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Introducing NDI 1.0 - a small model for document processing. #1 on Parse Index Normalized (across 6 public benchmarks) GPT-6 Astra performance at 1/10th the cost 📈 Trained on 15M+ financial files for industry-grade accuracy. Get started with $25 in free credits: Reply "NDI" for a single file setup... show more

Nace AI

1,097 subscribers

1,304,753 Aufrufe • vor 9 Tagen •via X (Twitter)

Finanzen Wissenschaft & Technologie

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43 Kommentare

Profilbild von Nace AI

Nace AIvor 9 Tagen

OmniDocBench

Profilbild von Nace AI

Nace AIvor 9 Tagen

ParseBench

Profilbild von Nace AI

Nace AIvor 9 Tagen

MDPBench

Profilbild von Nace AI

Nace AIvor 9 Tagen

ExtractBench

Profilbild von Kaitee

Kaiteevor 9 Tagen

curious how it handles multi-page contracts with tables that span pages. most of these tools still choke on that.

Profilbild von Nace AI

Nace AIvor 9 Tagen

Developer Access:

Profilbild von Nace AI

Nace AIvor 9 Tagen

Developer Console Access

Profilbild von Veles

Velesvor 9 Tagen

Already running drex in night desk, NDI for filings is the obvious add

Profilbild von kai.

kai.vor 9 Tagen

1/10th the cost for financial doc parsing is massive.. specialized small models keep winning

Profilbild von carpe

carpevor 9 Tagen

how accurate is NDI on messy real invoices?

Profilbild von Ruuj

Ruujvor 9 Tagen

Making it cost efficient with such great results is a good one guys

Profilbild von Nawi

Nawivor 9 Tagen

The "every value links back to its source" part is the real flex. An agent you can audit beats an agent you have to trust.

Profilbild von ben.

ben.vor 9 Tagen

bangerrr!!

Profilbild von marcus

marcusvor 9 Tagen

love that you shipped a single file setup for Claude Code and Codex. how long does it take to get parsing from zero?

Profilbild von Nace AI

Nace AIvor 9 Tagen

Pretty much right away, add your API key, and you can start parsing in a few minutes.

Profilbild von YasuoXBT🥷

YasuoXBT🥷vor 9 Tagen

Ndi

Profilbild von Nace AI

Nace AIvor 9 Tagen

check your DMs!

Profilbild von Arman Suleimenov

Arman Suleimenovvor 9 Tagen

NDI

Profilbild von Nace AI

Nace AIvor 9 Tagen

Check your DMs!

Profilbild von Kaif

Kaifvor 9 Tagen

"astra performance at 1/10th the price" is the only benchmark founders actually read

Profilbild von lis

lisvor 9 Tagen

trying this

Profilbild von LX™

LX™vor 9 Tagen

Parse, split, classify, extract, ground. One document goes through all five and stays linked to its source.

Profilbild von CesarAG

CesarAGvor 9 Tagen

I'll try it, it will help me a lot in my work

Profilbild von zen.

zen.vor 9 Tagen

curious how much the 15M+ financial files bias it toward finance. does accuracy hold up on contracts or medical docs?

Profilbild von Abdirakhman Ismail

Abdirakhman Ismailvor 9 Tagen

NDI

Profilbild von Nace AI

Nace AIvor 9 Tagen

Your DMs are closed, DM us and we’ll send it over!

Profilbild von Alex Ai | Tools & Updates

Alex Ai | Tools & Updatesvor 9 Tagen

GPT-6 level accuracy at tenth cost on financial docs impressive

Profilbild von banzaan

banzaanvor 9 Tagen

@pouyanroohii

Profilbild von Mour₳‎

Mour₳‎vor 9 Tagen

Ndi

Profilbild von Nace AI

Nace AIvor 9 Tagen

Your DMs are closed, DM us and we’ll send it over!

Profilbild von Mira Synth Tech

Mira Synth Techvor 9 Tagen

Hitting number one on the Parse Index with that kind of cost efficiency is seriously impressive

Profilbild von Clara AI

Clara AIvor 9 Tagen

Affordable, high-accuracy document processing could be a game changer for AI workflows

Profilbild von Ace

Acevor 9 Tagen

Everyone's building smarter agents, but half of them are still squinting at blurry PDFs. Fixing the eyes first makes a lot of sense.

