MASK ANE-2026.08 // CELL 01: COGNITIVE SUBSTRATE

Evidence instead of assumption.

Adhishtanam Research builds neural foundation models and multi-domain intelligence fusion platforms to predict human cognitive responses and integrate heterogeneous records for high-stakes decisions.

SYSTEM // SPEC 2026.08● ACTIVE

Flagship Model

Adhishtanam Neural Engine (ANE)

10B multimodal parameters predicting cognitive activation priors.

Intelligence Graph

Bhairava Platform

Multi-domain entity resolution & queryable graph architecture.

Commercial Deployment

Wreltik ↗

Neural prediction for advertising and short-form engagement.

SYSTEM 01 // ADHISHTANAM NEURAL ENGINE

Adhishtanam Neural Engine (ANE)

A high-performance Multimodal Neural Foundation Model designed to map sensory inputs — text, audio, video, and imagery — directly to specific neural activation responses.

MOD // 01

Multimodal Processing

Processes text, 15-second visual sequences, and complex audio landscapes into unified representation tensors.

MOD // 02

Precision Mapping

Predicts activity in key regions including Nucleus Accumbens (Reward anticipation) and Insular Cortex.

MOD // 03

Proprietary Weights

Trained on high-fidelity fMRI and EEG neuro-response datasets for fine-grained prediction.

MOD // 04

Demographic Calibration

Optimized for linguistic nuances and demographic neuro-responses across regional populations.

SYSTEM 02 // RESEARCH & PRODUCT MODULES

Current Systems & Deployments

GRAPH FUSION ENGINE

Bhairava

Multi-domain intelligence fusion platform ingesting financial, telecom, social, logistics, geospatial, corporate, and criminal records into a unified queryable graph.

• Cross-domain entity resolution

• Sub-second graph traversal over billion-node datasets

• Secure air-gapped deployment capability

COMMERCIAL APPLICATION

Wreltik ↗

ANE-powered neural prediction for advertising and short-form video content. Predicts attention, emotional engagement, and memory encoding before campaign publication.

• Pre-flight video engagement scoring

• Second-by-second emotional retention curves

• Direct API access for agency workflows

METHODOLOGY // EVIDENCE BANK

Evidence over assumption

Our research methodology prioritizes empirical neuro-recording validation over heuristic guesswork.

01. fMRI BOLD

Deep hemodynamic brain activity mapping for localized reward and friction signals.

02. High-Density EEG

High temporal resolution millisecond event-related potential tracking.

03. Signal Fusion

Cross-modal correlation between physiological data and multimodal model outputs.

COMMUNICATION // BRIEFING REQUEST

Request a Research Briefing

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CONFIDENTIAL TRANSMISSION

DIRECT EMAIL[email protected]

SLA: Response delivered within 2 business days.

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