Each block below says what it does, what it's for, and why doing it this way matters. Every product at the top is a configuration of what sits underneath — never a separate system.
Voik.io
Self-service reviews for e-commerce, POS and manufacturers — plus loyalty and consumer communities.
The same platform as enterprise, with a blueprint instead of an implementation. Start with reviews; when you grow, unlock components instead of migrating.
Custom solutions
Dedicated platforms for a specific customer or industry, on the shared engine.
Tailored, for a fraction of what a system from scratch costs — because 90% already exists and is maintained together. A fix in the engine reaches everyone at once.
Onboarding & Self-service
Customer onboarding and self-service.
The condition for the platform to grow faster than the team. Acquisition cost stops scaling with customer count.
Articles & Publications
Publishing reports and articles, marketplace.
A report is built from live data in the system, not a hand-assembled file. Close a study to publication in days, not weeks.
MCP
Exposing Mobile Institute capabilities to external AI agents.
More and more questions about data are asked by someone's assistant, not a person in a panel. Our data becomes reachable from tools the customer already uses.
Canonical data models
Our own schemas for tracking opinion and context — respondents, purchases, e-commerce, services, HoReCa, products, demographics, segments.
The distillate of years of research, saved as a structure. Customers don't start from an empty table — they get a model that has already worked on their market.
Signals
Collecting and analysing non-declarative data.
People say one thing and do another, and the second is usually truer. Signal and declaration describe the same person in one profile — the gap becomes the most interesting finding of the study.
KPIs
Events from many sources, metric computation, KPI tracking.
A KPI is a definition in the system, not a formula in somebody's spreadsheet. Every number decomposes to the events it came from.
Calendar & Business Events
Business events — entered or computed — visualised on boards.
"NPS dropped in March" becomes "NPS dropped after the refit". Correlation you can see, instead of root-cause analysis three months later.
Loyalty
Onboarding to loyalty programmes, stamps, coupons.
A loyalty programme is the best data source a brand has: identity, purchase history and consent in one. Here it feeds research and segmentation directly.
Connect, e-Commerce & Reco
CMS and e-commerce integrations, recommendation engine, order and complaint processing, service tracking.
Closes the loop: an order triggers a question, the answer improves a recommendation, the recommendation shapes the next order. Research wired into sales, not beside it.
Forms, Campaigns & Aliases
Survey and form engine — declarative data, including conversational surveys.
A conversational survey turns a form into a chat, and people finish chats more often than forms. One engine serves the panel study and the widget at the till.
Mailings
Marketing mailings to selected groups, reactions to buying-journey events, multi-step campaigns, blacklisting.
The audience is a query on live data, not a CSV exported a month ago. Mail goes out on an event — not on Thursday because Thursday is newsletter day.
Instapps & Widgets
Embeddable widgets, interstitials, chats and reporting forms.
Context arrives with the answer: which page, after which purchase, at which moment. That usually says more than the answer itself.
Support, Messages, Tickets & Chats
Support chats, customer conversations, inbox handling, cases, Slack / Teams / WhatsApp integrations.
The complaint and the survey result sit side by side. An NPS drop in one store maps to this week's tickets without stitching two exports.
Tribes
Communities — events, idea collection, Q&A, posts, comments, discussions.
A community is a research panel that maintains itself. People come for value to them and happen to be available when you want to ask.
Scrapers
Crawling the web for opinions, prices and leads.
Most opinions about a brand are formed where the brand is not asking. Collected reviews land in the same models — and count towards the same indicators — as surveys.
Computer Vision & Beacons
In-store data collection and store optimisation.
Closes the last gap: declaration ("I would buy"), transaction ("bought") and behaviour ("stopped, looked, left") in one place.
Data & Models
Storage, schema management, computed attributes, enrichment, validation and data-entry forms.
Enrichment runs at write time. No nightly batch after which the report is "current now" — a record knows more about itself than the respondent said.
Flows & Automation
Chains actions into processes — automation, custom logic, external integrations, schedulers and event handlers.
A flow can call every action in the platform, because everything is an action. One mechanism instead of ten point integrations.
Human Tasks & Approvals
Pause an action until a person approves; flows can generate work for humans.
A person is a step in the process, not an exception to it. Automation does not stop where judgement begins — it asks for it and carries on.
AI & Agents
Agent engine, knowledge bases, skills, AI chats, MCP.
The agent lives inside the platform — it sees the data, knows the permissions and can invoke any action. A worker with tools and an audit trail, not a chatbot bolted onto a database.
Analytics, Queries & Boards
Analysis, normalisation, charts, dashboards.
Analytics reads the same models the data landed in. No export, no ETL, no gap between what the analyst sees and what the system holds.
Files, Attachments & Media
File storage with access control; attachments in datasets and surveys.
A file is a resource like any other — it inherits permissions, enters flows, can be handed to an AI agent for recognition. A shelf photo becomes data.
Alerts & Notifications
Generate alerts and route them to people.
An alert is an entry into a process, not an email that something changed. It lands in Slack with the right owner and can open a task with a deadline.
Experiments & Toggles
A/B tests, experiments, feature toggles — with impact measurement.
"Variant B won" means "variant B raised NPS", not "variant B had a better click rate". Evidence, not a proxy.
Accounts & Users
Accounts, users, authentication — social login included.
One identity across the platform: the same person is a respondent, a community member and a dashboard user — and we know it is the same person. That is what makes data joinable at all.
Spaces, Resources & Capabilities
The component engine. A survey, a dataset, a board, a flow, a bucket — all resources of one kind, living in a customer's space.
Add one resource and it inherits access control, activity log, API, stats, billing and flow integration for free. Competitors rewrite all of that for every feature.
Activities & Actions
Every activity is logged; every action can be invoked from UI, API, another resource, MCP, a scheduler or a flow.
An action written once works everywhere with the same rules and the same audit entry. The log is simultaneously audit, statistics and invoice.
Tasks, Events, Intents & Plugins
The execution engine: background tasks, application events, intents ("what should I do now?") and plugins.
Intents let a new capability join an existing process without touching old code. The system asks; the components answer.
Access Control
Roles and granular permissions on every resource.
Permissions are a property of the resource, not a system beside it. A new component type is secured on day one — nothing ships "open for now".
Infrastructure
Scalable infrastructure under everything.
Scale is the platform's problem, not the project's. Nobody sizes a study to fit a server.
Billing
Billing engine and invoicing.
Billing is computed from the same activity log as statistics — so the invoice always matches what the customer sees in the panel.
Configuration & Blueprints
Configurators and a library of ready solution templates.
A blueprint turns experience into product. What we learnt with one customer, the next one gets as a starting point.
Monitoring & Statistics
System monitoring and per-resource statistics.
Every resource publishes its own stats. Customers see the health of their solution through the same mechanism we use to see the health of the platform.
UX & Admin
The internal panel and its polish.
Every hour spent on the panel comes back as an hour not spent on support — and a customer who does things alone.