Joinable Labs today announced its official launch, emerging from stealth with a bold mission: to help AI Builders radically accelerate Time-to-Intelligence (TTI) — the time it takes to go from messy, fragmented data to a working, effective production Private AI system.

The company also unveiled its debut product, RAG in a BOX, the fastest way for AI Builders to prototype and deploy AI systems using proprietary data — up to 50x faster than traditional approaches.

Joinable Labs is backed by a $2 million seed round from a roster of visionary investors including leaders from Aethir, ASI, Zero Gravity, LayerZero, and Canva’s AI team, as well as top venture firms Accomplice Blockchain, Tess Ventures, and VitalStage Ventures and other strategic angels.

The Time-to-Intelligence Challenge

Despite the hype surrounding AI, building real-world AI systems remains slow, fragmented, and frustrating — especially when working with proprietary or sensitive data. AI Builders — ranging from engineers to product leaders, technical and non-technical alike — are often hamstrung by siloed tools, privacy concerns, and brittle workflows that delay deployment by months.

“AI Builders need more than models — they need alignment and momentum,” said Brian Shin, Co-Founder of Joinable Labs. “Joinable is designed to give teams the power to go from raw data to running AI in hours, not months.”

Introducing the Joinable Time-to-Intelligence Acceleration Platform

At the heart of Joinable is its TTI Acceleration Platform, purpose-built to:

• Extract unstructured or siloed enterprise data (PDFs, spreadsheets, images, research papers, HR records, etc.)
• Parse into structured, AI-ready formats
• Train private, secure AI models tailored to an organization’s specific needs

Joinable’s platform works seamlessly across data types, deployment environments, and AI workflows — all while maintaining strict privacy and data control.

Meet RAG in a BOX: Rapid AI Prototyping, Simplified

Joinable’s first product, RAG in a BOX, is an all-in-one prototyping toolkit that empowers AI Builders to launch a Private AI system in record time. With RAG in a BOX, users can launch Retrieval-Augmented Generation (RAG) AI in record time by:

• Loading custom proprietary data (documents, emails, spreadsheets, images, etc.)
• Choosing from top-tier LLMs including models from DeepSeek, Google, Meta, Alibaba, and others
• Deploying instantly via no-code templates or directly into custom applications using an API

Whether you’re a startup building an internal agent or an enterprise deploying AI securely at scale, Joinable RAG in a BOX delivers speed, flexibility, and full control.

Backed by Industry Pioneers

Joinable’s launch is supported by $2 million in seed funding from leaders at the forefront of AI and Web3 innovation. Investors include:

• Founders and technical leaders from Aethir, ASI, Zero Gravity, LayerZero, and Canva’s AI team
• Top-tier funds such as Accomplice Blockchain, Tess Ventures, and VitalStage Ventures and other strategic angels.

“Our backers understand that proprietary data is the new oil — and the ability to harvest it and refine it into Private AI is the next major unlock,” said Shin.

Joinable’s roadmap includes tools for AI model evaluation, scalable data processing, custom AI model fine-tuning, and community-powered data aggregation and self-labeling. But the journey starts now — with RAG in a BOX.

“Welcome to the Time-to-Intelligence acceleration era,” said Shin. “Joinable is here to help.”

About Joinable Labs
Joinable Labs is the Time-to-Intelligence acceleration platform for Private AI. Founded to accelerate the AI development lifecycle for AI Builders working with proprietary data, Joinable helps teams go from raw data to effective Private AI systems up to 50x faster — without sacrificing privacy, security, or control. The company was founded by experienced AI and Web 3 leaders that have co-founded two venture-backed AI startups, co-authored multiple foundational AI patents, and led AI for an $8.5bn public software company. Joinable is backed by leading investors in AI and Web3 and is headquartered in San Francisco, CA.

Press Contact:
Brian Shin
Joinable Labs
press@joinable.ai
www.joinable.ai

Joinable Labs Launches Accelerate the Time-to-Intelligence of Private AI with $2M Seed Round and… was originally published in Joinable on Medium, where people are continuing the conversation by highlighting and responding to this story.