Profilbild von Lau R🍕

Lau R🍕vor 9 Tagen

the mountain in that image is doing more marketing than the entire product page

Profilbild von NOOR TECH

NOOR TECHvor 8 Tagen

Outstanding Nace AI launch, NDI 1.0 delivers top accuracy at a fraction of cost efficiently!

Profilbild von LastResort

LastResortvor 9 Tagen

Cost per page? @grok

Profilbild von AM

AMvor 9 Tagen

NDI

Profilbild von Nace AI

Nace AIvor 9 Tagen

Check your DMs 🙌

Profilbild von Zivlen 지능

Zivlen 지능vor 9 Tagen

interested

Profilbild von An Nayal

An Nayalvor 8 Tagen

1/10th the cost.. you're cracked 🫡

Profilbild von Ye Cooper

Ye Coopervor 9 Tagen

NDI

Profilbild von Nace AI

Nace AIvor 9 Tagen

Check your DMs!

Profilbild von Aaliya

Aaliyavor 9 Tagen

15M files is a lot of data to train on

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holy f**k, this is insane GPT-6 Astra and Claude Fable 5.1 are free on Xplabs right now what you get: - GPT-6 Astra free - Claude Fable 5.1 free - and 1000+ models open on the platform how to try (under 1 min): step 1: go to step 2: search for gpt-6-astra or fable-5.1 step 3: select it and start chatting no plan required, no per-model payment, just pick and go

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Imagine processing 1,000 medical insurance claims. Each one contains hospital bills, patient records, discharge summaries, and supporting documents. That's a massive amount of unstructured information. Nace Document Intelligence is built to handle the perception part of this workflow. → Parse medical documents → Classify different file types → Extract relevant information → Ground values in their original sources Then Drex can handle the next decision-making step. This is a practical example of why AI agents need more than just powerful LLMs. One CLI. One SDK. Compatibility with Claude Code, Codex, Pi, OpenCode, Hermes, and Prime Agent.

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CTRL+F is not enough anymore. Imagine asking a question across hundreds of PDFs, financial reports, spreadsheets, and contracts. And getting an answer backed by the original documents. That's the idea behind combining three AI layers: NDI → Understands the documents. Drex → Makes decisions using extracted information. GPT → Reasons over the results and explains them. NDI supports 36 file types and is tied for #1 on the parsing leaderboard. Search is evolving from finding keywords to understanding information.

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We just launched Agentsky AgentSky, world’s 1st Agent Market! OpenRouter is for models. AgentSky is for agents. Use 40+ agents—Claude Code, Codex, OpenCode, Hermes, Pi in your browser(even your phone!) or via one API. All without installing or setting up anything. Hit Codex Astra’s weekly limit? Hand off to another agent such as OpenCode + DeepSeek V4.1 in browser without losing any context. You can compare any agent + model directly in browser and that's how I found Astra costs $5.3 while deepseek v4.1 cost $0.12 on the same dashboard task. (I actually preferred deepseek) Try it at If you can try any agent easily without install, which agent do you want to try next? Type the agent name and I will give $20 credit (you can use it for any model)

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2,725,930 Aufrufe • vor 29 Tagen

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

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58,018 Aufrufe • vor 3 Monaten

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Congratulations to the Cohere team on releasing North Mini Code 1.0 🔥 We provide day-0 support on MLX thanks to our close collaboration with the Cohere team. North Mini Code 1.0 is a 30B param MoE model with 3B active. It runs at ~66 tok/s in BF16, truly impressive speeds before any compression. Here is a quick demo I built using Pi by Mario Zechner & Armin Ronacher ⇌ as my agent hardness. Get started today: 1. Install mlx-vlm from source: > uv pip install git+ 2. Start the server and power your favourite agents (pi, opencode, hermes and etc) > uv run mlx_vlm.server --model CohereLabs/North-Mini-Code-1.0 New release tomorrow

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35,367 Aufrufe • vor 4 Monaten

