BaseFrame
Product & Competitive Intelligence
Helps hardware engineers find components in seconds with AI search inside Slack and Teams.
Company Overview
An AI-powered copilot for hardware engineering teams that searches electronic components, parses datasheets, and streamlines project scoping directly within Slack and Microsoft Teams using natural language queries.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
Slack/Teams-embedded copilot for natural language component search, live pricing/availability, and datasheet parsing. Also exploring Clam (Semantic Firewall) for enterprise AI agent security.
Signals & Private Analysis
The founders appear to be exploring or pivoting to 'Clam,' an enterprise AI agent security product that scans every AI message for personal info leaks, prompt injection, and malicious content. This suggests either strategic optionality or a pivot toward the higher-TAM enterprise AI security market.
Product Roadmap Priorities
AI-powered natural language search across millions of electronic components, enabling engineers to find parts by describing needs in plain English within Slack or Teams.
Instead of memorizing part numbers or digging through catalogs, engineers just ask their Slack bot "find me a 3.3V low-dropout regulator under $0.50 with automotive temp range" and get instant, accurate results.
It's like having a genius electronics librarian living in your Slack channel who instantly knows every part in every catalog and never takes a lunch break.
AI-driven datasheet parsing that automatically extracts, structures, and summarizes technical specifications from PDF datasheets for instant engineering reference.
Instead of reading a 200-page PDF to find one pin configuration table, the AI reads it for you and pulls out exactly what you need in seconds.
It's like turning every 300-page datasheet into a smart friend who already read it and highlighted the important parts for you.
Conversational AI agent that helps hardware teams scope new projects by recommending component architectures, flagging design risks, and estimating BOM costs through interactive dialogue.
Instead of spending two weeks in meetings debating which chips to use for a new product, the team chats with an AI that suggests architectures, flags risks, and estimates costs in real time.
It's like having a senior hardware engineer with photographic memory of every component ever made sitting in every design meeting, except this one never gets tired or forgets what was decided last Tuesday.
Company Overview
Key Team Members
- Anshul Paul, Co-Founder
- Vaibhav Agrawal, Co-Founder
Founder Force Multiplier
Both founders are from UC Berkeley Robotics and built robotics projects, experiencing hardware component selection pain firsthand. They are both the builder and the user. The potential pivot to Clam (AI agent security) would leverage their systems-level engineering skills in a rapidly growing market.
Funding History
- 2025-2026 | Anshul Paul and Vaibhav Agrawal co-found BaseFrame.
- 2026 | Accepted into Y Combinator W26 batch.
- 2026 | Product live in Slack/Teams. Exploring Clam AI security product.
Competitors
- Component Search: Octopart (Altium), FindChips, SnapEDA.
- EDA-Adjacent AI: Celus, Jitx.
- Supply Chain Intelligence: Supplyframe (Siemens), Z2Data, SiliconExpert.
