About the client
This project is referred to as 'Insight Analytics Suite' in our portfolio to maintain confidentiality. The specifics of the project name and details have been generalized to respect the privacy agreements with our clients. Polar Night Software played a role in developing Insight Analytics Suite - a platform that makes advanced AI accessible for businesses. It helps companies gather insights by analyzing competitor reports, customer feedback, and sales engagement. It offers customizable tools for generating leads, onboarding new employees, and tracking IT tickets and software licenses. With a secure and transparent environment, the platform ensures compliance while reducing costs through pre-built components.
Project type
Ai, Web
Industry
BI & Knowledge Management
Location
Finland
Problem
Teams struggled to synthesize competitor reports, feedback, and engagement data into practical actions.
Approach
We helped develop a secure analytics layer and reusable components for lead gen, onboarding, and IT ops tracking.
Outcomes
Quicker insight extraction from messy sources
Reusable modules reduce cost and time to value
Compliance-aware data handling out of the box
Project overview
Partnership Goal
Provide a composable, secure analytics foundation that turns unstructured inputs into trusted, role-ready insights - reducing time to value while keeping costs and compliance under control.
From scattered sources to one workspace
Insights start with getting the data into shape.
We helped define connectors for common inputs - competitor reports, feedback exports, ticketing and CRM data - and normalised them into a shared model. Deduplication and entity mapping keep signals consistent across competitors, customers, and products, so teams compare like for like and trust what the dashboard shows.
The result is a single place to ask questions and trace where each answer came from.
Composable apps, not one monolith
Reusable modules power different teams without separate builds.
Lead generation, onboarding, and IT operations share the same analytics core but expose tailored flows. Product owners configure playbooks and prompt templates, while role-based views surface the next best action. New use cases reuse the same building blocks instead of starting from scratch.
Usage analytics highlight what to improve next and which modules deliver the most value.
Compliance by default
Governance, audit, and privacy are built in - not bolted on.
Sensitive fields are masked at ingestion, access follows least-privilege roles, and key actions are logged for audit. Deployment options meet customer requirements, and prompt guardrails keep outputs aligned with policy. Teams gain transparency and control without slowing delivery.
This makes the platform safe to adopt across departments handling regulated data.
How our team turned ideas into a working, scalable solution
What we worked on
Services
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