Frequently Asked
Questions
Answers to Your Most Common Questions
A practical guide to what EVA is, how the public demos work, what is synthetic, what can be done with private business data, and where human expertise fits.
01What exactly is EVALUATION?+
EVALUATION is a data, AI, digital and business-intelligence company built around one principle: evaluate the evidence first, understand what it means, then improve the decision. The website combines product demonstrations such as EVA Workspace and EVA DataLab with specialist services across data automation, AI, cloud, digital products, dashboards, branding and training.
02Is EVA a software product, a consultancy, or both?+
Both. EVA is the product/system layer used to demonstrate how raw information can be cleaned, analysed and turned into a decision view. EVALUATION is the human service layer that can design the architecture, interpret the output, build custom systems and help a business decide what to do next. A client can start with the product flow, a specialist service, or a combination of both.
03What are the five EVA nodes?+
The five nodes are different capabilities inside one architecture: EVA DATA structures and validates information; EVA AI finds patterns, generates explanations and supports automation; EVA DIGITAL turns requirements into digital products and interfaces; EVA LABS prototypes, tests and turns ideas into working experiments or decision workspaces; and EVA ACADEMY explains, trains and builds internal capability. A project does not have to use all five.
04Where should I start if I am not sure what I need?+
Start with the business problem, not the technology. Tell us what is difficult to understand, what decision is slow, what reporting is manual, or what you are trying to improve. The project form allows you to choose “Not sure — help me choose,” and EVALUATION can recommend the relevant node, specialist or product path.
05What is the difference between EVA Workspace and EVA DataLab?+
EVA Workspace is the guided business demonstration built around the synthetic Kissa Coffee House sample. It shows the complete story from messy source data through EVA DATA, EVA AI and EVA LABS to a management dashboard, forecast and decision brief. EVA DataLab is the interactive small-data demo where a visitor can try a CSV and inspect schema inference, cleaning, data quality, exploratory analysis, model comparison and a plain-English decision brief.
06What data formats can EVA work with?+
The current public EVA DataLab supports CSV, TSV, XLS/XLSX and Parquet files and is intentionally limited to small datasets: up to approximately 5 MB, 50,000 rows and 50 columns. The broader EVALUATION service architecture is designed around business sources such as spreadsheets, CSV/JSON exports, APIs, POS/CRM systems and databases. Those broader connectors are project or production-scope capabilities rather than features of the current public browser version.
07What happens if my data is messy, duplicated or inconsistent?+
That is exactly the problem EVA DATA is meant to address. The workflow can profile the schema, identify missing values and duplicates, standardise labels and numeric fields, flag suspicious values, and create a cleaner reporting layer before analysis. The public Kissa sample deliberately contains inconsistent dates, aliases, missing cells, duplicate IDs and mixed source formats so visitors can see why the cleaning stage matters.
08Do I need to know which chart, KPI or model I want?+
No. The intended starting point is the question: for example, “Why did revenue change?”, “What should we fix first?”, “Which products are driving value?”, or “What could happen under a different pricing assumption?” EVA AI is presented as the layer that turns the business question into an appropriate analysis or workspace rather than asking the client to design the dashboard first.
09What does EVA DataLab actually analyse?+
The current DataLab demo performs schema/type inference, missing-value and duplicate checks, basic cleaning controls, task-aware exploratory analysis and automatic visual selection. It can detect classification versus regression tasks, compare simple models on the same split, use an 80/20 held-out evaluation and 5-fold cross-validation, and explain the resulting metrics in plain English. It is a proof-of-concept analytics workflow, not a production model deployment platform.
10Can EVA forecast future revenue, profit or demand?+
EVA Workspace includes a scenario/forecast demonstration where assumptions such as average ticket, order volume, costs and time horizon can be changed. The resulting curve is a modeled scenario, not a guarantee. Forecast quality always depends on the quality, history, seasonality and relevance of the underlying data, so the interface deliberately treats forecasts as decision support rather than certainty.
11Can EVA replace Power BI, Tableau or an analyst?+
Not necessarily, and that is not the only goal. EVA can be the layer that cleans data, frames the question, generates a useful decision view and explains what deserves attention. In some projects that may reduce the need for a separate dashboard stack; in others it can complement existing BI tools or analysts. The right architecture depends on the business, existing systems and how frequently the data changes.
12Is the Kissa Coffee House performance data real?+
No. The Kissa case study makes a deliberate distinction. The brand story, visual identity, menu, coffee beans, merchandise and supplied design materials come from the provided Kissa assets. The sales figures, customers, inventory warnings, forecasts and recommendations are synthetic sample data created only to demonstrate the EVA workflow. They are not presented as real Kissa business performance.
13Can I upload my private company data into the public Kissa Workspace demo?+
No. The public Kissa Workspace is intentionally sample-only and shows the upload position without accepting private business data. If you want to test a small CSV yourself, EVA DataLab is the appropriate public demo. For a real company implementation, data access and architecture would be agreed as part of the project.
