Your agentic data science team · for SMEs
WiseQ sits on top of all your business data. Ask your question in plain language—its AI agents carry out the entire data science lifecycle on their own and hand back finished analyses, insights and recommendations in business language.
No dashboards to build. No models to configure. No data team required.
You ask. The agents do the work. You decide.
What is WiseQ?
WiseQ is an agentic analytics and decision intelligence layer being built for small and medium enterprises. It sits on top of all of your data sources—cloud accounts, ERPs, CRMs, HRMS, workspaces and more—and understands your enterprise's data completely, so there is no need to set up new connections for every analysis.
All you do is ask. Behind the scenes, specialist AI agents take over the whole data science lifecycle—finding and preparing the right data, analysing it, building and validating statistical and machine learning models, and interpreting the results. What comes back is not a chart to decipher or a model to tune, but a clear answer: what is happening, why, and what to do next.
No queries, no code, no report building.
Ask the way you would ask a trusted analyst—“Why did margins drop last quarter?” or “Which customers are likely to leave?”. WiseQ understands your business and knows where the answer lives.
Illustrative product preview
Autonomously, end to end.
Specialist agents locate and prepare data, explore it, engineer features, choose methods, build and evaluate statistical and machine learning models, and stress-test the results—without you managing a single step.
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Answers, not artefacts.
WiseQ returns the finding, the reasons behind it and the recommended next steps in plain language—then tracks the actions you take and the impact they deliver.
Illustrative product preview
Supported data sources
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.
Microsoft Azure
Google Cloud
SAP
Odoo
Zoho
Salesforce
HubSpot
Gusto
QuickBooks
Xero
Sage
Stripe
Shopify
Zendesk
Mailchimp
Jira
Microsoft 365
Excel
SharePoint
Teams
Notion
Gmail
Google Drive
Google Sheets
Dropbox
Airtable
Snowflake
Databricks
BigQuery
Power BI
PostgreSQL
MySQL
MongoDBSmall & Medium Enterprises
WiseQ is designed for small and medium enterprises whose data has grown across systems, spreadsheets, and teams—and whose decisions need more than another static report.
Whether analysis sits with the founder, finance team, functional managers, or a small data team, WiseQ aims to make sophisticated analytical work more accessible and easier to coordinate. Start with a focused business problem. Expand as your needs and data capabilities grow.
Build a clearer picture of performance, risks, and priorities without personally assembling every report.
“Where should we focus our attention this month?”
Investigate revenue, margins, customer behaviour, and retention. Explore the assumptions behind plans and the potential impact of different choices.
“What is affecting profitability, and which customers need attention?”
Use data to investigate bottlenecks, assess resource needs, and track improvement initiatives.
“What is holding performance back, and what should we investigate next?”
Reduce repetitive work across data preparation, modelling, evaluation, explanation, and implementation—leaving more time for validation and business interpretation.
“How can we deliver deeper analysis with fewer manual handoffs?”
Why WiseQ?
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.
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.”
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?”
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.
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?”
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.
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?”
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?”
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.
How it works
WiseQ sits on top of all your systems—cloud accounts, ERPs, CRMs, HRMS and workspaces—and learns your enterprise's data.
Type your question or decision the way you would ask a colleague. That is your only step.
Agents prepare the data, analyse it, build and validate models, and interpret the results—entirely on their own.
Receive insights and recommendations in business language, then track the actions and the impact they deliver.
Deployment
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.
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
Conceptual view — everything stays inside your environment
Pricing
One powerful platform. The right level of expert support.
Every WiseQ plan includes enterprise-wide access to the complete platform, deployed in your own cloud. Choose the level of consulting, customisation and hands-on support your business needs.
For businesses ready to lead their analytics journey with periodic expert guidance.
Foundational guidance
Consulting and bespoke support services
Onboarding fees: Custom quote
For businesses seeking hands-on support to develop use cases, refine models and embed analytics into everyday decisions.
Hands-on enablement
Consulting and bespoke support services
Onboarding fees: Custom quote
For businesses seeking an ongoing partnership for complex analytics, bespoke workflows and strategic decision support.
Strategic and bespoke delivery
Consulting and bespoke support services
Onboarding fees: Custom quote
Onboarding
Onboarding fees are scoped independently of your subscription tier. They reflect your data sources, integration complexity, data readiness, deployment requirements and initial training needs.
Your implementation scope and fees are agreed before deployment.
Plan pricing is being finalised and will be published soon. Cloud infrastructure, AI inference, third-party licences, onboarding and applicable taxes are additional.
Consulting, meetings, preparation, training and bespoke delivery count toward each plan's included service hours. Work is prioritised within the agreed capacity. Larger projects are scoped and quoted separately.
Tell us about your goals, data environment and team. We'll help you choose a plan and define your onboarding scope.
About us
Co-Founder & Go-to-Market Lead
Sam brings more than two decades of management consulting experience across business development, client relationships and transformation programmes. He spent much of his career at Deloitte, helping financial services organisations through complex business and operating-model changes. At WiseQ, he leads go-to-market strategy, partnerships and customer engagement.
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Co-Founder & Head of Product and Design
Niraj combines more than a decade of AI and data consulting experience with an MBA from INSEAD. His background includes developing AI transformation strategies at Deloitte and leading innovation at Solidus AI Tech, with experience across banking, retail and the public sector. At WiseQ, he leads product strategy and design, translating complex analytics and machine learning capabilities into intuitive workflows that help businesses make informed decisions.
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Co-Founder & Founding Developer
Abhinav brings hands-on experience in AI engineering, DevOps and software development, with a focus on building AI agents and developer tools. He spent two years as a Consulting Analyst at Deloitte before moving into AI engineering at AITECH Cloud Network. At WiseQ, he leads platform development, turning the product vision into working software and building the agentic workflows behind the platform’s analytics.
LinkedIn profileBring 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.
