IT services
Architecture, integration, cloud/server infrastructure, DevOps, commerce engineering, custom software, and supportable delivery.
Engineering-led technology partner
Build AI systems, cloud infrastructure, and commerce platforms around the way your business operates.
Kubto combines reusable product foundations with custom engineering across data, applications, servers, cloud environments, and commerce platforms—from architecture and integration through dashboards, deployment, and handover.
Product or custom foundationArchitecture through handoverCommerce-specialist context
How Kubto works
IT services and product foundations, designed as one operating system.
Enterprise buyers should not have to choose between a generic services agency and a rigid SaaS product. Kubto separates reusable product capability from the implementation work that makes it fit the business.
AI products
Reusable foundations such as Kubto Search, Recommendation Engine, Render, dashboards, knowledge systems, and assistant workflows.
Implementation layer
The business-specific work: data mapping, rules, interfaces, workflow design, security, deployment, documentation, and handover.
Operating layer
Dashboards, monitoring, evaluation, cost controls, governance reviews, runbooks, and continuous improvement.
Dashboards
AI products need visible operating metrics.
Kubto dashboards make AI systems easier to evaluate after launch: teams can inspect usage, quality, revenue influence, support deflection, automation volume, crawler visibility, and unresolved risks.
AI operations dashboard
Product, automation, and crawler health in one view
Search revenue
+18.4%
Semantic discovery
Support deflection
31%
Grounded answers
Automation hours
420
Monthly estimate
Crawler coverage
98%
Rendered routes
Product telemetry
Last 30 days
Kubto Search12.8k queries4.2% zero-resultHealthy
Recommendation Engine9.1k impressions11.6% add-to-cartTuning
AI Assistant1.4k sessions22 escalationsHealthy
Kubto Render3.8k crawler hits142ms p50Healthy
Outcome trend
Open risks
3 monitored
Next review
Friday
Evaluation path
Make the buying conversation clear for every stakeholder.
A strong AI and IT services website should help business, engineering, product, security, and procurement teams see what needs to be checked next.
Business owner
Which workflow or revenue metric should improve?
Start with business baseline, owner, risk, adoption path, and success measure.
CTO / architect
How will the system fit our estate?
Review data flows, integration boundaries, cloud/server choices, observability, and failure modes.
Product team
What will users actually operate?
Define dashboard metrics, UI states, feedback loops, governance controls, and iteration cadence.
Procurement / security
What evidence supports approval?
Document scope, assumptions, responsibilities, data handling, acceptance criteria, and support model.
Connected capabilities
AI, infrastructure, and commerce engineering designed together.
The application, data, platform, and operating model affect one another. Kubto can address one layer or coordinate the complete path from use case to production environment.
AI systems & products
Design and implementation for systems that retrieve knowledge, assist users, automate defined work, and improve discovery.
- RAG and knowledge systems
- Agents and workflow automation
- Semantic search and recommendations
Cloud, server & platform infrastructure
The deployment and operating foundation behind AI, commerce, SaaS, and data-intensive applications.
- Cloud and server architecture
- Containers, CI/CD, and observability
- Integration, reliability, and cost controls
Commerce engineering
Specialist engineering across the catalog, storefront, search, integration, and operational layers of digital commerce.
- Magento and Adobe Commerce
- Shopify and headless storefronts
- APIs, performance, SEO, and rendering
Configurable product capabilities
Product foundations without a one-size-fits-all implementation.
Kubto products provide a defined starting point. Implementation covers the business-specific data, rules, user experience, integrations, deployment, and ownership needed around that foundation.
Two visible scopes
Product foundation
Reusable capability, configuration surface, and product-specific integration path.
Implementation layer
Your data, business rules, interfaces, architecture, deployment, and operating plan.
Search & discovery
Kubto Search
A semantic and hybrid search foundation for product catalogs, content, and knowledge, adapted through ranking logic, interfaces, analytics, and platform integration.
Dashboard: QueriesDashboard: Zero-result rateDashboard: Ranking quality
Explore Kubto Search RecommendationsKubto Recommendation Engine
A recommendation foundation for related items, bundles, cross-sells, and personalized placements, configured around available data and business rules.
Dashboard: Placement CTRDashboard: AOV signalDashboard: Rule conflicts
Explore Kubto Recommendation Engine RenderingKubto Render
A rendering foundation for JavaScript applications that need accessible HTML for search crawlers and machine clients, deployed around the application and traffic model.
Dashboard: Crawler hitsDashboard: Render latencyDashboard: Coverage gaps
Explore Kubto Render Buyers & use cases
For teams accountable for both change and operation.
