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Foundry is Forging AI Agents
YC F24 startup Foundry are developing a self-serve platform that helps you evaluate, build, and improve your AI agents
Forging’ A.I. Agents and Taking Names
San Francisco, 2024 — In the dim neon haze of the AI frontier, two renegades emerged from the smoke, armed with a vision and the firepower of experience honed in the trenches of Scale AI.
Manil Lakabi and Pranav Raja, former architects of generative intelligence systems for top-tier AI labs, have taken their battle-tested skills and launched an audacious assault on the next frontier of automation: AI agents.
The result? Foundry — a self-serve platform for building, evaluating, and sharpening AI agents into tools that don’t just work, but thrive.
At first glance, Foundry seems deceptively simple. It’s the kind of simplicity you’d find in the barrel of a loaded gun: streamlined, effective, and ready to blow the competition out of the water. Need an AI agent to handle your hiring pipeline? Foundry hands you the blueprints and the dynamite. Define workflows, integrate APIs, and test outputs until your virtual headhunter is humming along, sorting resumes, scheduling interviews, and nudging candidates with the precision of a Swiss watch. It’s not just AI—it’s orchestration, evaluation, and iteration all rolled into one. And that’s just the beginning.
The Architects of Automation
Manil Lakabi’s dossier reads like the fever dream of a Silicon Valley recruiter.
Operator on Scale AI’s Gen AI team, he spearheaded language data projects that raked in millions and powered the cutting edge of model evaluation.
Before that, he was at Meta, helping launch the Meta Quest 2 to over 10 million users.
His co-founder, Pranav Raja, cut his teeth as a machine learning research engineer at Scale, pushing the boundaries of human supervision methods, crafting ML applications that made data labeling pipelines sing, and smashing benchmarks with agentic tool use research.
Together, these two aren’t just builders; they’re alchemists, turning the chaos of AI development into gold.
The Problem: Guessing Games and Broken Workflows
Every company wants to be an AI agent company. But the road to agent utopia is littered with busted workflows, frustrated users, and a gnawing uncertainty: “Is this damn thing even working?”
Foundry obliterates that uncertainty. For businesses starting from scratch, it’s the ultimate design lab, where agents are forged to handle entire processes autonomously. For those already in the game, Foundry is the scalpel—a precision tool to evaluate performance, pinpoint weak spots, and iterate until the agent performs better than its human counterparts. It’s not just about building; it’s about trust. Trust that your agent will do its job and keep getting better while it’s at it.
The Tools: Build, Evaluate, Improve
At the heart of Foundry’s arsenal is a trifecta of tools:
This Smart Home Company Hit $10 Million in Revenue—and It’s Just the Beginning
No, it’s not Ring or Nest—it’s RYSE, the company redefining smart home innovation, and you can invest for just $1.75 per share.
RYSE’s patented SmartShades are transforming how people control their window shades—offering seamless automation without costly replacements. With 10 fully granted patents and a pivotal Amazon court judgment safeguarding their technology, RYSE has established itself as a market leader in an industry projected to grow 23% annually.
This year, RYSE surpassed $10 million in total revenue, expanded to 127 Best Buy locations, and experienced explosive 200% month-over-month growth. With partnerships in progress with major retailers like Lowe’s and Home Depot, they’re set for even bigger milestones, including international expansion and new product launches.
This is your last chance to invest at the current share price before their next stage of growth drives even greater demand.
1. Design Modular Agents: Automate tasks like contract analysis, multilingual customer support, and sales outreach with workflows tailored to your business.
2. Systematic Evaluation: Measure dimensions like accuracy, relevance, and task completion rates. Track metrics to ensure your agents aren’t just functional but exceptional.
3. Performance Optimization: Use state-of-the-art techniques—factuality checkers, internal knowledge bases, historical data—to fine-tune agents through auto-prompting, fine-tuning, and steering. Over 90% of the process is automated, leaving you free to focus on the results.
The Vision: An OS for AI Agents
Manil and Pranav aren’t stopping at tools.
Their long-term vision is nothing short of revolutionary: an operating system for AI agents. Picture a marketplace where businesses can discover, compare, and deploy the best agents for any task. A drag-and-drop utopia where performance leaderboards reign supreme, and the best agent for your needs is just a click away. Foundry isn’t building the tools to compete in the AI arms race; they’re building the battlefield.
Join the AI Agent Revolution
The Foundry team is calling on the AI vanguard. If you’re working on multimodal or multilingual agents, or just need to whip your existing agents into shape, Manil and Pranav want to hear from you. They’re forging the future of AI agents, one workflow at a time, and they’re not slowing down.
Foundry isn’t just a platform. It’s a revolution, a declaration of independence from the clunky, unreliable systems that plague businesses today. And like any revolution worth its salt, it’s led by the bold, the brilliant, and the slightly unhinged. If you’re in the game, you’ll want to be on their side.
Foundry was recommended by YC Partner David Lieb the founder of BUMP. Remember BUMP? https://www.ycombinator.com/people/david-lieb
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