Determinism sounds abstract. It's not. It means: same input → same output, every time. Traditional software does this by default. LLMs don't. For a chatbot? A quirk. For data pipelines feeding trading models or pricing engines? A disaster.
Link below to @sequentuminc's paper.
Heading to @BattleFinData Discovery Day NYC on Oct. 29?
@sequentuminc's COO, BC Wilson, explores “Why not just use Claude?”, from run-to-run drift to reliable web data at scale.
📄 Worth a read before the event. DM us if you’re attending!
Heading to @quantbattle in London on Oct 22?
Read @sequentuminc's new white paper, “Why not just use Claude?” Explore run-to-run drift, anti-bot detection & reliable web data at scale.
Meet Onur L Cetin at the Royal Automobile Club.
📄 Link in comments.
@sequentuminc is heading to @quantbattle London on October 22nd.
Onur Cetin, Sales for UK and Europe, will be at the Royal Automobile Club for a day of conversations on quantitative finance, AI, and alternative data.
Attending? DM to connect in London.
@sequentuminc is heading to @BattleFinData NY
BC Wilson, our COO, and Sarah Kilpatrick, our Account Manager, will be at the New York Athletic Club for a day of conversations on alternative data and AI in investment research.
Attending? DM us to connect.
What’s AI changing in alternative data? Our UK sales lead Onur Cetin shares takeaways from BattleFin London, joined by @sequentuminc CEO @tkjaensch. AI can accelerate discovery, but reliable data pipelines still need deterministic execution.
See link in comments.
Everyone's asking: "Can we just use Claude (or Anthropic, or ChatGPT) for our scraping?" For one-off research, yes. For production data pipelines? @sequentuminc's new white paper explains why that's a risky bet. Read why institutional data teams need more than an LLM at run time.
@sequentuminc is named in ScrapeInsight's Top 8 Review Scraping Services for 2026.
Low-code agents. Built-in anti-bot. Run from the dashboard, API, or MCP.
Read the summary and full review: https://t.co/fGasdBSHqD
98% accuracy. 3,000+ hours saved annually. $4,000/month in savings.
See how a home improvement retailer scaled competitive pricing intelligence with @sequentuminc's Agent Builder.
https://t.co/nqco4snNvg
LLMs are great for prototypes. Bad for production.
Non-determinism: same page, different output on run two. Silent drift, hallucinations, no change detection.
@sequentuminc published a white paper on what institutions need to know.
See link to read "Why Not Just Use Claude?"
“Trust is the moat.”
Couldn’t have said it better, BC Wilson. Your message at @worldofdaas captured what we believe at @sequentuminc.
As AI makes it easier to build and scale, trust in the data becomes the real differentiator.
That’s what we’re building.
#TrustIsTheMoat
The investment research stack is being rebuilt, and alternative data is at the heart of it. @sequentuminc looks forward to having Onur Cetin, our UK-based representative, join our CEO @tkjaensch at @BattleFinData London next week.
Why can a web scraper work perfectly one day and fail the next?
@sequentuminc's, Lokesh Chandra breaks down 9 ways websites change and disrupt scraping, plus why he started r/ScrapeChase for the community to share solutions.