14Does EVA DataLab upload or permanently store my CSV?+
The current DataLab processes file data with JavaScript in your browser and does not include a production upload backend, user accounts or persistent hosted datasets. Excel and Parquet import code is loaded from external CDNs, so a browser-side workflow alone is not a security guarantee. Use non-sensitive sample files; private business data needs an agreed, secure deployment.
15Is my data used to train an AI model?+
The current public demos are not presented as a service that trains a new foundation model on client data. EVA DataLab performs local analytical/modeling workflows in the browser, while the public Kissa Workspace uses synthetic data. For a production AI solution, the exact model/provider, storage, retention and data-handling terms should be defined before deployment.
16How would confidential data be handled in a real project?+
The appropriate controls depend on the project: what sources are connected, who needs access, where the system is deployed, whether data must be retained, and what governance requirements apply. EVALUATION would define those requirements before private data is connected. The current public website should be treated as a product demonstration, not as evidence of a specific compliance certification.
17What is the difference between Explore, Pro and Business?+
Explore is available now: the KISSA EVA Workspace is a guided synthetic-data sample, and EVA DataLab accepts supported small files locally. Pro is planned: persistent accounts, shared projects and advanced workflows have no active subscription or checkout. Business means a custom service consultation today; hosted EVA team accounts, refresh schedules and role permissions are future product capabilities, not available subscriptions. The Plans page separates public demos, future features and separately scoped professional services.
18Is the current website already a production SaaS platform?+
No. The current website is a detailed front-end/product demonstration. EVA DataLab is a working small-data browser application, while production capabilities such as authentication, persistent projects, database/warehouse connectors, scheduled jobs, large-file processing, role-based access and multi-user concurrency are intentionally postponed for a later backend deployment.
19What is “AI + Human”?+
AI + Human is the point where a specialist reviews the evidence instead of leaving the client with an automated chart or sentence. EVA can surface the signal; EVALUATION can then translate it into a management-ready marketing, pricing, operations, product or growth brief, challenge assumptions and help decide what should happen next.
20Can I choose a specific specialist?+
Yes. The project form lets you select Morage Luqman, Hamza Luqman, Muriam Luqman, Abdullah Luqman or Jamshed Muhammad, or leave the choice open and ask EVALUATION to recommend the best fit. Projects can also combine more than one discipline when the work crosses data, AI, cloud, product or brand.
21How does pricing work for custom projects?+
The product Plans page currently presents Explore as the public demo, Pro as a monthly workspace offer, and Business as custom. Bespoke implementation, automation, data architecture, cloud, branding or consulting work is scoped separately because effort depends on the number of sources, data quality, required outputs, integrations, users and delivery timeline.
22How quickly can a project start?+
There is no single fixed timeline because a clean one-file dashboard and a multi-system data platform are very different projects. The enquiry form lets you indicate “as soon as possible,” 2–4 weeks, 1–3 months or an exploratory timeline. The first step is to define the business question, data sources and required outcome before committing to delivery dates.
23What kinds of outputs can EVALUATION deliver?+
Depending on the project, outputs can include cleaned/structured data, KPI definitions, dashboards, automated reporting workflows, decision briefs, analytical models, forecasts, AI-assisted tools, web applications, prototypes, cloud/data architecture, brand systems, documentation or training. The goal is to produce something the business can use, not simply an analysis file.
24Can I export results from the demos?+
EVA DataLab includes cleaned-data and decision-brief export in the current public version. The EVA Workspace product design shows CSV/PNG export as a Pro capability. Because the Workspace is currently a public synthetic demonstration rather than a production account system, its export behaviour should be understood as part of the product prototype.
25Can EVA connect directly to APIs, databases or warehouses?+
That is part of the Business / production direction, not the current public DataLab. The website positions recurring API/database connectors, scheduled refresh and team workflows as Business capabilities. A real implementation would require the relevant backend, credentials, permissions, job processing and monitoring to be designed for the client's environment.
26Can EVA handle very large datasets?+
The current DataLab does not claim big-data execution. It is deliberately designed for small-data processing in the browser. Large datasets would require a production architecture that avoids loading everything into the browser and instead pushes computation to an appropriate database, warehouse or distributed processing layer.
27What if the AI recommendation conflicts with business reality?+
Then the recommendation should be challenged. EVA is decision support, not an authority. A useful system should show the evidence, assumptions and caveats so a human can decide whether the recommendation makes sense. This is also why the website emphasizes “evaluate → understand → improve” and keeps an AI + Human route for higher-stakes or ambiguous decisions.
28What is the simplest way to begin?+
If you only want to understand the concept, open the Kissa EVA Workspace. If you want to try a small CSV, use EVA DataLab. If you already have a business problem or private data source, use Start a Project and describe what you are trying to understand, build, improve or launch. You do not need to prepare a technical specification first.
Ask the business
question first.
If your situation does not fit a neat FAQ, send the problem as it is. We can help decide whether you need DataLab, EVA Workspace, a specialist project, or a combination.