Introducing Sico — Symbiotic Intelligence for Co-evolution.
Digital Workers should do more than execute. They should learn from human operators and evolve with them through real work.
Sico is an open-source platform to build and manage them.
Come build with us.
#CoEvolution
What is an Operator?
Sico started with BPO, where people execute repeatable business processes every day.
As Digital Workers take on more execution, the human role shifts from doing the work to guiding, reviewing, and improving AI work.
In Sico, we call this role the Operator.
Introducing Sico — Symbiotic Intelligence for Co-evolution.
Digital Workers should do more than execute. They should learn from human operators and evolve with them through real work.
Sico is an open-source platform to build and manage them.
Come build with us.
#CoEvolution
Introducing Sico — Symbiotic Intelligence for Co-evolution.
Digital Workers should do more than execute. They should learn from human operators and evolve with them through real work.
Sico is an open-source platform to build and manage them.
Come build with us.
#CoEvolution
An hour of agentic computer use may now be cheaper than an hour of human labor:
Computer-use agent: $6-8
Offshore outsourced talent: ~$10
US talent: $30-45
"The math only gets better - inference keeps getting cheaper, and open-source models are getting good enough for a growing share of these workflows."
The data on computer-use agents, from @fabrisera2000, @seema_amble, and @zephratic: https://t.co/eOO1JIrT1J
Great article by @iddogino on Digital Workers. One point really resonated with us: "Define the role, not just the task."
Glad to see Sico included among the open-source frameworks in Digital Worker landscape.
🔗 https://t.co/6tjWbg7zis
We agree with YC: the future isn't AI software—it's AI-native services. They have the potential to transform BPO from 30 gross margins to 60–80%.
Sico provides the infra for organizations to build Digital Workers that continuously execute, learn, and evolve with human experts.
Some of the biggest companies of the next decade won't be software businesses. They'll be services companies like insurance carriers, law firms, and tax practices rebuilt from scratch with AI doing most of the work.
In this episode of Startup School, YC Visiting Partner @CharlieWarren walks through the playbook for building AI native services companies, covering how to pick a market with the right traits, why variance kills these businesses faster than anything else, and the P&L math that’ll transform your business model.
00:00 — Intro to AI Services Companies
01:01 — Picking the Right Market
02:55 — Markets YC Likes Right Now
03:43 — The Sam Altman Test
04:35 — The Right Founding Team
05:28 — Building the Product
06:19 — Variance Is the Existential Problem
07:08 — The Early Demand Trap
07:53 — How to Price AI Services
08:41 — The P&L Walkthrough
09:33 — AI Operating Leverage
10:27 — Don't Buy Your Way In
Every organization should turn its unique data and knowledge into its own intelligence.
That’s the idea behind Sico: human–AI co-evolution. Our latest open model makes it easier for enterprises to fine-tune on their data and build evolving models.
https://t.co/iMKA2pid1s
Great read. It resonates strongly with what we’ve seen working with enterprise and BPO partners.
The emerging role isn’t just a Verifier—it’s an Operator who supervises, evolves, and continuously improves Digital Workers through real work.
That’s exactly the idea behind Sico.
Imagine an AI that sees your screen, reads text and images, and takes actions on your phone or desktop. That's GELab Zero 4B, a vision-language model designed to be your personal GUI agent. It's like giving your apps a pair of eyes and a brain.
@HuggingModels Thanks for sharing! 🙌
Sico-Evolution powers Sico, our open-source Digital Workforce Platform, with strong GUI perception and computer-use capabilities. We're excited to continue improving it through real-world tasks and community feedback.
GitHub: https://t.co/nesEezLK4U
Thanks for highlighting Sico-Evolution!
Beyond the benchmark, we're excited to show that compact models can continuously improve through real workloads.
Microsoft just released a new GUI agent on Hugging Face
Sico-Evolution jumps from 39.8% to 82.9% Task Success Rate
Outperforming GPT-5.4, Claude Opus 4.6, and Claude Opus 4.7
All from a 4B parameter model
@HuggingPapers Thanks for highlighting Sico-Evolution! 🚀
Beyond the benchmark, we're excited to show that compact models can continuously improve through execution, evaluation, and evolution.
Open source: https://t.co/nesEezLK4U