ALPHANEXT

ALPHANEXT

Building AI products at AlphaNext.

About

We are redefining legacy data into AI-driven ecosystems that enable businesses to modernize, scale, and make smarter decisions. Our expertise spans enterprise software development, AI-powered SaaS platforms, and digital transformation solutions, built with a strong focus on security, performance, and scalability. We partner with enterprises, GCCs, and fast-growing organizations to simplify complex systems, automate workflows, and unlock actionable insights from data. By combining modern cloud architectures, AI, and automation, we help organizations build future-ready technology ecosystems that support sustainable growth and operational excellence.

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Gone streaking

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2h ago

Alpha Hive - Unified Intelligence Layer for Your Enterprise Ecosystem

Alpha Hive is a customizable unified AI intelligence layer that connects legacy data, enterprise apps, APIs, devices, and workflows into 360° visibility, contextual answers, and intelligent automation.

20h ago

We kept losing candidate context every time they moved to the next hiring stage, so we fixed it

I spent a lot of time on the hiring/HR side, and I kept running into the same wall. A candidate would clear the interview, then someone has to manually re-enter their info into the HRIS. Then performance reviews live in a totally separate spreadsheet. Then when someone gets flagged for a project, nobody remembers what was discussed in their last review. Every stage resets the context.

So I started wondering: why does the "employee lifecycle" get treated like five disconnected tools instead of one continuous thread?

That's what led to Pilatus. It's an agentic system where a dedicated agent handles each stage sourcing, screening, interviews, offers, onboarding, HRIS, performance and an orchestrator keeps them all synced so nothing gets lost in the handoff. Nothing runs fully on autopilot though; there are human approval gates at the points where judgment actually matters, so it's not just agents making calls in the dark.

We've been testing it with a few teams and the biggest relief people mention isn't speed, it's just... not having to re-explain context five times to five systems.

Y Combinatorp/yc

3d ago

Topics for Y Combinator – Fall 2026

The Y Combinator has posted the topics (products) it wants to cover and support.

Here is a list of them:

  • The Primer  AI education with personalised learning

  • The Future of American Defense (Drones, sensors, interceptors,...)

  • A Cloud for Small Software

  • Multiplayer AI (Teams collaborating with shared AI agents)

  • Compute at Sea (Offshore data centres)

  • AI-Powered Consumer Products for 1 Billion People

  • AI for the Ageing Population

  • New Operating Systems for the Physical World

  • The Best Time to Build in Crypto (stablecoins, agentic commerce)

  • Data for the Real World

  • Proving You're Human

  • AI-Native Compliance Infrastructure

  • Self-Maintaining APIs

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