Why WiseQ?

The output of a full data science team. None of the effort.

Growing businesses rarely have the time or the specialists to turn data into decisions.

WiseQ closes that gap. Its agents do the data work end to end, so your team only has to do two things: ask the question and act on the answer.

01

No more assembling reports

Ask for the KPIs, charts and comparisons you need in a sentence. WiseQ's agents pull the data, build the view and highlight what matters.

Your team stops compiling reports and starts acting on them.

“Show revenue by region, compare it with plan, and tell me what's driving the gap.”

No more assembling reports
Illustrative product preview · Dashboards built from a question
02

Advanced modelling, without the modelling

Need a forecast, a churn prediction or a customer segmentation? Just ask. The agents decide which statistical or machine learning approach fits, then prepare the data, engineer features and build the model themselves.

Work that normally takes data scientists weeks across several tools happens behind the scenes—you only see the outcome.

“Which customers are most likely to leave in the next 90 days?”

Advanced modelling, without the modelling
Illustrative classification-model example · built by the agents
03

Answers you can rely on

Every model is evaluated by the agents before its results reach you.

WiseQ tests models using methods appropriate to the task, compares alternatives and tells you—in plain words—how reliable the result is and where its limits are.

Answers you can rely on
Illustrative product preview · Classification example
04

Insights in business language

WiseQ doesn't hand you raw model output. It explains what it found, which factors matter and what you should consider doing about it.

Findings and recommendations read like a briefing from your best analyst—clear enough to act on straight away.

“What is driving churn, and what should we do about it?”

Insights in business language
Illustrative product preview · Findings and recommendations
05

From model to everyday use

Once you approve a model, the agents put it to work—connecting its outputs to your dashboards and recurring business decisions, and monitoring that it keeps performing.

No hand-off to engineering required; scope and approvals stay in your control.

From model to everyday use
Deployment and monitoring preview
06

Issues surfaced before you ask

The agents keep watching your data and flag important changes, emerging risks and anomalies as they happen.

Each alert arrives with context and a suggested next step, so you know what deserves attention this week.

“What changed this week that I should know about?”

Issues surfaced before you ask
Illustrative product preview · Updates & Actions
07

Test decisions before you make them

Ask “what if?” and the agents simulate it. WiseQ shows how changing a business lever could affect outcomes, costs and net impact.

Compare options side by side in plain terms—projected results, not guarantees.

“What happens to churn and profit if we offer a 5% renewal discount?”

Test decisions before you make them
Illustrative scenario · Projected outcomes, not guaranteed results
08

From recommendation to results

When you act on a recommendation, WiseQ tracks it—ownership, progress, overdue reviews and the impact delivered.

Expected, estimated and validated benefits stay clearly separated, and every outcome informs the next answer.

From recommendation to results
Illustrative product preview · Execution and impact tracking

How it works

You ask. The agents handle everything in between.

  1. 1

    Connect once

    WiseQ sits on top of all your systems—cloud accounts, ERPs, CRMs, HRMS and workspaces—and learns your enterprise's data.

  2. 2

    Ask in plain language

    Type your question or decision the way you would ask a colleague. That is your only step.

  3. 3

    Agents do the data science

    Agents prepare the data, analyse it, build and validate models, and interpret the results—entirely on their own.

  4. 4

    Get answers and act

    Receive insights and recommendations in business language, then track the actions and the impact they deliver.

Supported data sources

One agentic layer across every system you run.

No separate connections for every analysis. WiseQ sits on top of your cloud accounts, ERPs, CRMs, HRMS, finance tools, databases and workspaces—so every question draws on the full picture of your business.

Cloud platformsERPCRMHRMS & payrollFinance & accountingWorkspacesData warehouses & databasesCommerce & support
AWS logo
Microsoft Azure logoMicrosoft Azure
Google Cloud logoGoogle Cloud
Oracle logo
SAP logoSAP
Odoo logoOdoo
Zoho logoZoho
Salesforce logoSalesforce
HubSpot logoHubSpot
Workday logo
BambooHR logo
Gusto logoGusto
QuickBooks logoQuickBooks
Xero logoXero
Sage logoSage
Stripe logoStripe
Shopify logoShopify
Zendesk logoZendesk
Mailchimp logoMailchimp
Jira logoJira
Microsoft 365 logoMicrosoft 365
Google Workspace logo
Excel logoExcel
SharePoint logoSharePoint
Teams logoTeams
Slack logo
Notion logoNotion
Gmail logoGmail
Google Drive logoGoogle Drive
Google Sheets logoGoogle Sheets
Dropbox logoDropbox
Airtable logoAirtable
Snowflake logoSnowflake
Databricks logoDatabricks
BigQuery logoBigQuery
Power BI logoPower BI
PostgreSQL logoPostgreSQL
MySQL logoMySQL
MongoDB logoMongoDB

Deployment

Your data never leaves your walls.

WiseQ is installed inside your own environment—on your on-premise servers or in your own cloud account. It sits as one agentic layer on top of your ERP, CRM, HRMS, applicant tracking, cloud databases and collaboration tools.

  • Privacy by design. Your business data stays in your infrastructure. Nothing is copied to an outside platform to be analysed.
  • Security you control. WiseQ runs behind your firewall, under your own access controls, identity policies and encryption.
  • Safe and compliant. Data residency, audit and regulatory requirements are met by keeping every workload where your data already lives.
  • Full ownership. Models, insights and decision history remain your assets, inside your environment.

The platform subscription is separate from cloud infrastructure and AI inference costs, helping you assess the full cost of your implementation.

Your on-premise servers or your cloud

WiseQ agentic layer

Understands all your data · answers in business language

ERPs
CRMs
HRMS
Applicant tracking
Cloud databases
Collaboration platforms
Finance & accounting
Data warehouses
Files & spreadsheets

Conceptual view — everything stays inside your environment

What could your business do with clearer answers?

Bring us the questions your data should be answering. WiseQ’s agents will do the rest.

We're inviting small and medium enterprises to help shape WiseQ around real business needs.