Tensorlake AI is an enterprise-grade AI data cloud platform whose core function is to reliably convert unstructured data—such as documents and images—into structured formats ready for direct use by large language models (LLMs) and RAG applications.
It uses a usage-based pricing model, for example, document parsing billed per page ($0.01/page), serverless workflows billed by GPU/CPU usage duration, with no additional storage or bandwidth fees.
Supports parsing PDFs, complex spreadsheets, Word documents (including tracked changes), images, slides, handwritten notes, and other unstructured formats.
No. The platform provides a zero-ops serverless architecture where workflows run and scale on demand, and you don't need to manage Kubernetes, queues, or other infrastructure.
The platform is designed for high throughput, handling tens of thousands of requests per day, with distributed, fault-tolerant execution environments, and GPU acceleration to speed up processing.
Especially suitable for Python developers and data engineers; the platform provides a Python SDK and API, enabling direct integration and development with your existing ecosystem.
Genspark AI is an integrated AI workspace that uses a multi-agent collaboration system to help users automate complex workflows—from research and planning to content generation and execution.
TextCortex AI is an enterprise-grade AI knowledge management and content creation platform. By consolidating scattered information across the organization into a unified knowledge base, it delivers intelligent content generation, workflow automation, and data-driven decision support.
