GAHNA CyberMind Beta (Ready for Launch)

GAHNA CyberMind

A flagship Small Language Model (SLM) built for cybersecurity and threat‑intelligence. Designed for SOCs (Security Operations Centres), critical‐infrastructure agencies, financial institutions and national cyber‑defence operations, CyberMind delivers explainable, auditable, real‑time support for cyber‑defence workflows. Key capabilities include threat‑intelligence correlation (mapping to frameworks such as MITRE ATT&CK), rapid triage of incidents, generation of structured remediation‑recommendations, and deployment‑ready lightweight architecture suitable for on‑premises, air‑gapped or edge environments.

GAHNA UPI‑ODR (Online Dispute Resolution)

A dedicated SLM designed to automate and optimise UPI dispute‑resolution, chargeback handling and transaction‑monitoring for India’s rapidly expanding digital payments ecosystem. Built in alignment with RBI/NPCI norms and enterprise regulatory frameworks, UPI‑ODR delivers faster resolution times, higher accuracy, auditable decision logs, and domain‑specific reasoning for financial‑services and fintech deployments.This is a sample text

GAHNA 0.1B Scheme Eligibility Checker

Domain: Government Welfare and Scheme Access
Tagline: Sarkari Yojanaayein Mutthi Mein (Government Schemes in Your Hands)

GAHNA 0.1B will mark the beginning of a new era in sovereign AI - one where domain-specific intelligence is delivered at scale with minimal compute, maximal control, and verifiable precision. This compact, production-grade Small Language Model (SLM) is engineered to instantly determine which central and state government schemes a citizen is eligible for, based on structured demographic, socioeconomic, and regional inputs - without relying on massive LLM infrastructure or opaque APIs.

Unlike generative LLMs, Gahna 0.1B is architected for deterministic, rule-aligned classification, trained on synthetically generated profiles grounded in real government eligibility frameworks. It offers zero hallucination, consistent performance, and field-specific interpretability - essential for use in governance applications.

🔹 🔹 Technical Summary:
🔹 Model Size ~100 Million Parameters - optimal for structured classification tasks and real-time eligibility reasoning
🔹 Architecture - Custom transformer optimized for field-token attention, sparse activation, and lightweight deployment
🔹 Input Format - Structured citizen profile: age, gender, income, caste, education, state, etc.
🔹 Training Corpus ~100M tokens, synthetically generated and rule-labeled based on policy trees, with edge-case augmentation
🔹 Inference API RESTful FastAPI microservice with <100ms latency on CPU
🔹 Deployment Footprint Runs on <8GB RAM; supports CPU-only and quantized edge deployment
🔹 Serving Format Dockerized, ONNX-exportable, and inference-aware for both cloud and offline mobile environments

Key Differentiators

🔹 No hallucinations, no free-form prompts - fully controlled, explainable outputs via structured API calls
🔹 Central + State scheme coverage, with modular extension for region-specific customization
🔹 Mobile-first design - deployable on low-resource Android devices, kiosks, or edge gateways
🔹 Secure by default - no external API calls, no data leaves infrastructure boundaries
🔹 Language agnostic architecture, enabling easy multilingual tuning (Hindi, Marathi, Bengali, Tamil, etc.)

Coming Next in the Gahna-GOV Family

Following the successful rollout of Gahna-GOV-0.1B, our roadmap expands into targeted adaptations to ensure inclusivity, localization, and last-mile accessibility across India’s diverse governance landscape.

🔹 🔹 Gahna-GOV-HIN – Hindi-First Scheme Eligibility Model
A multilingual version of the Gahna model trained specifically for Hindi-language inputs and outputs. Citizens will be able to query scheme eligibility using natural Hindi phrases or structured fields in Hindi.
🔹Incorporates Devanagari tokenization, colloquial variants, and region-specific vocabulary
🔹 Trained on transliterated and bilingual profiles from Hindi-speaking states
🔹 Built for integration with state portals, chatbots, and IVR systems

🔹🔹 Gahna-GOV-MAR – Maharashtra-Centric Custom Model
A state-optimized SLM tailored for Maharashtra’s central and regional welfare schemes, subsidies, and benefit eligibility frameworks.
🔹 Covers state-level programs like Shiv Bhojan, Panlot Vikas Yojana, Savitribai Phule Scholarship, etc.
🔹 Uses Marathi-aligned token sets and localized demographic markers (e.g., taluka, caste groups, occupation codes)
🔹 Supports language toggling, district-wise rule variations, and dynamic scheme updates via version control

🔹🔹Gahna-GOV-OFFLINE – Edge-Deployable Mobile Model
A fully quantized, low-footprint variant of the Gahna model designed for offline usage in Gram Panchayats, CSCs, and field service devices.
🔹 Runs efficiently on Android phones, tablets, and low-power edge hardware
🔹 Requires <200MB storage, <1GB RAM, and performs real-time inference without internet
🔹 Perfect for areas with low or no connectivity, enabling scheme access at the last mile