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macklinkachorn
searching Neon…
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Trellis AI (YC W24) hiring a product lead to build agents for healthcare access
(ycombinator.com)
1 points
by
macklinkachorn
3mo ago
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Trellis AI (YC W24) Is hiring engineers to build self-improving agents
(ycombinator.com)
1 points
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macklinkachorn
5mo ago
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Trellis AI (YC W24) is hiring deployment lead to accelerate medication access
(ycombinator.com)
1 points
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macklinkachorn
7mo ago
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Trellis AI (YC W24) is hiring engineers to build AI agents for healthcare access
(ycombinator.com)
1 points
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macklinkachorn
9mo ago
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Trellis AI (YC W24) Is Hiring: Streamline access to life-saving therapies
(ycombinator.com)
1 points
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macklinkachorn
10mo ago
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Trellis (YC W24) Is Hiring founding SDR to help automate healthcare paperwork
(ycombinator.com)
1 points
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macklinkachorn
1y ago
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Trellis (YC W24) Is Hiring Eng to Build the Best AI Agents for PDF
(runtrellis.com)
1 points
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macklinkachorn
2y ago
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macklinkachorn
2y ago
In my previous role, I have experienced similar things where the rule-based parsing approach is really tricky to get right and often failed via from edge cases. We (at https://runtrellis.com/ ) have been building PDF process
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Trellis (YC W24) Is Hiring
(runtrellis.com)
1 points
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macklinkachorn
2y ago
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Trellis (YC W24) Is Hiring Eng to Automate PDFs Task at Scale
(ycombinator.com)
1 points
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macklinkachorn
2y ago
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Trellis (YC W24) is hiring eng to turn documents into database
(ycombinator.com)
1 points
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macklinkachorn
2y ago
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Running Semantic query over YC job posting
(postgresml.org)
1 points
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macklinkachorn
2y ago
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Trellis (YC W24) is hiring eng to build AI workflows for unstructured data
(ycombinator.com)
1 points
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macklinkachorn
2y ago
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Trellis (YC W24) is hiring eng to build AI workflows for unstructured data
(ycombinator.com)
1 points
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macklinkachorn
2y ago
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Trellis (YC W24) is hiring eng to build AI workflows for unstructured data
(ycombinator.com)
1 points
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macklinkachorn
2y ago
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macklinkachorn
2y ago
The users specify the schema and output format and a validation rule and we make sure the system adheres to that.
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macklinkachorn
2y ago
That’s awesome. Curious to hear your use cases and also happy to share notes on what we see work well. Feel free to ping me (email in Bio)
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macklinkachorn
2y ago
Super cool! This aligns with our experiences. These tools are great and can get to near 100% of accuracy but it's quite a lot of work on the Eng side to get it there reliably.
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macklinkachorn
2y ago
Great to hear that you worked saw similar use cases. Doing this before LLMs seem like a big challenge.
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macklinkachorn
2y ago
Yes, we combine LLMs as a judge with traditional checks like reverse search in original data sources, defining your own post-processing logic, and simple classifier for confidence score.
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macklinkachorn
2y ago
A few that we experience as we’re building Trellis out: 1. Managing end-to-end workflows from integrating with data sources, automatically triggering new runs when there’s new data coming in, and keeping track of different business logic th
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macklinkachorn
2y ago
Unstructured seems to be focusing a lot on the document chunking and data ingestion into RAGs part. Trellis handles the process end-to-end from extraction to transforming the data into the schema that you need for downstream applications.
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macklinkachorn
2y ago
NER is good for really simple things (like getting names, addresses, etc.). A lot of the use cases that we see, like extracting data from nested tables in 100-page-long private credit documents or flagging transactions and emails that conta
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macklinkachorn
2y ago
Yes, HIPAA compliance is on the roadmap and should be out in a few weeks. We spent a lot of time on healthcare/sensitive data use cases. Google Document AI and Watson SDU seem to be an afterthought for IBM/Google. The accuracy and
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macklinkachorn
2y ago
Getting a lot of love from HN so the demo site and data processing might slow down by quite a bit. We're fixing it right now!
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macklinkachorn
2y ago
Good question and we have seen this extraction workflow a lot in financial services. We just added table mode to the product (select table in transformation parameters) where we extract table structure in the documents that match that schem
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macklinkachorn
2y ago
Totally! The structured extraction from AI is only a small part in the product. Beyond the list above we also built 1. Custom validation that allows end users to validate outputs with their own logic 2. Manage different workflows (monitori
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macklinkachorn
2y ago
Thanks! We also start to see the patterns where search systems are being improved with filters and hierarchy level metadata. Another use case that people use Trellis for is ingesting data into their downstream LLMs applications.
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macklinkachorn
2y ago
We face similar challenges you listed and handle all of the above. 1. Out of the box OCR doesn't perform as well for complex documents (with tables, images, etc.). We use vision model to help process that documents. 2. Recall (for lon
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macklinkachorn
2y ago
Please let me know the issues and happy to get it set up correctly for you. I'm at mac@runtrellis.com
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