Purpose-Driven AI for Public & Private Sectors

At GAHNA – AI Model Factory, we are specializing in a new era of sovereign, domain-specific AI by building Small Language Models (SLMs) - compact, precise, and context-aware models designed for real-world applications across government and industry. Unlike generic LLMs, GAHNA SLMs will be optimized for speed, transparency, control, and deployment in constrained environments, on-premise, edge devices, or air-gapped systems.

By training indigenous models on contextual, policy-aligned data, we enable enterprises and governments to deploy AI systems that are not just intelligent but auditable, deterministic, and tailored to sectoral needs. GAHNA initiative will deliver a series of specialized SLMs - for governance, finance, healthcare, agriculture, and beyond - built in collaboration with domain experts and institutions.

Why GAHNA SLMs?

🔹 Purpose-built for governance, enterprise, and regulatory use cases
🔹 Lightweight, fast, and secure, deployable on local infrastructure
🔹 Controlled and deterministic, unlike unpredictable generative models
🔹 Easier to audit, fine-tune, and integrate into operational workflows
🔹 Ideal foundation for Agentic AI systems requiring reliable domain reasoning
🔹 Scalable strategy - every department, agency, and enterprise can have its own SLM

Technically Unique Approach

🔹 Domain-Calibrated Architectures - Transformer stacks with field-aligned embeddings, optimized for token-constrained decision tasks.
🔹 Structured Tokenization Pipelines - Combines BPE with semantic field markers for precision over compression.
🔹 Synthetic + Rule-Based Supervision - Training data generated from formal policy logic trees, ensuring legal and regulatory consistency in predictions.
🔹 Composable Micro-SLMs - Modular SLMs act as callable inference units in agentic systems, allowing domain chaining (e.g., Scheme Eligibility → Document Requirement → Grievance Flow).
🔹 Inference-Aware Optimization - Quantized weights, sparse attention, and ONNX export enable low-latency deployment on mobile, edge, and air-gapped infra.
🔹 Built-in Compliance Hooks - Model-internal filters for policies and governance, auditability layers, and field-level masking for regulated attributes.