Supercharge

The company combines Behaviour Science-based design with data and AI-focused technical expertise. Its stated values include curiosity, striving for greatness, and making things happen. Supercharge is committed to the UN Sustainability Goals, operates as a carbon-neutral company, and supports charitable causes.

Offices

• 2–4 Rufus Street, Second Floor, N1 6PE London
• 33 Nassau Ave, Second Floor, 11222 Brooklyn, NY
• Fred. Roeskestraat 115, Edge Olympic, 1076 EE Amsterdam
• Ruoholahdenkatu 21, 00180 Helsinki, Finland
• Czuczor u. 2, Third Floor, 1093 Budapest
• Leopold-Ungar-Platz 2/1/2, 1190 Wien

• Agentic AI strategy: Identify high-value opportunities, build the business case, and create a practical blueprint that considers compliance, technical feasibility, and operational change.
• AI-augmented process optimisation: Analyse current workflows, identify pain points, and redesign processes for greater productivity, augmentation, and automation.
• Human-centred AI design and interfaces: Design effective collaboration between people and AI, including human-in-the-loop mechanisms, verification, and trust-focused employee experiences.
• Agentic workflow engineering: Combine traditional software, intelligent automation, and LLM-powered components using decision constraints, retrieval-augmented generation, guardrails, automated evaluation, observability, and human oversight.
• Voice AI agent systems: As an official ElevenLabs partner, Supercharge builds voice agents for customer care, business development, training, and fieldwork support. These systems can integrate with backend systems and RAG to resolve workflows autonomously.
• Data engineering and system integration: Connect agentic systems securely to enterprise tools and data using MCP server patterns, while building data pipelines and foundations where needed.
• Cybersecurity for AI systems: Apply least-privilege principles, threat modelling, red-teaming, and continuous monitoring to protect AI systems against prompt injection, jailbreaks, and data poisoning.
• Agentic AI operations and monitoring: Use observability, automated evaluation, cost monitoring, versioning, audit trails, and human escalation procedures to keep systems dependable after launch.

Supercharge designs AI-enabled workflows with attention to compliance, governance, human accountability, and measurable productivity and quality gains.

Supercharge provides interconnected, end-to-end services to guide clients from an idea to a successfully growing digital product. Its technology, data, and design teams collaborate closely throughout product development.

Product strategy

• Digital transformation strategy
• Product discovery
• Rapid prototyping
• Technology strategy
• Data strategy
• AI roadmap development

Product design

• User experience design
• UI design and design systems
• Service design
• Behavioural design
• User research
• Branding
• Analytics-driven product optimisation
• Product experience audits

Software engineering

• Web frontend development
• Mobile app development
• Backend services
• IoT app development
• System integration
• Cloud solutions
• Legacy modernisation
• Test automation and quality assurance

Data and ML engineering

• Cloud data platforms
• Business reporting applications
• Machine learning solutions
• Data science
• Cloud data migration
• AI-ready data foundations

Managed services

• L1, L2, and L3 support
• Product maintenance
• DevOps
• Cloud infrastructure
• Cloud migration
• Cloud optimisation

Supercharge also offers agentic AI advisory and AI engineering, including AI agents, AI engineering, human and AI interaction, agentic AI strategy, and voice AI agents.

Supercharge's managed services support the full lifecycle of software and data applications, helping clients maintain reliable availability, performance, security, and compliance. The services are designed to reduce the operational burden on internal IT teams.

Services

• L1, L2, and L3 support: Configurable combinations of B2B customer helpdesk, infrastructure support, and application support.
• Product maintenance: Ongoing maintenance to keep software performant, secure, and up to date as environments evolve.
• DevOps: Efficient DevOps processes, automated CI/CD pipelines, scalable infrastructure, and intelligent monitoring.
• Cloud infrastructure: Design, build, and management of secure, cost-effective cloud environments. Supercharge works with AWS, Microsoft Azure, and Google Cloud.
• Cloud migration: Migration strategy, data and application migration, post-migration testing, and cloud-environment optimisation.
• Cloud optimisation: Architecture assessment and tailored improvements intended to reduce costs and improve application performance and security without disruption.

Supercharge's managed-services approach includes proactive maintenance, performance management, infrastructure-cost control, and support operations. The company states that it is SOC 2 and ISO 27001 certified and has experience supporting highly regulated sectors, including critical infrastructure.

• Cloud data platforms: Design and implement data lakes, lakehouses, and data mesh architectures tailored to organisational needs.
• Business reporting applications: Build dashboards and data-access tools tailored to user groups and focused on actionable insights.
• Machine learning solutions: Develop recommendation, forecasting, prediction, and optimisation solutions based on business use cases.
• LLM application development: Build smart agents, data-processing solutions, and chatbots using RAG, systematic evaluation, and guardrails.
• User analytics: Create measurement plans, implement tracking, build dashboards, and provide data-driven product optimisation recommendations.
• Cloud data migration: Plan and execute secure migrations, including infrastructure cost assessment, validation, query-performance improvements, and ongoing cloud-cost optimisation.

Supercharge approaches data solutions as products, considering users' needs and daily workflows. It builds robust infrastructure and data foundations before applying automation and improved decision-making to business operations. Data services are designed to support regulated industries, including energy, finance, and healthcare.