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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 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
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 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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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 ect 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 👇
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 ect 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 👇
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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.
uldn’t have to re-platform every time they hit a new stage.
See why fast-growing teams like Slash choose DualEntry.
“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.
uldn’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 demo through the link below and see it on your own data.
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 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%
→ 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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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 lose.
Here's what we found 🧵👇
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 lose.
Here's what we found 🧵👇
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The one clear upside? Cost.
Terra costs just $0.042 per accounting task, less than half the cost of GPT-6.1 Sol ($0.090) and roughly a tenth of GPT-6 Astra ($0.494).
The trade-off? Latter models scored higher on accounting accuracy.
Terra costs just $0.042 per accounting task, less than half the cost of GPT-6.1 Sol ($0.090) and roughly a tenth of GPT-6 Astra ($0.494).
The trade-off? Latter models scored higher on accounting accuracy.
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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.
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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Moonshot's open Kimi K3.1 Pro just debuted at #4 on our Accounting AI Benchmark with 86.1% accuracy!
That's ahead of Claude Opus 5.5 (82.2%), Claude Fable 5.1 (85.1%) and GPT-6 Astra (81.2%)🤯
That's ahead of Claude Opus 5.5 (82.2%), Claude Fable 5.1 (85.1%) and GPT-6 Astra (81.2%)🤯
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See how all the models compare on accuracy, cost, and speed 👇
dualentry.com/accounting-ai-…
dualentry.com/accounting-ai-…
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Google just took the #1 spot on the DualEntry Accounting AI Benchmark, with Gemini 4 Argon scoring 91.1%!
That’s 7.9pts higher than Gemini 3.8 Flash and pushes Meta’s Muse Wonder, which ranked #2 when we tested it this week, further down the leaderboard.
Full benchmark: dualentry.com/benchmark
That’s 7.9pts higher than Gemini 3.8 Flash and pushes Meta’s Muse Wonder, which ranked #2 when we tested it this week, further down the leaderboard.
Full benchmark: dualentry.com/benchmark
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DualEntry retweeted
We just ran Meta’s new Muse Wonder through the DualEntry Accounting AI Benchmark.
It shoots straight to #2 overall, ahead of every OpenAI, Anthropic, and Google model we’ve tested, and 21.8 points higher than Muse Spark 1.1.
It shoots straight to #2 overall, ahead of every OpenAI, Anthropic, and Google model we’ve tested, and 21.8 points higher than Muse Spark 1.1.
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We just ran Meta’s new Muse Wonder through the DualEntry Accounting AI Benchmark.
It shoots straight to #2 overall, ahead of every OpenAI, Anthropic, and Google model we’ve tested, and 21.8 points higher than Muse Spark 1.1.
It shoots straight to #2 overall, ahead of every OpenAI, Anthropic, and Google model we’ve tested, and 21.8 points higher than Muse Spark 1.1.
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One of @ironselfstorage's favorite features: MCP.
Their team connects DualEntry to Claude, then asks questions about their 30-property portfolio, like:
Where are expenses creeping up?
Which facilities are seeing worrying revenue trends?
Where should the team be paying xplains how DualEntry has sped up their close:
Their team connects DualEntry to Claude, then asks questions about their 30-property portfolio, like:
Where are expenses creeping up?
Which facilities are seeing worrying revenue trends?
Where should the team be paying xplains how DualEntry has sped up their close:
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Anthropic’s IPO prospectus reportedly shows a nearly $42B net loss in 2025, alongside an $8.06B operating loss and $7.33B in compute and infrastructure spend.
We broke down what the filing says about the economics of frontier AI. x.com/i/article/2104…
We broke down what the filing says about the economics of frontier AI. x.com/i/article/2104…
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The price of AI is collapsing, but the bill seems to keep getting bigger x.com/i/article/2102…
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10-day close → 2-day close.
55,000 records migrated in a week.
Two months of parallel close planned. They only needed one.
@getwellrewarded is a healthcare navigation company with contracts complex enough that every amortization schedule used to be built by hand in a ated NetSuite and Sage, then chose @DualEntry.
The best part isn't the speed. It's what their team does with the time they got back: actually interpreting the numbers instead of hunting for errors in them.
55,000 records migrated in a week.
Two months of parallel close planned. They only needed one.
@getwellrewarded is a healthcare navigation company with contracts complex enough that every amortization schedule used to be built by hand in a ated NetSuite and Sage, then chose @DualEntry.
The best part isn't the speed. It's what their team does with the time they got back: actually interpreting the numbers instead of hunting for errors in them.
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