The AI era is here — but building real, production-grade AI systems with proprietary data remains slow, fragmented, and frustrating. Achieving accurate, effective AI is proving to be especially challenging. AI Builders — from engineers to product leaders, technical and non-technical alike — face a tangle of siloed tools, privacy concerns, and brittle workflows. The result? It can take some teams months of effort just to get from raw data to a working prototype.

At Joinable Labs, we believe it’s time for something better.
We’re on a mission to radically accelerate Time-to-Intelligence (TTI) — the time it takes to go from messy, fragmented data to a working Private AI system that delivers real value.

Today, we’re excited to announce the launch of Joinable Labs, the Time-to-Intelligence platform for Private AI, and the release of our first product for AI Builders: RAG-in-a-BOX.

Backed by Visionaries at the Forefront of AI and Web3

Joinable Labs is launching with $2M in seed funding from some of the most forward-thinking founders and investors in AI and Web3:

• Founders and technical leaders from Aethir, Zero Gravity, LayerZero, and Canva’s AI team
• Venture capital firms including Accomplice Blockchain, Tess Ventures, and VitalStage Ventures

These partners share our vision: a future where proprietary data is a strategic advantage and AI systems are easy to build, safe to deploy, and lightning-fast to launch.

What’s Next

We’re just getting started.

Our roadmap includes more tools to further compress Time-to-Intelligence for AI Builders: AI model evaluation and selection, massively scalable processing for AI-ready data, custom AI model fine-tuning, Community-driven data labeling and training, and more.

But today, we invite you to start with RAG-in-a-BOX and see for yourself how fast Private AI can really be.

Welcome to the TTI era. Welcome to Joinable.

Contact:

Joinable Labs

Email: info@joinablelabs.com

Joinable Official Website: https://www.joinable.ai/

TTI Website: https://www.tti.dev/

Discord: https://discord.gg/joinable

Twitter: https://x.com/joinableai

Introducing Joinable Labs: Accelerating the Time-to-Intelligence Era of Private AI was originally published in Joinable on Medium, where people are continuing the conversation by highlighting and responding to this story.

As artificial intelligence (AI) continues to transform industries, from healthcare to logistics, many organizations struggle to translate their AI ambitions into real-world impact.

Additionally, stakeholders within organizations face pressure from multiple angles and often have conflicting expectations for

1. What is possible
2. How long it will take or
3. How much should be invested for an AI System

Misalignment of timelines, resources, and expectations are some of the major reasons why it is estimated that up to 85% of enterprise AI initiatives fail.

Brian Shin, co-founder of Joinable Labs, dealt with many of these issues first hand while leading AI initiatives for an $8.5bn public software company. In one instance, one of the product development teams Brian was helping to lead demo’d a working prototype of an AI system they had been developing for 7 weeks.

The demo was met with a disturbing range of reactions. Some people were impressed because their expectations had been quite low due to the perceived challenges of developing the first AI system for this established company. But some senior executives and board members were concerned because they were measuring progress against what some AI-native companies had developed over the course of the prior several years.

Brian recognized that one of the key challenges with this situation was a fundamental misalignment of expectations and resources.

What was needed was a unifying metric and corresponding framework for AI Builders, both technical and non-technical.

Time-to-Intelligence (TTI) is designed to help AI Builders unify teams and accelerate AI project success. TTI is poised to help shape how AI Builders — engineers, product managers, and business leaders — deliver value by focusing on speed, alignment, and measurable outcomes.

The Challenge: AI’s Alignment Problem

Despite significant investments in AI, many projects stall or fail — not due to a lack of talent or technology, but because teams lack a shared understanding of success and clear expectations around time, cost, accuracy, and effectiveness. Engineers may focus on model accuracy and infrastructure, executives may prioritize net new revenue generation or their stock price, and cross-functional teams struggle to align on timelines and deliverables. This misalignment often leads to delayed projects, wasted resources, and missed opportunities.

