The Story & Evolution
From Simple Folds to Sovereign AI
Just like origami transforms simple paper into intricate geometric creations, we engineer foundational AI by discovering root mathematical laws rather than relying on brute-force statistical models. Here is how our research bifurcated into two foundational breakthroughs.
Indic Computational Linguistics
empowerpoint.net
The Evolution of Anasua
How automated presentations across Indian languages led to Pāṇinian grammar automata, the script-barrier breakthrough, and real-time paired cross-lingual dialogue.
STEP 01
Charbak (Presentation AI): We began by automatically generating slide decks across Indian languages. We quickly discovered that every presentation is a story—the real bottleneck wasn’t slide formatting, but human communication across languages.
STEP 02
Project Aindrak: We turned to computational linguistics, formalizing Pāṇini’s 4,000 Aṣṭādhyāyī rules into deterministic finite-state transducers, mapping semantic root derivations (dhātu-pratyaya) without statistical hallucinations.
STEP 03
The Script Barrier Insight & Shabdakalpadrum: We recognized that Indian languages share deep lexical vocabulary; the real barrier preventing mutual comprehension was unfamiliar scripts. Shabdakalpadrum was born as a sub-5ms on-device cross-script transliteration engine across 26 scripts.
STEP 04
EmpowerPoint® Anasua: We unified these breakthroughs into a production mobile and web application featuring ephemeral paired rooms, real-time cross-script voice and text dialogue, and strict zero-cloud data retention.
Sovereign Generative Video
samavid.com
The Evolution of Samavid
How solving AI video drift led to Pāṇinian Karaka action grammar, keyframe anchoring, and production-grade coherent generative cinema.
STEP 01
The Long Video Dilemma: While generative AI can produce striking 3–5 second clips, it severely drifts across longer narratives—faces mutate, costumes shift, and props vanish because stochastic diffusion lacks causal memory.
STEP 02
Pāṇinian Karaka Action Grammar: We realized a cinematic story is a sequence of grammatical sentences. In Karaka theory, every shot has a singular active Kartā (driver), Kriyā (action), and Karma (object). People and environments remain strictly invariant under ownership transfers.
STEP 03
Mahaprobot & I2V Anchoring: We conquered the ~10% storyboard generation variance of LLMs by generating key narrative beats as "Stop Images", back-filling "Start Images", and directing AI models strictly to synthesize the causal motion bridge between endpoints.
STEP 04
Project Samavid Core: We engineered an enterprise pipeline around Locked Triplets
[Start ➔ Motion ➔ Stop], an automated Karaka verification loop, and dynamic self-healing in-painting masks that preserve character identity across entire films.
