
Poka Labs provides an AI platform for chemical operations, enabling leading chemical companies to automate processes from quote to shipment and enhance customer experiences. Their solutions include…

Poka Labs provides an AI platform for chemical operations, enabling leading chemical companies to automate processes from quote to shipment and enhance customer experiences. Their solutions include…
Headquarters / HQ region: San Francisco area
Product focus: AI agents for commercial operations (pricing, quoting, production scheduling, batch records)
Founding year: 2023
Founders: Malay Shah (Co‑Founder & CEO), Andrew Bass (Co‑Founder & CTO)
YC: Y Combinator S24
Early investors (reported): Liquid 2 Ventures, Pioneer Fund, Flybridge, Y Combinator
Commercial operations and production operations for specialty chemicals and industrial manufacturers.
2023
Data and Analytics
2500000
Public profiles indicate YC participation (YC S24) and early investors including Flybridge, Liquid 2 Ventures, Pioneer Fund, and Y Combinator.
“YC participation and named early investors including Flybridge, Liquid 2 Ventures, Pioneer Fund, and Y Combinator”
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The Opportunity The $6 trillion chemical industry runs the physical economy but still relies on email and Excel.
We are bring agentic AI to the industry, starting with quoting and pricing tools. We are already deployed in major manufacturers and distributors, including Fortune 100 companies. We are looking for scrappy engineers to help scale and own these systems.
Our Products
Quote Automation \ Our agent starts with an email exchange between and account manager, matches the request to the product catalog, asks clarifying questions, and determines the right price (including tariffs, freight, currency exchange). We what is often a weeklong process involving several people and turn it into a 5 minute process. This saves account managers hours each week, improves turnaround time, win rate, and margin.
Bulk Repricing \ Chemical companies have an extensive catalog, often 20K+ items. We make the process of determining optimal catalog and customer specific prices sane and manageable.
Technical Sales
coming soon, help us build it!
Role: Full Stack/AI Intern
Overview
This is a zero to one role. You will own large, ambiguous problem areas and ship production AI agents used daily by sales teams, operators, and plant managers.
In Your First 30 Days, You May
What you will work on?
What we look for
Our stack is nothing crazy but helps us ship fast: Typescript, Next, React. We use a mix of LLM models from OpenAI, Gemini, and Anthropic, pick the right one for each use case.
What you get
We are building the intelligence layer of modern manufacturing and we would love to talk if this excites you.
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