Silicore Automation
Dubai & Italy
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Proprietary & experimental projects

What we’re building inside Silicore.

Internal products and R&D that explore new applications of AI, automation, and software — separate from client delivery, but part of how we innovate.

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5 active projects 2 live platforms 1 open source
silicore labs · index05
  1. 01VibesBridge
  2. 02Procurement AI
  3. 03CodeDNA
  4. 04AXL
  5. 05Their Story

Two live platforms, one open-source project, two still in the lab.

The lab index

Five bets we’re running ourselves.

Some are live platforms, some are still experiments. All of them are funded, built, and tested inside Silicore — before anyone asks for them.

PlatformTalent platform

VibesBridge

Connects companies with qualified digital professionals — a more direct alternative to traditional marketplaces for software, AI, automation, and mobile work. Focused on selection, simpler relationships, and fewer marketplace barriers.

VibesBridge is a platform connecting companies with qualified digital professionals. It was created as a more direct alternative to traditional marketplaces, making it easier for clients and professionals to connect in software development, AI, automation, and mobile development.

The platform focuses on professional selection, simplicity in the relationship between both parties, and a model designed to reduce many traditional freelance-marketplace barriers.

  • Selected, qualified professionals
  • Direct client–professional relationship
  • Fewer freelance-marketplace barriers
Software developmentAIAutomationMobile development

selected talent · direct relationship

PlatformAgentic infrastructure

Procurement AI

Automation and intelligence for procurement: agents that search products and suppliers, compare prices and terms, check availability, analyze alternatives, monitor offers, query catalogs, and interact with suppliers and business systems via MCP and connectors.

Procurement AI is an infrastructure where AI agents do the legwork of procurement — searching, comparing, checking, and monitoring across suppliers and business systems, so procurement departments can decide instead of chase.

  • Search for products and suppliers
  • Compare prices and terms
  • Check availability
  • Analyze alternatives
  • Monitor offers
  • Query catalogs
  • Support procurement departments
  • Interact with suppliers and business systems

Through MCP and dedicated connectors, Procurement AI aims to create an ecosystem where software, catalogs, and agents communicate in a standardized way.

the agent loop over suppliers & catalogs

Open sourceContext Engineering

CodeDNA

Context Engineering for AI coding agents — structured project behavior, conventions, and architecture inside the codebase so agents understand the project better, across models and tools.

CodeDNA is an open-source project focused on Context Engineering for AI software development agents. It provides coding agents with structured information about the behavior, conventions, and architecture of a software project — directly within the codebase.

It is designed to work with different AI coding models and tools, reducing dependency on any specific provider.

  • Structured project context, shipped inside the codebase
  • Works across AI coding models and tools — no provider lock-in
  • A new layer of communication between source code and AI agents
  • Better project understanding, better generated changes

context engineering, inside the codebase

ExperimentalExperimental

AXL

An R&D project exploring new forms of interaction between Artificial Intelligence, software, and agentic systems. Features and architecture are evolving.

AXL is an experimental project currently under development at Silicore. It is part of the company’s research and development activities, used to explore new forms of interaction between Artificial Intelligence, software, and agentic systems.

Features and architecture are currently evolving — and, for now, undisclosed.

capabilities & architecture — undisclosed

ProductDigital memory

Their Story

Digital preservation of personal memories — voice, images, videos, stories, and voluntarily shared information — exploring memory, digital identity, and AI over time.

Their Story is dedicated to the digital preservation of personal memories: voice, images, videos, stories, experiences, and voluntarily shared personal information.

The goal is a digital memory preserved over time that, as AI technologies evolve, becomes increasingly interactive. The project explores the relationship between memory, digital identity, and Artificial Intelligence — with a vision toward future technological possibilities.

  • A digital memory preserved over time
  • Increasingly interactive as AI evolves
  • Exploring memory, digital identity, and AI
VoiceImagesVideosStoriesExperiences

voice · images · video · stories — preserved

How the lab works

Internal bets. Real-world tests.

Built inside Silicore

Every lab project is an internal bet — funded by client work, run by our own team, on our own dime.

Tested with real users

Nothing stays a demo. Platforms ship, experiments meet reality, and feedback decides what survives.

Graduated into client work

What proves itself in the lab becomes part of what we build for clients.

Silicore Labs

Curious about a lab project?

Ask us what’s shipping, what’s experimental, and what might fit your roadmap.

Contact Silicore See client work

Frequently asked questions

What is Silicore Labs?

Silicore Labs is Silicore's research and development arm — building proprietary and experimental products that explore new applications of Artificial Intelligence, automation, and software development.

What projects are part of Silicore Labs?

Silicore Labs includes VibesBridge (connecting companies with digital professionals), Procurement AI (AI for procurement processes), CodeDNA (open-source context engineering for coding agents), AXL (experimental agentic systems research), and Their Story (digital memory preservation).

Are Silicore Labs projects available to clients?

Some Labs projects are live platforms; others are in development or experimental. Silicore applies R&D learnings from Labs into client-facing NeoAI, Amy AI, and custom software engagements.

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What we’re building inside Silicore. | Silicore Automation