<p>Hey Product Hunt! 👋<br></p><p>Barath here, founder of <a href="http://Oxlo.ai" target="_blank" rel="nofollow noopener noreferrer">Oxlo.ai</a>.<br></p><p>🎉 <strong>Launch Day Offer</strong></p><p>As a thank you to the Product Hunt community, we’re offering an instant <strong>10% discount</strong> on all subscriptions during launch day.<br></p><p>Use code <strong>OXLOPH</strong> at checkout to claim it.<br></p><p>We built <a href="http://Oxlo.ai" target="_blank" rel="nofollow noopener noreferrer">Oxlo.ai</a> because we saw a growing problem as AI agents moved from demos into production.</p><p>When agents run continuously, usage becomes difficult to forecast. A successful agent does more than generate text. It reasons, calls tools, executes workflows, and serves real users. As adoption grows, infrastructure spend grows with it.<br></p><p>We wanted teams to focus on building and scaling their agents, not worrying about whether next month’s AI bill would be 2x or 10x higher.<br></p><p>🚀 <strong>What is </strong><a href="http://Oxlo.ai" target="_blank" rel="nofollow noopener noreferrer"><strong>Oxlo.ai</strong></a><strong>?</strong><br></p><p><a href="http://Oxlo.ai" target="_blank" rel="nofollow noopener noreferrer">Oxlo.ai</a> gives developers access to 35+ frontier AI models through a single OpenAI-compatible API and fixed monthly subscriptions.<br></p><p>Built with a privacy-first approach, we never train on your prompts or access your data for model training. Developers can also compare models side by side and calibrate responses by adjusting model parameters before moving applications and agents into production.<br></p><p>Instead of charging for every token consumed, we absorb usage variability and infrastructure complexity to give teams a stable monthly bill while running AI agents in production.<br></p><p>💡 <strong>Who is it for?</strong><br></p><p>Teams building AI agents, copilots, AI employees, workflow automations, customer support agents, internal tools, and AI-powered products that need reliable model access at scale.<br></p><p>⚡ <strong>Built for builders</strong><br></p><p>• OpenAI-compatible API<br>• 35+ frontier AI models<br>• Unlimited tool calls<br>• Fixed monthly subscriptions<br>• Privacy-first infrastructure<br>• Compare models and calibrate responses before deploying<br>• Built for production AI applications and agents<br></p><p>🌍 <strong>Early traction</strong><br></p><p>Over the past few months, <a href="http://Oxlo.ai" target="_blank" rel="nofollow noopener noreferrer">Oxlo.ai</a> has grown to more than 3,500 users across 100+ countries.</p><p>Over the same period, we’ve continuously refined the platform through more than 20 product updates spanning onboarding, reliability, model access, and developer experience.<br></p><p>🙏 <strong>We’d love your feedback</strong><br></p><p>If you’re building AI agents or deploying AI into production, we’d love to hear how you’re thinking about infrastructure, privacy, costs, and scaling.<br></p><p>Me and the team will be around all day to answer questions.<br></p><p>Happy hunting! 🚀</p>
<p>The agent spend forecasting problem is what gets teams in trouble - you ship something that works, it starts getting real usage, and suddenly your AI infrastructure bill looks like a ransomware demand. We went through exactly this building agentic workflows - prototype costs look fine, then the agent starts doing multi-step reasoning chains at scale and the bill triples.</p><p></p><p>Quick question on the mechanics: when my agent makes a call, do I explicitly pick the model per request, or does Oxlo do any routing/optimization automatically? I'm guessing explicit control is better for quality guarantees, but curious whether you have any plans for cost-aware routing as an optional layer - like "use the cheapest model that meets this quality threshold."</p><p></p><p>Congrats on the launch - the fixed pricing angle is smart positioning for teams trying to get finance sign-off on AI infra.</p>
<p>One thing I've noticed with AI copilots is that the challenge isn't generating suggestions, it's earning enough trust for people to rely on them in their daily workflow. I like that Oxlo AI seems to focus on becoming part of the workflow instead of just another chat interface. That's a much harder problem to solve.</p><p>How do you know when users have started trusting Oxlo enough to rely on it every day?</p>
