The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
The intersection of quantitative finance and AI is fascinating. Alpha discovery, portfolio construction, market simulation and risk management are all becoming increasingly data- and compute-intensive. The firms building the right research infrastructure may have as much edge as those building the models. #Quant #AI #FinTech
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Does a fintech brand actually need to look like fintech?
We don’t think it does.
For KRON, we wanted to move away from the visual language you’d normally associate with finance.
No banking blue.
No obvious financial symbols.
No trying to scream “AI.”
Instead, we started with one idea:
What if wealth had depth?
That led us toward a much more spatial identity built around form, movement, architecture, and dimension.
Even the K started becoming less of a letter and more of a structure we could build around.
Still exploring how far this system can go.
Would you know this was a fintech brand without being told?
And more importantly, does it need to?
Honestly this branding kit feels luxury specially with high contrast and soft colors good job 🎉🎉❤️❤️
lock it Arek
Most companies don't need more leads. They need a better way to handle the ones they already have.
One of the biggest bottlenecks in B2B sales isn't lead generation.
It's everything that happens after a lead comes in.
Sales teams spend hours qualifying prospects, answering repetitive questions, scheduling meetings, following up on emails, updating the CRM, and preparing proposals. Those tasks are essential, but they take time away from building relationships and closing deals.
Instead of adding another chatbot to the process, we redesigned the sales workflow.
We built an AI Sales Copilot that acts as the first point of contact for every inbound lead.
The platform can:
• Qualify leads using custom business rules
• Answer product questions using the company's knowledge base
• Schedule meetings automatically
• Generate proposal drafts
• Update CRM records in real time
• Hand conversations over to the right salesperson whenever human expertise is needed
The Results
📈 70% reduction in manual lead qualification
⚡ 3× faster first response time
📅 40% increase in booked demos
🌍 24/7 engagement with inbound leads
The biggest lesson from this project was simple.
The highest ROI from AI doesn't come from replacing people.
It comes from eliminating repetitive work so people can focus on high-value conversations and better decisions.
At Ciphers Lab, that's how we approach every AI product. We start with the business problem, redesign the workflow, and then build AI solutions that create measurable business impact.
This carousel walks through the challenge, the solution, and the business outcomes.
If you were building an AI Sales Copilot, which feature would create the biggest impact for your business?
#ArtificialIntelligence #AIAgents #AIProductDevelopment #AIAutomation #BusinessAutomation #SalesAutomation #SaaS #B2BSaaS #Startup #Founders #TechLeadership #GenerativeAI #ProductDevelopment #CiphersLab
