Trellis AI

Trellis AI

Data Infrastructure and Analytics

AI-powered workflow for unstructured data

About us

Building the AI-powered data platform for Unstructured Data. Trellis AI engine transforms documents, calls, and images into structured SQL format that can be used by data and operations team. Backed by Y Combinator, General Catalyst, Telesoft Partners, Carya, & investors/execs at Google, Salesforce, and JP Morgan.

Website
runtrellis.com
Industry
Data Infrastructure and Analytics
Company size
11-50 employees
Headquarters
San Francisco
Type
Privately Held

Locations

Updates

  • View organization page for Trellis AI, graphic

    401 followers

    Feature update: Trellis now supports audio file uploads! 🎉 You can now analyze sentiment, identify area for improvements, grade calls against SOPs and more from thousands of calls at the same time. 📞 ✅ Whether you're managing customer support or sales teams, this helps you uncover valuable insights from conversations at scale. 🚀

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  • Trellis AI reposted this

    View profile for Mac Klinkachorn, graphic

    Leveraging unstructured data @ Trellis | Stanford AI, YC

    Excited to share the latest from Trellis! 🚀 We teamed up with PostgresML to make searching through Y Combinator job listings easier and faster. Trellis transforms raw, unstructured data into a data into searchable insights, while Korvus handles lightning-fast semantic search. Together, we're turning job data into something you can quickly explore and understand. Check out the details the full article here: https://lnkd.in/gEYkcxVg

    Korvus x Trellis: Semantic search over YC jobs – PostgresML

    Korvus x Trellis: Semantic search over YC jobs – PostgresML

    postgresml.org

  • Trellis AI reposted this

    View profile for Kanishka Khanna, graphic

    Product Builder | Founder | (ex-Bluevine, Mastercard)

    Are you a Fintech dealing with messy data buried in PDFs, emails, or call transcripts? Think contracts, financial statements, order forms...isn't it such a headache?? 🤯 Mac Klinkachorn reached out to tell me about Trellis! His new solution uses AI to tackle this problem head-on, transforming unstructured data into clean, structured SQL formats. It handles everything from financial statements to customer support logs, making your data ready for analysis and decision-making. It’s more than just automating data entry—it’s about transforming how unstructured data is managed, making the process smoother and more efficient for everyone involved. Check out the free demo environment in the comments.

    View organization page for Dilly Labs, graphic

    134 followers

    Double digits, baby! It’s our 10th edition! Have you ever walked up to an underwriter trying to explain how they made a decision on a file and they kinda look like Charlie? It's no secret that unravelling enterprise and business data for underwriters can be an exercise in futility - too much information fragmented across too many different source. Unstructured data, like phone calls, PDFs, and chats, often makes up 80% of enterprise data, yet traditional platforms struggle to handle it. This platform transforms this messy data into structured SQL format based on any schema you define in natural language, automating what was once a tedious manual process.

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  • View organization page for Trellis AI, graphic

    401 followers

    View profile for Mac Klinkachorn, graphic

    Leveraging unstructured data @ Trellis | Stanford AI, YC

    Trellis is super excited to be a part of #pyconus this year! Thanks Python Software Foundation, for the invite to join Startup Row. If you’re around in Pittsburgh, USA, come say hi from May 16-19, 2024. We’re already having a lot of great conversations with data teams who want to start leveraging unstructured data to automate manual financial service workflows and enhance RAG applications.

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  • View organization page for Trellis AI, graphic

    401 followers

    Thanks for the shout out Carya Venture Partners!

    View organization page for Y Combinator, graphic

    1,057,949 followers

    Trellis (YC W24) makes unstructured data SQL-ready with a schema you define using natural language. You can now try it live with your data at https://demo.usetrellis.co. Traditional databases are not designed for unstructured data. Trellis' AI engine combines LLMs and database query processors to guarantee correct schema and accurate results across unstructured data sources. With Trellis, data and business teams can now run SQL queries directly on unstructured data sources like financial documents, contracts, customer emails, etc. Leading companies in financial services, customer support, and insurance use Trellis to: 1. Unlock hidden revenue in their customer data 2. Supercharge RAG applications by enabling end-users to ask analytical questions not possible before with traditional Vector DB 3. Enrich their data warehouse with business-critical information Mac Klinkachorn & Jacky L. are friends from the Stanford AI Lab, where they both experienced firsthand the complexity of managing unstructured data at scale. Previously, Mac built LLM infrastructure processing terabytes of chats and sales calls for F500 companies. Jacky taught AI classes at Stanford and worked at Meta on their real-time machine learning team handling complex model deployment challenges. Learn more at https://lnkd.in/gaZq7a_f. Congrats on the launch, Mac and Jacky!

Similar pages

Funding

Trellis AI 1 total round

Last Round

Undisclosed
See more info on crunchbase