Concept

PhotonIQ is an AI-powered search engine and copilot for optical and laser engineers. It transforms the frustrating, multi-day process of component selection into a simple, conversational search. We use a multimodal AI to ingest, read, and understand thousands of PDF datasheets from component manufacturers, extracting every specification, performance graph, and compatibility note. This allows engineers to find the perfect laser diode, lens, or sensor in seconds, not days.

Value Proposition

For hardware engineers building laser-based systems, PhotonIQ eliminates "Datasheet Hell." Instead of manually downloading and comparing dozens of PDFs, you can simply ask: "Find me a 520nm laser diode with a TO-38 package, single-mode, that works well with a driver from Analog Devices." PhotonIQ provides instant, comparable results and suggests compatible components, dramatically accelerating the R&D cycle and reducing costly design errors.

AI Integration

• Data Ingestion: A custom multimodal AI model processes PDF datasheets, using OCR for text/tables and computer vision to interpret and digitize data from graphs (e.g., Power vs. Current, Wavelength vs. Temperature).
• AI-Powered Search: We use a Retrieval-Augmented Generation (RAG) architecture. User queries are converted into vector embeddings to find the most relevant components from our structured database.
• Compatibility Engine: A machine learning model, trained on component specifications, predicts and recommends compatible parts (e.g., drivers, lenses, mounts) for a selected component, forming a complete system.

First MVP

The MVP will be a web application focused exclusively on laser diodes from the top 10 global manufacturers.

• A single, powerful search bar that accepts natural language queries.
• A results page that displays a clean, standardized comparison table of matching diodes.
• For each result, show the key specs extracted by the AI and provide a direct link to the source datasheet PDF. The initial goal is to prove we can solve the core search problem better than anyone else for this critical component category.

Unique Selling Points

• Search Inside the Graph: Our AI is the only tool that can search based on performance characteristics locked inside datasheet graphs, not just tabular data.
• Natural Language for Hardware: We speak the language of engineers. No more rigid parametric filters.
• Instant Compatibility Checks: Save hours of cross-referencing by getting instant suggestions for compatible parts, turning a search engine into a design copilot.

Concept

Momentum AI is a SAAS platform that acts as an on-demand AI analyst for Venture Capitalists. By simply providing a startup's name or website, an analyst receives a comprehensive, structured "first-draft" due diligence report in minutes, not days. This automates the most time-consuming research tasks, allowing VCs to focus on strategic analysis and decision-making.

The MVP

The first version of Momentum AI will be a simple web application with a single input field.

• A user (VC analyst, associate) enters a company's domain name.
• The AI agent then scours a curated list of public sources (e.g., the company's website, LinkedIn for key employees, TechCrunch/news APIs, Product Hunt, social media).
• Within 5-10 minutes, it generates a concise, structured report that includes:
  • Company Summary: What the company does, its mission, and its business model.
  • Founding Team: A brief bio of key founders, highlighting relevant experience and past ventures.
  • Competitive Landscape: A list of direct and indirect competitors with a brief analysis of their positioning.
  • Market Signals: A summary of recent news, product launches, or significant social media activity.
• Crucially, every piece of information in the report will be cited with a direct link to the source to ensure transparency and allow for human verification.

AI Incorporation

Momentum AI leverages a modern AI stack to deliver its value.

• Agentic Web Crawlers: AI agents are deployed to intelligently navigate and scrape data from public websites, understanding the structure of pages to find relevant information like founder profiles or product descriptions.
• Large Language Models (LLMs): Generative AI is used to read, understand, and summarize the vast amounts of unstructured text gathered by the crawlers. It synthesizes this information into the coherent, structured sections of the final report.
• Information Synthesis: The core AI function is not just data aggregation but intelligent synthesis—transforming scattered data points from across the web into a concise, actionable intelligence brief.

Unique Selling Points

• Speed: Reduces preliminary research time from 8-10 hours to under 10 minutes, drastically increasing the number of companies an analyst can evaluate.
• Focus: Unlike broad market intelligence platforms (e.g., Crunchbase), Momentum AI is a purpose-built tool designed specifically for the VC due diligence workflow. It provides answers, not just raw data.
• Actionable Output: The output is not a dashboard but a structured, easy-to-read memo that can be directly used in investment committee meetings, saving analysts the trouble of drafting it themselves.
• Verifiability: By citing every data point, it builds trust and allows analysts to quickly dive deeper into any area, combining the best of AI efficiency with human oversight.