Coming Soon
The models powering intelligence in
emerging markets
We believe AI should feel native to everyone — built
on local data, tuned to local realities, and designed to
adapt.
About
We are developing Large Language Models (LLMs) and Sectoral Language Models (SLMs) trained on the market realities, local systems, and commercial nuances of emerging markets.
Exa Intelligence Models
Artificial Intelligence; equitable
and native by design.
Data Ingestion & Provenance
Structured and unstructured corpus sourced from enterprise systems, sector-specific data partnerships, operator feedback loops, and validated local sources.
Data Processing & Qualification
Pipelines for cleaning, parsing, and enriching raw inputs. Includes de-duplication, domain tagging, and tokenization strategies optimized for low-resource languages and dialect variance.
Model Training (LLM & SLMs)
LLMs for broad multilingual reasoning and SLMs specialized for industries like logistics, finance, energy, and healthcare. Trained with parameter-efficient methods such as LoRA, Mixture-of-Experts, and quantization-aware techniques.
Alignment & Evaluation
LLMs for broad multilingual reasoning and SLMs specialized for industries like logistics, finance, energy, and healthcare. Trained with RLHF.
Deployment Infrastructure
Cloud-native and edge-compatible deployment with auto-scaling, model versioning, and A/B testing capabilities. Optimized for latency-sensitive applications.
Applications & APIs
REST and GraphQL endpoints for seamless integration. SDKs for popular frameworks. Pre-built operators for common use cases like customer service, document processing, and decision support.