Humiris – Next-Gen AI Mixture Layer to Build Advanced Applications
Hi HN, We’re Joel, Louis-Nicolas and Hilario, the founders of Humiris (humiris.ai). Humiris is a next-generation AI infrastructure that lets you build your own model by mixing and optimizing multiple foundation models to achieve high performance, unmatched accuracy , speed, and cost-efficiency. Our platform combines advanced routing, custom reasoning models, and mix tuning to help businesses leverage AI at scale without sacrificing quality or control. Here’s how it works: • Routing Intelligence: Humiris uses a large-scale routing model to automatically select the best LLM based on your…
Humiris – Next-Gen AI Mixture Layer to Build Advanced Applications launched on December 10, 2024 with 15 votes, #999 of 5,365 launches that month and more than 75% of that year's launches.
In plain words
Humiris is an AI infrastructure platform that allows businesses to build custom models by combining multiple foundation models for optimized performance. The platform uses routing intelligence to automatically select the best language model based on specific objectives like cost, speed, or accuracy, and enables creation of custom reasoning models that outperform individual models. It is designed for enterprises seeking to deploy AI at scale with greater control and efficiency across SaaS, private, or on-premises deployments.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, We’re Joel, Louis-Nicolas and Hilario, the founders of Humiris (humiris.ai). Humiris is a next-generation AI infrastructure that lets you build your own model by mixing and optimizing multiple foundation models to achieve high performance, unmatched accuracy , speed, and cost-efficiency. Our platform combines…
Does a similar job
all alternatives →
TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…
FastRouter.ai22d ago · fastrouter.ai · ▲364Route requests to the right LLM for cost, latency & quality


More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video

Source: Show HN post ↗ · launch text quoted in part