Anamika Research

Engineering innovation through AI-driven design, R&D, and intellectual property — building differentiable CAD kernels, adjoint CFD solvers, and unified 1D-to-3D design frameworks, with deep expertise in turbomachinery: axial and radial compressors and turbines.

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Who We Are

Anamika Research is a DPIIT-recognised deep tech startup and engineering R&D company specialising in AI-driven shape optimisation and design tools, with deep expertise in turbomachinery. We develop differentiable CAD kernels, adjoint CFD solvers, and unified 1D-to-3D design frameworks — building a portfolio of intellectual property and offering consulting, prototyping, and training services to the aerospace, energy, and automotive industries.

Our Platform

A single differentiable pipeline — from 1D sizing to 3D manufacturable geometry.

Differentiable CAD Kernel

CAD models of the blade generated from meanline parameters, computing exact geometric surface sensitivities for every design parameter — blade angles, thickness, camber, lean, sweep, hub/shroud contours — and producing manufacturable geometry with minimal manual intervention.

1D-to-3D Unified Framework

RADAE meanline sizing through full 3D RANS optimisation with AnamikaCFD in one framework — a Newton-Krylov adjoint solver (published in an AIAA journal) coupled to an adaptive meshing tool. Design-variable gradients w.r.t. objectives are evaluated exactly.

LLM-powered

Natural-language control via Model Context Protocol (MCP) servers — build workflows, change objectives, analyse results, and generate visualisations. Indian-language localisation (Hindi, Tamil, Telugu, Kannada, and more).

What We Do

From end-to-end aerospace and turbomachinery design and CFD consulting to IP development, prototyping, HPC/GPU hardware, and training — we span the full path from research to manufacturable hardware.

Let’s Build Together

We work with gas-turbine and turbocharger OEMs, aerospace propulsion teams, the oil & gas industry, the UAV & drone industry, and academic research labs.