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Incredible Small 1.0 by Incredible

Agentic AI Models that can take 1000+ actions at once

API
Artificial Intelligence

RESEARCH PREVIEW β€” Agentic AI Models that can take 1000+ actions at once, and work with large datasets. 100+ app connectors. Try the research preview assistant now at www.incredible.one. Built in Sweden, by Incredible πŸ‡ΈπŸ‡ͺ

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Hey Product Hunt! πŸ‘‹ Philip here from Incredible, a small 13 person team from Sweden.
We've spent the last 3 years on a different path than most LLM/AI companies. While others optimize for general intelligence, we've been obsessed with one thing: making AI that actually gets work done.

Our journey has been... unconventional. We built 14 different products over the past 3 years, tested with 1000+ users, served 250+ paying customers. Each iteration taught us something new about what holds AI back from doing real work. Last year we released SWE-LLM (continued training, Sweden's largest language model) as an experiment in language understanding. That laid the groundwork for what we're sharing today.

Introducing Incredible - Agentic AI models designed specifically for taking actions in your apps.

Here's what makes our approach different:
1. Hundreds of actions at once: While other models update 1 spreadsheet row at a time, ours can update 1000 rows simultaneously
2. Gigabyte-scale data processing: Handle 10,000+ CRM records in a single operation (vs the typical 50-100)
3. 200+ app connectors built-in: Google Workspace, Notion, Salesforce, Linear, Slack... more
4. No hallucinations on data: Our "live-code" architecture means exact accuracy in valid data operations

Some things our early users are doing:
- πŸ“Š Analyzed an entire CRM database, identified 847 duplicate leads, merged them, and updated all related records
- πŸ“ˆ Generated personalized sales reports across different regions with real-time data pulls
- πŸ”„ Synchronized complex project data across 5 different tools simultaneously
- πŸ“ Processed 1000 tickets of customer feedback and created actionable insights dashboards

We don't have billions in funding. This is still a research preview - we're learning and improving every day. We'd love for you to try it and tell us what real work you need AI to handle.

πŸš€ Try the research preview assistant: incredible.one
πŸ› οΈ For developers: Drop-in replacement for OpenAI/Anthropic APIs with MCP support

PS: Flagship model coming soon.

What work would you want AI to actually complete for you? Let us know in the comments - we're hoping to hear from Product Hunters sharing specific use cases!

Tack! (That's Swedish for thanks!) πŸ‡ΈπŸ‡ͺ

Comment highlights

The idea and concept is perfect and really great and overall I will absolutely love to be using this more frequently

looking awesome - how does the integrations comply with European privacy laws? i know, hateful question :)

Impressive! I asked IS to build a Radar Digest – Weekly Edition for my industry. They nailed it: sharp understanding of the needs, precise execution, and solid follow-up. Excited to see what’s next (like prompt history access) πŸ”₯πŸ”₯πŸ”₯

I've only connected a Drive, Sheets, and Notion account to extract text from a pretty long legal PDF and organize it into a sheet and database in Notion.

I have to say this. With all the new AI tools I try, It's pretty rare that an initial test run simply works without ANY fiddling around or troubleshooting. Well done gentleman, it worked 100% flawlessly first try.

How fast do you plan to scale up the number of available apps?

@philip_alm_at_incredible congrats on launch!

Congrats on the launch! This looks Incredible. What is the best use case you've discovered for marketers like me?

Agentic AI at scale models that can take 1000+ actions simultaneously, work with large datasets, and connect to 100+ apps. The future of automation is already multilingual.

@philip_alm_at_incredible @emil_wagman_at_incredible @david_bacelj1 This is really interesting - just spent some time playing around and I think I understand the broad strokes / mass appeal for use cases.

I guess - as a theoretical user - where do you think someone should start - ie what processes should be first intertwined with the platform for folks to really get a grapple on the power of the platform.

I am finding - as a user of AI on a daily basis - it really helps (at least me) to have some smaller scale actions I could outsource (presume... writing my launch support comments with access to my PH profile / LinkedIn) - or is it more used to work alongside tools to parse down big data sets / user insights.

I quite like it - just curious how it might be applicable to me as a prospective user and where I might get the most value... again sorry if this info exists somewhere - I haven't dug in too deep.

I've been waiting eagerly for this to hit the market. Big fan of what you guys are up to. I'd love to use AI more as a clean-uo assistant for files, contacts and other stuff where a lot of data simply is outdated or not relevant anymore. A use case you've specifically looked into?

This seems like a great step in the right direction! Going to have fun playing around with the platform.

Sweden seems to be rocking AI products

  • What is the one thing about the product you guys are most proud of?

Wishing you good luck!

Love the vision 🀍 Is there a β€œsimulate” mode to preview side effects before execution (dry runs, estimated API calls/costs)?

This strikes a great balance between ambition and pragmatism, which I truly respect. Though it is futuristic, the concept of agentic models doing thousands of acts is immediately useful rather than only experimental when connected to actual applications.

I find it refreshing to see something focusing on scale and actions rather than just small tasks.