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AI gets enterprise data wrong. Sphinx makes it right.

New York
Joined June 2025
Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)Photo by Sphinx AI (@getsphinx)
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Sphinx AI retweeted
Behind every AI breakthrough is an infrastructure layer making it possible. The @redpoint InfraRed 100 List is here, recognizing 100 transformative companies building that critical layer. We’re thrilled to announce that 27 Lightspeed-backed companies have been included in this year’s list. Congratulations to: @AnthropicAI, @AWNetworks, @chainguard_dev, @ClickhouseDB, @cyera_io, @databricks, @docker, @elevenlabs, @emergentlabs*, Eon, @exaailabs, @FireworksAI_HQ, @glean, @grafana, @inferact, @judgmentlabs, @mistralai, @nexthopai, @PatronusAI, @raindrop_ai, @reactorworld, ScaleOps, @semgrep, @getsphinx, @stripe, @supabase, and @temporalio. Lightspeed is proud to back teams that are working to help power the future of intelligence. *Emergent is a portfolio company of Lightspeed India Partners ("LSIP"), a separate and distinct investment advisory entity from Lightspeed Management Company, L.L.C. ("LSVP"). LSVP and LSIP are not a unitary enterprise.
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Excited to announce Sphinx 2.0. AI messes up on enterprise data. Sphinx makes it right. Sphinx enforces data accuracy across all your AI tools. See how it works: sphinx.ai/blog/launching-sph…
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Sphinx 1.0 is out now! Try it now at app.prod.sphinx.ai!
The world’s most powerful data agent releases today. Sphinx 1.0 is here to power elite data teams.
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The best coding agents don’t understand data well enough to have good analytical instincts. Claude 4.5 Opus (right) confidently fits a single line to data with clear structure. The code runs, but the result is shoddy. Sphinx (left) is a real data scientist, not just a coder 👇
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Behind the scenes, we've been overhauling our agentic evaluation and alignment procedures, and users can expect many improvements to Sphinx's behavior, ranging from data science expertise to Jupyter notebook fluency. We'll be sharing more details on our research results soon!
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Have a lot of different notebooks you've been using with Sphinx? It's now much easier to keep track of all your Sphinx analyses, since the chat history is now global!
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Sphinx can now search the internet for useful context, powered by the awesome tools of Parallel Web Systems (@p0)! Sphinx is especially adept at using this tool to search for open datasets and APIs to use in analyses, such as stock prices, weather data, and sports results.
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Sphinx 0.9 is out now, featuring several long-requested product improvements, as well as the first agentic results from our recently overhauled research efforts. Read more below!
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It's unfortunate to see this happen -- the point of climbing benchmarks is to help firms like ours deliver a better experience to users, not just to post fake high scores See more on how Sphinx is working through the leak here: sphinx.ai/blog/goodbye-dabst…
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Thank you to @Adyen and @huggingface for the DABstep benchmark. This work helps define what great looks like and raises the bar for everyone. While Sphinx is moving away from DABstep as a primary benchmark after a test-set leak, we’ll still use it in a limited capacity. [1/2]
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Lastly, we've doubled usage limits for all tiers of Sphinx, so that all users can experience using Sphinx more. Check out the full changelog here! sphinx.ai/blog/sphinx-0-8/
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Sphinx also is now able to perform Jupyter-aware file search. This is important because if your Jupyter server is hosted on a remote machine (like via Colab), your kernel will only be able to access that remote machine's file system. Sphinx understands this.
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0.8 also lets you pick from one of three different Engines, each offering a different personality and tradeoff of speed and quality. Engines are carefully curated and we set a high bar for inclusion in Sphinx, so that users have only the best.
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Plan Mode is a massive improvement to Sphinx's ability to tackle complicated and underspecified analyses. With Plan Mode selected, Sphinx will generate a detailed strategy for how to approach each problem, considering details like feature selection, confounds, and data cleaning.
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0.8 is now LIVE and it's the largest update yet, featuring Plan Mode, new Anthropic-powered engines, Jupyter-aware file search, and MORE!
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As we head into the long weekend, I’m excited to dive into a few pet data projects. What’s making this ridiculously easy is Sphinx AI + the new Google Colab extension. In <1 min, I can spin up free GPUs for our best-in-class copilot. See how below! Added bonus: it's all free 💸
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No compute? No problem! You can now use Sphinx with Google Colab's VS Code extension to build complex models and analyses in your IDE, all totally free and with no need for local resources! See Sphinx build a CNN model on MNIST on a Colab GPU:
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See the full deep dive and more details on our blog! sphinx.ai/blog/not-all-data-…
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