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Sourced product detail plus founders, customers, workflow, pricing, origins or business model.
The cloud for AI agents: managed hosting for any agent. Deploy it, one per customer, on its own isolated computer with channels, models and security handled, for $1 a month per agent. Sandboxes, Linux and Windows desktops and Android…
Founders · Pricing · Product · How it works
Agnost monitors production AI agents, finds silent failures, and turns trace data into tested fixes and specialized models.
Founders · Pricing · Product · How it works
Attribute AI spend to the customer, feature, team, or pull request that caused it, across OpenAI, Anthropic, Cursor, and every other provider you use. Free to start.
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Expanse predicts exactly what every job needs before it runs, so your cluster does more real work with the GPUs you already have.
Founders · Product · How it works
Senso is the trusted AI answer. Verified Sources — your ground truth, checked claim by claim and published where AI agents read, cite, and act.
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Sygaldry builds quantum-accelerated AI servers to exponentially speed up AI training and inference, cutting compute costs and improving energy efficiency
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Petrarch helps operators across the critical infrastructure chain prepare their proprietary operational records, cleared and anonymized on premise, so the AI systems building for the physical world can learn from real work.
Customers · Founders · Product
Osmosis is a post-training platform that helps companies fine-tune language models using reinforcement learning. We work with fast-growing AI companies to train task/domain-specific models that beat foundation models on performance…
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Kashikoi is an all in one simulation platform that allows you to build, evaluate and truly test your AI agent so you can fix bugs before your customers ever see them.
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Spend on AI with confidence. Every task runs on the right model, with proof from your own traffic that quality still meets your standards.
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Codag cuts coding-agent costs without changing how developers work. One command attaches it to Claude Code and Codex, and it teaches your agent to read large tool results efficiently.
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Custom conversational audio datasets, expert annotation, and licensed voice actor data for training and evaluating speech and voice AI models.
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Olam Labs measures social intelligence in AI models for safety, agent performance, and real-world use, through behavioral evaluations in multi-agent simulations where models cooperate, deceive, and negotiate.
Founders · Origins · Product
At Reform, we’re building a platform for building and managing AI agents that perform high-stakes operational work. Some of the most critical industries today run on outdated systems, spreadsheets, and manual processes - creating…
Founders · Product · How it works
Respan is an open-source AI gateway with built-in observability and evals.
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Schedule training jobs, track experiments, and serve endpoints. Use one tool or all three, with reliability built into each.
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Chamber — AIOps agents for ML teams. Diagnose failed training jobs, reclaim idle GPUs, and keep every node healthy — so researchers stay focused on building models. YC W26.
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CTGT is an applied AI research laboratory fundamentally solving the alignment and reliability bottleneck for enterprise AI. For enterprises, especially highly regulated industries, deploying Generative AI is historically a compromise…
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If your enterprise runs on Java, so should your agents. Built on the language, infrastructure, and security model your engineers already trust.
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MSPilot is the AI control plane for the MSP channel. Build, govern, and monetize AI agents across every SMB you serve - turning AI into every MSP's next recurring revenue line.
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Mantis builds the infrastructure layer for living, predictive models of individual human beings — forecast to the horizon where a decision still has to be made. Starting with medicine.
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Lilac is white-label GPU operations software that turns any GPU cluster into a reliable neocloud: servers proven before they reach a customer, watched around the clock, metered to one record.
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Lamb Labs is building MPUs (Model Processing Units). We hardcode the entire model, including its weights, into silicon. The model is the chip. This solves the memory-bandwidth bottleneck GPUs face, targeting 20,000+ tokens per second.
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An applied AI research lab building dependable, domain-grounded agents.
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