Inquisita offers a document‑intelligence platform that connects enterprise LLM subscriptions to large, heterogeneous document repositories. It ingests, stores, and indexes PDFs, images, audio, video, and spreadsheets at high throughput, then provides a real‑time API for AI agents to search, retrieve, and analyze content using connected models like Claude, Copilot, ChatGPT, and Gemini, all with usage‑based pricing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to enable their existing large language model (LLM) subscriptions to work efficiently with massive collections of documents. Traditional AI tools require separate platforms, introduce data silos, and cannot process thousands of pages quickly, limiting the value of AI investments in document‑intensive workflows such as legal discovery, compliance, or knowledge management.
Solution
Inquisita provides a document‑intelligence layer that connects directly to leading LLMs (Claude, Copilot, ChatGPT, Gemini) and handles the ingestion, storage, and retrieval of large document repositories. The platform processes documents at scale—analyzing thousands of pages per minute—while exposing a simple API that lets the user’s AI agent perform search, organization, and analysis without silent failures. By offloading document‑level processing to cost‑efficient, high‑throughput models, Inquisita lets organizations keep the reasoning capabilities of their subscribed AI while avoiding the need for additional AI platforms. Results are returned to the AI agent in real time, enabling seamless integration into existing workflows and preserving data control within the customer’s environment.
Target Audience
Primary customers are enterprises and professional teams—such as legal, compliance, and knowledge‑management groups—that rely on large language models for document‑intensive tasks and need a scalable, cost‑effective way to extend those models over their own repositories.
Features
- High‑throughput ingestion pipeline supporting PDFs, images, audio, video, and spreadsheets with per‑page or per‑unit pricing
- Scalable storage layer with encrypted document storage and automatic roll‑over of unused prepaid balances
- Token‑based analysis tiers (low, medium, high) that balance speed and depth of reasoning for different workload requirements
- Native connectors for Claude and other LLMs, allowing AI agents to search, retrieve, and draft directly from the document corpus
- Real‑time query API that returns structured results to the AI agent, eliminating silent failures or skipped documents
- Usage‑based billing model with transparent rates for ingestion, analysis tokens, and storage, no per‑seat fees or long‑term contracts