AI Innovation Studio
AI Innovation, Backed by Evidence & Credibility
At Business Brio, innovation isn’t confined to client delivery — it extends to shaping the global frameworks that govern how AI is built, assessed, and trusted. Our team sits at international standards tables, publishes notable peer-reviewed research in esteemed journals, holds patents in intelligent systems, and contributes open-source tools back to the community.
Developing AI Standards for the World
Business Brio plays an active role in defining how AI is measured, governed, and trusted worldwide — as part of ISO/IEC JTC 1/SC 42, the global standards body for Artificial Intelligence.
✔️ Project Lead & Editor — ISO/IEC 24668 The world’s first AI assessment standard developed under SC 42 – Process Management Framework for Big Data Analytics.
✔️ Contributor — ISO/IEC 20546 The world’s first ISO standard on Big Data.
✔️ Contributor — ISO/IEC 5259 series Framework and measures for AI data quality.
✔️ Contributor — ISO/IEC 25569 Standard for implementation of de-identification of ML data.
✔️ XAI & Transparency Framework Our Explainable AI (XAI) and Transparency Framework has been endorsed and published in Springer journal, extending our standards work into practical, applicable guidance for enterprise AI deployments.
This isn’t theoretical — the same rigor that shapes global standards is built into every AI Readiness Assessment, Data Governance framework, and Analytics implementation we deliver to clients.
Research Recognized on the Global Stage
Our work in AI and intelligent systems has been peer-reviewed, published in coveted journals, and awarded at leading international conferences — reflecting a commitment to advancing the science, not just applying it.
✔️ Best Paper Award — OLAB ‘Improving Sales Process Efficiency with Data Science’ at International Conference on Optimization, Learning and Analytics in Business [Link to Springer paper – https://link.springer.com/chapter/10.1007/978-981-96-2329-7_5 ]
✔️ Best Paper Award — RAAISA ‘Efficiency Assessment for Education Hubs’ at International Conference on Recent Advances in Artificial Intelligence and Smart Applications [Link to Springer paper – https://link.springer.com/chapter/10.1007/978-981-97-3485-6_3 ]
✔️ 2nd Best Paper Award — AGC ‘Benchmarking & Comparison for Retail Stores‘ at Analytics Global Conference [Link to Springer paper – https://link.springer.com/chapter/10.1007/978-3-031-50815-8_1#Abs1 ]
✔️ Multiple Publications — Springer [Link to Springer author/publication page
➜ ‘A Hybrid Model for Retail Success: Integrating RFM, Recommendations, and Price Dynamics’ – ICDMAI at International Conference on Data Management, Analytics & Innovation – https://link.springer.com/chapter/10.1007/978-981-96-6534-1_2
➜ ‘Explainability and Transparency in Designing Responsible AI Applications’ – 3CAI at International Conference on Computing, Communication, Cybersecurity and AI – https://link.springer.com/chapter/10.1007/978-3-031-74443-3_25
Read the full body of published research to take a deep dive into our thought leadership on our approach to applied AI.
Patent Protected Innovation, Built for Impact
Our patents protection of Intellectual properties reflect a simple principle: innovation should solve real business problems, not just look good on paper.
Patent Protection ID/No.: 202131002821
Title: A Technique for Evaluating Performance of Physicians
Patent Protection ID/No.: 202131002307
Title: System and a Method of Determining Percentile Significance for Services
Patent Protection ID/No.: 202131055499
Title: A System and Method for Determining Efficiency of Artificial Intelligence Applications
Patent Protection ID/No.:202431005047
Title: Efficiency Evaluation Combining Economic Modelling and Tessellation Augmented via Neural Networks for Retail Sector
Giving Back to the Ecosystem We Build On
We believe responsible AI innovation is a shared endeavor. Where it makes sense, we release tools, frameworks, and components under MIT Open License — contributing back to the developer and data science community that our own work builds upon.
Customer Segmentation: Segments customers based on Recency, Frequency, and Monetary value to identify high-value customers and improve targeted marketing.
Price Elasticity of Products: Analyzes how changes in product prices impact customer demand to optimize pricing strategies and maximize revenue.
Recommendation Engine : Recommends relevant products by analyzing customer purchase patterns and frequently bought-together items.
GET SLA: Monitors lead response time by measuring the duration taken to make the first contact after a sales lead is generated, ensuring SLA compliance.
Open collaboration accelerates trustworthy AI for everyone — not just our clients. This is our way of contributing to that progress.
Want to see how this expertise applies to your business?
From AI Readiness Assessments to Enterprise AI Implementation, our innovation work directly informs how we solve problems for our clients.
Customer Analytics - For one of the largest telecom service providers in the Middle East region
Customer Analytics to measure and report brand performance and brand strength against competition for a major telecom service...
Fraud Analytics in Insurance - For one of the largest title insurance companies in North America
Developed early warning method by applying machine learning algorithms on title plant data, claims data, easements and CC&Rs to identify suspicious release cases for one of the largest title Insurance...
Sentiment Analytics - For one of the largest consumer goods companies in India
Real-time automation to analyse sentiments towards the brands from unstructured social media posts and semi-structured customer feedback using data mining techniques and machine learning algorithms...
We equip our clients to deliver value out of volume of data.
Contact Information
14th Floor, Unit 14, Tower 1,
Srijan Corporate Park,
Block GP, Sector 5,
Salt Lake City,
Kolkata 700 091, India