Kubto works best when the business owner and the technical owner can define the problem together. These are common starting points, not fixed solution templates.
Commerce teams
Search and product discovery
Connect catalog data, retrieval, ranking, filters, merchandising rules, and storefront experience.
Review the approach Support & knowledge ownersGrounded answers from business knowledge
Retrieve from approved documents, policies, tickets, product data, and internal systems, with a clear path back to a person when the answer is not enough.
Review the approach Product & operations teamsDefined workflow automation
Use agents and automation for repeatable research, enrichment, routing, analysis, and other bounded tasks.
Review the approach CTO & platform teamsApplication and infrastructure modernization
Align application architecture, deployment, integrations, observability, and ownership before adding new workloads.
Review the approachTechnical approach
Concrete artifacts make the work inspectable.
Engagements are organized around decisions and outputs that business, engineering, security, and operations stakeholders can review.
Technology selection
Tools are selected around the existing environment, workload, ownership model, and constraints—not used as substitutes for architecture.
AI layer
Model APIs, open models, retrieval, search indexes, orchestration, and evaluation
Application layer
Python, Node.js, React, APIs, events, and business-system integration
Commerce layer
Magento, Adobe Commerce, Shopify, headless storefronts, and catalog data
Platform layer
Cloud services, Linux, containers, Kubernetes, CI/CD, and observability
Problem and system definition
A scoped use case, current-state map, data and integration inventory, constraints, success criteria, and decision owners.
Architecture and risk decisions
System and data flows, provider choices, deployment boundaries, security requirements, fallbacks, and human review points.
Implementation and evaluation
Integrated software, representative test cases, quality checks, operating budgets, and measurable acceptance criteria.
Launch and ownership plan
Environment and release plan, monitoring design, runbooks, documentation, handover, and a prioritized improvement backlog.
One engagement model
A clear path with decision points at every stage.
Scope can begin with architecture, a focused implementation, or an existing system that needs to be stabilized. The important thing is to keep assumptions, acceptance criteria, and ownership visible.
Discover and decide
Clarify the business case, inspect the current environment, and choose the smallest responsible implementation scope.
Implement and evaluate
Build against real data and integrations, then evaluate the system against agreed technical and operational criteria.
Deploy and improve
Prepare the operating environment, document ownership, release deliberately, and use observed behavior to guide iteration.
Security & deployment
Operating requirements belong in the architecture.
Security, deployment, reliability, and cost are scoped for the actual environment. The useful controls come from the system in front of us, not from a generic diagram.
Data boundaries
Sources, access permissions, retention, provider routing, and sensitive-data constraints are identified before implementation.
Application controls
Authentication, authorization, secrets, approval paths, fallbacks, logging, and rollback requirements are designed into scope.
Deployment operations
Environments, release flow, observability, capacity, cost, backup, and recovery requirements are documented for the chosen platform.
Evaluation and governance
Test cases, review responsibilities, vendor dependencies, failure modes, and acceptance criteria stay visible to decision owners.
FAQ
Questions buyers ask before scoping the work.
What does “product plus implementation” mean?
A Kubto product can provide the starting foundation for search, recommendations, or rendering. Implementation work adapts that foundation to your data, interfaces, platform, operating environment, and business rules. The two are scoped separately so buyers can see what is reusable and what is specific to their system.
Do we need to use a Kubto product?
No. Kubto can implement a product foundation or design a custom system when the workflow, constraints, or existing architecture call for it. Discovery is used to choose the appropriate path rather than forcing every project into the same product.
Can Kubto work with our existing cloud or servers?
Deployment architecture is selected around the current environment and the approved operating model. A scope can account for customer-managed cloud, dedicated server workloads, container platforms, existing CI/CD, and hybrid integrations where those requirements are established during discovery.
Is Kubto only for ecommerce companies?
Commerce is a core specialization, especially where catalogs, search, recommendations, storefronts, and platform integrations matter. The same AI and infrastructure disciplines can also apply to SaaS, internal operations, knowledge systems, and other digital products when the use case and data are suitable.
How are security and compliance handled?
Security requirements are treated as architecture inputs: data access, identity, logging, model or vendor boundaries, human review, fallbacks, and day-to-day ownership. Specific compliance or contractual needs are handled as part of the project scope.
Start a conversation
Bring us the system, workflow, or platform challenge.
Share the outcome you need, the environment you have, and the constraints that matter. We will review the context and suggest a sensible next step.
AI, infrastructure, platform, and commerce context welcome
Architecture and delivery questions can be included
No obligation from the initial enquiry
Prefer email? [email protected]