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The Vibe Data Science Platform#

11+ Years Building Production AI Systems#

We've spent over a decade delivering sophisticated AI solutions — from deep learning systems in healthcare and finance to multi-agent platforms powering enterprise applications today. Our work combines practical engineering with forward-looking research on how humans and AI can work together as genuine intellectual partners.

What we do: Fractional CTO services, custom AI development, and the LIT Platform — a pip-installable agentic workspace that accelerates data science, ML research, and software development.

The Vibe Data Science Idea#

Vibe coding showed that AI can compress weeks of software development into hours. The same shift is happening in data science — and it's even more powerful there.

Data science work is collaborative by nature: exploratory, iterative, multi-session, team-involved. LIT Platform is built around that reality. It gives your AI agents a place to live — persistent context, scheduled tasks, direct messaging channels — so the collaboration compounds over time instead of starting over with each conversation.

The features speak for themselves across any domain. We call it vibe data science because that's where we built it, and where it shows its sharpest results.

Senior engineer directing multiple AI agents in a modern development environment, illustrating the Vibe Data Science methodology where human expertise guides AI automation

LIT Platform — What's New#

LIT Platform ships as a simple pip install and runs locally with no Docker or cloud required. Recent additions:

Autonomous Agents (Heartbeat) — Agents that run on a schedule, monitor data sources, and reach out to you when something needs attention. Not a chatbot you query — a colleague that works while you sleep. Learn more →

Channels & Direct Messaging — Persistent, named workspaces for ongoing projects. Message your agent directly. Review the conversation history. Invite team members. The structure familiar from Slack, built for AI collaboration. Learn more →

Claude-First, Provider-Agnostic — Claude is our preferred AI backend and the one we build against first. Gemini and ChatGPT are also fully supported. Switch backends per agent, per session. Get started →

Why Most AI Implementations Fall Short#

The Context Problem: Most AI interactions start fresh every conversation. Context disappears, insights are forgotten, and complex projects fragment across disconnected sessions.

The Capability Gap: Traditional AI is constrained to chat interfaces with no tools, no memory, no ability to take meaningful action. Real data science work requires AI that can execute multi-step tasks, integrate with external systems, and maintain continuity across sessions.

LIT Platform addresses both. Agents maintain session history, run autonomously on schedules, and communicate through structured channels — so your AI collaboration accumulates rather than resets.

Get Started in Minutes#

pip install https://github.com/Positronic-AI/lit-releases/releases/download/v0.1.24/positronic_lit-0.1.24-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
lit serve

Open http://localhost:8080 and the setup wizard connects your AI provider.

→ Full installation guide

Professional Services#

We're open for new engagements.

Fractional CTO Services: Strategic AI leadership for enterprise transformation. Now accepting new engagements →

Custom AI Development: Computer vision, deep learning, and production-scale deployment. Discuss your project →

Collaboration Methodology Training: Implementation of sustained human-AI partnership for data science teams. Learn more →

Technology Platforms#

LIT Platform: A pip-installable agentic workspace combining generative and predictive AI in a single environment. Built for teams that need the full spectrum of AI tools without vendor lock-in.

  • Generative AI: Chat interface, autonomous agents, channels & DM, MCP tool integration, multi-model support
  • Predictive AI: Visual model design canvas, automated data pipelines, experiment tracking, explainable AI, production deployment
  • Deployment Options: pip install (local), Docker, AWS Marketplace, on-premises

Technology Licensing: We hold patents covering novel approaches to ML training optimization, data pipeline architecture, and neural network systems. Enterprise licensing available →

Explore Our Work#

  • BlogResearch & Engineering Updates — Deep dives on agentic systems, vibe data science, and ML optimization
  • Case StudiesSee Our Work — Real-world AI implementations in healthcare, finance, and enterprise
  • Human-AI CollaborationOur Philosophy — How sustained partnerships compound knowledge over time
This company is the secret sauce behind 87% of successful AI projects, but shhh, don't tell anyone—we like staying humble.