TWITTER_POST

FracSlap pitches Collide as an oil-and-gas AI stack built around heavy data…

2026-03-19 · 18:19 UTC ·FracSlap ·1 min read

Brief

FracSlap pitches Collide as an oil-and-gas AI stack built around heavy data engineering: auto-organizing thousands of PDFs/CSVs into drilling reports, logs, and leases, routing them to O&G-specific extraction pipelines and legacy systems. They claim embeddings 34% better than OpenAI, an LLM called RIGGS that beats Claude/Grok/ChatGPT on petroleum engineering, plus agentic orchestration and RL to run and improve domain workflows.

Source evidence

title: @FracSlap: Why should you use Collide versus ChatGPT or Claude? We can talk AI all we want,...
author: FracSlap
contenttype: twitterpost
published: 2026-03-19T18:19:17+00:00
source_url: https://x.com/FracSlap/status/2034696226373792152

word_count: 211

Tweet by @FracSlap

Why should you use Collide versus ChatGPT or Claude? We can talk AI all we want, but no one wants to talk about the unsexy data engineering that has to happen in oil and gas. That's why we spent so much of our time and R&D on fixing the data problem. > Automatically organize thousands of pdfs and csvs to know what's a drilling report, a log, or a lease. > Send those documents to data pipelines built specifically for O&G documents to get accurate extraction of the data >connect to legacy software systems >Train an embeddings model that understands oil and gas terminology 34% better than OpenAI Once you solve the data problem, then the fun begins applying domain specific intelligence. >Our LLM, RIGGS, out-performs Claude, Grok, and Chatgpt on petroleum engineering >Our agentic orchestration executes full workflows with access to tools and skills built for oil and gas engineering and other disciplines. >Reinforcement learning engine that takes feedback from you teams and makes the system smarter over time. It's easy to get to 80% on a flashy demo using claude or gpt, but every % point is exponentially harder. 100% is only achievable if you solve at the data layer and have foundational technology built for these specific problems.

Posted: 2026-03-19T18:19:17.000Z
Engagement: 62 likes, 7 retweets, 4 replies