Represent complex physical, environmental and engineered systems in software.
Deep-tech scientific R&D
Scientific AI for sensing and understanding complex systems.
Chakradhari builds scientific AI, computational modelling and electromagnetic sensing methods for radar, remote sensing, and environmental and physical systems — working with research teams, universities and R&D partners.
▶ Watch: Introducing Chakradhari →
Earth observation
electromagnetic sensing
physics-aware AI
inverse problems
What we solve
Model
Build
Validate
Extracting reliable understanding of physical and environmental systems from noisy, incomplete measurements is hard. We build the science and software to do it.
Chakradhari works with research teams, universities and R&D partners on computational problems in sensing, Earth systems and scientific AI — combining electromagnetic sensing, environmental modelling, numerical simulation and physics-aware AI to turn raw observations into scientific understanding. Client and partner work remains confidential unless jointly released.
Turn domain methods into product-grade workflows, interfaces and automation.
Move from proposal or prototype to funded, validated technical capability.
Capabilities
Physics, sensing, computation and AI — one coherent capability.
Four capability pillars that reinforce each other: sensing and inversion, Earth and environmental intelligence, scientific AI and modelling, and scientific software. Together they take a problem from raw measurement to working system.
Radar, SAR, GPR and electromagnetic inversion
Extracting physical and subsurface information from radar, microwave and electromagnetic measurements — retrieval, inversion and sensor fusion.
Remote sensing and environmental monitoring
Satellite and field observation, soil-water-crop systems, multi-temporal analysis and environmental decision support.
Physics-aware AI, simulation and digital twins
Surrogate models, numerical simulation, scientific machine learning and digital twins connecting data, models and uncertainty.
Research code, modernised into working systems
Model coupling, legacy-code modernisation and reproducible workflows that take research from prototype to production.
Private R&D
Representative capability · partner work confidential.
The problem classes below reflect the kind of work we do with partners. Specific projects, datasets and clients are not shown here.
GPR & subsurface inference
Electromagnetic modelling, inversion and physics-informed reconstruction for subsurface sensing.
InversionReconstruction
Satellite intelligence
Multi-sensor Earth observation, SAR and environmental time-series retrieval.
Remote sensingTime series
Scientific model modernisation
Transforming legacy research codes into validated, reusable computational systems.
ModernisationValidation
Environmental digital twins
Connecting observations, models, simulation and uncertainty for decision support.
State modelsScenario testing
Have a harder version of one of these? These generalise well — we can shape them around a specific dataset, system or constraint.
Talk to us →
How we work
From hard problem to deployable workflow.
We start with real scientific or engineering constraints, translate them into modelled workflows, build usable software around the method and validate the result against technical reality.
01
Discover
Map the scientific question, domain constraints, available data and decisions the system must support.
02
Model
Translate expert method into computable workflows with assumptions, uncertainty and validation paths made explicit.
03
Build
Turn prototypes into interfaces, APIs and automation that technical teams can use repeatedly.
04
Protect the edge
Partner data, IP and product details stay private while the platform improves from validated use cases.
Open Science
Science, shared openly.
Partner R&D stays confidential. Alongside it, Chakradhari maintains an open science programme — software, technical explainers and video shared with the wider research community.
Open-source tools
Reusable scientific computing components, released under permissive licenses as real work becomes shippable.
Science communication
Compute Stories and other channels — explanations, walkthroughs and demonstrations of how we think.
Publications & talks
Founder publications, conference participation and technical notes, published as they're ready.
Open-source tools, publications, talks and explainers — kept separate from confidential partner work.
Explore Open Science →
How We Partner
Selective R&D partnerships with labs, universities and funded programmes.
Chakradhari joins research groups and consortia as a computational R&D partner — for proposals, funded work packages, technical feasibility studies and product-oriented research. We also support technical briefings and proposal workshops alongside funded engagements.
Sensing & Inverse Problems
Radar, SAR, GPR, electromagnetic modelling, retrieval, inversion and sensor fusion.
Earth & Environmental Intelligence
Remote sensing, environmental monitoring, soil-water systems and multi-temporal analysis.
Scientific AI & Modelling
Physics-aware AI, numerical modelling, surrogate models, simulation and digital twins.
Scientific Software
Model coupling, legacy-code modernisation and reproducible research-to-production engineering.
Grant & Consortium Support
Technical partner input for funded proposals, work packages, milestones and validation plans.
Fundable plans
Build with labs
Validate in context
Ship usable systems
University labs, research groups, funded consortia and R&D teams can start with a conversation.
Start a conversation
Company
A deep-tech scientific R&D company, built in Bengaluru for a global research community.
Chakradhari Computational Technologies is incorporated in Bengaluru. We combine electromagnetic sensing, environmental modelling, scientific computing and AI to help research teams turn hard physical-science problems into working systems.
The name carries meaning: the chakra stands for vision, precision and purposeful action — Chakradhari, one who carries it forward. We read that as carrying deep technical knowledge into working systems.
Deep technical operators
Scientific computing, applied AI, sensing, modelling, research strategy and engineering experience brought into one product company.
India to the world
Built in Bengaluru for global teams working on complex physical, environmental and engineered systems.
One coherent capability
Physics, sensing, computation and AI treated as a single discipline, not separate service lines.
Contact
Start a conversation.
For research teams, universities, funded programmes and investors working on problems in sensing, Earth systems or scientific AI.
Studio
Om Chambers, 648/A, 4th Floor,
1st Stage, Indiranagar,
Bengaluru 560038, Karnataka, India
1st Stage, Indiranagar,
Bengaluru 560038, Karnataka, India
Web
www.cctech.in
Focus
Design partners, research labs, grant proposals, technical pilots and investor conversations