KiteFishAI
KiteFishAI provides compact, domain-tuned language models (0.6B to 10B parameters) designed for sovereign, on-premise deployment in regulated industries. The company offers open-source base models on Hugging Face, with fine-tuning for BFSI, healthcare, pharma, and legal workflows, enabling enterprises to run AI within their own infrastructure while maintaining data control and governance.
- Artificial Intelligence
- Regulatory & Compliance Technology
- Software Only
- Financial Technology
- Healthcare Technology
- Legal Technology
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
Enterprises in regulated industries such as banking, healthcare, and legal often rely on generic AI systems that require sending sensitive data to external cloud providers, creating privacy, compliance, and governance risks. Additionally, large general-purpose models are costly to run, difficult to fine-tune for domain-specific terminology and workflows, and impractical for on-premise deployment, limiting their adoption in production environments.
Solution
KiteFishAI provides a family of compact, high-performance language models designed for sovereign, private deployment. The models range from 0.6B to 10B parameters and are built on open-source foundations, allowing organizations to evaluate and adapt them freely before moving into production. KiteFishAI offers domain fine-tuning for BFSI, healthcare, pharma, and legal workflows, enabling models to understand industry-specific terminology, document structures, and risk logic. The models are engineered for on-premise, air-gapped, or private cloud environments, ensuring sensitive data remains within the organization's infrastructure and governance boundaries. The company also provides enterprise support for custom deployments, helping teams integrate models into their existing operational constraints around cost, latency, and controllability.
Target Audience
Primary customers are enterprises in banking, financial services, healthcare, pharma, and legal sectors that need private, domain-tuned AI models for regulated workflows where data privacy, accuracy, and operational control are critical.
Features
- Model family spanning 0.6B to 10B parameters, including OCR, embeddings, reasoning, speech, vision-language, and math models
- Open-source base models available on Hugging Face for free evaluation and fine-tuning experiments
- Domain fine-tuning for BFSI, healthcare, pharma, and legal workflows, covering compliance analysis, credit risk reasoning, regulatory Q&A, financial report summarisation, and document summarization
- Sovereign deployment options including on-premise, air-gapped, and private cloud environments
- Compact model design optimized for lower inference cost, faster deployment cycles, and practical edge environments
- Enterprise support for custom domain fine-tuning and production integration