7 offerings, one accountable team
Each offering below follows the same structure: what it is, who it is for, what is included, how we run it, and the technologies involved. Every one also has its own page for the detail.
End-to-End Software Development
Requirement gathering to cloud cost optimization, under one roof.
A single accountable team that takes your idea from a first conversation through to a running, cost-governed production system. Instead of stitching together a business analyst, an architect, a development shop and a cloud consultant, you get one contract, one delivery plan and one number for what it will cost to build and to run.
Who it is for
- Founders who need an MVP built properly the first time
- CTOs replacing a legacy system without stalling the business
- Product heads whose roadmap is outpacing in-house capacity
- Teams whose cloud bill has grown faster than their user base
What is included
Requirement gathering & business analysis
Structured discovery workshops, process mapping, user stories and a prioritized backlog you can actually sign off on.
Solution architecture & system design
Domain modelling, integration design, data flow and non-functional requirements documented before a line of code is written.
Cloud infrastructure design
Right-sized AWS, Azure or GCP topology with security, availability and scaling boundaries defined up front.
Cost estimation, budgeting & proposal
A written estimate that separates build cost from run cost, with the assumptions behind every line item visible to you.
Agile development & sprint delivery
Two-week sprints, demoable increments, and a burn-up chart you can read without a project management degree.
QA, testing & release management
Automated regression suites, performance testing and a repeatable release process with rollback built in.
Support, maintenance & cost optimization
Post-launch SLAs plus quarterly cloud spend reviews that turn savings back into roadmap capacity.
Our process
- Discover & gather requirements
- Architect & design the cloud
- Estimate & propose
- Build in sprints
- Test & assure quality
- Deploy & optimize
- Support & govern cost
Technologies & tools
- Frontend
- ReactNext.jsAngularTypeScriptTailwind CSS
- Backend
- PythonDjangoFastAPIJavaSpring BootNode.js
- Data
- PostgreSQLMySQLMongoDBRedisElasticsearch
- Cloud
- AWSAzureGoogle CloudTerraformKubernetes
Engagement models
What you get
- One accountable partner from discovery to production
- Build and run costs quoted separately and transparently
- Cloud architecture designed for your budget, not a template
Staff Augmentation & IT Staffing
Vetted engineers from 6 months to 20+ years, deployed fast.
A standing bench of pre-screened engineers you can draw from when hiring cannot move as fast as your roadmap. Every profile is technically assessed and background verified before it reaches you, so the shortlist you receive is a shortlist you can interview.
Who it is for
- Talent acquisition teams with more open roles than pipeline
- Delivery managers covering an unexpected gap mid-project
- Companies testing a new capability before committing to headcount
- Product teams that need to scale a squad for two quarters, not forever
What is included
Every experience band covered
From 6-month juniors for support and QA work, through to 20-year principal architects and delivery heads.
Technical vetting before you see a CV
Structured technical assessment, communication screen and reference checks, so your interview slots are not wasted.
Background verification as standard
Employment, education and identity verification completed on every deployed resource.
Flexible engagement models
Contract, contract-to-hire, dedicated teams and project-based pods, switchable as your needs change.
Broad technology coverage
Full stack, cloud, DevOps, AI/ML, data engineering, QA, UI/UX and project management in one bench.
Replacement guarantee
If a placed resource is not the right fit within the first two weeks, we replace them at no cost.
Our process
- Share your requirement
- Receive a curated shortlist
- Interview & select
- Onboard & deploy
Technologies & tools
- Engineering
- JavaPython.NETNode.jsReactAngular
- Cloud & DevOps
- AWSAzureGCPKubernetesTerraformCI/CD
- Data & AI
- Machine learningData engineeringMLOpsAnalytics
- Delivery
- QA automationManual QAUI/UXScrum mastersProject managers
Engagement models
What you get
- Shortlisted profiles within 3-5 business days
- Background-verified, technically assessed candidates only
- Scale a squad up or down without hiring risk
AI Agent Development
Custom agents that do the work, not just answer questions.
Purpose-built AI agents that take action inside your business: raising tickets, drafting responses, reconciling documents, querying internal knowledge. We design the agentic architecture, connect the tools, and put evaluation and guardrails in place so the agent is measurable rather than merely impressive.
