Our Research Focus
- Our cross-functional team of academic operations consultants, engineers, product owners, product designers, customer success managers and data scientists works to build intelligent solutions that address academic and placement operations automation, with the aim of improving student success and administrative efficiency.
Academic operations is an allocation problem
Every process we automate, building and operationalizing a multi-programme timetable, standardizing an elective bidding round, slotting Day 0 interviews, placing students with partner universities is the same class of problem underneath: allocating scarce resources against competing preferences and hard constraints. Most of these problems are NP-hard. We treat them that way.
Research, then engineering.
very module begins as a problem formulation, identifying decision variables, hard constraints, objective function even before a line of interface code is written.
Validated against institutional history
New solvers are benchmarked on your own past terms and cycles, so improvement is measured against what your office actually produced, not a synthetic dataset.
Built with programme offices, not for them.
consultants, product owners and customer success teams sit inside live cycles bidding windows, timetable freezes, placement days where the real constraints surface.
Proven at institutional scale.
Deployed at IIMA, IIMB,IIMC, ISB, XLRI, SDA Bocconi, IIT Bombay, Ashoka University, SNU Noida, NLS Bangalore, IISc Bangalore and 40+ higher education institutions.
NP-hard Problems
We treat timetable generation not as an administrative chore but as a core algorithmic challenge that confers operational advantages if addressed with automation. Our R&D team developed hybrid optimization methods that produce conflict-free, preference-aware schedules across thousands of variables.


Academic Operations Optimization
From the moment a student begins their academic journey to the day they graduate, we are building intelligent automation across every operational layer of higher education eliminating manual bottlenecks, reducing administrative overhead, and enabling institutions to focus on pedagogy rather than paperwork.
User Experience Optimization
User experience is not a design afterthought, it is a research discipline. We study how students, faculty, and administrators interact with academic systems, then engineer interfaces and interaction models that reduce friction, build confidence, and surface the right information at precisely the right moment.

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Powering Outcomes in Global Institutions
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