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Over 1 billion PDFs are created every day, but your agents still can’t read them reliably. Today we’re releasing Parse 2.0, the most accurate document parsing API in the world. Extend already processes millions of pages daily for leading AI teams like Brex, Mercury, Opendoor, Flatiron Health, and hundreds of others. Now, its even better. Parse 2.0 is SOTA quality on RealDoc-Bench, our open source benchmark that measures agent success rate on real world docs that agents actually encounter in production. We trained Parse 2.0 on 1M+ pages of the hardest documents seen in production. Here’s how it stacks up: - #1 in healthcare, real estate, logistics, and financial services - 95.7% agent Q&A accuracy on 581 docs (next best: 92%) - 0.847 F1 on layout (next best: 0.759) Give it a try today and build production-ready document agents with Extend.

Kushal Byatnal

589,392 Aufrufe • vor 4 Monaten

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Baidu Inc. just dropped PaddleOCR-VL-1.5, and it’s not just another OCR model. This is a fully open-source OCR model with just 0.9B parameters, built specifically for production-grade document understanding. And the results speak loudly 👇 On OmniDocBench V1.5, the most authoritative global document parsing benchmark, PaddleOCR-VL-1.5 ranks #1 overall, hitting 94.5% overall accuracy, outperforming models like DeepSeek-OCR2. As the first OCR model natively supporting irregular document layout positioning, it perfectly solves OCR pain points in production for complex structured business documents such as financial reports and insurance forms. While a lot of the industry is racing toward bigger models, PaddleOCR is betting on something smarter: small parameters + high performance + open source + real usability. That combination is exactly what scalable document intelligence needs right now. Demo / API → Open source → Model → Curious to see how teams start building on top of this.

Bishal Nandi

35,318 Aufrufe • vor 8 Monaten

Claude Code vs Codex vs Pi: which coding agent wins? Melissa Pan, PhD candidate at UC Berkeley’s Sky Computing Lab and previous Arena.ai intern, explored the hidden “harness tax”: how the system surrounding an AI model affects its cost and performance. She reports three surprising findings. One: harness choice impacts cost more than accuracy. To learn about all three findings, and what they mean for building useful coding agents on realistic budgets, check out the full video here:

Claude Code vs Codex vs Pi: which coding agent wins? Melissa Pan, PhD candidate at UC Berkeley’s Sky Computing Lab and previous Arena.ai intern, explored the hidden “harness tax”: how the system surrounding an AI model affects its cost and performance. She reports three surprising findings. One: harness choice impacts cost more than accuracy. To learn about all three findings, and what they mean for building useful coding agents on realistic budgets, check out the full video here:

Arena.ai

85,347 Aufrufe • vor 19 Tagen

HERMES AGENT NOW RUNS A FULL BUSINESS FOR $8/MONTH. CONTENT. CODE. INBOX. ALL AGENTS. EVERYTHING WHILE YOU SLEEP. one user built this in one session. zero terminal commands. browser only. the team: → content agent: finds video topics, writes first drafts, helps with animations → code builder: writes website and SaaS code → ops agent: organizes and answers email total setup cost: $1. monthly runtime: $8 VPS + cheap model API. the trick is matching model to task. frontier models (Opus 4.8, GPT-5.5) for complex /goals only. $5/million tokens. mid-tier (Claude Sonnet, Haiku, Kimiko 2.6) for daily content and research work. budget (DeepSeek V4 Flash, MiniMax 2.7, Gemma 4, Qwen 3) for cron jobs and routine. run the initial setup on Opus. switch to DeepSeek for everything after. your bill drops 90% with zero quality loss on routine work. the agent team picks up tasks from kanban. each completed task creates a skill. week 3 the same workflows run faster than week 1. full breakdown on Hermes Os in the article 👇

