Compute-intensive Simulations for research and development in industries, universities, and public institutions.
We undertake computational modeling R&D for institutional players looking for cost-effective Research-as-a-Service.
Motivation behind Riverains Labs rests of fundamental facts of market dynamics.
Models, high-performance computing, and specialist judgment reduce uncertainty before laboratory or plant work begins. Our role is to turn open-ended screening into focused calculation that teams can act on.
Simulation before experiment
Advanced solvers, HPC operations, and interdisciplinary modelling skill are still scarce and expensive to retain in-house. We provide that capacity as a research partner for the duration of a project or on retainer.
Research-as-a-Service for newer organisations
Inertia against modernisation in large organizations results in suboptimal utilisation of compute-resources from inefficient workflows. Our modular architecture of the compute-intensive software facilitates faster implementation of state-of-art algorithms.
Research-as-a-service for larger organisations
India is entering a new age of compute with massive present and upcoming public and private compute infrastructure. We leverage the know-how developed in this ecosystem to deliver cost-effective simulation research to our clients, utilising these platforms.
Leveraging upcoming hyperscale data centre infrastructure
Teams that need depth in simulation but cannot justify owning every solver, cluster, and specialist role themselves.
Focus: Chemicals, materials, pharmaceuticals
Focus: Biotech, quantum, aerospace
Focus: Consortia, IITs, government
Named after the mathematical methods ubiquitous in respective fields, Ewald, Ising, and Monte Carlo are the three business vertical (Chemistry, Complex Systems, Financial Systems) in which Riverains Labs operates. Each has its own methods and client work; all three use the same high-performance computing layer.
Research business structure
How our three research fields relate to the shared compute core.
Chemistry, complex systems, and quantitative finance each keep their own methods while drawing on the same high-performance computing layer.
Ewald
01
Ising
02
Monte Carlo
03
Every engagement follows the same sequence: assessment, a written proposal, iterative research with reviews, and a documented handover. We work under NDA when the material requires it.
Delivery steps
01
Inquiry and assessment
02
Proposal
03
Research and delivery
04
Handover and support
01
You share the problem, constraints, and data landscape. We agree scope, and work under NDA when the material requires it.
02
We issue a statement of work covering methods, milestones, deliverables, and how success will be judged.
03
Modelling proceeds in iterations with scheduled reviews so assumptions and interim results stay visible to your team.
04
You receive reports, code, and knowledge transfer. A retainer can follow if you want continued iteration.
The company is led by its Chief Scientist and Technical Officer, responsible for research programmes and the systems that run them.
Chief Scientist · Research Officer
Chief Scientist and Research Officer at Riverains Labs. Computational chemist focused on simulation for industry and complex systems, and on making computational R&D accessible across organisations of any scale.
Technical Officer
Technical Officer at Riverains Labs. Leads technology vision, software architecture, AI initiatives, computational infrastructure, and digital product development.
If your organisation needs simulation capacity, shared methods, or help standing up a research workflow, we can outline a scoped engagement or a longer retainer.