Who it is for
- Support leaders drowning in repetitive tier-one tickets
- Operations teams doing high-volume document processing by hand
- Sales teams that need a qualification assistant on live data
- Engineering leaders building an internal copilot over private knowledge
What is included
Agentic architecture design
Task decomposition, planning strategy, memory design and the decision boundary between agent and human.
Tool & function integration
The agent calls your real systems: CRM, ERP, ticketing, internal APIs and databases, with permissions respected.
RAG over your knowledge base
Retrieval pipelines with chunking, embedding and re-ranking tuned to your document set, plus citation of sources.
LLM orchestration & model choice
Model selection and routing balanced across quality, latency and cost, with fallbacks when a provider degrades.
Guardrails & evaluation
Prompt-injection defences, output validation, escalation paths and a regression suite that scores every change.
Observability & cost control
Token-level tracing, per-conversation cost reporting and alerting when behaviour or spend drifts.
Our process
- Qualify the use case
- Design the agent
- Prototype & evaluate
- Harden & integrate
- Deploy & operate
Technologies & tools
- Models
- OpenAIAnthropic ClaudeGoogle GeminiLlamaMistral
- Frameworks
- LangGraphLlamaIndexModel Context ProtocolSemantic Kernel
- Retrieval
- pgvectorPineconeWeaviateElasticsearchHybrid search
- Operations
- LangSmithEvaluation harnessesGuardrailsOpenTelemetry
What you get
- Agents that call real systems, not demos on static data
- Evaluation scores before and after every prompt or model change
- Per-conversation cost visibility from the first day in production
AI/ML Solutions & Data Engineering
Models that reach production, and stay useful there.
End-to-end machine learning delivery: the data engineering that makes modelling possible, the modelling itself, and the MLOps that keeps a model accurate months after launch. We are as interested in the pipeline and the monitoring as in the model architecture, because that is where most ML projects quietly fail.
Who it is for
- Businesses sitting on data they have never turned into a decision
- Teams with a notebook prototype that cannot reach production
- Companies whose deployed model has silently drifted
- Enterprises evaluating generative AI for a concrete workflow
What is included
Predictive analytics & forecasting
Demand, churn, risk and capacity models validated against a business metric, not just a validation score.
Natural language processing
Classification, extraction, summarisation and search over documents, tickets and conversations.
Computer vision
Detection, classification, OCR and quality inspection pipelines tuned for your imaging conditions.
Recommendation systems
Collaborative and content-based recommenders with online evaluation and cold-start handling.
Data pipeline engineering
Ingestion, transformation, feature stores and data quality checks that make modelling repeatable.
MLOps & monitoring
Versioned datasets and models, automated retraining, and drift detection with alerting.
Our process
- Frame the business problem
- Assess & engineer data
- Model & validate
- Deploy to production
- Monitor & retrain
Technologies & tools
- ML
- PyTorchTensorFlowscikit-learnXGBoostHugging Face
- Data
- Apache AirflowdbtSparkKafkaSnowflakeBigQuery
- MLOps
- MLflowKubeflowSageMakerVertex AIFeature stores
- Generative AI
- Fine-tuningRAGEmbeddingsEvaluation harnesses
What you get
- Models measured against a business metric, not only accuracy
- Pipelines that survive schema changes and late data
- Drift detection so degradation is caught before users notice
Custom Software Development
Software shaped around your process, not the other way round.
Application development for the workflows that off-the-shelf software cannot accommodate. Where our end-to-end service leads with lifecycle and cost governance, this is the delivery capability itself: the web, mobile, enterprise and SaaS applications we build.
Who it is for
- Teams running a critical process on a spreadsheet
- Businesses paying for a SaaS product they use 20% of
- Companies whose systems do not talk to each other
- Founders building a product that has to scale from day one
What is included
Web applications
Responsive, accessible applications with server-side rendering where SEO or first-paint matters.
Mobile applications
Native and cross-platform apps with offline capability and app store release management.
Enterprise & internal tools
Admin consoles, operations dashboards and workflow tools that replace spreadsheet processes.
SaaS products
Multi-tenant architecture, subscription billing, role-based access and tenant-level observability.
