Trikonamiti Neural Labs builds the next generation of neuro-symbolic intelligence. We unite symbolic reasoning with neural perception to solve math, diagrams and science with precision, explainability and real-world rigour.
Giyamiti is our flagship neuro-symbolic engine for STEM diagrams. It reads a sketch, extracts the exact relationships that hold inside it, and reconstructs the figure as clean, editable SVG. Built for scientists, educators and engineers who need diagrams they can depend on.
Giyamiti does not guess. It extracts the actual measurements and proportions from a hand-drawn figure, and generates a geometrically exact SVG from them.
What appears in the output was present in the input. The engine does not fill gaps with plausible-looking detail, and anything it cannot resolve is reported rather than quietly invented.
A highly customised inference pipeline produces large, complex outputs while consuming a fraction of the computational tokens — which is what keeps the product affordable.
Empowering DTP operators to generate zero-error, fully editable diagrams with one click through AI-driven rendering.
Advanced 3D rendering for STEM diagrams, turning complex science and math visuals into immersive, editable models.
An interactive class board that plugs into live teaching. Educators draw freely and get an exact, interactive diagram back in the same moment.
Expanding the neural pathways. Moving beyond sketch-to-SVG to text-to-diagram generation, and then to text and image together.
Our own AI-native document format — a notepad where text and Giyamiti diagrams live together, and a diagram described inside a document becomes a real figure in place.
The visual IDE. A code-editor-style interface for building ultra-complex structures — protein folding and semiconductor architecture among them.
Building from the ground up: uniting language models, world models and Giyamiti's symbolic geometry into a single architecture for reasoning and perception.