Questions? We Have Answers.

Three things set us apart:

Senior expertise: You work directly with experienced consultants, not junior developers learning on your project. Every person on your account has 10+ years of industry experience.

Business-first approach: We start with your goals, not the technology. Every recommendation ties back to measurable business outcomes.

Transparent communication: No account managers creating distance. No jargon hiding complexity. Just clear, honest communication about progress, challenges, and trade-offs.

We offer both project-based and retainer pricing depending on your needs:

Fixed-price projects: For well-defined scopes with clear deliverables. You know exactly what you will pay before we start.

Time and materials: For projects where requirements may evolve. You pay for the time spent, with regular reporting and no surprises.

Monthly retainers: For ongoing support, maintenance, and incremental development. Predictable costs with priority access to our team.

Every proposal includes a detailed breakdown of costs, assumptions, and what is included. No hidden fees, ever.

Absolutely. While we are based in Nottingham, we serve clients across the entire UK. We work remotely by default, but are happy to travel for workshops, kick-off meetings, or important milestones when needed.

Our clients are in London, Manchester, Birmingham, Edinburgh, and everywhere in between. Modern collaboration tools make remote work seamless, and we have refined our processes to ensure clear communication regardless of location.

Timelines vary based on scope and complexity, but here are typical ranges:

AI proof of concept: 4-8 weeks

DevOps transformation: 6-12 weeks

Web application (MVP): 8-16 weeks

Mobile application: 12-20 weeks

We will provide a detailed timeline in our proposal, including milestones and dependencies. We also offer phased delivery, so you can start seeing value before the entire project is complete.

Yes, and we strongly recommend it. Technology is not "set and forget." We offer several support options:

Maintenance retainers: Monthly agreements covering bug fixes, security updates, and minor enhancements.

Ad-hoc support: Pay-as-you-go for occasional needs, billed in half-day increments.

24/7 critical support: For business-critical systems, we offer round-the-clock emergency response.

All support clients get priority scheduling and direct access to our team via Slack, email, or phone.

Absolutely. Our AI strategy consulting is designed exactly for this situation. We will:

1. Assess your current processes and identify high-value opportunities for AI

2. Evaluate data availability and quality (AI is only as good as the data it learns from)

3. Estimate potential ROI and implementation complexity

4. Provide a clear roadmap prioritising quick wins alongside strategic initiatives

Sometimes the right answer is "not yet" or "not this use case." We will tell you honestly if AI is not the right fit for your current situation.

Data security is paramount in everything we do. For AI projects specifically:

Private deployments: We can deploy AI systems entirely within your infrastructure, so sensitive data never leaves your environment.

Data anonymisation: When external AI services are used, we implement techniques to anonymise or pseudonymise data before processing.

GDPR compliance: All our AI implementations are designed with privacy by design principles, including data minimisation, purpose limitation, and audit trails.

Security reviews: We conduct thorough security assessments of AI vendors and implement appropriate access controls and monitoring.

RAG stands for Retrieval-Augmented Generation. It is a technique that combines AI language models with your own data sources to provide accurate, contextual responses.

Instead of relying on the AI's general training (which can be outdated or wrong), RAG retrieves relevant information from your documents, databases, or knowledge bases, then uses that to generate responses.

Common business applications include:

• Internal search that actually finds what you need

• Customer support bots that give accurate answers about your products

• Document analysis and summarisation

• Knowledge management systems

The key benefit is accuracy. RAG systems give you the power of AI without the risk of hallucinations or outdated information.

It depends on complexity, but here are typical timelines:

Proof of concept: 4-6 weeks. A working prototype demonstrating feasibility and potential value.

Pilot implementation: 8-12 weeks. A production-ready system for a limited use case or user group.

Full rollout: 3-6 months. Enterprise-scale implementation with full integration, monitoring, and support.

We always recommend starting with a proof of concept. It lets you validate the approach and demonstrate value before committing to larger investment.

Yes. While cloud-native DevOps is our sweet spot, we have extensive experience with hybrid and on-premise environments. We can help you:

• Implement CI/CD pipelines that work with your existing infrastructure

• Containerise applications for easier deployment and scaling

• Set up monitoring and observability for on-premise systems

• Plan and execute a gradual cloud migration if that is your goal

Many of our clients have hybrid setups, with some workloads in the cloud and others on-premise. We design solutions that work with your reality, not against it.

We are certified and experienced in AWS, Azure, and Google Cloud. The right choice depends on your specific situation:

AWS: Broadest service offering, largest ecosystem, often best for general-purpose workloads.

Azure: Strong integration with Microsoft products, excellent for enterprise environments already using Microsoft tools.

Google Cloud: Leading AI/ML capabilities, strong Kubernetes support, competitive pricing for compute.

We will assess your requirements, existing tooling, and team skills to recommend the best fit. We are also experienced in multi-cloud strategies when that makes sense.

Disaster recovery is not an afterthought for us. It is built into everything we design:

Backup strategies: Automated, tested, and monitored backups with clear recovery time objectives (RTO) and recovery point objectives (RPO).

Multi-region deployments: For critical systems, we design architectures that can failover to secondary regions automatically.

Infrastructure as Code: Your entire infrastructure is defined in code, so it can be recreated quickly and consistently.

Runbooks and drills: We document recovery procedures and conduct regular disaster recovery exercises to ensure they work when needed.

Absolutely. We regularly collaborate with in-house teams in various capacities:

Staff augmentation: We provide senior developers who work alongside your team, bringing expertise and capacity.

Consulting and advisory: We advise your team on architecture, best practices, and technology choices without taking over development.

Knowledge transfer: We build with your team, documenting and training so they can maintain and extend the system independently.

We are comfortable with whatever level of involvement works best for your organisation. Many clients start with us leading and gradually transition to their own team taking over.

You own everything we create. Full stop.

All code, documentation, designs, and other deliverables are your intellectual property. We use open-source licenses appropriately and ensure you have clear ownership of all custom work.

Throughout the project, you have full access to:

• Source code repositories (GitHub, GitLab, etc.)

• Infrastructure and deployment configurations

• Documentation and runbooks

• Design files and assets

We never hold your code hostage. If you choose to part ways, you have everything needed to continue with another provider or your own team.

Quality is built into our process, not inspected in at the end:

Code reviews: Every line of code is reviewed by another senior developer before merging.

Automated testing: Unit tests, integration tests, and end-to-end tests run automatically on every change.

Static analysis: Automated tools catch potential bugs, security issues, and style violations.

Documentation: Code is documented inline, with architecture decision records (ADRs) for major choices.

Monitoring: Production systems are monitored for errors, performance, and user experience issues.

Yes, legacy modernisation is one of our core specialties. We have helped organisations migrate from:

• Monolithic applications to microservices

• On-premise infrastructure to cloud

• Outdated frameworks to modern tech stacks

• Manual processes to automated CI/CD

We use the strangler fig pattern and other techniques to modernise gradually, minimising risk and business disruption. You do not need a big-bang rewrite. We can modernise piece by piece while keeping the business running.