Synapze provides Sovereign AI solutions through its TinyAI technology, enabling enterprises to deploy custom, explainable AI models entirely within their own infrastructure. This approach ensures complete data sovereignty, operational autonomy, and compliance by eliminating reliance on external cloud providers. The platform integrates with existing automation tools to deliver fast, cost-effective decision intelligence that is fully owned and auditable by the client.
Funding
$110K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial institutions face challenges in automating document processing and other back-office tasks due to privacy concerns, high operational costs, and the need for specialized hardware like GPUs. Traditional large language models (LLMs) often require cloud deployment, which can be problematic for organizations with strict data governance and compliance requirements.
Solution
Synapze's TinyAI offers a privacy-compliant AI solution tailored for the financial services industry, enabling on-premises or private cloud deployment without the need for GPUs. This approach significantly reduces operational costs while ensuring data remains secure within the institution's environment. TinyAI automates manually intensive processes, such as document processing and data aggregation, leading to substantial efficiency gains. The platform integrates seamlessly with existing robotic process automation (RPA), enterprise content management (ECM), and no-code platforms, enhancing their capabilities with AI-driven intelligence. By using custom AI models trained on specific data, TinyAI delivers explainable and scalable automation, allowing financial institutions to make faster, more informed decisions while adhering to regulatory standards. The solution's architecture prioritizes data privacy, ensuring compliance with stringent industry regulations and internal policies.
Target Audience
The primary target audience includes financial services companies, regulated industries, and organizations seeking to automate document processing and back-office tasks while maintaining strict data privacy and compliance.
Features
- On-premises or private cloud deployment for enhanced data security and compliance
- Low-latency models (<300MB) that run in parallel without requiring GPUs
- Custom AI models trained on client data for hyper-personalized automation
- Seamless integration with existing RPA tools (e.g., UI Path, Power Automate) via Kubernetes
- Explainable AI with single-variable output for transparency and auditability
- Ability to build custom TinyAI models on the platform (coming soon)
- Integration with existing databases for AML, PEP, and other data aggregation purposes