Pipeshift
Pipeshift helps engineering teams run real-time inference in production. We offer optimized runtimes to meet latency/throughput SLAs, paired with infrastructure orchestration that auto-scales and routes workloads across clusters and regions at cost-effective rates.
Y Combinator
yc-company-directory #2698Pipeshift helps engineering teams run real-time inference in production. We offer optimized runtimes to meet latency/throughput SLAs, paired with infrastructure orchestration that auto-scales and routes workloads across clusters and regions at cost-effective rates.
sourcePipeshift is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Pipeshift
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Denormalized
match 87Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.
shared extracted concept terms: real, time, inference; shared product terms: real, time, infrastructure, inference; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Talking Computers
match 85We deploy fleets of AI Infrastructure Engineers to collaborate over week-long time horizons, run 100s of experiments in parallel, and learn from them to optimize your training/ inference infrastructure to your workloads. We've partnered with companies to speed up their GPU kernels to 6x SOTA, and improved the latency of voice models to twice the competition.
shared extracted concept terms: infrastructure, inference; shared product terms: engineer, run, time, inference; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Humans Deliver
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shared extracted concept terms: real, time; shared product terms: real, time, optimiz, cost; shared product theme: developer infrastructure; same category: AI infrastructure
Noya Software
match 59Noya is a new kind of product design tool for non-designers. This is our second time co-founding a design tools company – our first company was acquired by Airbnb in 2017 and we became the design tools team there. At Airbnb, we built the design infrastructure that the entire company relied on to scale design without increasing headcount costs. We did this by letting non-designers (such as marketing, PMs, and engineering) design screens and websites. Now we're making these tools available to ever
shared extracted concept terms: infrastructure; shared product terms: time, infrastructure, scale, cost; shared product theme: developer infrastructure; same category: AI infrastructure; shared affiliation: Y Combinator
Prism
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shared extracted concept terms: infrastructure, orchestration; shared product terms: engineer, production, infrastructure, orchestration; shared product theme: developer infrastructure; shared affiliation: Y Combinator
Polymorph
match 56Polymorph is building the future of the consumer internet: one that adapts to each user and optimizes for delightful experiences by building agents that constantly run thousands of experiments that scale our customers' product ideas and brand. Team has extensive startup, AI, and math backgrounds: - founding engineer at a unicorn - ML infrastructure @ Scale AI (inference), AWS Bedrock (fine-tuning) - ads engineering @ Meta & Twitch - IMO & IOI medalists
shared extracted concept terms: infrastructure; shared product terms: engineer, run, inference, infrastructure; shared product theme: developer infrastructure; shared affiliation: Y Combinator