“AI is everywhere, but alignment is not,” says Brian Shin. “Time-to-Intelligence is meant to empower AI Builders to unify teams around a shared vision by giving teams a clear, unifying metric: how quickly and cost-effectively can we deliver actionable intelligence that drives impact.”

What is Time-to-Intelligence

Time-to-Intelligence (TTI) measures the time from identifying an AI opportunity to delivering actionable, production-ready intelligence that delivers value for users. TTI emphasizes real-world impact: Data → Insight → Impact and is intended to be a lingua franca for all stakeholders from the board of directors to the senior leadership team to product management, marketing, design, and engineering and DevOps.

TTI is designed for AI Builders — anyone involved in turning data into intelligent systems, including software engineers, machine learning experts, product managers, domain specialists, and business leaders. By reframing AI success around speed and value, TTI aligns stakeholders and streamlines the path to deployment.

Why TTI Matters

In today’s fast-paced environment, speed is a competitive differentiator. TTI empowers organizations by:

• Fostering Alignment: Ensures engineers, operations, legal, and executives share a clear definition of “done.”
• Accelerating Iterations: Identifies bottlenecks in data readiness or deployment early.
• Improving Scoping: Prioritizes projects based on their potential for rapid impact.
• Delivering Measurable Outcomes: Provides a clear timeline for ROI, answering the question, “What’s the value of our AI?”

Real-World Impact

TTI is already helping real teams ship smarter, faster:

1. A healthcare startup reduced AI delivery time from 10 weeks to 6 by mapping their process into TTI phases — data cleaning, model training, and EHR integration — allowing clinicians to flag patient risks in real time.
2. A financial advisory firm built an intelligent search layer over 20 years of PDFs, cutting research time from 30 minutes to 3 seconds.
3. A logistics engineer refocused from prediction accuracy to reducing late shipments — winning cross-team buy-in and unlocking business value.

TTI is already transforming organizations. A healthcare startup reduced its AI delivery timeline from 10 weeks to 6 by mapping TTI phases — data cleaning, model training, and workflow integration — enabling clinicians to access real-time patient risk flags in their electronic health records (EHR). A financial advisory firm turned 20 years of archived PDFs into an intelligent search layer, cutting research time from 30 minutes to 3 seconds. A logistics engineer used TTI to shift focus from prediction accuracy to reducing late shipments, unlocking cross-team support and delivering clear business value.

How to Adopt TTI

TTI is not a new process but a framework to align AI initiatives.

Brian Shin recommends teams start by asking:

• What does effective AI look like for this project?
• Who needs to approve the budget, and what do they need to see?
• What resources and expertise can we leverage?
• How long will it take to deliver production-ready AI, and what’s blocking a shorter timeline?

Brian Shin advises breaking TTI into four phases:

• Data Readiness: Is the data clean, structured, and secure? Can we use it immediately?
• Model Readiness: Is the model tuned to the use case? Can we test and refine it fast?
• Integration: Can users access outputs in the right context (UI, API, workflow)?
• Adoption & Optimization: Does the AI change outcomes or streamline workflows?

Developing an early prototype is also key, providing a tangible way to solidify alignment and gather feedback before significant resources are invested.

Join the TTI Movement

To support AI Builders worldwide, Joinable Labs has launched TTI.dev, a free resource hub featuring the TTI Estimator, an eBook, and a community for sharing best practices.

“Speed is the new differentiator,” Brian Shin emphasizes. “TTI gives teams a shared language and a clear goal to deliver smarter, faster.” Let’s build AI that doesn’t just promise intelligence — it delivers it.

Contact:

Joinable Labs

Email: info@joinablelabs.com

TTI Website: https://www.tti.dev/

Discord: https://discord.gg/joinable

Twitter: https://x.com/joinableai

Joinable Official Website: https://www.joinable.ai/

Time-to-Intelligence — The Alignment Metric for AI Builders was originally published in Joinable on Medium, where people are continuing the conversation by highlighting and responding to this story.