HERMES AGENT NOW RUNS A FULL BUSINESS FOR $8/MONTH. CONTENT. CODE. INBOX. ALL AGENTS. EVERYTHING WHILE YOU SLEEP. one user built this in one session. zero terminal commands. browser only. the team: → content agent: finds video topics, writes first drafts, helps with animations → code builder: writes website and SaaS code → ops agent: organizes and answers email total setup cost: $1. monthly runtime: $8 VPS + cheap model API. the trick is matching model to task. frontier models (Opus 4.8, GPT-5.5) for complex /goals only. $5/million tokens. mid-tier (Claude Sonnet, Haiku, Kimiko 2.6) for daily content and research work. budget (DeepSeek V4 Flash, MiniMax 2.7, Gemma 4, Qwen 3) for cron jobs and routine. run the initial setup on Opus. switch to DeepSeek for everything after. your bill drops 90% with zero quality loss on routine work. the agent team picks up tasks from kanban. each completed task creates a skill. week 3 the same workflows run faster than week 1. full breakdown on Hermes Os in the article 👇

YanXbt

30,910 Aufrufe • vor 4 Monaten

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

FREE GPT 5.5 API from a Chinese provider. I already farmed $520 in credits. Plug it directly into Hermes Agent or OpenClaw. > This is a Chinese proxy for OpenAI's official API - same models, same token pricing, same caching. GPT 5.5, Codex, the full stack. I found a way to farm credits through a Telegram bot and it still works. Here's the exact flow: → Go to on Telegram → subscribe to the channel → Join and complete the captcha (use the app, tap the first button) → Go back to the bot, grab your referral link → Invite 1 friend → you get an invite code → Register at with the invite code → Farm points: daily spins (+1-10 pts), each referral (+1/4 pt) → Redeem points for credits: $10 API = 1pt, $100 API = 5pts, $1000 API = 50pts → Create API key → select Codex/another GPT model → plug into Hermes Agent or OpenClaw Ready-made configs for Claude Code and OpenCode are in the "Use Key" section under API Keys. > I have $520 balance. Prices match official OpenAI rates. Caching works. Everything tested. // You can also use these points to buy a ChatGPT account or a subscription for your account. But they get blocked pretty quickly. USE THE API. // Nobody knows how long this lasts. Coupons have been restocked twice already. Move now.

Atenov int.

65,251 Aufrufe • vor 4 Monaten

$$50 free credits for GLM 5.2, KIMI 2.7, and DeepSeek V4 Pro. No promo most people know about. Your buddy pays $20/mo for Claude Pro and burns through it in a week. > You get $50 in credits on Aiand for models that actually beat Sonnet on code benchmarks - and the balance barely moves. Inside: → GLM 5.2 - the model that shipped with better coding scores than closed frontier → KIMI K2.7 Code - long-context beast, sits at the top of open leaderboards → DeepSeek V4 Pro - reasoning at a fraction of GPT-5.6 cost → OpenAI-compatible endpoint - plug into any agent, IDE, or tool you already run Setup, 5 steps: → aiand(.)com → Sign up with Google or GitHub → If the page won't load, switch to an EU VPN and retry → Top right corner - click Credits, select $50 → In Stripe checkout, apply promo code: UNITABETAI → $50 lands. Start firing prompts. Balance drains slowly. I've been running agents on it for days and barely dented it. The promo code is valid as of the time of publication Bookmark this before they cap the promo.$

$50 free credits for GLM 5.2, KIMI 2.7, and DeepSeek V4 Pro. No promo most people know about. Your buddy pays $20/mo for Claude Pro and burns through it in a week. > You get $50 in credits on Aiand for models that actually beat Sonnet on code benchmarks - and the balance barely moves. Inside: → GLM 5.2 - the model that shipped with better coding scores than closed frontier → KIMI K2.7 Code - long-context beast, sits at the top of open leaderboards → DeepSeek V4 Pro - reasoning at a fraction of GPT-5.6 cost → OpenAI-compatible endpoint - plug into any agent, IDE, or tool you already run Setup, 5 steps: → aiand(.)com → Sign up with Google or GitHub → If the page won't load, switch to an EU VPN and retry → Top right corner - click Credits, select $50 → In Stripe checkout, apply promo code: UNITABETAI → $50 lands. Start firing prompts. Balance drains slowly. I've been running agents on it for days and barely dented it. The promo code is valid as of the time of publication Bookmark this before they cap the promo.

Atenov int.

14,846 Aufrufe • vor 3 Monaten