frequently Asked Questions

What technology stack does Softwire use?

Softwire uses C#/.NET, Azure, SQL Server, and PostgreSQL for enterprise backend work; Python, PyTorch, TensorFlow, SageMaker, and Databricks for AI/ML; and Swift, Kotlin, Android, and iOS for mobile. AWS is also actively used alongside Azure.

What is Softwire working on?

Current projects include RAG-based search, document summarization, AI agent context management, rollout of a new VOD service for a major media client, support for public-sector digital service standards, bid automation, and training for presales teams.

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How this profile is built

Softwire's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.