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ERP is like having chronic back pain.
It grows with time. Surgery is risky. Expensive. Could make it worse.
We've fixed that, with our NextDay Migration™
No more nine-month rollouts, 50%+ failure rates, or implementation fees 2–3× the subscription cost.
You're live with your data in 24 hours.
It’s a different way to think about ERP.
And it’s working.
▶️ Catch the full TBPN conversation with DualEntry Co-Founder Santiago Nestares on how we’re rewriting the ERP playbook: youtu.be/rdIEDcqvI1E
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𝗚𝗼𝗼𝗴𝗹𝗲 is on the rise 🤯
Within 4 hours of @Google's newest model release, we ran Gemini 4 Carbon through the DualEntry Accounting AI Benchmark.
Results:
- Accuracy: 88.1% (tied for second against Argon)
- Strongest: transaction classification, 100%
- Weakest: bank reconciliation, 66.7%
The full breakdown and how all the models rank are in the comments.
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Full results for all models: dualentry.com/blog/two-gemin…
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Everything on @DualEntry just got faster and smarter 📦
Our November release is live and it’s a big one.
We shipped 45 key features and improvements in 1 month.
Here are a few top standouts:
→ Tasks: everything that needs your attention all in one page (no more tab-hopping)
→ CTA Balance Audit: a number trail for every item driving your CTA
→ Data Analytics: build your own report from any record, no SQL needed
→ AR dunning: set a schedule once and never chase a balance again
Every one of these is designed to give your finance team their time back.
Bryan Zhang, a CPA who spent years in financial due diligence before joining DualEntry, knows exactly where that time disappears. See it in action with Bryan below 👇
Want the full list? All 45 are in the release notes
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If you’re a Seed or Series A founder backed by one of these VC firms, read this.
We’re giving you DualEntry for free.
3 years or until you hit $10M in revenue. Whichever comes first.
Your finance stack is infrastructure.
And infrastructure decisions are easiest (and less costly) when made early.
The longer you wait, the more expensive the fix.
If you’re backed by one of the listed firms, switch while things are still simple.
Link in comments.
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The help center said one thing. The chatbot said another. Support said to wait 👀
That’s what happens when knowledge lives in three different places.
@DualEntry's Docs puts it all in one place, and you can get to it however you work:
→ Search the Docs by the task you’re trying to finish
→ Connect our MCP server and ask your AI tools directly
→ Ask Accounting Intelligence inside DualEntry and get answers based on your own data, with sources
Every feature ships with its docs, so the answer is always current.
Three ways in. One source of truth.
20 seconds on how it works 👇
Slash's CEO Victor on why DualEntry stood out from every other ERP they evaluated 🎥
“When we looked at other ERPs, DualEntry was the only one that didn’t feel like a stop-gap.”
When publicly traded companies already run on your ERP, you know it’s built to scale with you.
Fast-growing teams shouldn’t have to re-platform every time they hit a new stage.
See why fast-growing teams like Slash choose DualEntry.
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Who said you can’t test an ERP on your own books first?
Most ERPs make you sign first and see your own data later. Sometimes 12 months later.
We flipped it. Free sandbox, your books migrated in 24 hours, and you decide after.
Bryan Zhang, our Lead Solutions Consultant, gives a quick preview.
Book a demo through the link below and see it on your own data.
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Here's where Terra stands against other leading models:
→ Gemini 4 Argon: 91.1%
→ GLM-5.3 Flash: 88.1%
→ Kimi K3.1 Pro: 86.1%
→ GPT-6.1 Sol: 81.2%
→ GPT-6 Astra: 81.2%
→ GPT-6.1 Terra: 78.2%
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See how the models compare across accuracy, cost, and consistency 👇
dualentry.com/accounting-ai-…
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OpenAI's new GPT-6.1 Terra flopped on our Accounting AI Benchmark.
It scored just 78.2% accuracy, trailing GPT-6.1 Sol (81.2%), GPT-6 Astra (81.2%), and Gemini 4 Argon (91.1%).
We ran it through 101 accounting tasks, from journal entries and bank reconciliation to accounts payable and month-end close.
Here's what we found 🧵👇
Terra passed 79 of 101 accounting tasks, but the results reveal some significant weaknesses.
It scored a perfect 100% on transaction classification, but managed just:
→ 53.8% on accounts payable
→ 58.3% on accounts receivable
→ 58.3% on month-end close
It also passed only 65.3% of tasks consistently across all three runs.
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See how all the models compare on accuracy, cost, and speed 👇
dualentry.com/accounting-ai-…
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