API & integration development
REST and GraphQL APIs, event-driven integration and connectors between systems that were never designed to meet.
Modernisation & re-platforming
Incremental migration off legacy systems using the strangler pattern, with no big-bang cutover.
Our process
- Map the process
- Prototype the interface
- Build iteratively
- Integrate & migrate
- Launch & drive adoption
Technologies & tools
- Web
- ReactNext.jsAngularVueTypeScript
- Mobile
- React NativeFlutterSwiftKotlin
- Backend
- DjangoFastAPISpring BootExpress.NET
- Integration
- RESTGraphQLgRPCKafkaWebhooks
Engagement models
DevOps Services
Ship more often, break less, sleep better.
The engineering practice that turns deployment from an event into a routine. We build the pipelines, codify the infrastructure, instrument the system and hand over runbooks, so your team can release confidently on a Friday afternoon.
Who it is for
- Teams where releases are manual, rare and stressful
- Companies whose infrastructure exists only in someone's memory
- Engineering leaders with no reliable answer to 'is it down?'
- Organisations adopting Kubernetes without in-house depth
What is included
CI/CD pipeline design & automation
Build, test, security scan and deploy pipelines with environment promotion and one-click rollback.
Infrastructure as code
Terraform or CloudFormation modules, peer-reviewed and versioned like application code.
Containerisation & orchestration
Docker images tuned for size and startup, Kubernetes manifests, Helm charts and autoscaling policy.
Monitoring, logging & tracing
Dashboards, distributed tracing and alerts tied to symptoms users feel rather than raw CPU graphs.
Site reliability engineering
SLOs, error budgets, incident response runbooks and blameless post-incident reviews.
Security & compliance automation
Secrets management, dependency and image scanning, and policy-as-code in the pipeline.
Our process
- Assess the current state
- Codify infrastructure
- Automate delivery
- Instrument & observe
- Enable your team
Technologies & tools
- CI/CD
- GitHub ActionsGitLab CIJenkinsArgo CDAzure DevOps
- IaC
- TerraformCloudFormationPulumiAnsibleHelm
- Containers
- DockerKubernetesEKSAKSGKE
- Observability
- PrometheusGrafanaDatadogOpenTelemetryELK
What you get
- Deployment frequency measured in days, not quarters
- Every environment reproducible from version control
- Alerts tied to user-visible symptoms, not noisy metrics
Cloud Services & FinOps
Migrate with confidence, then stop overpaying.
Cloud work that continues after the migration is signed off. We design and move the workload, then stay involved in what it costs to run it, because a migration that doubles your infrastructure bill has not actually succeeded.
Who it is for
- Businesses moving off on-premise or a colocation contract
- Teams whose cloud bill grows faster than their traffic
- Companies facing a security or compliance audit
- Organisations running multi-cloud without a strategy for it
What is included
Cloud strategy & migration
Workload assessment, migration waves and a cutover plan with rollback at every step.
Cloud architecture design
Landing zones, network topology, identity boundaries and multi-account governance.
Security & compliance
Least-privilege IAM, encryption in transit and at rest, audit logging and compliance guardrails.
Cost estimation before you commit
A modelled monthly run cost per environment, so budget conversations happen before the invoice does.
Ongoing cost optimization (FinOps)
Right-sizing, commitment planning, storage tiering and idle resource elimination, reviewed quarterly.
Managed cloud operations
Patching, backup verification, disaster recovery testing and 24/7 monitoring options.
Our process
- Assess workloads
- Design the target
- Model the run cost
- Migrate in waves
- Optimize continuously
Technologies & tools
- Platforms
- AWSMicrosoft AzureGoogle Cloud Platform
- Migration
- AWS MGNAzure MigrateDatabase Migration Service
- Governance
- Control TowerLanding zonesService Control Policies
- FinOps
- Cost ExplorerSavings PlansReserved instancesKubecost
What you get
- A modelled run cost agreed before migration begins
- Quarterly savings backlog with effort and impact scored
- Compliance guardrails enforced in code, not in a policy document
Not sure which service you need?
Describe the problem rather than the solution. We will tell you which offering applies, or that none of them do.