Solutions & Packages From your first website to your next business system. Choose the outcome you need. We bring together design, development, AI and implementation around a clear scope, with the option to start small or build a complete solution.
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Choose a complete solution or get help with one part. Start with what you need
One clear outcome before the technical details. From a personal website to a complex business system, choose a starting point that fits your goal. We will confirm the scope, delivery plan and cost before work begins.
Selected outcome
Automate work or use AI Reduce repetitive work or add useful AI with evaluation and human control. Review the starting scopes below, then request a written proposal for your actual requirements.
Pricing approach Public numerical prices are shown only after their scope and commercial terms are approved. Until then, each option uses an honest quotation label. Actual invoice currency, third-party costs, applicable taxes and the final delivery schedule are confirmed in the proposal.
Best for Operations teams with a repeatable process and identified system owners.
Workflow Automation “My team keeps repeating the same manual tasks.”
A bounded workflow that connects suitable tools, decisions and notifications with clear failure handling.
One documented workflow Supported system connections Approval and notification steps Failure handling, testing and staff handover Scoped after workflow review Delivery schedule confirmed after system-access review
View complete starting scope What you receive One documented workflow Supported system connections Approval and notification steps Failure handling, testing and staff handover What we need from you Current workflow and exceptions System access and ownership A reviewer for business rules Not included Unlimited workflows or connectors Provider usage and premium connector fees AI where normal automation is sufficient What affects scope and schedule Integration support Workflow branches Volume, security and approval requirements Optional additions Additional workflow Reporting AI-assisted step with evaluation What happens after launch The workflow is handed over with agreed operating notes and a path for future changes.
Automate a workflow Best for Organizations considering AI but not yet confident which opportunity is viable.
AI Opportunity Assessment “I want to know where AI would actually help my business.”
A practical review of candidate use cases, available evidence, risks and the smallest useful experiment.
Focused stakeholder workshops Candidate use-case and data review Feasibility, risk and architecture recommendation Prototype plan and evaluation criteria Quoted after technical assessment Workshop plan confirmed after use-case review
View complete starting scope What you receive Focused stakeholder workshops Candidate use-case and data review Feasibility, risk and architecture recommendation Prototype plan and evaluation criteria What we need from you Candidate workflows Representative sample data Business owner and technical contact Not included Production AI application Guaranteed accuracy or savings Compliance or legal certification What affects scope and schedule Use-case count Data accessibility Technical and operational risk Optional additions Technical prototype Data-quality review Architecture workshop What happens after launch You receive a prioritized recommendation and can decide whether to prototype, pause or pursue another approach.
Find the right AI use case Best for Teams with useful, approved and text-readable internal documents.
Business Knowledge Assistant “My team needs to find answers in company documents more easily.”
An internal RAG assistant that returns source-linked answers from one agreed knowledge collection.
Knowledge ingestion and retrieval workflow One internal web interface Source-linked answers and evaluation set Deployment configuration and handover Quoted after technical assessment Delivery plan confirmed after document and access review
View complete starting scope What you receive Knowledge ingestion and retrieval workflow One internal web interface Source-linked answers and evaluation set Deployment configuration and handover What we need from you Approved documents Access rules and user group Representative evaluation questions Not included Unlimited ingestion and complex permissions Scanned-document OCR unless scoped Model, hosting and vector-storage usage fees What affects scope and schedule Document volume and quality Permission model Integration and hosting requirements Optional additions Additional knowledge collections Identity integration Multilingual retrieval What happens after launch The agreed evaluation set provides a baseline for measured improvements and controlled expansion.
Build our knowledge assistant Best for Teams with a repeatable process, available evidence and a clear owner for consequential decisions.
AI-Assisted Business Workflow “I want AI to help process requests, prepare work or support business decisions.”
A controlled AI-assisted workflow with defined model tasks, human review and traceable failure behavior.
One business workflow Defined model tasks and supported integrations Human approval and activity logs Evaluation, deployment and handover Quoted after technical assessment Phased delivery plan confirmed after assessment
View complete starting scope What you receive One business workflow Defined model tasks and supported integrations Human approval and activity logs Evaluation, deployment and handover What we need from you Representative process examples Approved data and system access Decision and review owners Not included Autonomous replacement of staff Guaranteed accuracy, ROI or savings Unbounded integrations or decision authority What affects scope and schedule Model and data requirements Integration complexity Evaluation and control requirements Optional additions Additional workflow Custom evaluation dashboard Private-model deployment What happens after launch Operational evidence is reviewed before expanding model responsibilities or workflow coverage.
Build an AI-assisted workflow Best for Organizations with one defined vision use case and a representative supplied dataset.
Computer Vision Pilot “I want to detect or classify something in images.”
A pilot that establishes a measurable baseline before any production or field rollout is considered.
Dataset suitability review Baseline detection or classification model Evaluation and demonstration interface Feasibility report and production roadmap Quoted after dataset assessment Pilot schedule confirmed after dataset review
View complete starting scope What you receive Dataset suitability review Baseline detection or classification model Evaluation and demonstration interface Feasibility report and production roadmap What we need from you Representative dataset and usage rights Clear success criteria Operational reviewer Not included Production surveillance operations Camera hardware and field installation Large-scale labeling or guaranteed model performance What affects scope and schedule Dataset quality and labels Target conditions Performance and deployment constraints Optional additions Labeling strategy Model deployment pilot Operational review interface What happens after launch The pilot results determine whether production investment is justified and what evidence remains missing.
Test a computer vision idea Best for Technical teams with a defined workload, baseline and specialist engineering need.
Advanced AI & ML Systems “We need specialized model, inference or research engineering.”
A technical-assessment route for model serving, inference optimization, GPU workloads and research prototypes.
Technical workload assessment Architecture and baseline definition Phased engineering plan Project-specific evaluation approach Quoted after technical assessment Phased plan established after workload assessment
View complete starting scope What you receive Technical workload assessment Architecture and baseline definition Phased engineering plan Project-specific evaluation approach What we need from you Representative workload Current performance evidence Environment and infrastructure constraints Not included Performance guarantees before baseline assessment Owned GPU or HPC infrastructure claims Unbounded research or compute What affects scope and schedule Model and infrastructure scale Baseline quality Optimization and deployment targets Optional additions Inference implementation Private model deployment Evaluation architecture What happens after launch Each optimization or deployment phase is measured against the agreed technical baseline.
Discuss advanced AI engineering What are you trying to achieve? Show my CV and work Build or improve a company website Sell products online Launch a web or mobile product Replace or connect company-wide systems Reduce manual work or use AI Organize reporting or business data Set up or improve a cashier system Buy one technical service Back Skip this question
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